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

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

void CreateModel(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT32, {1, 3, 3, 1});
  OperandType type1(Type::TENSOR_FLOAT32, {1, 2, 2, 1});
  OperandType type2(Type::TENSOR_FLOAT32, {1});
  OperandType type3(Type::INT32, {});
  // Phase 1, operands
  auto op1 = model->addOperand(&type0);
  auto op2 = model->addOperand(&type1);
  auto op3 = model->addOperand(&type2);
  auto pad0 = model->addOperand(&type3);
  auto stride = model->addOperand(&type3);
  auto act = model->addOperand(&type3);
  auto op4 = model->addOperand(&type1);
  // Phase 2, operations
  static float op2_init[] = {0.25f, 0.25f, 0.25f, 0.25f};
  model->setOperandValue(op2, op2_init, sizeof(float) * 4);
  static float op3_init[] = {0.0f};
  model->setOperandValue(op3, op3_init, sizeof(float) * 1);
  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 act_init[] = {0};
  model->setOperandValue(act, act_init, sizeof(int32_t) * 1);
  model->addOperation(ANEURALNETWORKS_CONV_2D, {op1, op2, op3, pad0, pad0, pad0, pad0, stride, stride, act}, {op4});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {op1},
    {op4});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  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
  {{0, {1.0f, 1.0f, 1.0f, 1.0f, 0.5f, 1.0f, 1.0f, 1.0f, 1.0f}}},
  // int -> INT32 map
  {},
  // int -> QUANT8_ASYMM map
  {}
},
//Output(s)
{ // See tools/test_generator/include/TestHarness.h:MixedTyped
  // int -> FLOAT32 map
  {{0, {0.875f, 0.875f, 0.875f, 0.875f}}},
  // int -> INT32 map
  {},
  // int -> QUANT8_ASYMM map
  {}
}
}, // End of an example
};

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

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