| /* |
| * 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. |
| */ |
| #ifndef ARM_COMPUTE_TEST_DEQUANTIZATION_LAYER_FIXTURE |
| #define ARM_COMPUTE_TEST_DEQUANTIZATION_LAYER_FIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.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 Function, typename Accessor> |
| class DequantizationLayerFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type_src, DataType data_type_dst) |
| { |
| TensorShape shape_min_max = shape; |
| shape_min_max.set(Window::DimX, 2); |
| |
| // Remove Y and Z dimensions and keep the batches |
| shape_min_max.remove_dimension(1); |
| shape_min_max.remove_dimension(1); |
| |
| // Create tensors |
| src = create_tensor<TensorType>(shape, data_type_src); |
| dst = create_tensor<TensorType>(shape, data_type_dst); |
| min_max = create_tensor<TensorType>(shape_min_max, data_type_dst); |
| |
| // Create and configure function |
| dequantization_func.configure(&src, &dst, &min_max); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| min_max.allocator()->allocate(); |
| |
| // Fill tensors |
| library->fill_tensor_uniform(Accessor(src), 0); |
| } |
| |
| void run() |
| { |
| dequantization_func.run(); |
| } |
| |
| void sync() |
| { |
| sync_if_necessary<TensorType>(); |
| sync_tensor_if_necessary<TensorType>(dst); |
| } |
| |
| void teardown() |
| { |
| src.allocator()->free(); |
| dst.allocator()->free(); |
| min_max.allocator()->free(); |
| } |
| |
| private: |
| TensorType src{}; |
| TensorType dst{}; |
| TensorType min_max{}; |
| Function dequantization_func{}; |
| }; |
| } // namespace benchmark |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_DEQUANTIZATION_LAYER_FIXTURE */ |