| /* |
| * Copyright (c) 2018-2021 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_PADLAYER_FIXTURE |
| #define ARM_COMPUTE_TEST_PADLAYER_FIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "tests/AssetsLibrary.h" |
| #include "tests/Globals.h" |
| #include "tests/IAccessor.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/validation/Helpers.h" |
| #include "tests/validation/reference/PadLayer.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class PaddingFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type, const PaddingList &padding, const PaddingMode mode) |
| { |
| PaddingList clamped_padding = padding; |
| if(mode != PaddingMode::CONSTANT) |
| { |
| // Clamp padding to prevent applying more than is possible. |
| for(uint32_t i = 0; i < padding.size(); ++i) |
| { |
| if(mode == PaddingMode::REFLECT) |
| { |
| clamped_padding[i].first = std::min(static_cast<uint64_t>(padding[i].first), static_cast<uint64_t>(shape[i] - 1)); |
| clamped_padding[i].second = std::min(static_cast<uint64_t>(padding[i].second), static_cast<uint64_t>(shape[i] - 1)); |
| } |
| else |
| { |
| clamped_padding[i].first = std::min(static_cast<uint64_t>(padding[i].first), static_cast<uint64_t>(shape[i])); |
| clamped_padding[i].second = std::min(static_cast<uint64_t>(padding[i].second), static_cast<uint64_t>(shape[i])); |
| } |
| } |
| } |
| _target = compute_target(shape, data_type, clamped_padding, mode); |
| _reference = compute_reference(shape, data_type, clamped_padding, mode); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor, int i) |
| { |
| library->fill_tensor_uniform(tensor, i); |
| } |
| |
| TensorType compute_target(const TensorShape &shape, |
| DataType data_type, |
| const PaddingList &paddings, |
| const PaddingMode mode) |
| { |
| // Create tensors |
| TensorType src = create_tensor<TensorType>(shape, data_type); |
| TensorType dst; |
| |
| TensorType const_val = create_tensor<TensorType>(TensorShape(1), data_type); |
| const_val.allocator()->allocate(); |
| fill(AccessorType(const_val), 1); |
| T const_value = *static_cast<T *>(AccessorType(const_val)(Coordinates(0))); |
| |
| // Create and configure function |
| FunctionType padding; |
| padding.configure(&src, &dst, paddings, const_value, mode); |
| |
| ARM_COMPUTE_ASSERT(src.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); |
| |
| // Fill tensors |
| fill(AccessorType(src), 0); |
| |
| // Compute function |
| padding.run(); |
| return dst; |
| } |
| |
| SimpleTensor<T> compute_reference(const TensorShape &shape, DataType data_type, |
| const PaddingList &paddings, const PaddingMode mode) |
| { |
| // Create reference tensor |
| SimpleTensor<T> src{ shape, data_type }; |
| SimpleTensor<T> const_val{ TensorShape(1), data_type }; |
| |
| // Fill reference tensor |
| fill(src, 0); |
| fill(const_val, 1); |
| |
| return reference::pad_layer(src, paddings, const_val[0], mode); |
| } |
| |
| TensorType _target{}; |
| SimpleTensor<T> _reference{}; |
| }; |
| |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_PADLAYER_FIXTURE */ |