// clang-format off
// Generated file (from: depthwise_conv2d_quant8.mod.py). Do not edit
// clang-format off
// Generated file (from: depthwise_conv2d_quant8.mod.py). Do not edit
// clang-format off
// Generated file (from: depthwise_conv2d_quant8.mod.py). Do not edit
#include "../../TestGenerated.h"

namespace depthwise_conv2d_quant8 {
// Generated depthwise_conv2d_quant8 test
#include "-"
// Generated model constructor
#include "-"
} // namespace depthwise_conv2d_quant8

void CreateModel(Model *model) {
  OperandType type0(Type::TENSOR_QUANT8_ASYMM, {1, 2, 2, 2}, 0.5f, 0);
  OperandType type1(Type::TENSOR_INT32, {2}, 0.25f, 0);
  OperandType type2(Type::INT32, {});
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {1, 1, 1, 2}, 1.0f, 0);
  // Phase 1, operands
  auto op1 = model->addOperand(&type0);
  auto op2 = model->addOperand(&type0);
  auto op3 = model->addOperand(&type1);
  auto pad0 = model->addOperand(&type2);
  auto stride = model->addOperand(&type2);
  auto channelMultiplier = model->addOperand(&type2);
  auto act = model->addOperand(&type2);
  auto op4 = model->addOperand(&type3);
  // Phase 2, operations
  static int32_t pad0_init[] = {0};
  model->setOperandValue(pad0, pad0_init, sizeof(int32_t) * 1);
  static int32_t stride_init[] = {1};
  model->setOperandValue(stride, stride_init, sizeof(int32_t) * 1);
  static int32_t channelMultiplier_init[] = {1};
  model->setOperandValue(channelMultiplier, channelMultiplier_init, sizeof(int32_t) * 1);
  static int32_t act_init[] = {0};
  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
  model->addOperation(ANEURALNETWORKS_DEPTHWISE_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, channelMultiplier, act}, {op4});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {op1, op2, op3},
    {op4});
  assert(model->isValid());
}

bool is_ignored(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

std::vector<MixedTypedExample> examples = {
// Begin of an example
{
//Input(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
  // int -> FLOAT32 map
  {},
  // int -> INT32 map
  {{2, {0, 0}}},
  // int -> QUANT8_ASYMM map
  {{0, {4, 16, 4, 32, 4, 64, 4, 128}}, {1, {2, 4, 2, 0, 2, 2, 2, 0}}}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
  // int -> FLOAT32 map
  {},
  // int -> INT32 map
  {},
  // int -> QUANT8_ASYMM map
  {{0, {8, 48}}}
}
}, // End of an example
};

TEST_F(GeneratedTests, depthwise_conv2d_quant8) {
    execute(depthwise_conv2d_quant8::CreateModel,
            depthwise_conv2d_quant8::is_ignored,
            depthwise_conv2d_quant8::examples);
}

#include "../generated/tests/depthwise_conv2d_quant8.mod.py.cpp"