tests/validation/CL/Convolution.cpp - ml/ComputeLibrary - Gitiles

 /*
  * Copyright (c) 2017-2019 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 "arm_compute/core/Types.h"
 #include "arm_compute/runtime/CL/functions/CLConvolution.h"
 #include "arm_compute/runtime/Tensor.h"
 #include "arm_compute/runtime/TensorAllocator.h"
 #include "tests/CL/CLAccessor.h"
 #include "tests/PaddingCalculator.h"
 #include "tests/datasets/BorderModeDataset.h"
 #include "tests/datasets/ShapeDatasets.h"
 #include "tests/framework/Asserts.h"
 #include "tests/framework/Macros.h"
 #include "tests/framework/datasets/Datasets.h"
 #include "tests/validation/Validation.h"
 #include "tests/validation/fixtures/ConvolutionFixture.h"

 namespace arm_compute
 {
 namespace test
 {
 namespace validation
 {
 TEST_SUITE(CL)
 TEST_SUITE(CustomConvolution)
 TEST_SUITE(Square3x3)
 DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })),
                                                                                datasets::BorderModes()),
                                                                        framework::dataset::make("filter_size", { 3 })),
                shape, output_data_type, border_mode, filter_size)
 {
     // Create tensors
     CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
     CLTensor dst = create_tensor<CLTensor>(shape, output_data_type);

     // Create conv matrix
     std::array<int16_t, 9> conv = { 0 };

     ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
     ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);

     // Create and configure function
     CLConvolution3x3 convolution;
     convolution.configure(&src, &dst, conv.data(), 0, border_mode);

     // Validate valid region
     const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2));
     validate(dst.info()->valid_region(), dst_valid_region);

     // Validate padding
     PaddingCalculator calculator(shape.x(), 8);
     calculator.set_border_size(1);
     calculator.set_border_mode(border_mode);

     const PaddingSize dst_padding = calculator.required_padding();

     calculator.set_accessed_elements(16);
     calculator.set_access_offset(-1);

     const PaddingSize src_padding = calculator.required_padding();

     validate(src.info()->padding(), src_padding);
     validate(dst.info()->padding(), dst_padding);
 }

 template <typename T>
 using CLConvolutionFixture = ConvolutionSquareValidationFixture<CLTensor, CLAccessor, CLConvolution3x3, T>;

 TEST_SUITE(U8)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::U8)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 3 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // U8

 TEST_SUITE(S16)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::S16)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 3 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // S16
 TEST_SUITE_END() // Square 3x3

 TEST_SUITE(Square5x5)
 DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })),
                                                                                datasets::BorderModes()),
                                                                        framework::dataset::make("filter_size", { 5 })),
                shape, output_data_type, border_mode, filter_size)
 {
     // Create tensors
     CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
     CLTensor dst = create_tensor<CLTensor>(shape, output_data_type);

     // Create conv matrix
     std::array<int16_t, 25> conv = { 0 };

     ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
     ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);

     // Create and configure function
     CLConvolution5x5 convolution;
     convolution.configure(&src, &dst, conv.data(), 0, border_mode);

     // Validate valid region
     const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2));
     validate(dst.info()->valid_region(), dst_valid_region);

     // Validate padding
     PaddingCalculator calculator(shape.x(), 8);
     calculator.set_border_size(2);
     calculator.set_border_mode(border_mode);

     const PaddingSize dst_padding = calculator.required_padding();

     calculator.set_accessed_elements(16);
     calculator.set_access_offset(-2);

     const PaddingSize src_padding = calculator.required_padding();

     validate(src.info()->padding(), src_padding);
     validate(dst.info()->padding(), dst_padding);
 }

 template <typename T>
 using CLConvolutionFixture = ConvolutionSquareValidationFixture<CLTensor, CLAccessor, CLConvolution5x5, T>;

 TEST_SUITE(U8)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::U8)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 5 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // U8

 TEST_SUITE(S16)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::S16)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 5 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // S16
 TEST_SUITE_END() // Square5x5

 TEST_SUITE(Square7x7)
 DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })),
                                                                                datasets::BorderModes()),
                                                                        framework::dataset::make("filter_size", { 7 })),
                shape, output_data_type, border_mode, filter_size)
 {
     // Create tensors
     CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
     CLTensor dst = create_tensor<CLTensor>(shape, output_data_type);

     // Create conv matrix
     std::array<int16_t, 49> conv = { 0 };

     ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
     ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);

     // Create and configure function
     CLConvolution7x7 convolution;
     convolution.configure(&src, &dst, conv.data(), 0, border_mode);

     // Validate valid region
     const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2));
     validate(dst.info()->valid_region(), dst_valid_region);

     // Validate padding
     PaddingCalculator calculator(shape.x(), 8);
     calculator.set_border_size(3);
     calculator.set_border_mode(border_mode);

     const PaddingSize dst_padding = calculator.required_padding();

     calculator.set_accessed_elements(16);
     calculator.set_access_offset(-3);

     const PaddingSize src_padding = calculator.required_padding();

     validate(src.info()->padding(), src_padding);
     validate(dst.info()->padding(), dst_padding);
 }

 template <typename T>
 using CLConvolutionFixture = ConvolutionSquareValidationFixture<CLTensor, CLAccessor, CLConvolution7x7, T>;

 TEST_SUITE(U8)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::U8)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 7 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // U8

 TEST_SUITE(S16)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::S16)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 7 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // S16
 TEST_SUITE_END() // Square7x7

 TEST_SUITE(Square9x9)
 DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })),
                                                                                datasets::BorderModes()),
                                                                        framework::dataset::make("filter_size", { 9 })),
                shape, output_data_type, border_mode, filter_size)
 {
     // Create tensors
     CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
     CLTensor dst = create_tensor<CLTensor>(shape, output_data_type);

     // Create conv matrix
     std::array<int16_t, 81> conv = { 0 };

     ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
     ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);

     // Create and configure function
     CLConvolution9x9 convolution;
     convolution.configure(&src, &dst, conv.data(), 0, border_mode);

     // Validate valid region
     const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2));
     validate(dst.info()->valid_region(), dst_valid_region);

     // Validate padding
     PaddingCalculator calculator(shape.x(), 8);
     calculator.set_border_size(4);
     calculator.set_border_mode(border_mode);

     const PaddingSize dst_padding = calculator.required_padding();

     calculator.set_accessed_elements(16);
     calculator.set_access_offset(-4);

     const PaddingSize src_padding = calculator.required_padding();

     validate(src.info()->padding(), src_padding);
     validate(dst.info()->padding(), dst_padding);
 }

 template <typename T>
 using CLConvolutionFixture = ConvolutionSquareValidationFixture<CLTensor, CLAccessor, CLConvolution9x9, T>;

 TEST_SUITE(U8)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::U8)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 9 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // U8

 TEST_SUITE(S16)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::S16)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 9 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // S16
 TEST_SUITE_END() // Square9x9

 TEST_SUITE(Rectangle)
 DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
 { DataType::U8, DataType::S16 })),
 datasets::BorderModes()),
 framework::dataset::make("filter_width", { 3, 5, 7, 9 })),
 framework::dataset::make("filter_height", { 3, 5, 7, 9 })),
 shape, output_data_type, border_mode, filter_width, filter_height)
 {
     // Create tensors
     CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
     CLTensor dst = create_tensor<CLTensor>(shape, output_data_type);

     // Create conv matrix
     std::vector<int16_t> conv(filter_width * filter_height);

     ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
     ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);

     // Create and configure function
     CLConvolutionRectangle convolution;
     convolution.configure(&src, &dst, conv.data(), filter_width, filter_height, 1, border_mode);

     // Validate valid region
     const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_height / 2, filter_width / 2));
     validate(dst.info()->valid_region(), dst_valid_region);

     // Validate padding
     PaddingCalculator calculator(shape.x(), 8);
     calculator.set_border_size(filter_width / 2);
     calculator.set_border_mode(border_mode);

     const PaddingSize dst_padding = calculator.required_padding();

     calculator.set_accessed_elements(16);
     calculator.set_access_offset(-(filter_width / 2));

     const PaddingSize width_padding = calculator.required_padding();

     calculator.set_border_size(filter_height / 2);
     calculator.set_access_offset(-(filter_height / 2));
     const PaddingSize height_padding = calculator.required_padding();

     validate(src.info()->padding(), width_padding, height_padding);
     validate(dst.info()->padding(), dst_padding);
 }

 template <typename T>
 using CLConvolutionFixture = ConvolutionRectangleValidationFixture<CLTensor, CLAccessor, CLConvolutionRectangle, T>;

 TEST_SUITE(U8)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::U8)),
                                                                                                                  datasets::BorderModes()),
                                                                                                                  framework::dataset::make("filter_width", { 3, 5, 7, 9 })),
                                                                                                          framework::dataset::make("filter_height", { 3, 5, 7, 9 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // U8

 TEST_SUITE(S16)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::S16)),
                                                                                                                  datasets::BorderModes()),
                                                                                                                  framework::dataset::make("filter_width", { 3, 5, 7, 9 })),
                                                                                                          framework::dataset::make("filter_height", { 3, 5, 7, 9 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // S16
 TEST_SUITE_END() // Rectangle

 TEST_SUITE(Separable5x5)
 template <typename T>
 using CLConvolutionFixture = ConvolutionSeparableValidationFixture<CLTensor, CLAccessor, CLConvolution5x5, T>;

 TEST_SUITE(U8)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::U8)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 5 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // U8

 TEST_SUITE(S16)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::S16)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 5 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // S16
 TEST_SUITE_END() // Separable5x5

 TEST_SUITE(Separable7x7)
 template <typename T>
 using CLConvolutionFixture = ConvolutionSeparableValidationFixture<CLTensor, CLAccessor, CLConvolution7x7, T>;

 TEST_SUITE(U8)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::U8)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 7 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // U8

 TEST_SUITE(S16)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::S16)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 7 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // S16
 TEST_SUITE_END() // Separable7x7

 TEST_SUITE(Separable9x9)
 template <typename T>
 using CLConvolutionFixture = ConvolutionSeparableValidationFixture<CLTensor, CLAccessor, CLConvolution9x9, T>;

 TEST_SUITE(U8)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::U8)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 9 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END() // U8

 TEST_SUITE(S16)
 FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
                                                                                                                  framework::dataset::make("DataType",
                                                                                                                          DataType::S16)),
                                                                                                                  datasets::BorderModes()),
                                                                                                          framework::dataset::make("filter_size", { 9 })))
 {
     // Validate output
     validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
 }
 TEST_SUITE_END()
 TEST_SUITE_END() // Separable9x9

 TEST_SUITE_END() // Custom Convolution
 TEST_SUITE_END() // CL
 } // namespace validation
 } // namespace test
 } // namespace arm_compute
	/*
	* Copyright (c) 2017-2019 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 "arm_compute/core/Types.h"
	#include "arm_compute/runtime/CL/functions/CLConvolution.h"
	#include "arm_compute/runtime/Tensor.h"
	#include "arm_compute/runtime/TensorAllocator.h"
	#include "tests/CL/CLAccessor.h"
	#include "tests/PaddingCalculator.h"
	#include "tests/datasets/BorderModeDataset.h"
	#include "tests/datasets/ShapeDatasets.h"
	#include "tests/framework/Asserts.h"
	#include "tests/framework/Macros.h"
	#include "tests/framework/datasets/Datasets.h"
	#include "tests/validation/Validation.h"
	#include "tests/validation/fixtures/ConvolutionFixture.h"

	namespace arm_compute
	{
	namespace test
	{
	namespace validation
	{
	TEST_SUITE(CL)
	TEST_SUITE(CustomConvolution)
	TEST_SUITE(Square3x3)
	DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 3 })),
	shape, output_data_type, border_mode, filter_size)
	{
	// Create tensors
	CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
	CLTensor dst = create_tensor<CLTensor>(shape, output_data_type);

	// Create conv matrix
	std::array<int16_t, 9> conv = { 0 };

	ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
	ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);

	// Create and configure function
	CLConvolution3x3 convolution;
	convolution.configure(&src, &dst, conv.data(), 0, border_mode);

	// Validate valid region
	const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2));
	validate(dst.info()->valid_region(), dst_valid_region);

	// Validate padding
	PaddingCalculator calculator(shape.x(), 8);
	calculator.set_border_size(1);
	calculator.set_border_mode(border_mode);

	const PaddingSize dst_padding = calculator.required_padding();

	calculator.set_accessed_elements(16);
	calculator.set_access_offset(-1);

	const PaddingSize src_padding = calculator.required_padding();

	validate(src.info()->padding(), src_padding);
	validate(dst.info()->padding(), dst_padding);
	}

	template <typename T>
	using CLConvolutionFixture = ConvolutionSquareValidationFixture<CLTensor, CLAccessor, CLConvolution3x3, T>;

	TEST_SUITE(U8)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::U8)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 3 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // U8

	TEST_SUITE(S16)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::S16)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 3 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // S16
	TEST_SUITE_END() // Square 3x3

	TEST_SUITE(Square5x5)
	DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 5 })),
	shape, output_data_type, border_mode, filter_size)
	{
	// Create tensors
	CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
	CLTensor dst = create_tensor<CLTensor>(shape, output_data_type);

	// Create conv matrix
	std::array<int16_t, 25> conv = { 0 };

	ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
	ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);

	// Create and configure function
	CLConvolution5x5 convolution;
	convolution.configure(&src, &dst, conv.data(), 0, border_mode);

	// Validate valid region
	const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2));
	validate(dst.info()->valid_region(), dst_valid_region);

	// Validate padding
	PaddingCalculator calculator(shape.x(), 8);
	calculator.set_border_size(2);
	calculator.set_border_mode(border_mode);

	const PaddingSize dst_padding = calculator.required_padding();

	calculator.set_accessed_elements(16);
	calculator.set_access_offset(-2);

	const PaddingSize src_padding = calculator.required_padding();

	validate(src.info()->padding(), src_padding);
	validate(dst.info()->padding(), dst_padding);
	}

	template <typename T>
	using CLConvolutionFixture = ConvolutionSquareValidationFixture<CLTensor, CLAccessor, CLConvolution5x5, T>;

	TEST_SUITE(U8)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::U8)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 5 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // U8

	TEST_SUITE(S16)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::S16)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 5 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // S16
	TEST_SUITE_END() // Square5x5

	TEST_SUITE(Square7x7)
	DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 7 })),
	shape, output_data_type, border_mode, filter_size)
	{
	// Create tensors
	CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
	CLTensor dst = create_tensor<CLTensor>(shape, output_data_type);

	// Create conv matrix
	std::array<int16_t, 49> conv = { 0 };

	ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
	ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);

	// Create and configure function
	CLConvolution7x7 convolution;
	convolution.configure(&src, &dst, conv.data(), 0, border_mode);

	// Validate valid region
	const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2));
	validate(dst.info()->valid_region(), dst_valid_region);

	// Validate padding
	PaddingCalculator calculator(shape.x(), 8);
	calculator.set_border_size(3);
	calculator.set_border_mode(border_mode);

	const PaddingSize dst_padding = calculator.required_padding();

	calculator.set_accessed_elements(16);
	calculator.set_access_offset(-3);

	const PaddingSize src_padding = calculator.required_padding();

	validate(src.info()->padding(), src_padding);
	validate(dst.info()->padding(), dst_padding);
	}

	template <typename T>
	using CLConvolutionFixture = ConvolutionSquareValidationFixture<CLTensor, CLAccessor, CLConvolution7x7, T>;

	TEST_SUITE(U8)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::U8)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 7 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // U8

	TEST_SUITE(S16)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::S16)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 7 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // S16
	TEST_SUITE_END() // Square7x7

	TEST_SUITE(Square9x9)
	DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType", { DataType::U8, DataType::S16 })),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 9 })),
	shape, output_data_type, border_mode, filter_size)
	{
	// Create tensors
	CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
	CLTensor dst = create_tensor<CLTensor>(shape, output_data_type);

	// Create conv matrix
	std::array<int16_t, 81> conv = { 0 };

	ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
	ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);

	// Create and configure function
	CLConvolution9x9 convolution;
	convolution.configure(&src, &dst, conv.data(), 0, border_mode);

	// Validate valid region
	const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_size / 2));
	validate(dst.info()->valid_region(), dst_valid_region);

	// Validate padding
	PaddingCalculator calculator(shape.x(), 8);
	calculator.set_border_size(4);
	calculator.set_border_mode(border_mode);

	const PaddingSize dst_padding = calculator.required_padding();

	calculator.set_accessed_elements(16);
	calculator.set_access_offset(-4);

	const PaddingSize src_padding = calculator.required_padding();

	validate(src.info()->padding(), src_padding);
	validate(dst.info()->padding(), dst_padding);
	}

	template <typename T>
	using CLConvolutionFixture = ConvolutionSquareValidationFixture<CLTensor, CLAccessor, CLConvolution9x9, T>;

	TEST_SUITE(U8)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::U8)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 9 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // U8

	TEST_SUITE(S16)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::S16)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 9 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // S16
	TEST_SUITE_END() // Square9x9

	TEST_SUITE(Rectangle)
	DATA_TEST_CASE(Configuration, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(datasets::SmallShapes(), framework::dataset::make("DataType",
	{ DataType::U8, DataType::S16 })),
	datasets::BorderModes()),
	framework::dataset::make("filter_width", { 3, 5, 7, 9 })),
	framework::dataset::make("filter_height", { 3, 5, 7, 9 })),
	shape, output_data_type, border_mode, filter_width, filter_height)
	{
	// Create tensors
	CLTensor src = create_tensor<CLTensor>(shape, DataType::U8);
	CLTensor dst = create_tensor<CLTensor>(shape, output_data_type);

	// Create conv matrix
	std::vector<int16_t> conv(filter_width * filter_height);

	ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
	ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);

	// Create and configure function
	CLConvolutionRectangle convolution;
	convolution.configure(&src, &dst, conv.data(), filter_width, filter_height, 1, border_mode);

	// Validate valid region
	const ValidRegion dst_valid_region = shape_to_valid_region(shape, (border_mode == BorderMode::UNDEFINED), BorderSize(filter_height / 2, filter_width / 2));
	validate(dst.info()->valid_region(), dst_valid_region);

	// Validate padding
	PaddingCalculator calculator(shape.x(), 8);
	calculator.set_border_size(filter_width / 2);
	calculator.set_border_mode(border_mode);

	const PaddingSize dst_padding = calculator.required_padding();

	calculator.set_accessed_elements(16);
	calculator.set_access_offset(-(filter_width / 2));

	const PaddingSize width_padding = calculator.required_padding();

	calculator.set_border_size(filter_height / 2);
	calculator.set_access_offset(-(filter_height / 2));
	const PaddingSize height_padding = calculator.required_padding();

	validate(src.info()->padding(), width_padding, height_padding);
	validate(dst.info()->padding(), dst_padding);
	}

	template <typename T>
	using CLConvolutionFixture = ConvolutionRectangleValidationFixture<CLTensor, CLAccessor, CLConvolutionRectangle, T>;

	TEST_SUITE(U8)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::U8)),
	datasets::BorderModes()),
	framework::dataset::make("filter_width", { 3, 5, 7, 9 })),
	framework::dataset::make("filter_height", { 3, 5, 7, 9 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // U8

	TEST_SUITE(S16)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::S16)),
	datasets::BorderModes()),
	framework::dataset::make("filter_width", { 3, 5, 7, 9 })),
	framework::dataset::make("filter_height", { 3, 5, 7, 9 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // S16
	TEST_SUITE_END() // Rectangle

	TEST_SUITE(Separable5x5)
	template <typename T>
	using CLConvolutionFixture = ConvolutionSeparableValidationFixture<CLTensor, CLAccessor, CLConvolution5x5, T>;

	TEST_SUITE(U8)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::U8)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 5 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // U8

	TEST_SUITE(S16)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::S16)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 5 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // S16
	TEST_SUITE_END() // Separable5x5

	TEST_SUITE(Separable7x7)
	template <typename T>
	using CLConvolutionFixture = ConvolutionSeparableValidationFixture<CLTensor, CLAccessor, CLConvolution7x7, T>;

	TEST_SUITE(U8)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::U8)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 7 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // U8

	TEST_SUITE(S16)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::S16)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 7 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // S16
	TEST_SUITE_END() // Separable7x7

	TEST_SUITE(Separable9x9)
	template <typename T>
	using CLConvolutionFixture = ConvolutionSeparableValidationFixture<CLTensor, CLAccessor, CLConvolution9x9, T>;

	TEST_SUITE(U8)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<uint8_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::U8)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 9 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END() // U8

	TEST_SUITE(S16)
	FIXTURE_DATA_TEST_CASE(RunLarge, CLConvolutionFixture<int16_t>, framework::DatasetMode::NIGHTLY, combine(combine(combine(concat(datasets::SmallShapes(), datasets::LargeShapes()),
	framework::dataset::make("DataType",
	DataType::S16)),
	datasets::BorderModes()),
	framework::dataset::make("filter_size", { 9 })))
	{
	// Validate output
	validate(CLAccessor(_target), _reference, shape_to_valid_region(_reference.shape(), (_border_mode == BorderMode::UNDEFINED), BorderSize(_height / 2, _width / 2)));
	}
	TEST_SUITE_END()
	TEST_SUITE_END() // Separable9x9

	TEST_SUITE_END() // Custom Convolution
	TEST_SUITE_END() // CL
	} // namespace validation
	} // namespace test
	} // namespace arm_compute