// Generated from layer_norm_lstm.mod.py // DO NOT EDIT // clang-format off #include "TestHarness.h" using namespace test_helper; // NOLINT(google-build-using-namespace) namespace generated_tests::layer_norm_lstm { const TestModel& get_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm() { static TestModel model = { .main = { .operands = {{ // input .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.8f, 0.1f, 0.2f, 0.3f, 0.3f, 0.2f, 0.9f, 0.8f, 0.1f}) }, { // input_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.5f, 0.6f, 0.7f, -0.8f, -0.9f, 0.1f, 0.2f, 0.3f, -0.4f, 0.5f, -0.8f, 0.7f, -0.6f, 0.5f, -0.4f, -0.5f, -0.4f, -0.3f, -0.2f, -0.1f}) }, { // input_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.6f, -0.1f, 0.3f, 0.2f, 0.9f, -0.5f, -0.2f, -0.4f, 0.3f, -0.8f, -0.4f, 0.3f, -0.5f, -0.4f, -0.6f, 0.3f, -0.4f, -0.6f, -0.5f, -0.5f}) }, { // input_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.4f, -0.3f, -0.2f, -0.1f, -0.5f, 0.5f, -0.2f, -0.3f, -0.2f, -0.6f, 0.6f, -0.1f, -0.4f, -0.3f, -0.7f, 0.7f, -0.9f, -0.5f, 0.8f, 0.6f}) }, { // input_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.8f, -0.4f, -0.2f, -0.9f, -0.1f, -0.7f, 0.3f, -0.3f, -0.8f, -0.2f, 0.6f, -0.2f, 0.4f, -0.7f, -0.3f, -0.5f, 0.1f, 0.5f, -0.6f, -0.4f}) }, { // recurrent_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.2f, -0.3f, 0.4f, 0.1f, -0.5f, 0.9f, -0.2f, -0.3f, -0.7f, 0.05f, -0.2f, -0.6f}) }, { // recurrent_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5f, -0.3f, -0.5f, -0.2f, 0.6f, 0.4f, 0.9f, 0.3f, -0.1f, 0.2f, 0.5f, 0.2f}) }, { // recurrent_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3f, 0.2f, 0.1f, -0.3f, 0.8f, -0.08f, -0.2f, 0.3f, 0.8f, -0.6f, -0.1f, 0.2f}) }, { // recurrent_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.3f, -0.1f, 0.1f, -0.2f, -0.5f, -0.7f, -0.2f, -0.6f, -0.1f, -0.4f, -0.7f, -0.2f}) }, { // cell_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, 0.1f, 0.25f, 0.15f}) }, { // cell_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.02f, -0.15f, -0.25f, -0.03f}) }, { // cell_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.1f, -0.5f, 0.05f}) }, { // input_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.03f, 0.15f, 0.22f, 0.38f}) }, { // forget_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.3f, -0.2f, 0.1f}) }, { // cell_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.05f, 0.72f, 0.25f, 0.08f}) }, { // output_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, -0.01f, 0.2f, 0.1f}) }, { // projection_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.1f, 0.2f, 0.01f, -0.2f, 0.1f, 0.5f, 0.3f, 0.08f, 0.07f, 0.2f, -0.4f, 0.2f}) }, { // projection_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // cell_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // activation_param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // input_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, 0.2f, 0.3f, 0.5f}) }, { // forget_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.2f, 0.4f, 0.3f}) }, { // cell_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.2f, 0.3f, 0.8f}) }, { // output_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.6f, 0.2f, 0.2f, 0.5f}) }, { // scratch_buffer .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 16}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.024407668039203f, 0.128027379512787f, -0.001709178090096f, -0.006924282759428f, 0.08487406373024f, 0.06344497948885f}) }, { // cell_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.451771229505539f, 0.376915663480759f, 0.225425109267235f, 0.232406347990036f, -0.252585828304291f, 0.330421179533005f, 0.017305245622993f, 0.366601228713989f}) }, { // output .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.024407668039203f, 0.128027379512787f, -0.001709178090096f, -0.006924282759428f, 0.08487406373024f, 0.06344497948885f}) }}, .operations = {{ .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26}, .outputs = {27, 28, 29, 30} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 23, 24, 25, 26}, .outputIndexes = {27, 28, 29, 30} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm = TestModelManager::get().add("layer_norm_lstm_NoCifgPeepholeProjectionNoClippingLayerNormLstm", get_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm()); } // namespace generated_tests::layer_norm_lstm namespace generated_tests::layer_norm_lstm { const TestModel& get_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // input .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // activation_param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // input_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // scratch_buffer .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 16}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.024407668039203f, 0.128027379512787f, -0.001709178090096f, -0.006924282759428f, 0.08487406373024f, 0.06344497948885f}) }, { // cell_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.451771229505539f, 0.376915663480759f, 0.225425109267235f, 0.232406347990036f, -0.252585828304291f, 0.330421179533005f, 0.017305245622993f, 0.366601228713989f}) }, { // output .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.024407668039203f, 0.128027379512787f, -0.001709178090096f, -0.006924282759428f, 0.08487406373024f, 0.06344497948885f}) }, { // input_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.8f, 0.1f, 0.2f, 0.3f, 0.3f, 0.2f, 0.9f, 0.8f, 0.1f}) }, { // placeholder .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_input_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.5f, 0.6f, 0.7f, -0.8f, -0.9f, 0.1f, 0.2f, 0.3f, -0.4f, 0.5f, -0.8f, 0.7f, -0.6f, 0.5f, -0.4f, -0.5f, -0.4f, -0.3f, -0.2f, -0.1f}) }, { // placeholder1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_forget_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.6f, -0.1f, 0.3f, 0.2f, 0.9f, -0.5f, -0.2f, -0.4f, 0.3f, -0.8f, -0.4f, 0.3f, -0.5f, -0.4f, -0.6f, 0.3f, -0.4f, -0.6f, -0.5f, -0.5f}) }, { // placeholder2 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param2 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_cell_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.4f, -0.3f, -0.2f, -0.1f, -0.5f, 0.5f, -0.2f, -0.3f, -0.2f, -0.6f, 0.6f, -0.1f, -0.4f, -0.3f, -0.7f, 0.7f, -0.9f, -0.5f, 0.8f, 0.6f}) }, { // placeholder3 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param3 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_output_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.8f, -0.4f, -0.2f, -0.9f, -0.1f, -0.7f, 0.3f, -0.3f, -0.8f, -0.2f, 0.6f, -0.2f, 0.4f, -0.7f, -0.3f, -0.5f, 0.1f, 0.5f, -0.6f, -0.4f}) }, { // placeholder4 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param4 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_input_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.2f, -0.3f, 0.4f, 0.1f, -0.5f, 0.9f, -0.2f, -0.3f, -0.7f, 0.05f, -0.2f, -0.6f}) }, { // placeholder5 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param5 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_forget_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5f, -0.3f, -0.5f, -0.2f, 0.6f, 0.4f, 0.9f, 0.3f, -0.1f, 0.2f, 0.5f, 0.2f}) }, { // placeholder6 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param6 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_cell_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3f, 0.2f, 0.1f, -0.3f, 0.8f, -0.08f, -0.2f, 0.3f, 0.8f, -0.6f, -0.1f, 0.2f}) }, { // placeholder7 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param7 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_output_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.3f, -0.1f, 0.1f, -0.2f, -0.5f, -0.7f, -0.2f, -0.6f, -0.1f, -0.4f, -0.7f, -0.2f}) }, { // placeholder8 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param8 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_input_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, 0.1f, 0.25f, 0.15f}) }, { // placeholder9 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param9 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_forget_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.02f, -0.15f, -0.25f, -0.03f}) }, { // placeholder10 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param10 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_output_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.1f, -0.5f, 0.05f}) }, { // placeholder11 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param11 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.03f, 0.15f, 0.22f, 0.38f}) }, { // placeholder12 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param12 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // forget_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.3f, -0.2f, 0.1f}) }, { // placeholder13 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param13 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.05f, 0.72f, 0.25f, 0.08f}) }, { // placeholder14 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param14 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, -0.01f, 0.2f, 0.1f}) }, { // placeholder15 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param15 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // projection_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.1f, 0.2f, 0.01f, -0.2f, 0.1f, 0.5f, 0.3f, 0.08f, 0.07f, 0.2f, -0.4f, 0.2f}) }, { // placeholder16 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param16 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_state_in_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // placeholder17 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param17 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_state_in_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // placeholder18 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param18 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_layer_norm_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, 0.2f, 0.3f, 0.5f}) }, { // placeholder19 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param19 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // forget_layer_norm_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.2f, 0.4f, 0.3f}) }, { // placeholder20 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param20 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_layer_norm_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.2f, 0.3f, 0.8f}) }, { // placeholder21 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param21 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_layer_norm_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.6f, 0.2f, 0.2f, 0.5f}) }, { // placeholder22 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param22 .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 = {31, 32, 33}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {34, 35, 36}, .outputs = {1} }, { .type = TestOperationType::ADD, .inputs = {37, 38, 39}, .outputs = {2} }, { .type = TestOperationType::ADD, .inputs = {40, 41, 42}, .outputs = {3} }, { .type = TestOperationType::ADD, .inputs = {43, 44, 45}, .outputs = {4} }, { .type = TestOperationType::ADD, .inputs = {46, 47, 48}, .outputs = {5} }, { .type = TestOperationType::ADD, .inputs = {49, 50, 51}, .outputs = {6} }, { .type = TestOperationType::ADD, .inputs = {52, 53, 54}, .outputs = {7} }, { .type = TestOperationType::ADD, .inputs = {55, 56, 57}, .outputs = {8} }, { .type = TestOperationType::ADD, .inputs = {58, 59, 60}, .outputs = {9} }, { .type = TestOperationType::ADD, .inputs = {61, 62, 63}, .outputs = {10} }, { .type = TestOperationType::ADD, .inputs = {64, 65, 66}, .outputs = {11} }, { .type = TestOperationType::ADD, .inputs = {67, 68, 69}, .outputs = {12} }, { .type = TestOperationType::ADD, .inputs = {70, 71, 72}, .outputs = {13} }, { .type = TestOperationType::ADD, .inputs = {73, 74, 75}, .outputs = {14} }, { .type = TestOperationType::ADD, .inputs = {76, 77, 78}, .outputs = {15} }, { .type = TestOperationType::ADD, .inputs = {79, 80, 81}, .outputs = {16} }, { .type = TestOperationType::ADD, .inputs = {82, 83, 84}, .outputs = {18} }, { .type = TestOperationType::ADD, .inputs = {85, 86, 87}, .outputs = {19} }, { .type = TestOperationType::ADD, .inputs = {88, 89, 90}, .outputs = {23} }, { .type = TestOperationType::ADD, .inputs = {91, 92, 93}, .outputs = {24} }, { .type = TestOperationType::ADD, .inputs = {94, 95, 96}, .outputs = {25} }, { .type = TestOperationType::ADD, .inputs = {97, 98, 99}, .outputs = {26} }, { .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26}, .outputs = {27, 28, 29, 30} }}, .inputIndexes = {17, 31, 34, 37, 40, 43, 46, 49, 52, 55, 58, 61, 64, 67, 70, 73, 76, 79, 82, 85, 88, 91, 94, 97}, .outputIndexes = {27, 28, 29, 30} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal = TestModelManager::get().add("layer_norm_lstm_NoCifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal", get_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal()); } // namespace generated_tests::layer_norm_lstm namespace generated_tests::layer_norm_lstm { const TestModel& get_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_2() { static TestModel model = { .main = { .operands = {{ // input .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.8f, 0.1f, 0.2f, 0.4f, 0.5f, 0.1f, 0.5f, 0.2f, 0.4f, 0.2f}) }, { // input_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.5f, 0.6f, 0.7f, -0.8f, -0.9f, 0.1f, 0.2f, 0.3f, -0.4f, 0.5f, -0.8f, 0.7f, -0.6f, 0.5f, -0.4f, -0.5f, -0.4f, -0.3f, -0.2f, -0.1f}) }, { // input_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.6f, -0.1f, 0.3f, 0.2f, 0.9f, -0.5f, -0.2f, -0.4f, 0.3f, -0.8f, -0.4f, 0.3f, -0.5f, -0.4f, -0.6f, 0.3f, -0.4f, -0.6f, -0.5f, -0.5f}) }, { // input_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.4f, -0.3f, -0.2f, -0.1f, -0.5f, 0.5f, -0.2f, -0.3f, -0.2f, -0.6f, 0.6f, -0.1f, -0.4f, -0.3f, -0.7f, 0.7f, -0.9f, -0.5f, 0.8f, 0.6f}) }, { // input_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.8f, -0.4f, -0.2f, -0.9f, -0.1f, -0.7f, 0.3f, -0.3f, -0.8f, -0.2f, 0.6f, -0.2f, 0.4f, -0.7f, -0.3f, -0.5f, 0.1f, 0.5f, -0.6f, -0.4f}) }, { // recurrent_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.2f, -0.3f, 0.4f, 0.1f, -0.5f, 0.9f, -0.2f, -0.3f, -0.7f, 0.05f, -0.2f, -0.6f}) }, { // recurrent_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5f, -0.3f, -0.5f, -0.2f, 0.6f, 0.4f, 0.9f, 0.3f, -0.1f, 0.2f, 0.5f, 0.2f}) }, { // recurrent_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3f, 0.2f, 0.1f, -0.3f, 0.8f, -0.08f, -0.2f, 0.3f, 0.8f, -0.6f, -0.1f, 0.2f}) }, { // recurrent_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.3f, -0.1f, 0.1f, -0.2f, -0.5f, -0.7f, -0.2f, -0.6f, -0.1f, -0.4f, -0.7f, -0.2f}) }, { // cell_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, 0.1f, 0.25f, 0.15f}) }, { // cell_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.02f, -0.15f, -0.25f, -0.03f}) }, { // cell_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.1f, -0.5f, 0.05f}) }, { // input_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.03f, 0.15f, 0.22f, 0.38f}) }, { // forget_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.3f, -0.2f, 0.1f}) }, { // cell_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.05f, 0.72f, 0.25f, 0.08f}) }, { // output_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, -0.01f, 0.2f, 0.1f}) }, { // projection_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.1f, 0.2f, 0.01f, -0.2f, 0.1f, 0.5f, 0.3f, 0.08f, 0.07f, 0.2f, -0.4f, 0.2f}) }, { // projection_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.024407668039203f, 0.128027379512787f, -0.001709178090096f, -0.006924282759428f, 0.08487406373024f, 0.06344497948885f}) }, { // cell_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.451771229505539f, 0.376915663480759f, 0.225425109267235f, 0.232406347990036f, -0.252585828304291f, 0.330421179533005f, 0.017305245622993f, 0.366601228713989f}) }, { // activation_param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // input_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, 0.2f, 0.3f, 0.5f}) }, { // forget_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.2f, 0.4f, 0.3f}) }, { // cell_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.2f, 0.3f, 0.8f}) }, { // output_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.6f, 0.2f, 0.2f, 0.5f}) }, { // scratch_buffer .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 16}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.013764165341854f, 0.140751048922539f, 0.039583537727594f, -0.004039138555527f, 0.139963015913963f, 0.072681039571762f}) }, { // cell_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.645632147789001f, 0.518238246440887f, 0.168679088354111f, 0.555787742137909f, -0.49367481470108f, 0.475847363471985f, 0.106874041259289f, 0.50430965423584f}) }, { // output .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.013764165341854f, 0.140751048922539f, 0.039583537727594f, -0.004039138555527f, 0.139963015913963f, 0.072681039571762f}) }}, .operations = {{ .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26}, .outputs = {27, 28, 29, 30} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 23, 24, 25, 26}, .outputIndexes = {27, 28, 29, 30} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_2 = TestModelManager::get().add("layer_norm_lstm_NoCifgPeepholeProjectionNoClippingLayerNormLstm_2", get_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_2()); } // namespace generated_tests::layer_norm_lstm namespace generated_tests::layer_norm_lstm { const TestModel& get_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_2() { static TestModel model = { .main = { .operands = {{ // input .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // activation_param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // input_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // scratch_buffer .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 16}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.013764165341854f, 0.140751048922539f, 0.039583537727594f, -0.004039138555527f, 0.139963015913963f, 0.072681039571762f}) }, { // cell_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.645632147789001f, 0.518238246440887f, 0.168679088354111f, 0.555787742137909f, -0.49367481470108f, 0.475847363471985f, 0.106874041259289f, 0.50430965423584f}) }, { // output .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.013764165341854f, 0.140751048922539f, 0.039583537727594f, -0.004039138555527f, 0.139963015913963f, 0.072681039571762f}) }, { // input_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.8f, 0.1f, 0.2f, 0.4f, 0.5f, 0.1f, 0.5f, 0.2f, 0.4f, 0.2f}) }, { // placeholder23 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param23 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_input_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.5f, 0.6f, 0.7f, -0.8f, -0.9f, 0.1f, 0.2f, 0.3f, -0.4f, 0.5f, -0.8f, 0.7f, -0.6f, 0.5f, -0.4f, -0.5f, -0.4f, -0.3f, -0.2f, -0.1f}) }, { // placeholder24 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param24 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_forget_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.6f, -0.1f, 0.3f, 0.2f, 0.9f, -0.5f, -0.2f, -0.4f, 0.3f, -0.8f, -0.4f, 0.3f, -0.5f, -0.4f, -0.6f, 0.3f, -0.4f, -0.6f, -0.5f, -0.5f}) }, { // placeholder25 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param25 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_cell_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.4f, -0.3f, -0.2f, -0.1f, -0.5f, 0.5f, -0.2f, -0.3f, -0.2f, -0.6f, 0.6f, -0.1f, -0.4f, -0.3f, -0.7f, 0.7f, -0.9f, -0.5f, 0.8f, 0.6f}) }, { // placeholder26 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param26 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_output_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.8f, -0.4f, -0.2f, -0.9f, -0.1f, -0.7f, 0.3f, -0.3f, -0.8f, -0.2f, 0.6f, -0.2f, 0.4f, -0.7f, -0.3f, -0.5f, 0.1f, 0.5f, -0.6f, -0.4f}) }, { // placeholder27 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param27 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_input_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.2f, -0.3f, 0.4f, 0.1f, -0.5f, 0.9f, -0.2f, -0.3f, -0.7f, 0.05f, -0.2f, -0.6f}) }, { // placeholder28 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param28 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_forget_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5f, -0.3f, -0.5f, -0.2f, 0.6f, 0.4f, 0.9f, 0.3f, -0.1f, 0.2f, 0.5f, 0.2f}) }, { // placeholder29 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param29 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_cell_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3f, 0.2f, 0.1f, -0.3f, 0.8f, -0.08f, -0.2f, 0.3f, 0.8f, -0.6f, -0.1f, 0.2f}) }, { // placeholder30 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param30 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_output_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.3f, -0.1f, 0.1f, -0.2f, -0.5f, -0.7f, -0.2f, -0.6f, -0.1f, -0.4f, -0.7f, -0.2f}) }, { // placeholder31 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param31 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_input_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, 0.1f, 0.25f, 0.15f}) }, { // placeholder32 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param32 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_forget_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.02f, -0.15f, -0.25f, -0.03f}) }, { // placeholder33 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param33 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_output_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.1f, -0.5f, 0.05f}) }, { // placeholder34 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param34 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.03f, 0.15f, 0.22f, 0.38f}) }, { // placeholder35 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param35 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // forget_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.3f, -0.2f, 0.1f}) }, { // placeholder36 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param36 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.05f, 0.72f, 0.25f, 0.08f}) }, { // placeholder37 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param37 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, -0.01f, 0.2f, 0.1f}) }, { // placeholder38 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param38 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // projection_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.1f, 0.2f, 0.01f, -0.2f, 0.1f, 0.5f, 0.3f, 0.08f, 0.07f, 0.2f, -0.4f, 0.2f}) }, { // placeholder39 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param39 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_state_in_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.024407668039203f, 0.128027379512787f, -0.001709178090096f, -0.006924282759428f, 0.08487406373024f, 0.06344497948885f}) }, { // placeholder40 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param40 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_state_in_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.451771229505539f, 0.376915663480759f, 0.225425109267235f, 0.232406347990036f, -0.252585828304291f, 0.330421179533005f, 0.017305245622993f, 0.366601228713989f}) }, { // placeholder41 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param41 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_layer_norm_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, 0.2f, 0.3f, 0.5f}) }, { // placeholder42 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param42 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // forget_layer_norm_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.2f, 0.4f, 0.3f}) }, { // placeholder43 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param43 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_layer_norm_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.2f, 0.3f, 0.8f}) }, { // placeholder44 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param44 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_layer_norm_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.6f, 0.2f, 0.2f, 0.5f}) }, { // placeholder45 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param45 .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 = {31, 32, 33}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {34, 35, 36}, .outputs = {1} }, { .type = TestOperationType::ADD, .inputs = {37, 38, 39}, .outputs = {2} }, { .type = TestOperationType::ADD, .inputs = {40, 41, 42}, .outputs = {3} }, { .type = TestOperationType::ADD, .inputs = {43, 44, 45}, .outputs = {4} }, { .type = TestOperationType::ADD, .inputs = {46, 47, 48}, .outputs = {5} }, { .type = TestOperationType::ADD, .inputs = {49, 50, 51}, .outputs = {6} }, { .type = TestOperationType::ADD, .inputs = {52, 53, 54}, .outputs = {7} }, { .type = TestOperationType::ADD, .inputs = {55, 56, 57}, .outputs = {8} }, { .type = TestOperationType::ADD, .inputs = {58, 59, 60}, .outputs = {9} }, { .type = TestOperationType::ADD, .inputs = {61, 62, 63}, .outputs = {10} }, { .type = TestOperationType::ADD, .inputs = {64, 65, 66}, .outputs = {11} }, { .type = TestOperationType::ADD, .inputs = {67, 68, 69}, .outputs = {12} }, { .type = TestOperationType::ADD, .inputs = {70, 71, 72}, .outputs = {13} }, { .type = TestOperationType::ADD, .inputs = {73, 74, 75}, .outputs = {14} }, { .type = TestOperationType::ADD, .inputs = {76, 77, 78}, .outputs = {15} }, { .type = TestOperationType::ADD, .inputs = {79, 80, 81}, .outputs = {16} }, { .type = TestOperationType::ADD, .inputs = {82, 83, 84}, .outputs = {18} }, { .type = TestOperationType::ADD, .inputs = {85, 86, 87}, .outputs = {19} }, { .type = TestOperationType::ADD, .inputs = {88, 89, 90}, .outputs = {23} }, { .type = TestOperationType::ADD, .inputs = {91, 92, 93}, .outputs = {24} }, { .type = TestOperationType::ADD, .inputs = {94, 95, 96}, .outputs = {25} }, { .type = TestOperationType::ADD, .inputs = {97, 98, 99}, .outputs = {26} }, { .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26}, .outputs = {27, 28, 29, 30} }}, .inputIndexes = {17, 31, 34, 37, 40, 43, 46, 49, 52, 55, 58, 61, 64, 67, 70, 73, 76, 79, 82, 85, 88, 91, 94, 97}, .outputIndexes = {27, 28, 29, 30} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_2 = TestModelManager::get().add("layer_norm_lstm_NoCifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_2", get_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_2()); } // namespace generated_tests::layer_norm_lstm namespace generated_tests::layer_norm_lstm { const TestModel& get_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_3() { static TestModel model = { .main = { .operands = {{ // input .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.7f, 0.7f, 0.1f, 0.7f, 0.6f, 0.9f, 0.2f, 0.5f, 0.7f}) }, { // input_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.5f, 0.6f, 0.7f, -0.8f, -0.9f, 0.1f, 0.2f, 0.3f, -0.4f, 0.5f, -0.8f, 0.7f, -0.6f, 0.5f, -0.4f, -0.5f, -0.4f, -0.3f, -0.2f, -0.1f}) }, { // input_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.6f, -0.1f, 0.3f, 0.2f, 0.9f, -0.5f, -0.2f, -0.4f, 0.3f, -0.8f, -0.4f, 0.3f, -0.5f, -0.4f, -0.6f, 0.3f, -0.4f, -0.6f, -0.5f, -0.5f}) }, { // input_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.4f, -0.3f, -0.2f, -0.1f, -0.5f, 0.5f, -0.2f, -0.3f, -0.2f, -0.6f, 0.6f, -0.1f, -0.4f, -0.3f, -0.7f, 0.7f, -0.9f, -0.5f, 0.8f, 0.6f}) }, { // input_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.8f, -0.4f, -0.2f, -0.9f, -0.1f, -0.7f, 0.3f, -0.3f, -0.8f, -0.2f, 0.6f, -0.2f, 0.4f, -0.7f, -0.3f, -0.5f, 0.1f, 0.5f, -0.6f, -0.4f}) }, { // recurrent_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.2f, -0.3f, 0.4f, 0.1f, -0.5f, 0.9f, -0.2f, -0.3f, -0.7f, 0.05f, -0.2f, -0.6f}) }, { // recurrent_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5f, -0.3f, -0.5f, -0.2f, 0.6f, 0.4f, 0.9f, 0.3f, -0.1f, 0.2f, 0.5f, 0.2f}) }, { // recurrent_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3f, 0.2f, 0.1f, -0.3f, 0.8f, -0.08f, -0.2f, 0.3f, 0.8f, -0.6f, -0.1f, 0.2f}) }, { // recurrent_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.3f, -0.1f, 0.1f, -0.2f, -0.5f, -0.7f, -0.2f, -0.6f, -0.1f, -0.4f, -0.7f, -0.2f}) }, { // cell_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, 0.1f, 0.25f, 0.15f}) }, { // cell_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.02f, -0.15f, -0.25f, -0.03f}) }, { // cell_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.1f, -0.5f, 0.05f}) }, { // input_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.03f, 0.15f, 0.22f, 0.38f}) }, { // forget_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.3f, -0.2f, 0.1f}) }, { // cell_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.05f, 0.72f, 0.25f, 0.08f}) }, { // output_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, -0.01f, 0.2f, 0.1f}) }, { // projection_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.1f, 0.2f, 0.01f, -0.2f, 0.1f, 0.5f, 0.3f, 0.08f, 0.07f, 0.2f, -0.4f, 0.2f}) }, { // projection_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.013764165341854f, 0.140751048922539f, 0.039583537727594f, -0.004039138555527f, 0.139963015913963f, 0.072681039571762f}) }, { // cell_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.645632147789001f, 0.518238246440887f, 0.168679088354111f, 0.555787742137909f, -0.49367481470108f, 0.475847363471985f, 0.106874041259289f, 0.50430965423584f}) }, { // activation_param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // input_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, 0.2f, 0.3f, 0.5f}) }, { // forget_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.2f, 0.4f, 0.3f}) }, { // cell_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.2f, 0.3f, 0.8f}) }, { // output_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.6f, 0.2f, 0.2f, 0.5f}) }, { // scratch_buffer .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 16}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.004592306911945f, 0.155278354883194f, 0.083737745881081f, 0.007527053356171f, 0.161902531981468f, 0.056137066334486f}) }, { // cell_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.742560744285583f, 0.579139292240143f, 0.114988230168819f, 0.649957716464996f, -0.686565399169922f, 0.548869132995605f, 0.17313876748085f, 0.587379336357117f}) }, { // output .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.004592306911945f, 0.155278354883194f, 0.083737745881081f, 0.007527053356171f, 0.161902531981468f, 0.056137066334486f}) }}, .operations = {{ .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26}, .outputs = {27, 28, 29, 30} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 23, 24, 25, 26}, .outputIndexes = {27, 28, 29, 30} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_3 = TestModelManager::get().add("layer_norm_lstm_NoCifgPeepholeProjectionNoClippingLayerNormLstm_3", get_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_3()); } // namespace generated_tests::layer_norm_lstm namespace generated_tests::layer_norm_lstm { const TestModel& get_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_3() { static TestModel model = { .main = { .operands = {{ // input .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_cell_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_input_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_forget_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_output_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_gate_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_bias .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_state_in .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // activation_param .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // input_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_layer_norm_weights .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // scratch_buffer .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 16}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.004592306911945f, 0.155278354883194f, 0.083737745881081f, 0.007527053356171f, 0.161902531981468f, 0.056137066334486f}) }, { // cell_state_out .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.742560744285583f, 0.579139292240143f, 0.114988230168819f, 0.649957716464996f, -0.686565399169922f, 0.548869132995605f, 0.17313876748085f, 0.587379336357117f}) }, { // output .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.004592306911945f, 0.155278354883194f, 0.083737745881081f, 0.007527053356171f, 0.161902531981468f, 0.056137066334486f}) }, { // input_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.7f, 0.7f, 0.1f, 0.7f, 0.6f, 0.9f, 0.2f, 0.5f, 0.7f}) }, { // placeholder46 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param46 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_input_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.5f, 0.6f, 0.7f, -0.8f, -0.9f, 0.1f, 0.2f, 0.3f, -0.4f, 0.5f, -0.8f, 0.7f, -0.6f, 0.5f, -0.4f, -0.5f, -0.4f, -0.3f, -0.2f, -0.1f}) }, { // placeholder47 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param47 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_forget_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.6f, -0.1f, 0.3f, 0.2f, 0.9f, -0.5f, -0.2f, -0.4f, 0.3f, -0.8f, -0.4f, 0.3f, -0.5f, -0.4f, -0.6f, 0.3f, -0.4f, -0.6f, -0.5f, -0.5f}) }, { // placeholder48 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param48 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_cell_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.4f, -0.3f, -0.2f, -0.1f, -0.5f, 0.5f, -0.2f, -0.3f, -0.2f, -0.6f, 0.6f, -0.1f, -0.4f, -0.3f, -0.7f, 0.7f, -0.9f, -0.5f, 0.8f, 0.6f}) }, { // placeholder49 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param49 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_output_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.8f, -0.4f, -0.2f, -0.9f, -0.1f, -0.7f, 0.3f, -0.3f, -0.8f, -0.2f, 0.6f, -0.2f, 0.4f, -0.7f, -0.3f, -0.5f, 0.1f, 0.5f, -0.6f, -0.4f}) }, { // placeholder50 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param50 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_input_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.2f, -0.3f, 0.4f, 0.1f, -0.5f, 0.9f, -0.2f, -0.3f, -0.7f, 0.05f, -0.2f, -0.6f}) }, { // placeholder51 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param51 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_forget_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5f, -0.3f, -0.5f, -0.2f, 0.6f, 0.4f, 0.9f, 0.3f, -0.1f, 0.2f, 0.5f, 0.2f}) }, { // placeholder52 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param52 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_cell_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3f, 0.2f, 0.1f, -0.3f, 0.8f, -0.08f, -0.2f, 0.3f, 0.8f, -0.6f, -0.1f, 0.2f}) }, { // placeholder53 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param53 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_output_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.3f, -0.1f, 0.1f, -0.2f, -0.5f, -0.7f, -0.2f, -0.6f, -0.1f, -0.4f, -0.7f, -0.2f}) }, { // placeholder54 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param54 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_input_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, 0.1f, 0.25f, 0.15f}) }, { // placeholder55 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param55 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_forget_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.02f, -0.15f, -0.25f, -0.03f}) }, { // placeholder56 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param56 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_output_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.1f, -0.5f, 0.05f}) }, { // placeholder57 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param57 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.03f, 0.15f, 0.22f, 0.38f}) }, { // placeholder58 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param58 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // forget_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.3f, -0.2f, 0.1f}) }, { // placeholder59 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param59 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.05f, 0.72f, 0.25f, 0.08f}) }, { // placeholder60 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param60 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_gate_bias_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, -0.01f, 0.2f, 0.1f}) }, { // placeholder61 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param61 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // projection_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.1f, 0.2f, 0.01f, -0.2f, 0.1f, 0.5f, 0.3f, 0.08f, 0.07f, 0.2f, -0.4f, 0.2f}) }, { // placeholder62 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param62 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_state_in_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.013764165341854f, 0.140751048922539f, 0.039583537727594f, -0.004039138555527f, 0.139963015913963f, 0.072681039571762f}) }, { // placeholder63 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param63 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_state_in_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.645632147789001f, 0.518238246440887f, 0.168679088354111f, 0.555787742137909f, -0.49367481470108f, 0.475847363471985f, 0.106874041259289f, 0.50430965423584f}) }, { // placeholder64 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param64 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_layer_norm_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, 0.2f, 0.3f, 0.5f}) }, { // placeholder65 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param65 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // forget_layer_norm_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.2f, 0.4f, 0.3f}) }, { // placeholder66 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param66 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_layer_norm_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.2f, 0.3f, 0.8f}) }, { // placeholder67 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param67 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_layer_norm_weights_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.6f, 0.2f, 0.2f, 0.5f}) }, { // placeholder68 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param68 .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 = {31, 32, 33}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {34, 35, 36}, .outputs = {1} }, { .type = TestOperationType::ADD, .inputs = {37, 38, 39}, .outputs = {2} }, { .type = TestOperationType::ADD, .inputs = {40, 41, 42}, .outputs = {3} }, { .type = TestOperationType::ADD, .inputs = {43, 44, 45}, .outputs = {4} }, { .type = TestOperationType::ADD, .inputs = {46, 47, 48}, .outputs = {5} }, { .type = TestOperationType::ADD, .inputs = {49, 50, 51}, .outputs = {6} }, { .type = TestOperationType::ADD, .inputs = {52, 53, 54}, .outputs = {7} }, { .type = TestOperationType::ADD, .inputs = {55, 56, 57}, .outputs = {8} }, { .type = TestOperationType::ADD, .inputs = {58, 59, 60}, .outputs = {9} }, { .type = TestOperationType::ADD, .inputs = {61, 62, 63}, .outputs = {10} }, { .type = TestOperationType::ADD, .inputs = {64, 65, 66}, .outputs = {11} }, { .type = TestOperationType::ADD, .inputs = {67, 68, 69}, .outputs = {12} }, { .type = TestOperationType::ADD, .inputs = {70, 71, 72}, .outputs = {13} }, { .type = TestOperationType::ADD, .inputs = {73, 74, 75}, .outputs = {14} }, { .type = TestOperationType::ADD, .inputs = {76, 77, 78}, .outputs = {15} }, { .type = TestOperationType::ADD, .inputs = {79, 80, 81}, .outputs = {16} }, { .type = TestOperationType::ADD, .inputs = {82, 83, 84}, .outputs = {18} }, { .type = TestOperationType::ADD, .inputs = {85, 86, 87}, .outputs = {19} }, { .type = TestOperationType::ADD, .inputs = {88, 89, 90}, .outputs = {23} }, { .type = TestOperationType::ADD, .inputs = {91, 92, 93}, .outputs = {24} }, { .type = TestOperationType::ADD, .inputs = {94, 95, 96}, .outputs = {25} }, { .type = TestOperationType::ADD, .inputs = {97, 98, 99}, .outputs = {26} }, { .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26}, .outputs = {27, 28, 29, 30} }}, .inputIndexes = {17, 31, 34, 37, 40, 43, 46, 49, 52, 55, 58, 61, 64, 67, 70, 73, 76, 79, 82, 85, 88, 91, 94, 97}, .outputIndexes = {27, 28, 29, 30} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_3 = TestModelManager::get().add("layer_norm_lstm_NoCifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_3", get_test_model_NoCifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_3()); } // namespace generated_tests::layer_norm_lstm namespace generated_tests::layer_norm_lstm { const TestModel& get_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm() { static TestModel model = { .main = { .operands = {{ // input1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.8f, 0.1f, 0.2f, 0.3f, 0.3f, 0.2f, 0.9f, 0.8f, 0.1f}) }, { // input_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.6f, -0.1f, 0.3f, 0.2f, 0.9f, -0.5f, -0.2f, -0.4f, 0.3f, -0.8f, -0.4f, 0.3f, -0.5f, -0.4f, -0.6f, 0.3f, -0.4f, -0.6f, -0.5f, -0.5f}) }, { // input_to_cell_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.4f, -0.3f, -0.2f, -0.1f, -0.5f, 0.5f, -0.2f, -0.3f, -0.2f, -0.6f, 0.6f, -0.1f, -0.4f, -0.3f, -0.7f, 0.7f, -0.9f, -0.5f, 0.8f, 0.6f}) }, { // input_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.8f, -0.4f, -0.2f, -0.9f, -0.1f, -0.7f, 0.3f, -0.3f, -0.8f, -0.2f, 0.6f, -0.2f, 0.4f, -0.7f, -0.3f, -0.5f, 0.1f, 0.5f, -0.6f, -0.4f}) }, { // recurrent_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5f, -0.3f, -0.5f, -0.2f, 0.6f, 0.4f, 0.9f, 0.3f, -0.1f, 0.2f, 0.5f, 0.2f}) }, { // recurrent_to_cell_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3f, 0.2f, 0.1f, -0.3f, 0.8f, -0.08f, -0.2f, 0.3f, 0.8f, -0.6f, -0.1f, 0.2f}) }, { // recurrent_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.3f, -0.1f, 0.1f, -0.2f, -0.5f, -0.7f, -0.2f, -0.6f, -0.1f, -0.4f, -0.7f, -0.2f}) }, { // cell_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.02f, -0.15f, -0.25f, -0.03f}) }, { // cell_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.1f, -0.5f, 0.05f}) }, { // input_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.3f, -0.2f, 0.1f}) }, { // cell_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.05f, 0.72f, 0.25f, 0.08f}) }, { // output_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, -0.01f, 0.2f, 0.1f}) }, { // projection_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.1f, 0.2f, 0.01f, -0.2f, 0.1f, 0.5f, 0.3f, 0.08f, 0.07f, 0.2f, -0.4f, 0.2f}) }, { // projection_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // cell_state_in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // activation_param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // input_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.2f, 0.4f, 0.3f}) }, { // cell_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.2f, 0.3f, 0.8f}) }, { // output_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.6f, 0.2f, 0.2f, 0.5f}) }, { // scratch_buffer1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 12}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // cell_state_out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3510298f, 0.4261035f, 0.2146365f, 0.2771652f, -0.1885517f, 0.32522f, 0.0203665f, 0.4896766f}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.02129706f, 0.140816242f, 0.0112733059f, -0.0226350538f, 0.0916948169f, 0.0769175813f}) }}, .operations = {{ .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26}, .outputs = {27, 28, 29, 30} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 23, 24, 25, 26}, .outputIndexes = {27, 28, 29, 30} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm = TestModelManager::get().add("layer_norm_lstm_CifgPeepholeProjectionNoClippingLayerNormLstm", get_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm()); } // namespace generated_tests::layer_norm_lstm namespace generated_tests::layer_norm_lstm { const TestModel& get_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal() { static TestModel model = { .main = { .operands = {{ // input1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_cell_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_cell_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_state_in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // activation_param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // input_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // scratch_buffer1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 12}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // cell_state_out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3510298f, 0.4261035f, 0.2146365f, 0.2771652f, -0.1885517f, 0.32522f, 0.0203665f, 0.4896766f}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.02129706f, 0.140816242f, 0.0112733059f, -0.0226350538f, 0.0916948169f, 0.0769175813f}) }, { // input1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.8f, 0.1f, 0.2f, 0.3f, 0.3f, 0.2f, 0.9f, 0.8f, 0.1f}) }, { // placeholder69 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param69 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_forget_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.6f, -0.1f, 0.3f, 0.2f, 0.9f, -0.5f, -0.2f, -0.4f, 0.3f, -0.8f, -0.4f, 0.3f, -0.5f, -0.4f, -0.6f, 0.3f, -0.4f, -0.6f, -0.5f, -0.5f}) }, { // placeholder70 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param70 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_cell_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.4f, -0.3f, -0.2f, -0.1f, -0.5f, 0.5f, -0.2f, -0.3f, -0.2f, -0.6f, 0.6f, -0.1f, -0.4f, -0.3f, -0.7f, 0.7f, -0.9f, -0.5f, 0.8f, 0.6f}) }, { // placeholder71 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param71 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_output_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.8f, -0.4f, -0.2f, -0.9f, -0.1f, -0.7f, 0.3f, -0.3f, -0.8f, -0.2f, 0.6f, -0.2f, 0.4f, -0.7f, -0.3f, -0.5f, 0.1f, 0.5f, -0.6f, -0.4f}) }, { // placeholder72 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param72 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_forget_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5f, -0.3f, -0.5f, -0.2f, 0.6f, 0.4f, 0.9f, 0.3f, -0.1f, 0.2f, 0.5f, 0.2f}) }, { // placeholder73 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param73 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_cell_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3f, 0.2f, 0.1f, -0.3f, 0.8f, -0.08f, -0.2f, 0.3f, 0.8f, -0.6f, -0.1f, 0.2f}) }, { // placeholder74 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param74 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_output_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.3f, -0.1f, 0.1f, -0.2f, -0.5f, -0.7f, -0.2f, -0.6f, -0.1f, -0.4f, -0.7f, -0.2f}) }, { // placeholder75 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param75 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_forget_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.02f, -0.15f, -0.25f, -0.03f}) }, { // placeholder76 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param76 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_output_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.1f, -0.5f, 0.05f}) }, { // placeholder77 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param77 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // forget_gate_bias1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.3f, -0.2f, 0.1f}) }, { // placeholder78 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param78 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_gate_bias1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.05f, 0.72f, 0.25f, 0.08f}) }, { // placeholder79 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param79 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_gate_bias1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, -0.01f, 0.2f, 0.1f}) }, { // placeholder80 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param80 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // projection_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.1f, 0.2f, 0.01f, -0.2f, 0.1f, 0.5f, 0.3f, 0.08f, 0.07f, 0.2f, -0.4f, 0.2f}) }, { // placeholder81 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param81 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_state_in1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // placeholder82 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param82 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_state_in1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // placeholder83 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param83 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // forget_layer_norm_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.2f, 0.4f, 0.3f}) }, { // placeholder84 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param84 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_layer_norm_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.2f, 0.3f, 0.8f}) }, { // placeholder85 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param85 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_layer_norm_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.6f, 0.2f, 0.2f, 0.5f}) }, { // placeholder86 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param86 .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 = {31, 32, 33}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {34, 35, 36}, .outputs = {2} }, { .type = TestOperationType::ADD, .inputs = {37, 38, 39}, .outputs = {3} }, { .type = TestOperationType::ADD, .inputs = {40, 41, 42}, .outputs = {4} }, { .type = TestOperationType::ADD, .inputs = {43, 44, 45}, .outputs = {6} }, { .type = TestOperationType::ADD, .inputs = {46, 47, 48}, .outputs = {7} }, { .type = TestOperationType::ADD, .inputs = {49, 50, 51}, .outputs = {8} }, { .type = TestOperationType::ADD, .inputs = {52, 53, 54}, .outputs = {10} }, { .type = TestOperationType::ADD, .inputs = {55, 56, 57}, .outputs = {11} }, { .type = TestOperationType::ADD, .inputs = {58, 59, 60}, .outputs = {13} }, { .type = TestOperationType::ADD, .inputs = {61, 62, 63}, .outputs = {14} }, { .type = TestOperationType::ADD, .inputs = {64, 65, 66}, .outputs = {15} }, { .type = TestOperationType::ADD, .inputs = {67, 68, 69}, .outputs = {16} }, { .type = TestOperationType::ADD, .inputs = {70, 71, 72}, .outputs = {18} }, { .type = TestOperationType::ADD, .inputs = {73, 74, 75}, .outputs = {19} }, { .type = TestOperationType::ADD, .inputs = {76, 77, 78}, .outputs = {24} }, { .type = TestOperationType::ADD, .inputs = {79, 80, 81}, .outputs = {25} }, { .type = TestOperationType::ADD, .inputs = {82, 83, 84}, .outputs = {26} }, { .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26}, .outputs = {27, 28, 29, 30} }}, .inputIndexes = {1, 5, 9, 12, 17, 23, 31, 34, 37, 40, 43, 46, 49, 52, 55, 58, 61, 64, 67, 70, 73, 76, 79, 82}, .outputIndexes = {27, 28, 29, 30} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal = TestModelManager::get().add("layer_norm_lstm_CifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal", get_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal()); } // namespace generated_tests::layer_norm_lstm namespace generated_tests::layer_norm_lstm { const TestModel& get_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_2() { static TestModel model = { .main = { .operands = {{ // input1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.8f, 0.1f, 0.2f, 0.4f, 0.5f, 0.1f, 0.5f, 0.2f, 0.4f, 0.2f}) }, { // input_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.6f, -0.1f, 0.3f, 0.2f, 0.9f, -0.5f, -0.2f, -0.4f, 0.3f, -0.8f, -0.4f, 0.3f, -0.5f, -0.4f, -0.6f, 0.3f, -0.4f, -0.6f, -0.5f, -0.5f}) }, { // input_to_cell_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.4f, -0.3f, -0.2f, -0.1f, -0.5f, 0.5f, -0.2f, -0.3f, -0.2f, -0.6f, 0.6f, -0.1f, -0.4f, -0.3f, -0.7f, 0.7f, -0.9f, -0.5f, 0.8f, 0.6f}) }, { // input_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.8f, -0.4f, -0.2f, -0.9f, -0.1f, -0.7f, 0.3f, -0.3f, -0.8f, -0.2f, 0.6f, -0.2f, 0.4f, -0.7f, -0.3f, -0.5f, 0.1f, 0.5f, -0.6f, -0.4f}) }, { // recurrent_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5f, -0.3f, -0.5f, -0.2f, 0.6f, 0.4f, 0.9f, 0.3f, -0.1f, 0.2f, 0.5f, 0.2f}) }, { // recurrent_to_cell_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3f, 0.2f, 0.1f, -0.3f, 0.8f, -0.08f, -0.2f, 0.3f, 0.8f, -0.6f, -0.1f, 0.2f}) }, { // recurrent_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.3f, -0.1f, 0.1f, -0.2f, -0.5f, -0.7f, -0.2f, -0.6f, -0.1f, -0.4f, -0.7f, -0.2f}) }, { // cell_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.02f, -0.15f, -0.25f, -0.03f}) }, { // cell_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.1f, -0.5f, 0.05f}) }, { // input_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.3f, -0.2f, 0.1f}) }, { // cell_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.05f, 0.72f, 0.25f, 0.08f}) }, { // output_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, -0.01f, 0.2f, 0.1f}) }, { // projection_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.1f, 0.2f, 0.01f, -0.2f, 0.1f, 0.5f, 0.3f, 0.08f, 0.07f, 0.2f, -0.4f, 0.2f}) }, { // projection_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.02129706f, 0.140816242f, 0.0112733059f, -0.0226350538f, 0.0916948169f, 0.0769175813f}) }, { // cell_state_in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3510298f, 0.4261035f, 0.2146365f, 0.2771652f, -0.1885517f, 0.32522f, 0.0203665f, 0.4896766f}) }, { // activation_param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // input_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.2f, 0.4f, 0.3f}) }, { // cell_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.2f, 0.3f, 0.8f}) }, { // output_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.6f, 0.2f, 0.2f, 0.5f}) }, { // scratch_buffer1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 12}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // cell_state_out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5069088f, 0.5386363f, 0.1980069f, 0.5355753f, -0.3866257f, 0.4749442f, 0.1074765f, 0.7124508f}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0132302344f, 0.152308047f, 0.0346313119f, -0.0269966982f, 0.149707705f, 0.094149217f}) }}, .operations = {{ .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26}, .outputs = {27, 28, 29, 30} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 23, 24, 25, 26}, .outputIndexes = {27, 28, 29, 30} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_2 = TestModelManager::get().add("layer_norm_lstm_CifgPeepholeProjectionNoClippingLayerNormLstm_2", get_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_2()); } // namespace generated_tests::layer_norm_lstm namespace generated_tests::layer_norm_lstm { const TestModel& get_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_2() { static TestModel model = { .main = { .operands = {{ // input1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_cell_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_cell_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_state_in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // activation_param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // input_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // scratch_buffer1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 12}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // cell_state_out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5069088f, 0.5386363f, 0.1980069f, 0.5355753f, -0.3866257f, 0.4749442f, 0.1074765f, 0.7124508f}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0132302344f, 0.152308047f, 0.0346313119f, -0.0269966982f, 0.149707705f, 0.094149217f}) }, { // input1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.8f, 0.1f, 0.2f, 0.4f, 0.5f, 0.1f, 0.5f, 0.2f, 0.4f, 0.2f}) }, { // placeholder87 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param87 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_forget_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.6f, -0.1f, 0.3f, 0.2f, 0.9f, -0.5f, -0.2f, -0.4f, 0.3f, -0.8f, -0.4f, 0.3f, -0.5f, -0.4f, -0.6f, 0.3f, -0.4f, -0.6f, -0.5f, -0.5f}) }, { // placeholder88 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param88 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_cell_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.4f, -0.3f, -0.2f, -0.1f, -0.5f, 0.5f, -0.2f, -0.3f, -0.2f, -0.6f, 0.6f, -0.1f, -0.4f, -0.3f, -0.7f, 0.7f, -0.9f, -0.5f, 0.8f, 0.6f}) }, { // placeholder89 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param89 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_output_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.8f, -0.4f, -0.2f, -0.9f, -0.1f, -0.7f, 0.3f, -0.3f, -0.8f, -0.2f, 0.6f, -0.2f, 0.4f, -0.7f, -0.3f, -0.5f, 0.1f, 0.5f, -0.6f, -0.4f}) }, { // placeholder90 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param90 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_forget_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5f, -0.3f, -0.5f, -0.2f, 0.6f, 0.4f, 0.9f, 0.3f, -0.1f, 0.2f, 0.5f, 0.2f}) }, { // placeholder91 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param91 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_cell_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3f, 0.2f, 0.1f, -0.3f, 0.8f, -0.08f, -0.2f, 0.3f, 0.8f, -0.6f, -0.1f, 0.2f}) }, { // placeholder92 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param92 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_output_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.3f, -0.1f, 0.1f, -0.2f, -0.5f, -0.7f, -0.2f, -0.6f, -0.1f, -0.4f, -0.7f, -0.2f}) }, { // placeholder93 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param93 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_forget_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.02f, -0.15f, -0.25f, -0.03f}) }, { // placeholder94 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param94 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_output_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.1f, -0.5f, 0.05f}) }, { // placeholder95 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param95 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // forget_gate_bias1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.3f, -0.2f, 0.1f}) }, { // placeholder96 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param96 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_gate_bias1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.05f, 0.72f, 0.25f, 0.08f}) }, { // placeholder97 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param97 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_gate_bias1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, -0.01f, 0.2f, 0.1f}) }, { // placeholder98 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param98 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // projection_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.1f, 0.2f, 0.01f, -0.2f, 0.1f, 0.5f, 0.3f, 0.08f, 0.07f, 0.2f, -0.4f, 0.2f}) }, { // placeholder99 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param99 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_state_in1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.02129706f, 0.140816242f, 0.0112733059f, -0.0226350538f, 0.0916948169f, 0.0769175813f}) }, { // placeholder100 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param100 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_state_in1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3510298f, 0.4261035f, 0.2146365f, 0.2771652f, -0.1885517f, 0.32522f, 0.0203665f, 0.4896766f}) }, { // placeholder101 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param101 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // forget_layer_norm_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.2f, 0.4f, 0.3f}) }, { // placeholder102 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param102 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_layer_norm_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.2f, 0.3f, 0.8f}) }, { // placeholder103 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param103 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_layer_norm_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.6f, 0.2f, 0.2f, 0.5f}) }, { // placeholder104 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param104 .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 = {31, 32, 33}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {34, 35, 36}, .outputs = {2} }, { .type = TestOperationType::ADD, .inputs = {37, 38, 39}, .outputs = {3} }, { .type = TestOperationType::ADD, .inputs = {40, 41, 42}, .outputs = {4} }, { .type = TestOperationType::ADD, .inputs = {43, 44, 45}, .outputs = {6} }, { .type = TestOperationType::ADD, .inputs = {46, 47, 48}, .outputs = {7} }, { .type = TestOperationType::ADD, .inputs = {49, 50, 51}, .outputs = {8} }, { .type = TestOperationType::ADD, .inputs = {52, 53, 54}, .outputs = {10} }, { .type = TestOperationType::ADD, .inputs = {55, 56, 57}, .outputs = {11} }, { .type = TestOperationType::ADD, .inputs = {58, 59, 60}, .outputs = {13} }, { .type = TestOperationType::ADD, .inputs = {61, 62, 63}, .outputs = {14} }, { .type = TestOperationType::ADD, .inputs = {64, 65, 66}, .outputs = {15} }, { .type = TestOperationType::ADD, .inputs = {67, 68, 69}, .outputs = {16} }, { .type = TestOperationType::ADD, .inputs = {70, 71, 72}, .outputs = {18} }, { .type = TestOperationType::ADD, .inputs = {73, 74, 75}, .outputs = {19} }, { .type = TestOperationType::ADD, .inputs = {76, 77, 78}, .outputs = {24} }, { .type = TestOperationType::ADD, .inputs = {79, 80, 81}, .outputs = {25} }, { .type = TestOperationType::ADD, .inputs = {82, 83, 84}, .outputs = {26} }, { .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26}, .outputs = {27, 28, 29, 30} }}, .inputIndexes = {1, 5, 9, 12, 17, 23, 31, 34, 37, 40, 43, 46, 49, 52, 55, 58, 61, 64, 67, 70, 73, 76, 79, 82}, .outputIndexes = {27, 28, 29, 30} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_2 = TestModelManager::get().add("layer_norm_lstm_CifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_2", get_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_2()); } // namespace generated_tests::layer_norm_lstm namespace generated_tests::layer_norm_lstm { const TestModel& get_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_3() { static TestModel model = { .main = { .operands = {{ // input1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.7f, 0.7f, 0.1f, 0.7f, 0.6f, 0.9f, 0.2f, 0.5f, 0.7f}) }, { // input_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.6f, -0.1f, 0.3f, 0.2f, 0.9f, -0.5f, -0.2f, -0.4f, 0.3f, -0.8f, -0.4f, 0.3f, -0.5f, -0.4f, -0.6f, 0.3f, -0.4f, -0.6f, -0.5f, -0.5f}) }, { // input_to_cell_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.4f, -0.3f, -0.2f, -0.1f, -0.5f, 0.5f, -0.2f, -0.3f, -0.2f, -0.6f, 0.6f, -0.1f, -0.4f, -0.3f, -0.7f, 0.7f, -0.9f, -0.5f, 0.8f, 0.6f}) }, { // input_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.8f, -0.4f, -0.2f, -0.9f, -0.1f, -0.7f, 0.3f, -0.3f, -0.8f, -0.2f, 0.6f, -0.2f, 0.4f, -0.7f, -0.3f, -0.5f, 0.1f, 0.5f, -0.6f, -0.4f}) }, { // recurrent_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5f, -0.3f, -0.5f, -0.2f, 0.6f, 0.4f, 0.9f, 0.3f, -0.1f, 0.2f, 0.5f, 0.2f}) }, { // recurrent_to_cell_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3f, 0.2f, 0.1f, -0.3f, 0.8f, -0.08f, -0.2f, 0.3f, 0.8f, -0.6f, -0.1f, 0.2f}) }, { // recurrent_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.3f, -0.1f, 0.1f, -0.2f, -0.5f, -0.7f, -0.2f, -0.6f, -0.1f, -0.4f, -0.7f, -0.2f}) }, { // cell_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.02f, -0.15f, -0.25f, -0.03f}) }, { // cell_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.1f, -0.5f, 0.05f}) }, { // input_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.3f, -0.2f, 0.1f}) }, { // cell_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.05f, 0.72f, 0.25f, 0.08f}) }, { // output_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, -0.01f, 0.2f, 0.1f}) }, { // projection_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.1f, 0.2f, 0.01f, -0.2f, 0.1f, 0.5f, 0.3f, 0.08f, 0.07f, 0.2f, -0.4f, 0.2f}) }, { // projection_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0132302344f, 0.152308047f, 0.0346313119f, -0.0269966982f, 0.149707705f, 0.094149217f}) }, { // cell_state_in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5069088f, 0.5386363f, 0.1980069f, 0.5355753f, -0.3866257f, 0.4749442f, 0.1074765f, 0.7124508f}) }, { // activation_param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // input_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.2f, 0.4f, 0.3f}) }, { // cell_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.2f, 0.3f, 0.8f}) }, { // output_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.6f, 0.2f, 0.2f, 0.5f}) }, { // scratch_buffer1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 12}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // cell_state_out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5736622f, 0.5952501f, 0.129295f, 0.711027f, -0.5323033f, 0.5556133f, 0.1800992f, 0.7845056f}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.0123688057f, 0.165790111f, 0.0893077999f, -0.0103429332f, 0.173016444f, 0.0720508844f}) }}, .operations = {{ .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26}, .outputs = {27, 28, 29, 30} }}, .inputIndexes = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 23, 24, 25, 26}, .outputIndexes = {27, 28, 29, 30} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_3 = TestModelManager::get().add("layer_norm_lstm_CifgPeepholeProjectionNoClippingLayerNormLstm_3", get_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_3()); } // namespace generated_tests::layer_norm_lstm namespace generated_tests::layer_norm_lstm { const TestModel& get_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_3() { static TestModel model = { .main = { .operands = {{ // input1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_cell_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0, 0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_cell_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // recurrent_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_input_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_forget_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_to_output_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // input_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_gate_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // projection_bias1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_state_in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_state_in1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // activation_param1 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({4}) }, { // cell_clip_param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // proj_clip_param1 .type = TestOperandType::FLOAT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // input_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {0}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // forget_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // cell_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // output_layer_norm_weights1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::TEMPORARY_VARIABLE, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({}) }, { // scratch_buffer1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 12}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // output_state_out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = true, .data = TestBuffer::createFromVector({0.0f, 0.0f, 0.0f, 0.0f, 0.0f, 0.0f}) }, { // cell_state_out1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5736622f, 0.5952501f, 0.129295f, 0.711027f, -0.5323033f, 0.5556133f, 0.1800992f, 0.7845056f}) }, { // output1 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 0, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_OUTPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.0123688057f, 0.165790111f, 0.0893077999f, -0.0103429332f, 0.173016444f, 0.0720508844f}) }, { // input1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.7f, 0.7f, 0.1f, 0.7f, 0.6f, 0.9f, 0.2f, 0.5f, 0.7f}) }, { // placeholder105 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param105 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_forget_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.6f, -0.1f, 0.3f, 0.2f, 0.9f, -0.5f, -0.2f, -0.4f, 0.3f, -0.8f, -0.4f, 0.3f, -0.5f, -0.4f, -0.6f, 0.3f, -0.4f, -0.6f, -0.5f, -0.5f}) }, { // placeholder106 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param106 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_cell_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.4f, -0.3f, -0.2f, -0.1f, -0.5f, 0.5f, -0.2f, -0.3f, -0.2f, -0.6f, 0.6f, -0.1f, -0.4f, -0.3f, -0.7f, 0.7f, -0.9f, -0.5f, 0.8f, 0.6f}) }, { // placeholder107 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param107 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // input_to_output_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 5}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.8f, -0.4f, -0.2f, -0.9f, -0.1f, -0.7f, 0.3f, -0.3f, -0.8f, -0.2f, 0.6f, -0.2f, 0.4f, -0.7f, -0.3f, -0.5f, 0.1f, 0.5f, -0.6f, -0.4f}) }, { // placeholder108 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param108 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_forget_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5f, -0.3f, -0.5f, -0.2f, 0.6f, 0.4f, 0.9f, 0.3f, -0.1f, 0.2f, 0.5f, 0.2f}) }, { // placeholder109 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param109 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_cell_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.3f, 0.2f, 0.1f, -0.3f, 0.8f, -0.08f, -0.2f, 0.3f, 0.8f, -0.6f, -0.1f, 0.2f}) }, { // placeholder110 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param110 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // recurrent_to_output_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.3f, -0.1f, 0.1f, -0.2f, -0.5f, -0.7f, -0.2f, -0.6f, -0.1f, -0.4f, -0.7f, -0.2f}) }, { // placeholder111 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param111 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_forget_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.02f, -0.15f, -0.25f, -0.03f}) }, { // placeholder112 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param112 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_to_output_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.1f, -0.5f, 0.05f}) }, { // placeholder113 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param113 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // forget_gate_bias1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.1f, -0.3f, -0.2f, 0.1f}) }, { // placeholder114 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param114 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_gate_bias1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.05f, 0.72f, 0.25f, 0.08f}) }, { // placeholder115 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param115 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_gate_bias1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.05f, -0.01f, 0.2f, 0.1f}) }, { // placeholder116 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param116 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // projection_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {3, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.1f, 0.2f, 0.01f, -0.2f, 0.1f, 0.5f, 0.3f, 0.08f, 0.07f, 0.2f, -0.4f, 0.2f}) }, { // placeholder117 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param117 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_state_in1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 3}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0132302344f, 0.152308047f, 0.0346313119f, -0.0269966982f, 0.149707705f, 0.094149217f}) }, { // placeholder118 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param118 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_state_in1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {2, 4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({-0.5069088f, 0.5386363f, 0.1980069f, 0.5355753f, -0.3866257f, 0.4749442f, 0.1074765f, 0.7124508f}) }, { // placeholder119 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param119 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // forget_layer_norm_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.2f, 0.2f, 0.4f, 0.3f}) }, { // placeholder120 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param120 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // cell_layer_norm_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.7f, 0.2f, 0.3f, 0.8f}) }, { // placeholder121 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param121 .type = TestOperandType::INT32, .dimensions = {}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0}) }, { // output_layer_norm_weights1_new .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {4}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::SUBGRAPH_INPUT, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.6f, 0.2f, 0.2f, 0.5f}) }, { // placeholder122 .type = TestOperandType::TENSOR_FLOAT32, .dimensions = {1}, .numberOfConsumers = 1, .scale = 0.0f, .zeroPoint = 0, .lifetime = TestOperandLifeTime::CONSTANT_COPY, .channelQuant = {}, .isIgnored = false, .data = TestBuffer::createFromVector({0.0f}) }, { // param122 .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 = {31, 32, 33}, .outputs = {0} }, { .type = TestOperationType::ADD, .inputs = {34, 35, 36}, .outputs = {2} }, { .type = TestOperationType::ADD, .inputs = {37, 38, 39}, .outputs = {3} }, { .type = TestOperationType::ADD, .inputs = {40, 41, 42}, .outputs = {4} }, { .type = TestOperationType::ADD, .inputs = {43, 44, 45}, .outputs = {6} }, { .type = TestOperationType::ADD, .inputs = {46, 47, 48}, .outputs = {7} }, { .type = TestOperationType::ADD, .inputs = {49, 50, 51}, .outputs = {8} }, { .type = TestOperationType::ADD, .inputs = {52, 53, 54}, .outputs = {10} }, { .type = TestOperationType::ADD, .inputs = {55, 56, 57}, .outputs = {11} }, { .type = TestOperationType::ADD, .inputs = {58, 59, 60}, .outputs = {13} }, { .type = TestOperationType::ADD, .inputs = {61, 62, 63}, .outputs = {14} }, { .type = TestOperationType::ADD, .inputs = {64, 65, 66}, .outputs = {15} }, { .type = TestOperationType::ADD, .inputs = {67, 68, 69}, .outputs = {16} }, { .type = TestOperationType::ADD, .inputs = {70, 71, 72}, .outputs = {18} }, { .type = TestOperationType::ADD, .inputs = {73, 74, 75}, .outputs = {19} }, { .type = TestOperationType::ADD, .inputs = {76, 77, 78}, .outputs = {24} }, { .type = TestOperationType::ADD, .inputs = {79, 80, 81}, .outputs = {25} }, { .type = TestOperationType::ADD, .inputs = {82, 83, 84}, .outputs = {26} }, { .type = TestOperationType::LSTM, .inputs = {0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26}, .outputs = {27, 28, 29, 30} }}, .inputIndexes = {1, 5, 9, 12, 17, 23, 31, 34, 37, 40, 43, 46, 49, 52, 55, 58, 61, 64, 67, 70, 73, 76, 79, 82}, .outputIndexes = {27, 28, 29, 30} }, .referenced = {}, .isRelaxed = false, .expectedMultinomialDistributionTolerance = 0, .expectFailure = false, .minSupportedVersion = TestHalVersion::V1_2 }; return model; } const auto dummy_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_3 = TestModelManager::get().add("layer_norm_lstm_CifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_3", get_test_model_CifgPeepholeProjectionNoClippingLayerNormLstm_all_inputs_as_internal_3()); } // namespace generated_tests::layer_norm_lstm