runtime/test/generated/models/neg.model.cpp

// Generated from neg.mod.py
// DO NOT EDIT
// clang-format off
#include "TestGenerated.h"

namespace generated_tests::neg {

void CreateModel(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 4, 5});
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output0 = model->addOperand(&type0);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_NEG, {input0}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output0});
  assert(model->isValid());
}

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

} // namespace generated_tests::neg
namespace generated_tests::neg {

void CreateModel_relaxed(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 4, 5});
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output0 = model->addOperand(&type0);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_NEG, {input0}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output0});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

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

} // namespace generated_tests::neg
namespace generated_tests::neg {

void CreateModel_float16(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT16, {1, 2, 3, 4, 5});
  // Phase 1, operands
  auto input0 = model->addOperand(&type1);
  auto output0 = model->addOperand(&type1);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_NEG, {input0}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output0});
  assert(model->isValid());
}

bool is_ignored_float16(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::neg
namespace generated_tests::neg {

void CreateModel_int32(Model *model) {
  OperandType type2(Type::TENSOR_INT32, {1, 2, 3, 4, 5});
  // Phase 1, operands
  auto input0 = model->addOperand(&type2);
  auto output0 = model->addOperand(&type2);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_NEG, {input0}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output0});
  assert(model->isValid());
}

bool is_ignored_int32(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::neg
namespace generated_tests::neg {

void CreateModel_dynamic_output_shape(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 4, 5});
  OperandType type3(Type::TENSOR_FLOAT32, {0, 0, 0, 0, 0});
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output0 = model->addOperand(&type3);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_NEG, {input0}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output0});
  assert(model->isValid());
}

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

} // namespace generated_tests::neg
namespace generated_tests::neg {

void CreateModel_dynamic_output_shape_relaxed(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT32, {1, 2, 3, 4, 5});
  OperandType type3(Type::TENSOR_FLOAT32, {0, 0, 0, 0, 0});
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output0 = model->addOperand(&type3);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_NEG, {input0}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output0});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

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

} // namespace generated_tests::neg
namespace generated_tests::neg {

void CreateModel_dynamic_output_shape_float16(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT16, {1, 2, 3, 4, 5});
  OperandType type4(Type::TENSOR_FLOAT16, {0, 0, 0, 0, 0});
  // Phase 1, operands
  auto input0 = model->addOperand(&type1);
  auto output0 = model->addOperand(&type4);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_NEG, {input0}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output0});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_float16(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::neg
namespace generated_tests::neg {

void CreateModel_dynamic_output_shape_int32(Model *model) {
  OperandType type2(Type::TENSOR_INT32, {1, 2, 3, 4, 5});
  OperandType type5(Type::TENSOR_INT32, {0, 0, 0, 0, 0});
  // Phase 1, operands
  auto input0 = model->addOperand(&type2);
  auto output0 = model->addOperand(&type5);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_NEG, {input0}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output0});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_int32(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::neg