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Diffstat (limited to 'tests/benchmark/fixtures/PadLayerFixture.h')
| -rw-r--r-- | tests/benchmark/fixtures/PadLayerFixture.h | 109 |
1 files changed, 0 insertions, 109 deletions
diff --git a/tests/benchmark/fixtures/PadLayerFixture.h b/tests/benchmark/fixtures/PadLayerFixture.h deleted file mode 100644 index 2f482a0abf..0000000000 --- a/tests/benchmark/fixtures/PadLayerFixture.h +++ /dev/null @@ -1,109 +0,0 @@ -/* - * Copyright (c) 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. - */ -#ifndef ARM_COMPUTE_TEST_PADLAYERFIXTURE -#define ARM_COMPUTE_TEST_PADLAYERFIXTURE - -#include "arm_compute/core/TensorShape.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/utils/misc/ShapeCalculator.h" -#include "tests/Globals.h" -#include "tests/Utils.h" -#include "tests/framework/Fixture.h" - -namespace arm_compute -{ -namespace test -{ -namespace benchmark -{ -/** Fixture that can be used for NEON and CL */ - -template <typename TensorType, typename Accessor, typename Function, typename T> -class PaddingFixture : public framework::Fixture -{ -public: - template <typename...> - void setup(TensorShape shape, DataType data_type, const PaddingList &paddings, const PaddingMode mode) - { - PaddingList clamped_padding = paddings; - if(mode != PaddingMode::CONSTANT) - { - // Clamp padding to prevent applying more than is possible. - for(uint32_t i = 0; i < paddings.size(); ++i) - { - if(mode == PaddingMode::REFLECT) - { - clamped_padding[i].first = std::min(static_cast<uint64_t>(paddings[i].first), static_cast<uint64_t>(shape[i] - 1)); - clamped_padding[i].second = std::min(static_cast<uint64_t>(paddings[i].second), static_cast<uint64_t>(shape[i] - 1)); - } - else - { - clamped_padding[i].first = std::min(static_cast<uint64_t>(paddings[i].first), static_cast<uint64_t>(shape[i])); - clamped_padding[i].second = std::min(static_cast<uint64_t>(paddings[i].second), static_cast<uint64_t>(shape[i])); - } - } - } - - const PixelValue const_value = PixelValue(static_cast<T>(0)); - - TensorShape output_shape = arm_compute::misc::shape_calculator::compute_padded_shape(shape, paddings); - - // Create tensors - src = create_tensor<TensorType>(shape, data_type); - dst = create_tensor<TensorType>(output_shape, data_type); - - // Create and configure function - pad_layer.configure(&src, &dst, paddings, const_value, mode); - - // Allocate tensors - src.allocator()->allocate(); - dst.allocator()->allocate(); - } - - void run() - { - pad_layer.run(); - } - - void sync() - { - sync_if_necessary<TensorType>(); - sync_tensor_if_necessary<TensorType>(dst); - } - - void teardown() - { - src.allocator()->free(); - dst.allocator()->free(); - } - -private: - TensorType src{}; - TensorType dst{}; - Function pad_layer{}; -}; -} // namespace benchmark -} // namespace test -} // namespace arm_compute -#endif /* ARM_COMPUTE_TEST_PADLAYERFIXTURE */ |