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

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

namespace generated_tests::cast {

void CreateModel(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output0 = model->addOperand(&type0);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {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::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  OperandType type8(Type::TENSOR_FLOAT16, {0, 0});
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output0 = model->addOperand(&type8);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {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::cast
namespace generated_tests::cast {

void CreateModel_2(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output01 = model->addOperand(&type1);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input0}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output01});
  assert(model->isValid());
}

bool is_ignored_2(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_relaxed(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output01 = model->addOperand(&type1);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input0}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output01});
  // 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::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_2(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  OperandType type9(Type::TENSOR_FLOAT32, {0, 0});
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output01 = model->addOperand(&type9);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input0}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output01});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_2(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_relaxed(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  OperandType type9(Type::TENSOR_FLOAT32, {0, 0});
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output01 = model->addOperand(&type9);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input0}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output01});
  // 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::cast
namespace generated_tests::cast {

void CreateModel_3(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output02 = model->addOperand(&type2);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input0}, {output02});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output02});
  assert(model->isValid());
}

bool is_ignored_3(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_3(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  OperandType type10(Type::TENSOR_INT32, {0, 0});
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output02 = model->addOperand(&type10);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input0}, {output02});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output02});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_3(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_4(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output03 = model->addOperand(&type3);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input0}, {output03});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output03});
  assert(model->isValid());
}

bool is_ignored_4(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_4(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  OperandType type11(Type::TENSOR_QUANT8_ASYMM, {0, 0}, 4.0f, 100);
  // Phase 1, operands
  auto input0 = model->addOperand(&type0);
  auto output03 = model->addOperand(&type11);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input0}, {output03});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input0},
    {output03});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_4(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_5(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output0 = model->addOperand(&type0);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output0});
  assert(model->isValid());
}

bool is_ignored_5(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_relaxed_2(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output0 = model->addOperand(&type0);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output0});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_relaxed_2(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_5(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type8(Type::TENSOR_FLOAT16, {0, 0});
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output0 = model->addOperand(&type8);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output0});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_5(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_relaxed_2(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type8(Type::TENSOR_FLOAT16, {0, 0});
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output0 = model->addOperand(&type8);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output0});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_relaxed_2(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_6(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output01 = model->addOperand(&type1);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output01});
  assert(model->isValid());
}

bool is_ignored_6(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_relaxed_3(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output01 = model->addOperand(&type1);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output01});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_relaxed_3(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_6(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type9(Type::TENSOR_FLOAT32, {0, 0});
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output01 = model->addOperand(&type9);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output01});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_6(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_relaxed_3(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type9(Type::TENSOR_FLOAT32, {0, 0});
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output01 = model->addOperand(&type9);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output01});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_relaxed_3(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_7(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output02 = model->addOperand(&type2);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output02});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output02});
  assert(model->isValid());
}

bool is_ignored_7(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_relaxed_4(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output02 = model->addOperand(&type2);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output02});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output02});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_relaxed_4(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_7(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type10(Type::TENSOR_INT32, {0, 0});
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output02 = model->addOperand(&type10);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output02});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output02});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_7(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_relaxed_4(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type10(Type::TENSOR_INT32, {0, 0});
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output02 = model->addOperand(&type10);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output02});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output02});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_relaxed_4(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_8(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output03 = model->addOperand(&type3);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output03});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output03});
  assert(model->isValid());
}

bool is_ignored_8(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_relaxed_5(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output03 = model->addOperand(&type3);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output03});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output03});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_relaxed_5(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_8(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type11(Type::TENSOR_QUANT8_ASYMM, {0, 0}, 4.0f, 100);
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output03 = model->addOperand(&type11);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output03});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output03});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_8(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_relaxed_5(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type11(Type::TENSOR_QUANT8_ASYMM, {0, 0}, 4.0f, 100);
  // Phase 1, operands
  auto input01 = model->addOperand(&type1);
  auto output03 = model->addOperand(&type11);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input01}, {output03});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input01},
    {output03});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_relaxed_5(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_9(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  // Phase 1, operands
  auto input02 = model->addOperand(&type2);
  auto output0 = model->addOperand(&type0);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input02}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input02},
    {output0});
  assert(model->isValid());
}

bool is_ignored_9(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_9(Model *model) {
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  OperandType type8(Type::TENSOR_FLOAT16, {0, 0});
  // Phase 1, operands
  auto input02 = model->addOperand(&type2);
  auto output0 = model->addOperand(&type8);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input02}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input02},
    {output0});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_9(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_10(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  // Phase 1, operands
  auto input02 = model->addOperand(&type2);
  auto output01 = model->addOperand(&type1);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input02}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input02},
    {output01});
  assert(model->isValid());
}

bool is_ignored_10(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_relaxed_6(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  // Phase 1, operands
  auto input02 = model->addOperand(&type2);
  auto output01 = model->addOperand(&type1);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input02}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input02},
    {output01});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_relaxed_6(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_10(Model *model) {
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  OperandType type9(Type::TENSOR_FLOAT32, {0, 0});
  // Phase 1, operands
  auto input02 = model->addOperand(&type2);
  auto output01 = model->addOperand(&type9);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input02}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input02},
    {output01});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_10(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_relaxed_6(Model *model) {
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  OperandType type9(Type::TENSOR_FLOAT32, {0, 0});
  // Phase 1, operands
  auto input02 = model->addOperand(&type2);
  auto output01 = model->addOperand(&type9);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input02}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input02},
    {output01});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_relaxed_6(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_11(Model *model) {
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  // Phase 1, operands
  auto input02 = model->addOperand(&type2);
  auto output02 = model->addOperand(&type2);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input02}, {output02});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input02},
    {output02});
  assert(model->isValid());
}

bool is_ignored_11(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_11(Model *model) {
  OperandType type10(Type::TENSOR_INT32, {0, 0});
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  // Phase 1, operands
  auto input02 = model->addOperand(&type2);
  auto output02 = model->addOperand(&type10);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input02}, {output02});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input02},
    {output02});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_11(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_12(Model *model) {
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  // Phase 1, operands
  auto input02 = model->addOperand(&type2);
  auto output03 = model->addOperand(&type3);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input02}, {output03});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input02},
    {output03});
  assert(model->isValid());
}

bool is_ignored_12(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_12(Model *model) {
  OperandType type11(Type::TENSOR_QUANT8_ASYMM, {0, 0}, 4.0f, 100);
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  // Phase 1, operands
  auto input02 = model->addOperand(&type2);
  auto output03 = model->addOperand(&type11);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input02}, {output03});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input02},
    {output03});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_12(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_13(Model *model) {
  OperandType type0(Type::TENSOR_FLOAT16, {2, 3});
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  // Phase 1, operands
  auto input03 = model->addOperand(&type3);
  auto output0 = model->addOperand(&type0);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input03}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input03},
    {output0});
  assert(model->isValid());
}

bool is_ignored_13(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_13(Model *model) {
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  OperandType type8(Type::TENSOR_FLOAT16, {0, 0});
  // Phase 1, operands
  auto input03 = model->addOperand(&type3);
  auto output0 = model->addOperand(&type8);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input03}, {output0});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input03},
    {output0});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_13(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_14(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  // Phase 1, operands
  auto input03 = model->addOperand(&type3);
  auto output01 = model->addOperand(&type1);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input03}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input03},
    {output01});
  assert(model->isValid());
}

bool is_ignored_14(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_relaxed_7(Model *model) {
  OperandType type1(Type::TENSOR_FLOAT32, {2, 3});
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  // Phase 1, operands
  auto input03 = model->addOperand(&type3);
  auto output01 = model->addOperand(&type1);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input03}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input03},
    {output01});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_relaxed_7(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_14(Model *model) {
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  OperandType type9(Type::TENSOR_FLOAT32, {0, 0});
  // Phase 1, operands
  auto input03 = model->addOperand(&type3);
  auto output01 = model->addOperand(&type9);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input03}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input03},
    {output01});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_14(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_relaxed_7(Model *model) {
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  OperandType type9(Type::TENSOR_FLOAT32, {0, 0});
  // Phase 1, operands
  auto input03 = model->addOperand(&type3);
  auto output01 = model->addOperand(&type9);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input03}, {output01});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input03},
    {output01});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_relaxed_7(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_15(Model *model) {
  OperandType type2(Type::TENSOR_INT32, {2, 3});
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  // Phase 1, operands
  auto input03 = model->addOperand(&type3);
  auto output02 = model->addOperand(&type2);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input03}, {output02});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input03},
    {output02});
  assert(model->isValid());
}

bool is_ignored_15(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_15(Model *model) {
  OperandType type10(Type::TENSOR_INT32, {0, 0});
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  // Phase 1, operands
  auto input03 = model->addOperand(&type3);
  auto output02 = model->addOperand(&type10);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input03}, {output02});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input03},
    {output02});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_15(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_16(Model *model) {
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  // Phase 1, operands
  auto input03 = model->addOperand(&type3);
  auto output03 = model->addOperand(&type3);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input03}, {output03});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input03},
    {output03});
  assert(model->isValid());
}

bool is_ignored_16(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_16(Model *model) {
  OperandType type11(Type::TENSOR_QUANT8_ASYMM, {0, 0}, 4.0f, 100);
  OperandType type3(Type::TENSOR_QUANT8_ASYMM, {2, 3}, 4.0f, 100);
  // Phase 1, operands
  auto input03 = model->addOperand(&type3);
  auto output03 = model->addOperand(&type11);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input03}, {output03});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input03},
    {output03});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_16(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_17(Model *model) {
  OperandType type4(Type::TENSOR_FLOAT16, {2});
  OperandType type7(Type::TENSOR_QUANT8_ASYMM, {2}, 4.0f, 100);
  // Phase 1, operands
  auto input04 = model->addOperand(&type4);
  auto output04 = model->addOperand(&type7);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input04}, {output04});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input04},
    {output04});
  assert(model->isValid());
}

bool is_ignored_17(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_17(Model *model) {
  OperandType type12(Type::TENSOR_QUANT8_ASYMM, {0}, 4.0f, 100);
  OperandType type4(Type::TENSOR_FLOAT16, {2});
  // Phase 1, operands
  auto input04 = model->addOperand(&type4);
  auto output04 = model->addOperand(&type12);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input04}, {output04});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input04},
    {output04});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_17(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_18(Model *model) {
  OperandType type5(Type::TENSOR_FLOAT32, {2});
  OperandType type7(Type::TENSOR_QUANT8_ASYMM, {2}, 4.0f, 100);
  // Phase 1, operands
  auto input05 = model->addOperand(&type5);
  auto output05 = model->addOperand(&type7);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input05}, {output05});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input05},
    {output05});
  assert(model->isValid());
}

bool is_ignored_18(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_relaxed_8(Model *model) {
  OperandType type5(Type::TENSOR_FLOAT32, {2});
  OperandType type7(Type::TENSOR_QUANT8_ASYMM, {2}, 4.0f, 100);
  // Phase 1, operands
  auto input05 = model->addOperand(&type5);
  auto output05 = model->addOperand(&type7);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input05}, {output05});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input05},
    {output05});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_relaxed_8(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_18(Model *model) {
  OperandType type12(Type::TENSOR_QUANT8_ASYMM, {0}, 4.0f, 100);
  OperandType type5(Type::TENSOR_FLOAT32, {2});
  // Phase 1, operands
  auto input05 = model->addOperand(&type5);
  auto output05 = model->addOperand(&type12);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input05}, {output05});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input05},
    {output05});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_18(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_relaxed_8(Model *model) {
  OperandType type12(Type::TENSOR_QUANT8_ASYMM, {0}, 4.0f, 100);
  OperandType type5(Type::TENSOR_FLOAT32, {2});
  // Phase 1, operands
  auto input05 = model->addOperand(&type5);
  auto output05 = model->addOperand(&type12);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input05}, {output05});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input05},
    {output05});
  // Phase 4: set relaxed execution
  model->relaxComputationFloat32toFloat16(true);
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_relaxed_8(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_19(Model *model) {
  OperandType type6(Type::TENSOR_INT32, {2});
  OperandType type7(Type::TENSOR_QUANT8_ASYMM, {2}, 4.0f, 100);
  // Phase 1, operands
  auto input06 = model->addOperand(&type6);
  auto output06 = model->addOperand(&type7);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input06}, {output06});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input06},
    {output06});
  assert(model->isValid());
}

bool is_ignored_19(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast
namespace generated_tests::cast {

void CreateModel_dynamic_output_shape_19(Model *model) {
  OperandType type12(Type::TENSOR_QUANT8_ASYMM, {0}, 4.0f, 100);
  OperandType type6(Type::TENSOR_INT32, {2});
  // Phase 1, operands
  auto input06 = model->addOperand(&type6);
  auto output06 = model->addOperand(&type12);
  // Phase 2, operations
  model->addOperation(ANEURALNETWORKS_CAST, {input06}, {output06});
  // Phase 3, inputs and outputs
  model->identifyInputsAndOutputs(
    {input06},
    {output06});
  assert(model->isValid());
}

bool is_ignored_dynamic_output_shape_19(int i) {
  static std::set<int> ignore = {};
  return ignore.find(i) != ignore.end();
}

} // namespace generated_tests::cast