compute_kernel_writer/validation/tests/CLTensorArgumentTest.h - ml/ComputeLibrary - Gitiles

 /*
  * Copyright (c) 2023 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
  * Permission is hereby granted, free of charge, to any person obtaining a copy
  * of this software and associated documentation files (the "Software"), to
  * deal in the Software without restriction, including without limitation the
  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
  * sell copies of the Software, and to permit persons to whom the Software is
  * furnished to do so, subject to the following conditions:
  *
  * The above copyright notice and this permission notice shall be included in all
  * copies or substantial portions of the Software.
  *
  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  * SOFTWARE.
  */

 #ifndef CKW_VALIDATION_TESTS_CLTENSORARGUMENTTEST_H
 #define CKW_VALIDATION_TESTS_CLTENSORARGUMENTTEST_H

 #include "common/Common.h"
 #include "src/cl/CLHelpers.h"
 #include "src/cl/CLTensorArgument.h"
 #include "src/cl/CLTensorComponent.h"

 #include <string>
 #include <vector>

 namespace ckw
 {
 class CLTensorArgumentComponentNamesTest : public ITest
 {
 public:
     const DataType    dt          = DataType::Fp32;
     const TensorShape shape       = TensorShape({ { 12, 14, 3, 1, 2 } });
     const std::string tensor_name = "src";

     CLTensorArgumentComponentNamesTest()
     {
         _components.push_back(TensorComponentType::Dim0);
         _components.push_back(TensorComponentType::Dim1);
         _components.push_back(TensorComponentType::Dim2);
         _components.push_back(TensorComponentType::Dim3);
         _components.push_back(TensorComponentType::Dim4);
         _components.push_back(TensorComponentType::Dim1xDim2);
         _components.push_back(TensorComponentType::Dim2xDim3);
         _components.push_back(TensorComponentType::OffsetFirstElement);
         _components.push_back(TensorComponentType::Stride0);
         _components.push_back(TensorComponentType::Stride1);
         _components.push_back(TensorComponentType::Stride2);
         _components.push_back(TensorComponentType::Stride3);
         _components.push_back(TensorComponentType::Stride4);

         _expected_vars.push_back("src_dim0");
         _expected_vars.push_back("src_dim1");
         _expected_vars.push_back("src_dim2");
         _expected_vars.push_back("src_dim3");
         _expected_vars.push_back("src_dim4");
         _expected_vars.push_back("src_dim1xdim2");
         _expected_vars.push_back("src_dim2xdim3");
         _expected_vars.push_back("src_offset_first_element");
         _expected_vars.push_back("src_stride0");
         _expected_vars.push_back("src_stride1");
         _expected_vars.push_back("src_stride2");
         _expected_vars.push_back("src_stride3");
         _expected_vars.push_back("src_stride4");
     }

     bool run() override
     {
         VALIDATE_ON_MSG(_components.size() == _expected_vars.size(), "The number of components and variables does not match");

         // The status of this variable can change in VALIDATE_TEST()
         bool all_tests_passed = true;

         const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

         const size_t num_tests = _expected_vars.size();

         int32_t test_idx = 0;
         for(size_t i = 0; i < num_tests; ++i)
         {
             CLTensorArgument arg(tensor_name, info, false /* return_dims_by_value */);

             const std::string expected_var_name = _expected_vars[i];
             const std::string actual_var_name   = arg.component(_components[i]).name();

             VALIDATE_TEST(actual_var_name.compare(expected_var_name) == 0, all_tests_passed, test_idx++);
         }
         return all_tests_passed;
     }

     std::string name() override
     {
         return "CLTensorArgumentVariableNamesTest";
     }

 private:
     std::vector<TensorComponentType> _components{};
     std::vector<std::string>         _expected_vars{};
 };

 class CLTensorArgumentStorageNamesTest : public ITest
 {
 public:
     const DataType    dt          = DataType::Fp32;
     const TensorShape shape       = TensorShape({ { 12, 14, 3, 1, 2 } });
     const std::string tensor_name = "src";

     CLTensorArgumentStorageNamesTest()
     {
         _storages.push_back(TensorStorageType::BufferUint8Ptr);
         _storages.push_back(TensorStorageType::Texture2dReadOnly);
         _storages.push_back(TensorStorageType::Texture2dWriteOnly);

         _expected_vars.push_back("src_ptr");
         _expected_vars.push_back("src_img2d");
         _expected_vars.push_back("src_img2d");
     }

     bool run() override
     {
         VALIDATE_ON_MSG(_storages.size() == _expected_vars.size(), "The number of storages and variables does not match");

         // The status of this variable can change in VALIDATE_TEST()
         bool all_tests_passed = true;

         const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

         const size_t num_tests = _expected_vars.size();

         int32_t test_idx = 0;
         for(size_t i = 0; i < num_tests; ++i)
         {
             CLTensorArgument arg(tensor_name, info, false /* return_dims_by_value */);

             const std::string expected_var_name = _expected_vars[i];
             const std::string actual_var_name   = arg.storage(_storages[i]).val;

             VALIDATE_TEST(actual_var_name.compare(expected_var_name) == 0, all_tests_passed, test_idx++);
         }
         return all_tests_passed;
     }

     std::string name() override
     {
         return "CLTensorArgumentStorageNamesTest";
     }

 private:
     std::vector<TensorStorageType> _storages{};
     std::vector<std::string>       _expected_vars{};
 };

 class CLTensorArgumentComponentValuesTest : public ITest
 {
 public:
     const DataType    dt          = DataType::Fp32;
     const TensorShape shape       = TensorShape({ { 12, 14, 3, 1, 2 } });
     const std::string tensor_name = "src";

     CLTensorArgumentComponentValuesTest()
     {
         _components.push_back(TensorComponentType::Dim0);
         _components.push_back(TensorComponentType::Dim1);
         _components.push_back(TensorComponentType::Dim2);
         _components.push_back(TensorComponentType::Dim3);
         _components.push_back(TensorComponentType::Dim4);
         _components.push_back(TensorComponentType::Dim1xDim2);
         _components.push_back(TensorComponentType::Dim2xDim3);

         _expected_vals.push_back(std::to_string(shape[0]));
         _expected_vals.push_back(std::to_string(shape[1]));
         _expected_vals.push_back(std::to_string(shape[2]));
         _expected_vals.push_back(std::to_string(shape[3]));
         _expected_vals.push_back(std::to_string(shape[4]));
         _expected_vals.push_back(std::to_string(shape[1] * shape[2]));
         _expected_vals.push_back(std::to_string(shape[2] * shape[3]));
     }

     bool run() override
     {
         VALIDATE_ON_MSG(_components.size() == _expected_vals.size(), "The number of components and values does not match");

         // The status of this variable can change in VALIDATE_TEST()
         bool all_tests_passed = true;

         const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

         const size_t num_tests = _expected_vals.size();

         int32_t test_idx = 0;
         for(size_t i = 0; i < num_tests; ++i)
         {
             CLTensorArgument arg(tensor_name, info, true /* return_dims_by_value */);

             const std::string expected_var_val = std::string("((int)(") + _expected_vals[i] + "))";
             const std::string actual_var_val   = arg.cl_component(_components[i]).scalar(0, 0).str;

             VALIDATE_TEST(actual_var_val.compare(expected_var_val) == 0, all_tests_passed, test_idx++);
         }
         return all_tests_passed;
     }

     std::string name() override
     {
         return "CLTensorArgumentComponentValuesTest";
     }

 private:
     std::vector<TensorComponentType> _components{};
     std::vector<std::string>         _expected_vals{};
 };

 class CLTensorArgumentComponentsUsedPassByValueFalseTest : public ITest
 {
 public:
     const DataType    dt          = DataType::Fp32;
     const TensorShape shape       = TensorShape({ { 12, 14, 3, 1, 2 } });
     const std::string tensor_name = "src";

     CLTensorArgumentComponentsUsedPassByValueFalseTest()
     {
         _components.push_back(TensorComponentType::Dim0);
         _components.push_back(TensorComponentType::Dim2);
         _components.push_back(TensorComponentType::Dim3);
         _components.push_back(TensorComponentType::Dim1xDim2);
         _components.push_back(TensorComponentType::OffsetFirstElement);
         _components.push_back(TensorComponentType::Stride1);
         _components.push_back(TensorComponentType::Stride2);
         _components.push_back(TensorComponentType::Stride3);
         _components.push_back(TensorComponentType::Dim0); // Repeat the query. The TensorArgument should not create a new variable
         _components.push_back(TensorComponentType::Dim2); // Repeat the query. The TensorArgument should not create a new variable
         _components.push_back(TensorComponentType::Dim3); // Repeat the query. The TensorArgument should not create a new variable

         _expected_vars.push_back("src_dim0");
         _expected_vars.push_back("src_dim2");
         _expected_vars.push_back("src_dim3");
         _expected_vars.push_back("src_dim1xdim2");
         _expected_vars.push_back("src_offset_first_element");
         _expected_vars.push_back("src_stride1");
         _expected_vars.push_back("src_stride2");
         _expected_vars.push_back("src_stride3");
     }

     bool run() override
     {
         // The status of this variable can change in VALIDATE_TEST()
         bool all_tests_passed = true;

         const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

         const size_t num_components = _components.size();

         int32_t test_idx = 0;

         CLTensorArgument arg(tensor_name, info, false /* return_dims_by_value */);
         for(size_t i = 0; i < num_components; ++i)
         {
             arg.component(_components[i]);
         }

         const auto actual_vars = arg.components();

         const size_t num_vars = _expected_vars.size();

         VALIDATE_ON_MSG(actual_vars.size() == num_vars, "The number of variables must match the number of expected variables");

         for(size_t i = 0; i < num_vars; ++i)
         {
             // Validate variable name
             const std::string expected_var_name = _expected_vars[i];
             const std::string actual_var_name   = actual_vars[i]->tile().name();
             VALIDATE_TEST(actual_var_name.compare(expected_var_name) == 0, all_tests_passed, test_idx++);

             // Validate data type
             const DataType expected_var_type = DataType::Int32;
             const DataType actual_var_type   = actual_vars[i]->tile().info().data_type();
             VALIDATE_TEST(actual_var_type == expected_var_type, all_tests_passed, test_idx++);

             // Validate tile shape
             const int32_t actual_var_width  = actual_vars[i]->tile().info().width();
             const int32_t actual_var_height = actual_vars[i]->tile().info().height();

             VALIDATE_TEST(actual_var_height == 1, all_tests_passed, test_idx++);
             VALIDATE_TEST(actual_var_width == 1, all_tests_passed, test_idx++);
         }
         return all_tests_passed;
     }

     std::string name() override
     {
         return "CLTensorArgumentComponentsUsedPassByValueFalseTest";
     }

 private:
     std::vector<TensorComponentType> _components{};
     std::vector<std::string>         _expected_vars{};
 };

 class CLTensorArgumentComponentsUsedPassByValueTrueTest : public ITest
 {
 public:
     const DataType    dt          = DataType::Fp32;
     const TensorShape shape       = TensorShape({ { 12, 14, 3, 1, 2 } });
     const std::string tensor_name = "src";

     CLTensorArgumentComponentsUsedPassByValueTrueTest()
     {
         _components.push_back(TensorComponentType::Dim0);
         _components.push_back(TensorComponentType::Dim2);
         _components.push_back(TensorComponentType::Dim3);
         _components.push_back(TensorComponentType::Dim1xDim2);
         _components.push_back(TensorComponentType::OffsetFirstElement);
         _components.push_back(TensorComponentType::Stride1);
         _components.push_back(TensorComponentType::Stride2);
         _components.push_back(TensorComponentType::Stride3);
         _components.push_back(TensorComponentType::OffsetFirstElement); // Repeat the query. The TensorArgument should not create a new variable
         _components.push_back(TensorComponentType::Stride1);            // Repeat the query. The TensorArgument should not create a new variable

         _expected_vars.push_back("src_offset_first_element");
         _expected_vars.push_back("src_stride1");
         _expected_vars.push_back("src_stride2");
         _expected_vars.push_back("src_stride3");
     }

     bool run() override
     {
         // The status of this variable can change in VALIDATE_TEST()
         bool all_tests_passed = true;

         const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

         const size_t num_components = _components.size();

         int32_t test_idx = 0;

         CLTensorArgument arg(tensor_name, info, true /* return_dims_by_value */);
         for(size_t i = 0; i < num_components; ++i)
         {
             arg.component(_components[i]);
         }

         const auto actual_vars = arg.components();

         const size_t num_vars = _expected_vars.size();

         VALIDATE_ON_MSG(actual_vars.size() == num_vars, "The number of variables must match the number of expected variables");

         // Since the dimensions are passed by value, we expect only the variables for the strides
         for(size_t i = 0; i < num_vars; ++i)
         {
             // Validate variable name
             const std::string expected_var_name = _expected_vars[i];
             const std::string actual_var_name   = actual_vars[i]->tile().name();
             VALIDATE_TEST(actual_var_name.compare(expected_var_name) == 0, all_tests_passed, test_idx++);

             // Validate data type
             const DataType expected_var_type = DataType::Int32;
             const DataType actual_var_type   = actual_vars[i]->tile().info().data_type();
             VALIDATE_TEST(actual_var_type == expected_var_type, all_tests_passed, test_idx++);

             // Validate tile shape
             const int32_t actual_var_width  = actual_vars[i]->tile().info().width();
             const int32_t actual_var_height = actual_vars[i]->tile().info().height();

             VALIDATE_TEST(actual_var_height == 1, all_tests_passed, test_idx++);
             VALIDATE_TEST(actual_var_width == 1, all_tests_passed, test_idx++);
         }
         return all_tests_passed;
     }

     std::string name() override
     {
         return "CLTensorArgumentComponentsUsedPassByValueTrueTest";
     }

 private:
     std::vector<TensorComponentType> _components{};
     std::vector<std::string>         _expected_vars{};
 };

 class CLTensorArgumentStoragesUsedTest : public ITest
 {
 public:
     const DataType    dt          = DataType::Fp32;
     const TensorShape shape       = TensorShape({ { 12, 14, 3, 1, 2 } });
     const std::string tensor_name = "src";

     CLTensorArgumentStoragesUsedTest()
     {
         _storages.push_back(TensorStorageType::BufferUint8Ptr);
         _storages.push_back(TensorStorageType::Texture2dReadOnly);
         _storages.push_back(TensorStorageType::BufferUint8Ptr); // Repeat the query. The TensorArgument should not create a new variable

         _expected_vars.push_back("src_ptr");
         _expected_vars.push_back("src_img2d");
     }

     bool run() override
     {
         // The status of this variable can change in VALIDATE_TEST()
         bool all_tests_passed = true;

         const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

         const size_t num_storages = _storages.size();

         int32_t test_idx = 0;

         CLTensorArgument arg(tensor_name, info, true /* return_dims_by_value */);
         for(size_t i = 0; i < num_storages; ++i)
         {
             arg.storage(_storages[i]);
         }

         const auto actual_vars = arg.storages();

         const size_t num_vars = _expected_vars.size();

         VALIDATE_ON_MSG(actual_vars.size() == num_vars, "The number of variables must match the number of expected variables");

         for(size_t i = 0; i < num_vars; ++i)
         {
             // Validate variable name
             const std::string expected_var_name = _expected_vars[i];
             const std::string actual_var_name   = actual_vars[i].val;
             VALIDATE_TEST(actual_var_name.compare(expected_var_name) == 0, all_tests_passed, test_idx++);

             // Validate storage type
             const auto expected_var_type = _storages[i];
             const auto actual_var_type   = actual_vars[i].type;
             VALIDATE_TEST(actual_var_type == expected_var_type, all_tests_passed, test_idx++);
         }
         return all_tests_passed;
     }

     std::string name() override
     {
         return "CLTensorArgumentStoragesUsedTest";
     }

 private:
     std::vector<TensorStorageType> _storages{};
     std::vector<std::string>       _expected_vars{};
 };

 class CLTensorArgumentComponentsUsedPassByValueTrueDynamicDimTrueTest : public ITest
 {
 public:
     const DataType    dt          = DataType::Fp32;
     const TensorShape shape       = TensorShape({ { -1, -1, 3, 1, 2 } });
     const std::string tensor_name = "src";

     CLTensorArgumentComponentsUsedPassByValueTrueDynamicDimTrueTest()
     {
         _components.push_back(TensorComponentType::Dim0);
         _components.push_back(TensorComponentType::Dim2);
         _components.push_back(TensorComponentType::Dim3);
         _components.push_back(TensorComponentType::Dim1xDim2);
         _components.push_back(TensorComponentType::OffsetFirstElement);
         _components.push_back(TensorComponentType::Stride1);
         _components.push_back(TensorComponentType::Stride2);
         _components.push_back(TensorComponentType::Stride3);
         _components.push_back(TensorComponentType::OffsetFirstElement); // Repeat the query. The TensorArgument should not create a new variable
         _components.push_back(TensorComponentType::Stride1);            // Repeat the query. The TensorArgument should not create a new variable

         _expected_vars.push_back("src_dim0");
         _expected_vars.push_back("src_dim1xdim2");
         _expected_vars.push_back("src_offset_first_element");
         _expected_vars.push_back("src_stride1");
         _expected_vars.push_back("src_stride2");
         _expected_vars.push_back("src_stride3");
     }

     bool run() override
     {
         // The status of this variable can change in VALIDATE_TEST()
         bool all_tests_passed = true;

         const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

         const size_t num_components = _components.size();

         int32_t test_idx = 0;

         CLTensorArgument arg(tensor_name, info, true /* return_dims_by_value */);
         for(size_t i = 0; i < num_components; ++i)
         {
             arg.component(_components[i]);
         }

         const auto actual_vars = arg.components();

         const size_t num_vars = _expected_vars.size();

         VALIDATE_ON_MSG(actual_vars.size() == num_vars, "The number of variables must match the number of expected variables");

         // Since the dimensions are passed by value, we expect only the variables for the strides
         for(size_t i = 0; i < num_vars; ++i)
         {
             // Validate variable name
             const std::string expected_var_name = _expected_vars[i];
             const std::string actual_var_name   = actual_vars[i]->tile().name();
             VALIDATE_TEST(actual_var_name.compare(expected_var_name) == 0, all_tests_passed, test_idx++);

             // Validate data type
             const DataType expected_var_type = DataType::Int32;
             const DataType actual_var_type   = actual_vars[i]->tile().info().data_type();
             VALIDATE_TEST(actual_var_type == expected_var_type, all_tests_passed, test_idx++);

             // Validate tile shape
             const int32_t actual_var_width  = actual_vars[i]->tile().info().width();
             const int32_t actual_var_height = actual_vars[i]->tile().info().height();

             VALIDATE_TEST(actual_var_height == 1, all_tests_passed, test_idx++);
             VALIDATE_TEST(actual_var_width == 1, all_tests_passed, test_idx++);
         }
         return all_tests_passed;
     }

     std::string name() override
     {
         return "CLTensorArgumentComponentsUsedPassByValueTrueDynamicDimTrueTest";
     }

 private:
     std::vector<TensorComponentType> _components{};
     std::vector<std::string>         _expected_vars{};
 };
 } // namespace ckw

 #endif // CKW_VALIDATION_TESTS_CLTENSORARGUMENTTEST_H
	/*
	* Copyright (c) 2023 Arm Limited.
	*
	* SPDX-License-Identifier: MIT
	*
	* Permission is hereby granted, free of charge, to any person obtaining a copy
	* of this software and associated documentation files (the "Software"), to
	* deal in the Software without restriction, including without limitation the
	* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
	* sell copies of the Software, and to permit persons to whom the Software is
	* furnished to do so, subject to the following conditions:
	*
	* The above copyright notice and this permission notice shall be included in all
	* copies or substantial portions of the Software.
	*
	* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
	* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
	* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
	* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
	* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
	* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
	* SOFTWARE.
	*/

	#ifndef CKW_VALIDATION_TESTS_CLTENSORARGUMENTTEST_H
	#define CKW_VALIDATION_TESTS_CLTENSORARGUMENTTEST_H

	#include "common/Common.h"
	#include "src/cl/CLHelpers.h"
	#include "src/cl/CLTensorArgument.h"
	#include "src/cl/CLTensorComponent.h"

	#include <string>
	#include <vector>

	namespace ckw
	{
	class CLTensorArgumentComponentNamesTest : public ITest
	{
	public:
	const DataType dt = DataType::Fp32;
	const TensorShape shape = TensorShape({ { 12, 14, 3, 1, 2 } });
	const std::string tensor_name = "src";

	CLTensorArgumentComponentNamesTest()
	{
	_components.push_back(TensorComponentType::Dim0);
	_components.push_back(TensorComponentType::Dim1);
	_components.push_back(TensorComponentType::Dim2);
	_components.push_back(TensorComponentType::Dim3);
	_components.push_back(TensorComponentType::Dim4);
	_components.push_back(TensorComponentType::Dim1xDim2);
	_components.push_back(TensorComponentType::Dim2xDim3);
	_components.push_back(TensorComponentType::OffsetFirstElement);
	_components.push_back(TensorComponentType::Stride0);
	_components.push_back(TensorComponentType::Stride1);
	_components.push_back(TensorComponentType::Stride2);
	_components.push_back(TensorComponentType::Stride3);
	_components.push_back(TensorComponentType::Stride4);

	_expected_vars.push_back("src_dim0");
	_expected_vars.push_back("src_dim1");
	_expected_vars.push_back("src_dim2");
	_expected_vars.push_back("src_dim3");
	_expected_vars.push_back("src_dim4");
	_expected_vars.push_back("src_dim1xdim2");
	_expected_vars.push_back("src_dim2xdim3");
	_expected_vars.push_back("src_offset_first_element");
	_expected_vars.push_back("src_stride0");
	_expected_vars.push_back("src_stride1");
	_expected_vars.push_back("src_stride2");
	_expected_vars.push_back("src_stride3");
	_expected_vars.push_back("src_stride4");
	}

	bool run() override
	{
	VALIDATE_ON_MSG(_components.size() == _expected_vars.size(), "The number of components and variables does not match");

	// The status of this variable can change in VALIDATE_TEST()
	bool all_tests_passed = true;

	const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

	const size_t num_tests = _expected_vars.size();

	int32_t test_idx = 0;
	for(size_t i = 0; i < num_tests; ++i)
	{
	CLTensorArgument arg(tensor_name, info, false /* return_dims_by_value */);

	const std::string expected_var_name = _expected_vars[i];
	const std::string actual_var_name = arg.component(_components[i]).name();

	VALIDATE_TEST(actual_var_name.compare(expected_var_name) == 0, all_tests_passed, test_idx++);
	}
	return all_tests_passed;
	}

	std::string name() override
	{
	return "CLTensorArgumentVariableNamesTest";
	}

	private:
	std::vector<TensorComponentType> _components{};
	std::vector<std::string> _expected_vars{};
	};

	class CLTensorArgumentStorageNamesTest : public ITest
	{
	public:
	const DataType dt = DataType::Fp32;
	const TensorShape shape = TensorShape({ { 12, 14, 3, 1, 2 } });
	const std::string tensor_name = "src";

	CLTensorArgumentStorageNamesTest()
	{
	_storages.push_back(TensorStorageType::BufferUint8Ptr);
	_storages.push_back(TensorStorageType::Texture2dReadOnly);
	_storages.push_back(TensorStorageType::Texture2dWriteOnly);

	_expected_vars.push_back("src_ptr");
	_expected_vars.push_back("src_img2d");
	_expected_vars.push_back("src_img2d");
	}

	bool run() override
	{
	VALIDATE_ON_MSG(_storages.size() == _expected_vars.size(), "The number of storages and variables does not match");

	// The status of this variable can change in VALIDATE_TEST()
	bool all_tests_passed = true;

	const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

	const size_t num_tests = _expected_vars.size();

	int32_t test_idx = 0;
	for(size_t i = 0; i < num_tests; ++i)
	{
	CLTensorArgument arg(tensor_name, info, false /* return_dims_by_value */);

	const std::string expected_var_name = _expected_vars[i];
	const std::string actual_var_name = arg.storage(_storages[i]).val;

	VALIDATE_TEST(actual_var_name.compare(expected_var_name) == 0, all_tests_passed, test_idx++);
	}
	return all_tests_passed;
	}

	std::string name() override
	{
	return "CLTensorArgumentStorageNamesTest";
	}

	private:
	std::vector<TensorStorageType> _storages{};
	std::vector<std::string> _expected_vars{};
	};

	class CLTensorArgumentComponentValuesTest : public ITest
	{
	public:
	const DataType dt = DataType::Fp32;
	const TensorShape shape = TensorShape({ { 12, 14, 3, 1, 2 } });
	const std::string tensor_name = "src";

	CLTensorArgumentComponentValuesTest()
	{
	_components.push_back(TensorComponentType::Dim0);
	_components.push_back(TensorComponentType::Dim1);
	_components.push_back(TensorComponentType::Dim2);
	_components.push_back(TensorComponentType::Dim3);
	_components.push_back(TensorComponentType::Dim4);
	_components.push_back(TensorComponentType::Dim1xDim2);
	_components.push_back(TensorComponentType::Dim2xDim3);

	_expected_vals.push_back(std::to_string(shape[0]));
	_expected_vals.push_back(std::to_string(shape[1]));
	_expected_vals.push_back(std::to_string(shape[2]));
	_expected_vals.push_back(std::to_string(shape[3]));
	_expected_vals.push_back(std::to_string(shape[4]));
	_expected_vals.push_back(std::to_string(shape[1] * shape[2]));
	_expected_vals.push_back(std::to_string(shape[2] * shape[3]));
	}

	bool run() override
	{
	VALIDATE_ON_MSG(_components.size() == _expected_vals.size(), "The number of components and values does not match");

	// The status of this variable can change in VALIDATE_TEST()
	bool all_tests_passed = true;

	const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

	const size_t num_tests = _expected_vals.size();

	int32_t test_idx = 0;
	for(size_t i = 0; i < num_tests; ++i)
	{
	CLTensorArgument arg(tensor_name, info, true /* return_dims_by_value */);

	const std::string expected_var_val = std::string("((int)(") + _expected_vals[i] + "))";
	const std::string actual_var_val = arg.cl_component(_components[i]).scalar(0, 0).str;

	VALIDATE_TEST(actual_var_val.compare(expected_var_val) == 0, all_tests_passed, test_idx++);
	}
	return all_tests_passed;
	}

	std::string name() override
	{
	return "CLTensorArgumentComponentValuesTest";
	}

	private:
	std::vector<TensorComponentType> _components{};
	std::vector<std::string> _expected_vals{};
	};

	class CLTensorArgumentComponentsUsedPassByValueFalseTest : public ITest
	{
	public:
	const DataType dt = DataType::Fp32;
	const TensorShape shape = TensorShape({ { 12, 14, 3, 1, 2 } });
	const std::string tensor_name = "src";

	CLTensorArgumentComponentsUsedPassByValueFalseTest()
	{
	_components.push_back(TensorComponentType::Dim0);
	_components.push_back(TensorComponentType::Dim2);
	_components.push_back(TensorComponentType::Dim3);
	_components.push_back(TensorComponentType::Dim1xDim2);
	_components.push_back(TensorComponentType::OffsetFirstElement);
	_components.push_back(TensorComponentType::Stride1);
	_components.push_back(TensorComponentType::Stride2);
	_components.push_back(TensorComponentType::Stride3);
	_components.push_back(TensorComponentType::Dim0); // Repeat the query. The TensorArgument should not create a new variable
	_components.push_back(TensorComponentType::Dim2); // Repeat the query. The TensorArgument should not create a new variable
	_components.push_back(TensorComponentType::Dim3); // Repeat the query. The TensorArgument should not create a new variable

	_expected_vars.push_back("src_dim0");
	_expected_vars.push_back("src_dim2");
	_expected_vars.push_back("src_dim3");
	_expected_vars.push_back("src_dim1xdim2");
	_expected_vars.push_back("src_offset_first_element");
	_expected_vars.push_back("src_stride1");
	_expected_vars.push_back("src_stride2");
	_expected_vars.push_back("src_stride3");
	}

	bool run() override
	{
	// The status of this variable can change in VALIDATE_TEST()
	bool all_tests_passed = true;

	const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

	const size_t num_components = _components.size();

	int32_t test_idx = 0;

	CLTensorArgument arg(tensor_name, info, false /* return_dims_by_value */);
	for(size_t i = 0; i < num_components; ++i)
	{
	arg.component(_components[i]);
	}

	const auto actual_vars = arg.components();

	const size_t num_vars = _expected_vars.size();

	VALIDATE_ON_MSG(actual_vars.size() == num_vars, "The number of variables must match the number of expected variables");

	for(size_t i = 0; i < num_vars; ++i)
	{
	// Validate variable name
	const std::string expected_var_name = _expected_vars[i];
	const std::string actual_var_name = actual_vars[i]->tile().name();
	VALIDATE_TEST(actual_var_name.compare(expected_var_name) == 0, all_tests_passed, test_idx++);

	// Validate data type
	const DataType expected_var_type = DataType::Int32;
	const DataType actual_var_type = actual_vars[i]->tile().info().data_type();
	VALIDATE_TEST(actual_var_type == expected_var_type, all_tests_passed, test_idx++);

	// Validate tile shape
	const int32_t actual_var_width = actual_vars[i]->tile().info().width();
	const int32_t actual_var_height = actual_vars[i]->tile().info().height();

	VALIDATE_TEST(actual_var_height == 1, all_tests_passed, test_idx++);
	VALIDATE_TEST(actual_var_width == 1, all_tests_passed, test_idx++);
	}
	return all_tests_passed;
	}

	std::string name() override
	{
	return "CLTensorArgumentComponentsUsedPassByValueFalseTest";
	}

	private:
	std::vector<TensorComponentType> _components{};
	std::vector<std::string> _expected_vars{};
	};

	class CLTensorArgumentComponentsUsedPassByValueTrueTest : public ITest
	{
	public:
	const DataType dt = DataType::Fp32;
	const TensorShape shape = TensorShape({ { 12, 14, 3, 1, 2 } });
	const std::string tensor_name = "src";

	CLTensorArgumentComponentsUsedPassByValueTrueTest()
	{
	_components.push_back(TensorComponentType::Dim0);
	_components.push_back(TensorComponentType::Dim2);
	_components.push_back(TensorComponentType::Dim3);
	_components.push_back(TensorComponentType::Dim1xDim2);
	_components.push_back(TensorComponentType::OffsetFirstElement);
	_components.push_back(TensorComponentType::Stride1);
	_components.push_back(TensorComponentType::Stride2);
	_components.push_back(TensorComponentType::Stride3);
	_components.push_back(TensorComponentType::OffsetFirstElement); // Repeat the query. The TensorArgument should not create a new variable
	_components.push_back(TensorComponentType::Stride1); // Repeat the query. The TensorArgument should not create a new variable

	_expected_vars.push_back("src_offset_first_element");
	_expected_vars.push_back("src_stride1");
	_expected_vars.push_back("src_stride2");
	_expected_vars.push_back("src_stride3");
	}

	bool run() override
	{
	// The status of this variable can change in VALIDATE_TEST()
	bool all_tests_passed = true;

	const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

	const size_t num_components = _components.size();

	int32_t test_idx = 0;

	CLTensorArgument arg(tensor_name, info, true /* return_dims_by_value */);
	for(size_t i = 0; i < num_components; ++i)
	{
	arg.component(_components[i]);
	}

	const auto actual_vars = arg.components();

	const size_t num_vars = _expected_vars.size();

	VALIDATE_ON_MSG(actual_vars.size() == num_vars, "The number of variables must match the number of expected variables");

	// Since the dimensions are passed by value, we expect only the variables for the strides
	for(size_t i = 0; i < num_vars; ++i)
	{
	// Validate variable name
	const std::string expected_var_name = _expected_vars[i];
	const std::string actual_var_name = actual_vars[i]->tile().name();
	VALIDATE_TEST(actual_var_name.compare(expected_var_name) == 0, all_tests_passed, test_idx++);

	// Validate data type
	const DataType expected_var_type = DataType::Int32;
	const DataType actual_var_type = actual_vars[i]->tile().info().data_type();
	VALIDATE_TEST(actual_var_type == expected_var_type, all_tests_passed, test_idx++);

	// Validate tile shape
	const int32_t actual_var_width = actual_vars[i]->tile().info().width();
	const int32_t actual_var_height = actual_vars[i]->tile().info().height();

	VALIDATE_TEST(actual_var_height == 1, all_tests_passed, test_idx++);
	VALIDATE_TEST(actual_var_width == 1, all_tests_passed, test_idx++);
	}
	return all_tests_passed;
	}

	std::string name() override
	{
	return "CLTensorArgumentComponentsUsedPassByValueTrueTest";
	}

	private:
	std::vector<TensorComponentType> _components{};
	std::vector<std::string> _expected_vars{};
	};

	class CLTensorArgumentStoragesUsedTest : public ITest
	{
	public:
	const DataType dt = DataType::Fp32;
	const TensorShape shape = TensorShape({ { 12, 14, 3, 1, 2 } });
	const std::string tensor_name = "src";

	CLTensorArgumentStoragesUsedTest()
	{
	_storages.push_back(TensorStorageType::BufferUint8Ptr);
	_storages.push_back(TensorStorageType::Texture2dReadOnly);
	_storages.push_back(TensorStorageType::BufferUint8Ptr); // Repeat the query. The TensorArgument should not create a new variable

	_expected_vars.push_back("src_ptr");
	_expected_vars.push_back("src_img2d");
	}

	bool run() override
	{
	// The status of this variable can change in VALIDATE_TEST()
	bool all_tests_passed = true;

	const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

	const size_t num_storages = _storages.size();

	int32_t test_idx = 0;

	CLTensorArgument arg(tensor_name, info, true /* return_dims_by_value */);
	for(size_t i = 0; i < num_storages; ++i)
	{
	arg.storage(_storages[i]);
	}

	const auto actual_vars = arg.storages();

	const size_t num_vars = _expected_vars.size();

	VALIDATE_ON_MSG(actual_vars.size() == num_vars, "The number of variables must match the number of expected variables");

	for(size_t i = 0; i < num_vars; ++i)
	{
	// Validate variable name
	const std::string expected_var_name = _expected_vars[i];
	const std::string actual_var_name = actual_vars[i].val;
	VALIDATE_TEST(actual_var_name.compare(expected_var_name) == 0, all_tests_passed, test_idx++);

	// Validate storage type
	const auto expected_var_type = _storages[i];
	const auto actual_var_type = actual_vars[i].type;
	VALIDATE_TEST(actual_var_type == expected_var_type, all_tests_passed, test_idx++);
	}
	return all_tests_passed;
	}

	std::string name() override
	{
	return "CLTensorArgumentStoragesUsedTest";
	}

	private:
	std::vector<TensorStorageType> _storages{};
	std::vector<std::string> _expected_vars{};
	};

	class CLTensorArgumentComponentsUsedPassByValueTrueDynamicDimTrueTest : public ITest
	{
	public:
	const DataType dt = DataType::Fp32;
	const TensorShape shape = TensorShape({ { -1, -1, 3, 1, 2 } });
	const std::string tensor_name = "src";

	CLTensorArgumentComponentsUsedPassByValueTrueDynamicDimTrueTest()
	{
	_components.push_back(TensorComponentType::Dim0);
	_components.push_back(TensorComponentType::Dim2);
	_components.push_back(TensorComponentType::Dim3);
	_components.push_back(TensorComponentType::Dim1xDim2);
	_components.push_back(TensorComponentType::OffsetFirstElement);
	_components.push_back(TensorComponentType::Stride1);
	_components.push_back(TensorComponentType::Stride2);
	_components.push_back(TensorComponentType::Stride3);
	_components.push_back(TensorComponentType::OffsetFirstElement); // Repeat the query. The TensorArgument should not create a new variable
	_components.push_back(TensorComponentType::Stride1); // Repeat the query. The TensorArgument should not create a new variable

	_expected_vars.push_back("src_dim0");
	_expected_vars.push_back("src_dim1xdim2");
	_expected_vars.push_back("src_offset_first_element");
	_expected_vars.push_back("src_stride1");
	_expected_vars.push_back("src_stride2");
	_expected_vars.push_back("src_stride3");
	}

	bool run() override
	{
	// The status of this variable can change in VALIDATE_TEST()
	bool all_tests_passed = true;

	const TensorInfo info(dt, shape, TensorDataLayout::Nhwc, 1);

	const size_t num_components = _components.size();

	int32_t test_idx = 0;

	CLTensorArgument arg(tensor_name, info, true /* return_dims_by_value */);
	for(size_t i = 0; i < num_components; ++i)
	{
	arg.component(_components[i]);
	}

	const auto actual_vars = arg.components();

	const size_t num_vars = _expected_vars.size();

	VALIDATE_ON_MSG(actual_vars.size() == num_vars, "The number of variables must match the number of expected variables");

	// Since the dimensions are passed by value, we expect only the variables for the strides
	for(size_t i = 0; i < num_vars; ++i)
	{
	// Validate variable name
	const std::string expected_var_name = _expected_vars[i];
	const std::string actual_var_name = actual_vars[i]->tile().name();
	VALIDATE_TEST(actual_var_name.compare(expected_var_name) == 0, all_tests_passed, test_idx++);

	// Validate data type
	const DataType expected_var_type = DataType::Int32;
	const DataType actual_var_type = actual_vars[i]->tile().info().data_type();
	VALIDATE_TEST(actual_var_type == expected_var_type, all_tests_passed, test_idx++);

	// Validate tile shape
	const int32_t actual_var_width = actual_vars[i]->tile().info().width();
	const int32_t actual_var_height = actual_vars[i]->tile().info().height();

	VALIDATE_TEST(actual_var_height == 1, all_tests_passed, test_idx++);
	VALIDATE_TEST(actual_var_width == 1, all_tests_passed, test_idx++);
	}
	return all_tests_passed;
	}

	std::string name() override
	{
	return "CLTensorArgumentComponentsUsedPassByValueTrueDynamicDimTrueTest";
	}

	private:
	std::vector<TensorComponentType> _components{};
	std::vector<std::string> _expected_vars{};
	};
	} // namespace ckw

	#endif // CKW_VALIDATION_TESTS_CLTENSORARGUMENTTEST_H