// Generated from sub_quantized_different_scales.mod.py // DO NOT EDIT // clang-format off #include "TestHarness.h" using namespace test_helper; // NOLINT(google-build-using-namespace) namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input1 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output0 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 250, 249, 248, 247, 246, 245, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model = TestModelManager::get().add("sub_quantized_different_scales", get_test_model()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // input0 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input1 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output0 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 250, 249, 248, 247, 246, 245, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0}) }, { // input0_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param64 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input1_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder1 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param65 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal", get_test_model_all_inputs_as_internal()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_2() { static TestModel model = { .main = { .operands = {{ // input01 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input11 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output01 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 6, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0, 255, 255, 254, 253, 252, 251, 6, 5, 4, 3, 2, 1}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_2 = TestModelManager::get().add("sub_quantized_different_scales_2", get_test_model_2()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_2() { static TestModel model = { .main = { .operands = {{ // input01 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input11 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output01 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 6, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0, 255, 255, 254, 253, 252, 251, 6, 5, 4, 3, 2, 1}) }, { // input01_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder2 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param66 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input11_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder3 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param67 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_2 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_2", get_test_model_all_inputs_as_internal_2()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_3() { static TestModel model = { .main = { .operands = {{ // input02 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input12 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output02 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 220, 120, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 120, 20, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_3 = TestModelManager::get().add("sub_quantized_different_scales_3", get_test_model_3()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_3() { static TestModel model = { .main = { .operands = {{ // input02 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input12 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output02 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 220, 120, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 120, 20, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120}) }, { // input02_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder4 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param68 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input12_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder5 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param69 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_3 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_3", get_test_model_all_inputs_as_internal_3()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_4() { static TestModel model = { .main = { .operands = {{ // input03 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input13 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param3 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output03 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 96, 95, 95, 95, 95, 95, 145, 145, 145, 145, 145, 144, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 146, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_4 = TestModelManager::get().add("sub_quantized_different_scales_4", get_test_model_4()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_4() { static TestModel model = { .main = { .operands = {{ // input03 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input13 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param3 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output03 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 96, 95, 95, 95, 95, 95, 145, 145, 145, 145, 145, 144, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 146, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120}) }, { // input03_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder6 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param70 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input13_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder7 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param71 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_4 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_4", get_test_model_all_inputs_as_internal_4()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_5() { static TestModel model = { .main = { .operands = {{ // input04 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input14 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param4 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output04 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 6, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0, 255, 255, 254, 253, 252, 251, 6, 5, 4, 3, 2, 1}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_5 = TestModelManager::get().add("sub_quantized_different_scales_5", get_test_model_5()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_5() { static TestModel model = { .main = { .operands = {{ // input04 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input14 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param4 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output04 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 6, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0, 255, 255, 254, 253, 252, 251, 6, 5, 4, 3, 2, 1}) }, { // input04_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder8 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param72 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input14_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder9 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param73 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_5 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_5", get_test_model_all_inputs_as_internal_5()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_6() { static TestModel model = { .main = { .operands = {{ // input05 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input15 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param5 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output05 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 6, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 7, 6, 5, 4, 3, 2, 0, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0, 255, 255, 254, 253, 252, 251, 6, 5, 4, 3, 2, 1, 255, 255, 255, 254, 253, 252, 7, 6, 5, 4, 3, 2}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_6 = TestModelManager::get().add("sub_quantized_different_scales_6", get_test_model_6()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_6() { static TestModel model = { .main = { .operands = {{ // input05 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input15 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param5 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output05 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 6, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 7, 6, 5, 4, 3, 2, 0, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0, 255, 255, 254, 253, 252, 251, 6, 5, 4, 3, 2, 1, 255, 255, 255, 254, 253, 252, 7, 6, 5, 4, 3, 2}) }, { // input05_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder10 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param74 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input15_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder11 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param75 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_6 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_6", get_test_model_all_inputs_as_internal_6()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_7() { static TestModel model = { .main = { .operands = {{ // input06 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input16 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param6 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output06 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 220, 120, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 220, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_7 = TestModelManager::get().add("sub_quantized_different_scales_7", get_test_model_7()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_7() { static TestModel model = { .main = { .operands = {{ // input06 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input16 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param6 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output06 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 220, 120, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 220, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220}) }, { // input06_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder12 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param76 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input16_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder13 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param77 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_7 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_7", get_test_model_all_inputs_as_internal_7()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_8() { static TestModel model = { .main = { .operands = {{ // input07 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input17 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param7 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output07 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 96, 95, 95, 95, 95, 95, 121, 120, 120, 120, 120, 120, 96, 96, 95, 95, 95, 95, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 146, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 146, 146, 145, 145, 145, 145, 121, 120, 120, 120, 120, 120}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_8 = TestModelManager::get().add("sub_quantized_different_scales_8", get_test_model_8()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_8() { static TestModel model = { .main = { .operands = {{ // input07 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input17 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param7 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output07 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 96, 95, 95, 95, 95, 95, 121, 120, 120, 120, 120, 120, 96, 96, 95, 95, 95, 95, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 146, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 146, 146, 145, 145, 145, 145, 121, 120, 120, 120, 120, 120}) }, { // input07_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder14 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param78 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input17_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder15 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param79 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_8 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_8", get_test_model_all_inputs_as_internal_8()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_9() { static TestModel model = { .main = { .operands = {{ // input08 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input18 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param8 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output08 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 4, 4, 4, 4, 4, 4, 251, 251, 251, 251, 251, 251, 249, 249, 249, 249, 249, 249, 252, 252, 252, 252, 252, 252, 250, 250, 250, 250, 250, 250, 253, 253, 253, 253, 253, 253, 251, 251, 251, 251, 251, 251, 254, 254, 254, 254, 254, 254, 252, 252, 252, 252, 252, 252, 255, 255, 255, 255, 255, 255, 253, 253, 253, 253, 253, 253, 255, 255, 255, 255, 255, 255, 254, 254, 254, 254, 254, 254}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_9 = TestModelManager::get().add("sub_quantized_different_scales_9", get_test_model_9()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_9() { static TestModel model = { .main = { .operands = {{ // input08 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input18 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param8 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output08 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 4, 4, 4, 4, 4, 4, 251, 251, 251, 251, 251, 251, 249, 249, 249, 249, 249, 249, 252, 252, 252, 252, 252, 252, 250, 250, 250, 250, 250, 250, 253, 253, 253, 253, 253, 253, 251, 251, 251, 251, 251, 251, 254, 254, 254, 254, 254, 254, 252, 252, 252, 252, 252, 252, 255, 255, 255, 255, 255, 255, 253, 253, 253, 253, 253, 253, 255, 255, 255, 255, 255, 255, 254, 254, 254, 254, 254, 254}) }, { // input08_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder16 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param80 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input18_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder17 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param81 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_9 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_9", get_test_model_all_inputs_as_internal_9()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_10() { static TestModel model = { .main = { .operands = {{ // input09 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input19 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param9 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output09 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 4, 4, 4, 4, 4, 4, 7, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5, 5, 252, 252, 252, 252, 252, 252, 250, 250, 250, 250, 250, 250, 253, 253, 253, 253, 253, 253, 251, 251, 251, 251, 251, 251, 254, 254, 254, 254, 254, 254, 252, 252, 252, 252, 252, 252, 255, 255, 255, 255, 255, 255, 253, 253, 253, 253, 253, 253, 255, 255, 255, 255, 255, 255, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_10 = TestModelManager::get().add("sub_quantized_different_scales_10", get_test_model_10()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_10() { static TestModel model = { .main = { .operands = {{ // input09 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input19 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param9 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output09 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 4, 4, 4, 4, 4, 4, 7, 7, 7, 7, 7, 7, 5, 5, 5, 5, 5, 5, 252, 252, 252, 252, 252, 252, 250, 250, 250, 250, 250, 250, 253, 253, 253, 253, 253, 253, 251, 251, 251, 251, 251, 251, 254, 254, 254, 254, 254, 254, 252, 252, 252, 252, 252, 252, 255, 255, 255, 255, 255, 255, 253, 253, 253, 253, 253, 253, 255, 255, 255, 255, 255, 255, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input09_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder18 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param82 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input19_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder19 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param83 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_10 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_10", get_test_model_all_inputs_as_internal_10()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_11() { static TestModel model = { .main = { .operands = {{ // input010 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input110 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param10 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output010 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 90, 89, 88, 87, 86, 85, 255, 255, 255, 255, 255, 255, 190, 189, 188, 187, 186, 185, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_11 = TestModelManager::get().add("sub_quantized_different_scales_11", get_test_model_11()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_11() { static TestModel model = { .main = { .operands = {{ // input010 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input110 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param10 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output010 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 90, 89, 88, 87, 86, 85, 255, 255, 255, 255, 255, 255, 190, 189, 188, 187, 186, 185, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input010_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder20 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param84 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input110_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder21 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param85 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_11 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_11", get_test_model_all_inputs_as_internal_11()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_12() { static TestModel model = { .main = { .operands = {{ // input011 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input111 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param11 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output011 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 121, 121, 121, 121, 121, 121, 120, 120, 120, 120, 120, 120, 121, 121, 121, 121, 121, 121, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 146, 146, 146, 146, 146, 146, 145, 145, 145, 145, 145, 145, 146, 146, 146, 146, 146, 146, 145, 145, 145, 145, 145, 145}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_12 = TestModelManager::get().add("sub_quantized_different_scales_12", get_test_model_12()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_12() { static TestModel model = { .main = { .operands = {{ // input011 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input111 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param11 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output011 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 121, 121, 121, 121, 121, 121, 120, 120, 120, 120, 120, 120, 121, 121, 121, 121, 121, 121, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 146, 146, 146, 146, 146, 146, 145, 145, 145, 145, 145, 145, 146, 146, 146, 146, 146, 146, 145, 145, 145, 145, 145, 145}) }, { // input011_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder22 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param86 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input111_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder23 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param87 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_12 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_12", get_test_model_all_inputs_as_internal_12()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_13() { static TestModel model = { .main = { .operands = {{ // input012 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input112 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param12 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output012 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_13 = TestModelManager::get().add("sub_quantized_different_scales_13", get_test_model_13()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_13() { static TestModel model = { .main = { .operands = {{ // input012 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input112 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param12 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output012 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }, { // input012_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder24 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param88 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input112_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder25 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param89 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_13 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_13", get_test_model_all_inputs_as_internal_13()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_14() { static TestModel model = { .main = { .operands = {{ // input013 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input113 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param13 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output013 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_14 = TestModelManager::get().add("sub_quantized_different_scales_14", get_test_model_14()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_14() { static TestModel model = { .main = { .operands = {{ // input013 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input113 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param13 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output013 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }, { // input013_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder26 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param90 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input113_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder27 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param91 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_14 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_14", get_test_model_all_inputs_as_internal_14()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_15() { static TestModel model = { .main = { .operands = {{ // input014 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input114 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param14 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output014 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_15 = TestModelManager::get().add("sub_quantized_different_scales_15", get_test_model_15()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_15() { static TestModel model = { .main = { .operands = {{ // input014 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input114 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param14 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output014 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }, { // input014_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder28 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param92 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input114_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder29 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param93 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_15 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_15", get_test_model_all_inputs_as_internal_15()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_16() { static TestModel model = { .main = { .operands = {{ // input015 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input115 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param15 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output015 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 240, 238, 238, 236, 236, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 16, 14, 14, 12, 12, 10}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_16 = TestModelManager::get().add("sub_quantized_different_scales_16", get_test_model_16()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_16() { static TestModel model = { .main = { .operands = {{ // input015 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input115 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param15 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output015 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 240, 238, 238, 236, 236, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 16, 14, 14, 12, 12, 10}) }, { // input015_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder30 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param94 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input115_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder31 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param95 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_16 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_16", get_test_model_all_inputs_as_internal_16()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_17() { static TestModel model = { .main = { .operands = {{ // input016 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input116 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param16 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output016 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 249, 248, 247, 246, 245, 244, 0, 0, 0, 0, 0, 0, 250, 249, 248, 247, 246, 245, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_17 = TestModelManager::get().add("sub_quantized_different_scales_17", get_test_model_17()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_17() { static TestModel model = { .main = { .operands = {{ // input016 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input116 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param16 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output016 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 249, 248, 247, 246, 245, 244, 0, 0, 0, 0, 0, 0, 250, 249, 248, 247, 246, 245, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0}) }, { // input016_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder32 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param96 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input116_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder33 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param97 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_17 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_17", get_test_model_all_inputs_as_internal_17()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_18() { static TestModel model = { .main = { .operands = {{ // input017 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input117 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param17 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output017 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 250, 249, 248, 247, 246, 245, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_18 = TestModelManager::get().add("sub_quantized_different_scales_18", get_test_model_18()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_18() { static TestModel model = { .main = { .operands = {{ // input017 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input117 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param17 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output017 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 250, 249, 248, 247, 246, 245, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0}) }, { // input017_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder34 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param98 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input117_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder35 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param99 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_18 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_18", get_test_model_all_inputs_as_internal_18()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_19() { static TestModel model = { .main = { .operands = {{ // input018 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input118 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param18 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output018 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 20, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 120, 20, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_19 = TestModelManager::get().add("sub_quantized_different_scales_19", get_test_model_19()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_19() { static TestModel model = { .main = { .operands = {{ // input018 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input118 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param18 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output018 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 20, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 120, 20, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20}) }, { // input018_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder36 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param100 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input118_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder37 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param101 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_19 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_19", get_test_model_all_inputs_as_internal_19()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_20() { static TestModel model = { .main = { .operands = {{ // input019 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input119 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param19 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output019 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 145, 145, 145, 145, 144, 144, 120, 120, 120, 120, 120, 119, 145, 145, 145, 145, 145, 144, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_20 = TestModelManager::get().add("sub_quantized_different_scales_20", get_test_model_20()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_20() { static TestModel model = { .main = { .operands = {{ // input019 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input119 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param19 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output019 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 145, 145, 145, 145, 144, 144, 120, 120, 120, 120, 120, 119, 145, 145, 145, 145, 145, 144, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120}) }, { // input019_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder38 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param102 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input119_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder39 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param103 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_20 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_20", get_test_model_all_inputs_as_internal_20()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_21() { static TestModel model = { .main = { .operands = {{ // input020 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input120 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param20 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output020 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 250, 249, 248, 247, 246, 245, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_21 = TestModelManager::get().add("sub_quantized_different_scales_21", get_test_model_21()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_21() { static TestModel model = { .main = { .operands = {{ // input020 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input120 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param20 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output020 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 250, 249, 248, 247, 246, 245, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0}) }, { // input020_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder40 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param104 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input120_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder41 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param105 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_21 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_21", get_test_model_all_inputs_as_internal_21()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_22() { static TestModel model = { .main = { .operands = {{ // input021 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input121 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param21 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output021 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 6, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0, 255, 255, 254, 253, 252, 251, 6, 5, 4, 3, 2, 1}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_22 = TestModelManager::get().add("sub_quantized_different_scales_22", get_test_model_22()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_22() { static TestModel model = { .main = { .operands = {{ // input021 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input121 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param21 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output021 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 6, 5, 4, 3, 2, 1, 0, 0, 0, 0, 0, 0, 251, 250, 249, 248, 247, 246, 1, 0, 0, 0, 0, 0, 252, 251, 250, 249, 248, 247, 2, 1, 0, 0, 0, 0, 253, 252, 251, 250, 249, 248, 3, 2, 1, 0, 0, 0, 254, 253, 252, 251, 250, 249, 4, 3, 2, 1, 0, 0, 255, 254, 253, 252, 251, 250, 5, 4, 3, 2, 1, 0, 255, 255, 254, 253, 252, 251, 6, 5, 4, 3, 2, 1}) }, { // input021_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder42 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param106 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input121_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder43 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param107 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_22 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_22", get_test_model_all_inputs_as_internal_22()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_23() { static TestModel model = { .main = { .operands = {{ // input022 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input122 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param22 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output022 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 220, 120, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 120, 20, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_23 = TestModelManager::get().add("sub_quantized_different_scales_23", get_test_model_23()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_23() { static TestModel model = { .main = { .operands = {{ // input022 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input122 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param22 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output022 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 220, 120, 20, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 220, 120, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 120, 20, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120, 20, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 220, 120}) }, { // input022_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder44 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param108 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input122_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder45 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param109 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_23 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_23", get_test_model_all_inputs_as_internal_23()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_24() { static TestModel model = { .main = { .operands = {{ // input023 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input123 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param23 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output023 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 96, 95, 95, 95, 95, 95, 145, 145, 145, 145, 145, 144, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 146, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_24 = TestModelManager::get().add("sub_quantized_different_scales_24", get_test_model_24()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_24() { static TestModel model = { .main = { .operands = {{ // input023 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input123 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param23 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output023 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 96, 95, 95, 95, 95, 95, 145, 145, 145, 145, 145, 144, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120, 146, 145, 145, 145, 145, 145, 120, 120, 120, 120, 120, 120}) }, { // input023_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder46 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param110 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input123_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder47 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param111 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_24 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_24", get_test_model_all_inputs_as_internal_24()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_25() { static TestModel model = { .main = { .operands = {{ // input024 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input124 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param24 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output024 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 3, 3, 3, 3, 3, 3, 250, 250, 250, 250, 250, 250, 248, 248, 248, 248, 248, 248, 251, 251, 251, 251, 251, 251, 249, 249, 249, 249, 249, 249, 252, 252, 252, 252, 252, 252, 250, 250, 250, 250, 250, 250, 253, 253, 253, 253, 253, 253, 251, 251, 251, 251, 251, 251, 254, 254, 254, 254, 254, 254, 252, 252, 252, 252, 252, 252, 255, 255, 255, 255, 255, 255, 253, 253, 253, 253, 253, 253}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_25 = TestModelManager::get().add("sub_quantized_different_scales_25", get_test_model_25()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_25() { static TestModel model = { .main = { .operands = {{ // input024 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input124 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param24 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output024 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 3, 3, 3, 3, 3, 3, 250, 250, 250, 250, 250, 250, 248, 248, 248, 248, 248, 248, 251, 251, 251, 251, 251, 251, 249, 249, 249, 249, 249, 249, 252, 252, 252, 252, 252, 252, 250, 250, 250, 250, 250, 250, 253, 253, 253, 253, 253, 253, 251, 251, 251, 251, 251, 251, 254, 254, 254, 254, 254, 254, 252, 252, 252, 252, 252, 252, 255, 255, 255, 255, 255, 255, 253, 253, 253, 253, 253, 253}) }, { // input024_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder48 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param112 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input124_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder49 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param113 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_25 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_25", get_test_model_all_inputs_as_internal_25()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_26() { static TestModel model = { .main = { .operands = {{ // input025 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input125 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param25 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output025 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 4, 4, 4, 4, 4, 4, 251, 251, 251, 251, 251, 251, 249, 249, 249, 249, 249, 249, 252, 252, 252, 252, 252, 252, 250, 250, 250, 250, 250, 250, 253, 253, 253, 253, 253, 253, 251, 251, 251, 251, 251, 251, 254, 254, 254, 254, 254, 254, 252, 252, 252, 252, 252, 252, 255, 255, 255, 255, 255, 255, 253, 253, 253, 253, 253, 253, 255, 255, 255, 255, 255, 255, 254, 254, 254, 254, 254, 254}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_26 = TestModelManager::get().add("sub_quantized_different_scales_26", get_test_model_26()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_26() { static TestModel model = { .main = { .operands = {{ // input025 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input125 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param25 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output025 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 4, 2, 2, 2, 2, 2, 2, 5, 5, 5, 5, 5, 5, 3, 3, 3, 3, 3, 3, 6, 6, 6, 6, 6, 6, 4, 4, 4, 4, 4, 4, 251, 251, 251, 251, 251, 251, 249, 249, 249, 249, 249, 249, 252, 252, 252, 252, 252, 252, 250, 250, 250, 250, 250, 250, 253, 253, 253, 253, 253, 253, 251, 251, 251, 251, 251, 251, 254, 254, 254, 254, 254, 254, 252, 252, 252, 252, 252, 252, 255, 255, 255, 255, 255, 255, 253, 253, 253, 253, 253, 253, 255, 255, 255, 255, 255, 255, 254, 254, 254, 254, 254, 254}) }, { // input025_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder50 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param114 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input125_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder51 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param115 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_26 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_26", get_test_model_all_inputs_as_internal_26()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_27() { static TestModel model = { .main = { .operands = {{ // input026 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input126 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param26 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output026 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({140, 139, 138, 137, 136, 135, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 90, 89, 88, 87, 86, 85, 255, 255, 255, 255, 255, 255, 190, 189, 188, 187, 186, 185, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_27 = TestModelManager::get().add("sub_quantized_different_scales_27", get_test_model_27()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_27() { static TestModel model = { .main = { .operands = {{ // input026 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input126 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param26 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output026 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({140, 139, 138, 137, 136, 135, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 90, 89, 88, 87, 86, 85, 255, 255, 255, 255, 255, 255, 190, 189, 188, 187, 186, 185, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input026_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder52 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param116 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input126_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder53 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param117 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_27 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_27", get_test_model_all_inputs_as_internal_27()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_28() { static TestModel model = { .main = { .operands = {{ // input027 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input127 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param27 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output027 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 121, 121, 121, 121, 121, 121, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 146, 146, 146, 146, 146, 146, 145, 145, 145, 145, 145, 145}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_28 = TestModelManager::get().add("sub_quantized_different_scales_28", get_test_model_28()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_28() { static TestModel model = { .main = { .operands = {{ // input027 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input127 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param27 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output027 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 121, 121, 121, 121, 121, 121, 120, 120, 120, 120, 120, 120, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 145, 146, 146, 146, 146, 146, 146, 145, 145, 145, 145, 145, 145}) }, { // input027_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder54 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param118 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input127_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder55 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param119 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_28 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_28", get_test_model_all_inputs_as_internal_28()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_29() { static TestModel model = { .main = { .operands = {{ // input028 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input128 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param28 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output028 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_29 = TestModelManager::get().add("sub_quantized_different_scales_29", get_test_model_29()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_29() { static TestModel model = { .main = { .operands = {{ // input028 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input128 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param28 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output028 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }, { // input028_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder56 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param120 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input128_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder57 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param121 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_29 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_29", get_test_model_all_inputs_as_internal_29()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_30() { static TestModel model = { .main = { .operands = {{ // input029 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input129 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param29 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output029 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_30 = TestModelManager::get().add("sub_quantized_different_scales_30", get_test_model_30()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_30() { static TestModel model = { .main = { .operands = {{ // input029 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input129 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param29 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output029 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }, { // input029_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder58 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param122 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input129_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder59 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param123 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_30 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_30", get_test_model_all_inputs_as_internal_30()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_31() { static TestModel model = { .main = { .operands = {{ // input030 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input130 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param30 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output030 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_31 = TestModelManager::get().add("sub_quantized_different_scales_31", get_test_model_31()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_31() { static TestModel model = { .main = { .operands = {{ // input030 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input130 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param30 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output030 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }, { // input030_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder60 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param124 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input130_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder61 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param125 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_31 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_31", get_test_model_all_inputs_as_internal_31()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_32() { static TestModel model = { .main = { .operands = {{ // input031 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input131 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param31 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output031 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_32 = TestModelManager::get().add("sub_quantized_different_scales_32", get_test_model_32()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_32() { static TestModel model = { .main = { .operands = {{ // input031 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input131 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param31 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output031 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10, 255, 255, 255, 255, 255, 255, 15, 14, 13, 12, 11, 10}) }, { // input031_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder62 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param126 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input131_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder63 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param127 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_32 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_32", get_test_model_all_inputs_as_internal_32()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_33() { static TestModel model = { .main = { .operands = {{ // input032 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input132 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param32 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output032 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_33 = TestModelManager::get().add("sub_quantized_different_scales_33", get_test_model_33()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_33() { static TestModel model = { .main = { .operands = {{ // input032 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input132 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param32 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output032 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }, { // input032_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder64 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param128 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input132_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder65 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param129 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_33 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_33", get_test_model_all_inputs_as_internal_33()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_34() { static TestModel model = { .main = { .operands = {{ // input033 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input133 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param33 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output033 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_34 = TestModelManager::get().add("sub_quantized_different_scales_34", get_test_model_34()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_34() { static TestModel model = { .main = { .operands = {{ // input033 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input133 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param33 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output033 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }, { // input033_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder66 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param130 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input133_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder67 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param131 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_34 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_34", get_test_model_all_inputs_as_internal_34()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_35() { static TestModel model = { .main = { .operands = {{ // input034 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input134 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param34 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output034 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 250, 150, 50, 0, 0, 0, 0, 0, 0, 0, 0, 0, 251, 151, 51, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 152, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 253, 153, 53, 0, 0, 0, 0, 0, 0, 0, 0, 0, 254, 154, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 155, 55, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_35 = TestModelManager::get().add("sub_quantized_different_scales_35", get_test_model_35()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_35() { static TestModel model = { .main = { .operands = {{ // input034 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input134 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param34 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output034 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 250, 150, 50, 0, 0, 0, 0, 0, 0, 0, 0, 0, 251, 151, 51, 0, 0, 0, 0, 0, 0, 0, 0, 0, 252, 152, 52, 0, 0, 0, 0, 0, 0, 0, 0, 0, 253, 153, 53, 0, 0, 0, 0, 0, 0, 0, 0, 0, 254, 154, 54, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 155, 55, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }, { // input034_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder68 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param132 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input134_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder69 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param133 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_35 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_35", get_test_model_all_inputs_as_internal_35()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_36() { static TestModel model = { .main = { .operands = {{ // input035 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input135 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param35 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output035 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 119, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 119, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 119, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 119, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 119, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 119, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_36 = TestModelManager::get().add("sub_quantized_different_scales_36", get_test_model_36()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_36() { static TestModel model = { .main = { .operands = {{ // input035 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input135 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param35 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output035 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 119, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 119, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 119, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 119, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 119, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 119, 119, 95, 95, 95, 95, 94, 94, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95}) }, { // input035_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder70 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param134 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input135_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder71 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param135 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_36 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_36", get_test_model_all_inputs_as_internal_36()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_37() { static TestModel model = { .main = { .operands = {{ // input036 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input136 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param36 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output036 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_37 = TestModelManager::get().add("sub_quantized_different_scales_37", get_test_model_37()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_37() { static TestModel model = { .main = { .operands = {{ // input036 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input136 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param36 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output036 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }, { // input036_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder72 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param136 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input136_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder73 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param137 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_37 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_37", get_test_model_all_inputs_as_internal_37()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_38() { static TestModel model = { .main = { .operands = {{ // input037 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input137 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param37 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output037 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_38 = TestModelManager::get().add("sub_quantized_different_scales_38", get_test_model_38()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_38() { static TestModel model = { .main = { .operands = {{ // input037 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input137 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param37 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output037 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3, 2, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0}) }, { // input037_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder74 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param138 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input137_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder75 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param139 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_38 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_38", get_test_model_all_inputs_as_internal_38()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_39() { static TestModel model = { .main = { .operands = {{ // input038 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input138 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param38 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output038 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 101, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 102, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 103, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 105, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 250, 150, 50, 0, 0, 0, 0, 0, 0, 0, 0, 255, 251, 151, 51, 0, 0, 0, 0, 0, 0, 0, 0, 255, 252, 152, 52, 0, 0, 0, 0, 0, 0, 0, 0, 255, 253, 153, 53, 0, 0, 0, 0, 0, 0, 0, 0, 255, 254, 154, 54, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 155, 55, 0, 0, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_39 = TestModelManager::get().add("sub_quantized_different_scales_39", get_test_model_39()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_39() { static TestModel model = { .main = { .operands = {{ // input038 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input138 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param38 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output038 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({100, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 101, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 102, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 103, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 105, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 250, 150, 50, 0, 0, 0, 0, 0, 0, 0, 0, 255, 251, 151, 51, 0, 0, 0, 0, 0, 0, 0, 0, 255, 252, 152, 52, 0, 0, 0, 0, 0, 0, 0, 0, 255, 253, 153, 53, 0, 0, 0, 0, 0, 0, 0, 0, 255, 254, 154, 54, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 155, 55, 0, 0, 0, 0, 0, 0, 0, 0}) }, { // input038_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder76 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param140 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input138_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder77 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param141 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_39 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_39", get_test_model_all_inputs_as_internal_39()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_40() { static TestModel model = { .main = { .operands = {{ // input039 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input139 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param39 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output039 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_40 = TestModelManager::get().add("sub_quantized_different_scales_40", get_test_model_40()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_40() { static TestModel model = { .main = { .operands = {{ // input039 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input139 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param39 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output039 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 119, 95, 95, 95, 95, 95, 94, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95, 120, 120, 120, 120, 120, 120, 95, 95, 95, 95, 95, 95}) }, { // input039_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder78 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param142 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input139_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder79 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param143 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_40 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_40", get_test_model_all_inputs_as_internal_40()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_41() { static TestModel model = { .main = { .operands = {{ // input040 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input140 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param40 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output040 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 2, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_41 = TestModelManager::get().add("sub_quantized_different_scales_41", get_test_model_41()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_41() { static TestModel model = { .main = { .operands = {{ // input040 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input140 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param40 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output040 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 2, 0, 0, 0, 0, 0, 0}) }, { // input040_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder80 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param144 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input140_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder81 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param145 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_41 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_41", get_test_model_all_inputs_as_internal_41()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_42() { static TestModel model = { .main = { .operands = {{ // input041 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input141 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param41 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output041 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 3, 1, 1, 1, 1, 1, 1}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_42 = TestModelManager::get().add("sub_quantized_different_scales_42", get_test_model_42()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_42() { static TestModel model = { .main = { .operands = {{ // input041 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input141 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param41 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output041 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 3, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 3, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 3, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 3, 3, 1, 1, 1, 1, 1, 1, 4, 4, 4, 4, 4, 3, 1, 1, 1, 1, 1, 1}) }, { // input041_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder82 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param146 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input141_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder83 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param147 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_42 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_42", get_test_model_all_inputs_as_internal_42()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_43() { static TestModel model = { .main = { .operands = {{ // input042 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input142 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param42 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output042 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 119, 118, 117, 116, 115, 0, 0, 0, 0, 0, 0, 121, 120, 119, 118, 117, 116, 0, 0, 0, 0, 0, 0, 122, 121, 120, 119, 118, 117, 0, 0, 0, 0, 0, 0, 123, 122, 121, 120, 119, 118, 0, 0, 0, 0, 0, 0, 124, 123, 122, 121, 120, 119, 0, 0, 0, 0, 0, 0, 125, 124, 123, 122, 121, 120, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 120, 119, 118, 117, 116, 115, 255, 255, 255, 255, 255, 255, 121, 120, 119, 118, 117, 116, 255, 255, 255, 255, 255, 255, 122, 121, 120, 119, 118, 117, 255, 255, 255, 255, 255, 255, 123, 122, 121, 120, 119, 118, 255, 255, 255, 255, 255, 255, 124, 123, 122, 121, 120, 119, 255, 255, 255, 255, 255, 255, 125, 124, 123, 122, 121, 120}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_43 = TestModelManager::get().add("sub_quantized_different_scales_43", get_test_model_43()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_43() { static TestModel model = { .main = { .operands = {{ // input042 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input142 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param42 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output042 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 119, 118, 117, 116, 115, 0, 0, 0, 0, 0, 0, 121, 120, 119, 118, 117, 116, 0, 0, 0, 0, 0, 0, 122, 121, 120, 119, 118, 117, 0, 0, 0, 0, 0, 0, 123, 122, 121, 120, 119, 118, 0, 0, 0, 0, 0, 0, 124, 123, 122, 121, 120, 119, 0, 0, 0, 0, 0, 0, 125, 124, 123, 122, 121, 120, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 120, 119, 118, 117, 116, 115, 255, 255, 255, 255, 255, 255, 121, 120, 119, 118, 117, 116, 255, 255, 255, 255, 255, 255, 122, 121, 120, 119, 118, 117, 255, 255, 255, 255, 255, 255, 123, 122, 121, 120, 119, 118, 255, 255, 255, 255, 255, 255, 124, 123, 122, 121, 120, 119, 255, 255, 255, 255, 255, 255, 125, 124, 123, 122, 121, 120}) }, { // input042_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder84 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param148 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input142_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder85 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param149 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_43 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_43", get_test_model_all_inputs_as_internal_43()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_44() { static TestModel model = { .main = { .operands = {{ // input043 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input143 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param43 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output043 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_44 = TestModelManager::get().add("sub_quantized_different_scales_44", get_test_model_44()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_44() { static TestModel model = { .main = { .operands = {{ // input043 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input143 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param43 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output043 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120, 120}) }, { // input043_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder86 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param150 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input143_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder87 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param151 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_44 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_44", get_test_model_all_inputs_as_internal_44()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_45() { static TestModel model = { .main = { .operands = {{ // input044 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input144 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param44 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output044 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_45 = TestModelManager::get().add("sub_quantized_different_scales_45", get_test_model_45()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_45() { static TestModel model = { .main = { .operands = {{ // input044 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input144 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param44 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output044 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }, { // input044_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder88 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param152 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input144_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder89 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param153 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_45 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_45", get_test_model_all_inputs_as_internal_45()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_46() { static TestModel model = { .main = { .operands = {{ // input045 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input145 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param45 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output045 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_46 = TestModelManager::get().add("sub_quantized_different_scales_46", get_test_model_46()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_46() { static TestModel model = { .main = { .operands = {{ // input045 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input145 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param45 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output045 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }, { // input045_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder90 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param154 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input145_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder91 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param155 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_46 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_46", get_test_model_all_inputs_as_internal_46()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_47() { static TestModel model = { .main = { .operands = {{ // input046 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input146 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param46 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output046 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_47 = TestModelManager::get().add("sub_quantized_different_scales_47", get_test_model_47()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_47() { static TestModel model = { .main = { .operands = {{ // input046 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input146 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param46 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output046 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0}) }, { // input046_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder92 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param156 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input146_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder93 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param157 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_47 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_47", get_test_model_all_inputs_as_internal_47()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_48() { static TestModel model = { .main = { .operands = {{ // input047 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input147 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param47 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output047 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_48 = TestModelManager::get().add("sub_quantized_different_scales_48", get_test_model_48()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_48() { static TestModel model = { .main = { .operands = {{ // input047 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input147 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param47 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output047 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0, 240, 239, 238, 237, 236, 235, 0, 0, 0, 0, 0, 0}) }, { // input047_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder94 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param158 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input147_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder95 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param159 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_48 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_48", get_test_model_all_inputs_as_internal_48()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_49() { static TestModel model = { .main = { .operands = {{ // input048 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input148 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param48 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output048 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_49 = TestModelManager::get().add("sub_quantized_different_scales_49", get_test_model_49()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_49() { static TestModel model = { .main = { .operands = {{ // input048 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input148 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param48 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output048 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input048_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder96 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param160 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input148_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder97 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param161 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_49 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_49", get_test_model_all_inputs_as_internal_49()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_50() { static TestModel model = { .main = { .operands = {{ // input049 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input149 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param49 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output049 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_50 = TestModelManager::get().add("sub_quantized_different_scales_50", get_test_model_50()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_50() { static TestModel model = { .main = { .operands = {{ // input049 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input149 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param49 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output049 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input049_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder98 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param162 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input149_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder99 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param163 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_50 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_50", get_test_model_all_inputs_as_internal_50()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_51() { static TestModel model = { .main = { .operands = {{ // input050 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input150 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param50 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output050 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_51 = TestModelManager::get().add("sub_quantized_different_scales_51", get_test_model_51()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_51() { static TestModel model = { .main = { .operands = {{ // input050 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input150 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param50 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output050 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input050_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder100 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param164 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input150_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder101 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param165 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_51 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_51", get_test_model_all_inputs_as_internal_51()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_52() { static TestModel model = { .main = { .operands = {{ // input051 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input151 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param51 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output051 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 2, 0, 0, 0, 0, 0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 4, 0, 0, 0, 0, 0, 0, 250, 250, 250, 250, 250, 250, 225, 225, 225, 225, 225, 224, 251, 251, 251, 251, 251, 250, 226, 226, 226, 226, 226, 226, 252, 252, 252, 252, 252, 252, 227, 227, 227, 227, 227, 226, 253, 253, 253, 253, 253, 252, 228, 228, 228, 228, 228, 228, 254, 254, 254, 254, 254, 254, 229, 229, 229, 229, 229, 228, 255, 255, 255, 255, 255, 254, 230, 230, 230, 230, 230, 230}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_52 = TestModelManager::get().add("sub_quantized_different_scales_52", get_test_model_52()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_52() { static TestModel model = { .main = { .operands = {{ // input051 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input151 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param51 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output051 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 2, 0, 0, 0, 0, 0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 4, 0, 0, 0, 0, 0, 0, 250, 250, 250, 250, 250, 250, 225, 225, 225, 225, 225, 224, 251, 251, 251, 251, 251, 250, 226, 226, 226, 226, 226, 226, 252, 252, 252, 252, 252, 252, 227, 227, 227, 227, 227, 226, 253, 253, 253, 253, 253, 252, 228, 228, 228, 228, 228, 228, 254, 254, 254, 254, 254, 254, 229, 229, 229, 229, 229, 228, 255, 255, 255, 255, 255, 254, 230, 230, 230, 230, 230, 230}) }, { // input051_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder102 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param166 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input151_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder103 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // param167 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_52 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_52", get_test_model_all_inputs_as_internal_52()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_53() { static TestModel model = { .main = { .operands = {{ // input052 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input152 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param52 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output052 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_53 = TestModelManager::get().add("sub_quantized_different_scales_53", get_test_model_53()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_53() { static TestModel model = { .main = { .operands = {{ // input052 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input152 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param52 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output052 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input052_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder104 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param168 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input152_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder105 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param169 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_53 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_53", get_test_model_all_inputs_as_internal_53()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_54() { static TestModel model = { .main = { .operands = {{ // input053 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input153 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param53 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output053 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_54 = TestModelManager::get().add("sub_quantized_different_scales_54", get_test_model_54()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_54() { static TestModel model = { .main = { .operands = {{ // input053 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input153 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param53 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output053 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input053_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder106 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param170 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input153_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder107 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param171 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_54 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_54", get_test_model_all_inputs_as_internal_54()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_55() { static TestModel model = { .main = { .operands = {{ // input054 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input154 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param54 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output054 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_55 = TestModelManager::get().add("sub_quantized_different_scales_55", get_test_model_55()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_55() { static TestModel model = { .main = { .operands = {{ // input054 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input154 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param54 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output054 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input054_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder108 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param172 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input154_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder109 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param173 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_55 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_55", get_test_model_all_inputs_as_internal_55()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_56() { static TestModel model = { .main = { .operands = {{ // input055 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input155 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param55 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output055 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 5, 0, 0, 0, 0, 0, 0, 250, 250, 250, 250, 250, 250, 225, 225, 225, 225, 225, 225, 251, 251, 251, 251, 251, 251, 226, 226, 226, 226, 226, 226, 252, 252, 252, 252, 252, 252, 227, 227, 227, 227, 227, 227, 253, 253, 253, 253, 253, 253, 228, 228, 228, 228, 228, 228, 254, 254, 254, 254, 254, 254, 229, 229, 229, 229, 229, 229, 255, 255, 255, 255, 255, 255, 230, 230, 230, 230, 230, 230}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_56 = TestModelManager::get().add("sub_quantized_different_scales_56", get_test_model_56()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_56() { static TestModel model = { .main = { .operands = {{ // input055 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input155 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param55 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output055 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 0, 0, 0, 0, 3, 3, 3, 3, 3, 3, 0, 0, 0, 0, 0, 0, 4, 4, 4, 4, 4, 4, 0, 0, 0, 0, 0, 0, 5, 5, 5, 5, 5, 5, 0, 0, 0, 0, 0, 0, 250, 250, 250, 250, 250, 250, 225, 225, 225, 225, 225, 225, 251, 251, 251, 251, 251, 251, 226, 226, 226, 226, 226, 226, 252, 252, 252, 252, 252, 252, 227, 227, 227, 227, 227, 227, 253, 253, 253, 253, 253, 253, 228, 228, 228, 228, 228, 228, 254, 254, 254, 254, 254, 254, 229, 229, 229, 229, 229, 229, 255, 255, 255, 255, 255, 255, 230, 230, 230, 230, 230, 230}) }, { // input055_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder110 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param174 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input155_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder111 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1}) }, { // param175 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_56 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_56", get_test_model_all_inputs_as_internal_56()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_57() { static TestModel model = { .main = { .operands = {{ // input056 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input156 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param56 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output056 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_57 = TestModelManager::get().add("sub_quantized_different_scales_57", get_test_model_57()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_57() { static TestModel model = { .main = { .operands = {{ // input056 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input156 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param56 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output056 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input056_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder112 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param176 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input156_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder113 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param177 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_57 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_57", get_test_model_all_inputs_as_internal_57()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_58() { static TestModel model = { .main = { .operands = {{ // input057 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input157 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param57 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output057 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_58 = TestModelManager::get().add("sub_quantized_different_scales_58", get_test_model_58()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_58() { static TestModel model = { .main = { .operands = {{ // input057 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input157 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param57 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output057 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input057_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder114 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param178 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input157_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder115 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param179 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_58 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_58", get_test_model_all_inputs_as_internal_58()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_59() { static TestModel model = { .main = { .operands = {{ // input058 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input158 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param58 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output058 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_59 = TestModelManager::get().add("sub_quantized_different_scales_59", get_test_model_59()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_59() { static TestModel model = { .main = { .operands = {{ // input058 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input158 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param58 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output058 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input058_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder116 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param180 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input158_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder117 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param181 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_59 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_59", get_test_model_all_inputs_as_internal_59()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_60() { static TestModel model = { .main = { .operands = {{ // input059 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input159 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param59 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output059 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_60 = TestModelManager::get().add("sub_quantized_different_scales_60", get_test_model_60()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_60() { static TestModel model = { .main = { .operands = {{ // input059 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input159 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param59 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output059 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input059_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder118 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param182 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input159_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder119 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param183 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_60 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_60", get_test_model_all_inputs_as_internal_60()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_61() { static TestModel model = { .main = { .operands = {{ // input060 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input160 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param60 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output060 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 20, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 30, 20, 10, 0, 0, 0, 0, 0, 0, 0, 0, 50, 40, 30, 20, 10, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 10, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 20, 10, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 30, 20, 10, 0, 0, 0, 255, 255, 255, 255, 255, 255, 40, 30, 20, 10, 0, 0, 255, 255, 255, 255, 255, 255, 50, 40, 30, 20, 10, 0}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_61 = TestModelManager::get().add("sub_quantized_different_scales_61", get_test_model_61()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_61() { static TestModel model = { .main = { .operands = {{ // input060 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input160 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param60 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output060 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30, 20, 10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 40, 30, 20, 10, 0, 0, 0, 0, 0, 0, 0, 0, 50, 40, 30, 20, 10, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 10, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 20, 10, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 30, 20, 10, 0, 0, 0, 255, 255, 255, 255, 255, 255, 40, 30, 20, 10, 0, 0, 255, 255, 255, 255, 255, 255, 50, 40, 30, 20, 10, 0}) }, { // input060_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder120 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param184 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input160_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder121 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param185 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_61 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_61", get_test_model_all_inputs_as_internal_61()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_62() { static TestModel model = { .main = { .operands = {{ // input061 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input161 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param61 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output061 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21, 11, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31, 21, 11, 1, 0, 0, 0, 0, 0, 0, 0, 0, 41, 31, 21, 11, 1, 0, 0, 0, 0, 0, 0, 0, 51, 41, 31, 21, 11, 1, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 1, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 11, 1, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 21, 11, 1, 0, 0, 0, 255, 255, 255, 255, 255, 255, 31, 21, 11, 1, 0, 0, 255, 255, 255, 255, 255, 255, 41, 31, 21, 11, 1, 0, 255, 255, 255, 255, 255, 255, 51, 41, 31, 21, 11, 1}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_62 = TestModelManager::get().add("sub_quantized_different_scales_62", get_test_model_62()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_62() { static TestModel model = { .main = { .operands = {{ // input061 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input161 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param61 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output061 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 1.0f, .zeroPoint = 1, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 11, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21, 11, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31, 21, 11, 1, 0, 0, 0, 0, 0, 0, 0, 0, 41, 31, 21, 11, 1, 0, 0, 0, 0, 0, 0, 0, 51, 41, 31, 21, 11, 1, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 1, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 11, 1, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 21, 11, 1, 0, 0, 0, 255, 255, 255, 255, 255, 255, 31, 21, 11, 1, 0, 0, 255, 255, 255, 255, 255, 255, 41, 31, 21, 11, 1, 0, 255, 255, 255, 255, 255, 255, 51, 41, 31, 21, 11, 1}) }, { // input061_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder122 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param186 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input161_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder123 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param187 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_62 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_62", get_test_model_all_inputs_as_internal_62()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_63() { static TestModel model = { .main = { .operands = {{ // input062 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input162 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param62 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output062 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 120, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 120, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 120, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 120, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 120, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 120, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 120, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 120, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 120}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_63 = TestModelManager::get().add("sub_quantized_different_scales_63", get_test_model_63()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_63() { static TestModel model = { .main = { .operands = {{ // input062 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input162 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param62 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output062 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 0.01f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 120, 0, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 120, 0, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 120, 0, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 120, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 120, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 120, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 120, 0, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 120, 0, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 120, 0, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 120}) }, { // input062_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder124 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param188 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input162_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder125 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param189 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_63 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_63", get_test_model_all_inputs_as_internal_63()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_64() { static TestModel model = { .main = { .operands = {{ // input063 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // input163 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // param63 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output063 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 119, 118, 117, 116, 115, 0, 0, 0, 0, 0, 0, 121, 120, 119, 118, 117, 116, 0, 0, 0, 0, 0, 0, 122, 121, 120, 119, 118, 117, 0, 0, 0, 0, 0, 0, 123, 122, 121, 120, 119, 118, 0, 0, 0, 0, 0, 0, 124, 123, 122, 121, 120, 119, 0, 0, 0, 0, 0, 0, 125, 124, 123, 122, 121, 120, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 120, 119, 118, 117, 116, 115, 255, 255, 255, 255, 255, 255, 121, 120, 119, 118, 117, 116, 255, 255, 255, 255, 255, 255, 122, 121, 120, 119, 118, 117, 255, 255, 255, 255, 255, 255, 123, 122, 121, 120, 119, 118, 255, 255, 255, 255, 255, 255, 124, 123, 122, 121, 120, 119, 255, 255, 255, 255, 255, 255, 125, 124, 123, 122, 121, 120}) }}, .operations = {{ .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {0, 1}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_64 = TestModelManager::get().add("sub_quantized_different_scales_64", get_test_model_64()); } // namespace generated_tests::sub_quantized_different_scales namespace generated_tests::sub_quantized_different_scales { const TestModel& get_test_model_all_inputs_as_internal_64() { static TestModel model = { .main = { .operands = {{ // input063 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input163 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // param63 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output063 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 0, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120, 119, 118, 117, 116, 115, 0, 0, 0, 0, 0, 0, 121, 120, 119, 118, 117, 116, 0, 0, 0, 0, 0, 0, 122, 121, 120, 119, 118, 117, 0, 0, 0, 0, 0, 0, 123, 122, 121, 120, 119, 118, 0, 0, 0, 0, 0, 0, 124, 123, 122, 121, 120, 119, 0, 0, 0, 0, 0, 0, 125, 124, 123, 122, 121, 120, 0, 0, 0, 0, 0, 0, 255, 255, 255, 255, 255, 255, 120, 119, 118, 117, 116, 115, 255, 255, 255, 255, 255, 255, 121, 120, 119, 118, 117, 116, 255, 255, 255, 255, 255, 255, 122, 121, 120, 119, 118, 117, 255, 255, 255, 255, 255, 255, 123, 122, 121, 120, 119, 118, 255, 255, 255, 255, 255, 255, 124, 123, 122, 121, 120, 119, 255, 255, 255, 255, 255, 255, 125, 124, 123, 122, 121, 120}) }, { // input063_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 250, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 251, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 252, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 253, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 254, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255, 255}) }, { // placeholder126 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param190 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input163_new .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {144}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255, 0, 1, 2, 3, 4, 5, 250, 251, 252, 253, 254, 255}) }, { // placeholder127 .type = TestOperandType::TENSOR_QUANT8_ASYMM, .dimensions = {1}, .numberOfConsumers = 1, .scale = 10.0f, .zeroPoint = 120, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({120}) }, { // param191 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }}, .operations = {{ .type = TestOperationType::ADD, .inputs = {4, 5, 6}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {7, 8, 9}, .outputs = {1} }, { .type = TestOperationType::SUB, .inputs = {0, 1, 2}, .outputs = {3} }}, .inputIndexes = {4, 7}, .outputIndexes = {3} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_all_inputs_as_internal_64 = TestModelManager::get().add("sub_quantized_different_scales_all_inputs_as_internal_64", get_test_model_all_inputs_as_internal_64()); } // namespace generated_tests::sub_quantized_different_scales