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Diffstat (limited to 'tests/validation_new/fixtures/DirectConvolutionLayerFixture.h')
| -rw-r--r-- | tests/validation_new/fixtures/DirectConvolutionLayerFixture.h | 86 |
1 files changed, 0 insertions, 86 deletions
diff --git a/tests/validation_new/fixtures/DirectConvolutionLayerFixture.h b/tests/validation_new/fixtures/DirectConvolutionLayerFixture.h deleted file mode 100644 index 0d138b47d9..0000000000 --- a/tests/validation_new/fixtures/DirectConvolutionLayerFixture.h +++ /dev/null @@ -1,86 +0,0 @@ -/* - * 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 "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "framework/Asserts.h" -#include "framework/Fixture.h" -#include "tests/AssetsLibrary.h" -#include "tests/Globals.h" -#include "tests/IAccessor.h" -#include "tests/validation_new/CPP/ConvolutionLayer.h" -#include "tests/validation_new/Helpers.h" -#include "tests/validation_new/fixtures/ConvolutionLayerFixture.h" - -#include <random> - -namespace arm_compute -{ -namespace test -{ -namespace validation -{ -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class DirectConvolutionValidationFixedPointFixture : public ConvolutionValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T> -{ -public: - template <typename...> - void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels, DataType data_type, int fractional_bits) - { - const TensorShape weights_shape(kernel_size, kernel_size, input_shape.z(), num_kernels); - const TensorShape bias_shape(num_kernels); - const PadStrideInfo info(stride_x, stride_y, pad_x, pad_y, DimensionRoundingType::FLOOR); - const TensorShape output_shape = get_output_shape(input_shape, weights_shape, info); - - ConvolutionValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, weights_shape, bias_shape, output_shape, info, data_type, fractional_bits); - } - -private: - TensorShape get_output_shape(TensorShape in_shape, TensorShape kernel_shape, const PadStrideInfo &info) - { - TensorShape out_shape(in_shape); - const std::pair<unsigned int, unsigned int> scaled_dims = scaled_dimensions(in_shape.x(), - in_shape.y(), - kernel_shape.x(), - kernel_shape.y(), - info); - out_shape.set(0, scaled_dims.first); - out_shape.set(1, scaled_dims.second); - out_shape.set(2, kernel_shape[3]); - return out_shape; - } -}; - -template <typename TensorType, typename AccessorType, typename FunctionType, typename T> -class DirectConvolutionValidationFixture : public DirectConvolutionValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T> -{ -public: - template <typename...> - void setup(TensorShape input_shape, int stride_x, int stride_y, int pad_x, int pad_y, unsigned int kernel_size, unsigned int num_kernels, DataType data_type) - { - DirectConvolutionValidationFixedPointFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, stride_x, stride_y, pad_x, pad_y, kernel_size, num_kernels, data_type, 0); - } -}; -} // namespace validation -} // namespace test -} // namespace arm_compute |