| /* |
| * 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_CONVOLUTIONLAYERFIXTURE |
| #define ARM_COMPUTE_TEST_CONVOLUTIONLAYERFIXTURE |
| |
| #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" |
| |
| #ifdef ARM_COMPUTE_GC |
| #include "arm_compute/runtime/GLES_COMPUTE/GCScheduler.h" |
| #include "tests/GLES_COMPUTE/Helper.h" |
| |
| using namespace arm_compute::test::gles_compute; |
| #endif /* ARM_COMPUTE_GC */ |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| /** Fixture that can be used for NEON and CL */ |
| template <typename TensorType, typename Function, typename Accessor> |
| class ConvolutionLayerFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape src_shape, TensorShape weights_shape, TensorShape biases_shape, TensorShape dst_shape, PadStrideInfo info, DataType data_type, int batches) |
| { |
| // Set batched in source and destination shapes |
| const unsigned int fixed_point_position = 4; |
| src_shape.set(3 /* batch */, batches); |
| dst_shape.set(3 /* batch */, batches); |
| |
| // Create tensors |
| src = create_tensor<TensorType>(src_shape, data_type, 1, fixed_point_position); |
| weights = create_tensor<TensorType>(weights_shape, data_type, 1, fixed_point_position); |
| biases = create_tensor<TensorType>(biases_shape, data_type, 1, fixed_point_position); |
| dst = create_tensor<TensorType>(dst_shape, data_type, 1, fixed_point_position); |
| |
| // Create and configure function |
| conv_layer.configure(&src, &weights, &biases, &dst, info); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| weights.allocator()->allocate(); |
| biases.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| // Fill tensors |
| library->fill_tensor_uniform(Accessor(src), 0); |
| library->fill_tensor_uniform(Accessor(weights), 1); |
| library->fill_tensor_uniform(Accessor(biases), 2); |
| } |
| |
| void run() |
| { |
| conv_layer.run(); |
| #ifdef ARM_COMPUTE_GC |
| if(opengles31_is_available() && std::is_same<typename std::decay<TensorType>::type, arm_compute::GCTensor>::value) |
| { |
| GCScheduler::get().sync(); |
| force_sync_tensor(src); |
| force_sync_tensor(dst); |
| } |
| #endif /* ARM_COMPUTE_GC */ |
| } |
| |
| void teardown() |
| { |
| src.allocator()->free(); |
| weights.allocator()->free(); |
| biases.allocator()->free(); |
| dst.allocator()->free(); |
| } |
| |
| private: |
| TensorType src{}; |
| TensorType weights{}; |
| TensorType biases{}; |
| TensorType dst{}; |
| Function conv_layer{}; |
| }; |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_CONVOLUTIONLAYERFIXTURE */ |