tests/validation_old/CL/PixelWiseMultiplication.cpp - ml/ComputeLibrary - Gitiles

 /*
  * Copyright (c) 2017 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.
  */
 #include "CL/CLAccessor.h"
 #include "tests/Globals.h"
 #include "tests/Utils.h"
 #include "tests/validation_old/Datasets.h"
 #include "tests/validation_old/Reference.h"
 #include "tests/validation_old/Validation.h"
 #include "utils/TypePrinter.h"

 #include "arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h"

 using namespace arm_compute;
 using namespace arm_compute::test;
 using namespace arm_compute::test::validation;

 namespace
 {
 const float tolerance_f32 = 1.f; /**< Tolerance value for comparing reference's output against implementation's output for float input */
 const float tolerance_f16 = 1.f; /**< Tolerance value for comparing reference's output against implementation's output for float input */

 /** Compute CL pixel-wise multiplication function.
  *
  * @param[in] shape                Shape of the input and output tensors.
  * @param[in] dt_in0               Data type of first input tensor.
  * @param[in] dt_in1               Data type of second input tensor.
  * @param[in] dt_out               Data type of the output tensor.
  * @param[in] scale                Non-negative scale.
  * @param[in] convert_policy       Overflow policy of the operation.
  * @param[in] rounding_policy      Rounding policy of the operation.
  * @param[in] fixed_point_position (Optional) Fixed point position that expresses the number of bits for the fractional part of the number.
  *
  * @return Computed output tensor.
  */
 CLTensor compute_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
                                            int fixed_point_position = 0)
 {
     // Create tensors
     CLTensor src1 = create_tensor<CLTensor>(shape, dt_in0, 1, fixed_point_position);
     CLTensor src2 = create_tensor<CLTensor>(shape, dt_in1, 1, fixed_point_position);
     CLTensor dst  = create_tensor<CLTensor>(shape, dt_out, 1, fixed_point_position);

     // Create and configure function
     CLPixelWiseMultiplication multiply;
     multiply.configure(&src1, &src2, &dst, scale, convert_policy, rounding_policy);

     // Allocate tensors
     src1.allocator()->allocate();
     src2.allocator()->allocate();
     dst.allocator()->allocate();

     BOOST_TEST(!src1.info()->is_resizable());
     BOOST_TEST(!src2.info()->is_resizable());
     BOOST_TEST(!dst.info()->is_resizable());

     // Fill tensors
     library->fill_tensor_uniform(CLAccessor(src1), 0);
     library->fill_tensor_uniform(CLAccessor(src2), 1);

     // Compute function
     multiply.run();

     return dst;
 }
 } // namespace

 #ifndef DOXYGEN_SKIP_THIS
 BOOST_AUTO_TEST_SUITE(CL)
 BOOST_AUTO_TEST_SUITE(PixelWiseMultiplication)

 BOOST_AUTO_TEST_SUITE(Float16)
 BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
 BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::F16 *ConvertPolicies() * RoundingPolicy::TO_NEAREST_UP,
                      shape, dt, convert_policy, rounding_policy)
 {
     constexpr float scale = 1.f / 255.f;

     // Compute function
     CLTensor dst = compute_pixel_wise_multiplication(shape, dt, dt, dt, scale, convert_policy, rounding_policy);

     // Compute reference
     RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, dt, dt, dt, scale, convert_policy, rounding_policy);

     // Validate output
     validate(CLAccessor(dst), ref_dst, tolerance_f16);
 }
 BOOST_AUTO_TEST_SUITE_END()

 BOOST_AUTO_TEST_SUITE(Float)
 BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
 BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::F32 *ConvertPolicies() * RoundingPolicy::TO_NEAREST_UP,
                      shape, dt, convert_policy, rounding_policy)
 {
     constexpr float scale = 1.f / 255.f;

     // Compute function
     CLTensor dst = compute_pixel_wise_multiplication(shape, dt, dt, dt, scale, convert_policy, rounding_policy);

     // Compute reference
     RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, dt, dt, dt, scale, convert_policy, rounding_policy);

     // Validate output
     validate(CLAccessor(dst), ref_dst, tolerance_f32);
 }
 BOOST_AUTO_TEST_SUITE_END()

 BOOST_AUTO_TEST_SUITE(Quantized)
 BOOST_AUTO_TEST_SUITE(QS8)
 BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
 BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::QS8 *ConvertPolicies() * RoundingPolicy::TO_ZERO * boost::unit_test::data::xrange<int>(1, 7),
                      shape, dt, convert_policy, rounding_policy, fixed_point_position)
 {
     // Compute function
     CLTensor dst = compute_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, convert_policy, rounding_policy, fixed_point_position);

     // Compute reference
     RawTensor ref_dst = Reference::compute_reference_fixed_point_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, fixed_point_position, convert_policy, rounding_policy);

     // Validate output
     validate(CLAccessor(dst), ref_dst);
 }
 BOOST_AUTO_TEST_SUITE_END()

 BOOST_AUTO_TEST_SUITE(QS16)
 BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
 BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::QS16 *ConvertPolicies() * RoundingPolicy::TO_ZERO * boost::unit_test::data::xrange<int>(1, 15),
                      shape, dt, convert_policy, rounding_policy, fixed_point_position)
 {
     // Compute function
     CLTensor dst = compute_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, convert_policy, rounding_policy, fixed_point_position);

     // Compute reference
     RawTensor ref_dst = Reference::compute_reference_fixed_point_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, fixed_point_position, convert_policy, rounding_policy);

     // Validate output
     validate(CLAccessor(dst), ref_dst);
 }
 BOOST_AUTO_TEST_SUITE_END()
 BOOST_AUTO_TEST_SUITE_END()

 BOOST_AUTO_TEST_SUITE_END()
 BOOST_AUTO_TEST_SUITE_END()
 #endif // DOXYGEN_SKIP_THIS
	/*
	* Copyright (c) 2017 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.
	*/
	#include "CL/CLAccessor.h"
	#include "tests/Globals.h"
	#include "tests/Utils.h"
	#include "tests/validation_old/Datasets.h"
	#include "tests/validation_old/Reference.h"
	#include "tests/validation_old/Validation.h"
	#include "utils/TypePrinter.h"

	#include "arm_compute/runtime/CL/functions/CLPixelWiseMultiplication.h"

	using namespace arm_compute;
	using namespace arm_compute::test;
	using namespace arm_compute::test::validation;

	namespace
	{
	const float tolerance_f32 = 1.f; /*< Tolerance value for comparing reference's output against implementation's output for float input /
	const float tolerance_f16 = 1.f; /*< Tolerance value for comparing reference's output against implementation's output for float input /

	/** Compute CL pixel-wise multiplication function.
	*
	* @param[in] shape Shape of the input and output tensors.
	* @param[in] dt_in0 Data type of first input tensor.
	* @param[in] dt_in1 Data type of second input tensor.
	* @param[in] dt_out Data type of the output tensor.
	* @param[in] scale Non-negative scale.
	* @param[in] convert_policy Overflow policy of the operation.
	* @param[in] rounding_policy Rounding policy of the operation.
	* @param[in] fixed_point_position (Optional) Fixed point position that expresses the number of bits for the fractional part of the number.
	*
	* @return Computed output tensor.
	*/
	CLTensor compute_pixel_wise_multiplication(const TensorShape &shape, DataType dt_in0, DataType dt_in1, DataType dt_out, float scale, ConvertPolicy convert_policy, RoundingPolicy rounding_policy,
	int fixed_point_position = 0)
	{
	// Create tensors
	CLTensor src1 = create_tensor<CLTensor>(shape, dt_in0, 1, fixed_point_position);
	CLTensor src2 = create_tensor<CLTensor>(shape, dt_in1, 1, fixed_point_position);
	CLTensor dst = create_tensor<CLTensor>(shape, dt_out, 1, fixed_point_position);

	// Create and configure function
	CLPixelWiseMultiplication multiply;
	multiply.configure(&src1, &src2, &dst, scale, convert_policy, rounding_policy);

	// Allocate tensors
	src1.allocator()->allocate();
	src2.allocator()->allocate();
	dst.allocator()->allocate();

	BOOST_TEST(!src1.info()->is_resizable());
	BOOST_TEST(!src2.info()->is_resizable());
	BOOST_TEST(!dst.info()->is_resizable());

	// Fill tensors
	library->fill_tensor_uniform(CLAccessor(src1), 0);
	library->fill_tensor_uniform(CLAccessor(src2), 1);

	// Compute function
	multiply.run();

	return dst;
	}
	} // namespace

	#ifndef DOXYGEN_SKIP_THIS
	BOOST_AUTO_TEST_SUITE(CL)
	BOOST_AUTO_TEST_SUITE(PixelWiseMultiplication)

	BOOST_AUTO_TEST_SUITE(Float16)
	BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
	BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::F16 ConvertPolicies() RoundingPolicy::TO_NEAREST_UP,
	shape, dt, convert_policy, rounding_policy)
	{
	constexpr float scale = 1.f / 255.f;

	// Compute function
	CLTensor dst = compute_pixel_wise_multiplication(shape, dt, dt, dt, scale, convert_policy, rounding_policy);

	// Compute reference
	RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, dt, dt, dt, scale, convert_policy, rounding_policy);

	// Validate output
	validate(CLAccessor(dst), ref_dst, tolerance_f16);
	}
	BOOST_AUTO_TEST_SUITE_END()

	BOOST_AUTO_TEST_SUITE(Float)
	BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
	BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::F32 ConvertPolicies() RoundingPolicy::TO_NEAREST_UP,
	shape, dt, convert_policy, rounding_policy)
	{
	constexpr float scale = 1.f / 255.f;

	// Compute function
	CLTensor dst = compute_pixel_wise_multiplication(shape, dt, dt, dt, scale, convert_policy, rounding_policy);

	// Compute reference
	RawTensor ref_dst = Reference::compute_reference_pixel_wise_multiplication(shape, dt, dt, dt, scale, convert_policy, rounding_policy);

	// Validate output
	validate(CLAccessor(dst), ref_dst, tolerance_f32);
	}
	BOOST_AUTO_TEST_SUITE_END()

	BOOST_AUTO_TEST_SUITE(Quantized)
	BOOST_AUTO_TEST_SUITE(QS8)
	BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
	BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::QS8 ConvertPolicies() RoundingPolicy::TO_ZERO * boost::unit_test::data::xrange<int>(1, 7),
	shape, dt, convert_policy, rounding_policy, fixed_point_position)
	{
	// Compute function
	CLTensor dst = compute_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, convert_policy, rounding_policy, fixed_point_position);

	// Compute reference
	RawTensor ref_dst = Reference::compute_reference_fixed_point_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, fixed_point_position, convert_policy, rounding_policy);

	// Validate output
	validate(CLAccessor(dst), ref_dst);
	}
	BOOST_AUTO_TEST_SUITE_END()

	BOOST_AUTO_TEST_SUITE(QS16)
	BOOST_TEST_DECORATOR(*boost::unit_test::label("precommit"))
	BOOST_DATA_TEST_CASE(RunSmall, SmallShapes() * DataType::QS16 ConvertPolicies() RoundingPolicy::TO_ZERO * boost::unit_test::data::xrange<int>(1, 15),
	shape, dt, convert_policy, rounding_policy, fixed_point_position)
	{
	// Compute function
	CLTensor dst = compute_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, convert_policy, rounding_policy, fixed_point_position);

	// Compute reference
	RawTensor ref_dst = Reference::compute_reference_fixed_point_pixel_wise_multiplication(shape, dt, dt, dt, 1.f, fixed_point_position, convert_policy, rounding_policy);

	// Validate output
	validate(CLAccessor(dst), ref_dst);
	}
	BOOST_AUTO_TEST_SUITE_END()
	BOOST_AUTO_TEST_SUITE_END()

	BOOST_AUTO_TEST_SUITE_END()
	BOOST_AUTO_TEST_SUITE_END()
	#endif // DOXYGEN_SKIP_THIS