| /* |
| * Copyright (c) 2017-2018 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_DEPTHCONCATENATELAYERFIXTURE |
| #define ARM_COMPUTE_TEST_DEPTHCONCATENATELAYERFIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Utils.h" |
| #include "tests/AssetsLibrary.h" |
| #include "tests/Globals.h" |
| #include "tests/Utils.h" |
| #include "tests/framework/Fixture.h" |
| |
| #include <random> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace benchmark |
| { |
| /** Fixture that can be used for NE/CL/GC */ |
| template <typename TensorType, typename ITensorType, typename Function, typename AccessorType> |
| class DepthConcatenateLayerFixture : public framework::Fixture |
| { |
| public: |
| inline std::vector<TensorShape> generate_input_shapes(TensorShape shape) |
| { |
| // Create input shapes |
| std::mt19937 gen(library->seed()); |
| std::uniform_int_distribution<> num_dis(2, 6); |
| const int num_tensors = num_dis(gen); |
| |
| std::vector<TensorShape> shapes(num_tensors, shape); |
| std::uniform_int_distribution<> depth_dis(1, 7); |
| std::bernoulli_distribution mutate_dis(0.25f); |
| std::uniform_real_distribution<> change_dis(-0.25f, 0.f); |
| |
| // Generate more shapes based on the input |
| for(auto &s : shapes) |
| { |
| // Set the depth of the tensor |
| s.set(2, depth_dis(gen)); |
| |
| // Randomly change the first dimension |
| if(mutate_dis(gen)) |
| { |
| // Decrease the dimension by a small percentage. Don't increase |
| // as that could make tensor too large. Also the change must be |
| // an even number. Otherwise out depth concatenate fails. |
| s.set(0, s[0] + 2 * static_cast<int>(s[0] * change_dis(gen))); |
| } |
| |
| // Repeat the same as above for the second dimension |
| if(mutate_dis(gen)) |
| { |
| s.set(1, s[1] + 2 * static_cast<int>(s[1] * change_dis(gen))); |
| } |
| } |
| |
| return shapes; |
| } |
| |
| template <typename...> |
| void setup(TensorShape shape, DataType data_type) |
| { |
| // Generate input shapes |
| std::vector<TensorShape> src_shapes = generate_input_shapes(shape); |
| |
| // Create tensors |
| _srcs.reserve(src_shapes.size()); |
| |
| std::vector<ITensorType *> src_ptrs; |
| |
| for(const auto &shape : src_shapes) |
| { |
| _srcs.emplace_back(create_tensor<TensorType>(shape, data_type, 1, _fractional_bits)); |
| src_ptrs.emplace_back(&_srcs.back()); |
| } |
| |
| TensorShape dst_shape = calculate_depth_concatenate_shape(src_ptrs); |
| _dst = create_tensor<TensorType>(dst_shape, data_type, 1, _fractional_bits); |
| |
| _depth_concat.configure(src_ptrs, &_dst); |
| |
| for(auto &src : _srcs) |
| { |
| src.allocator()->allocate(); |
| } |
| |
| _dst.allocator()->allocate(); |
| } |
| |
| void run() |
| { |
| _depth_concat.run(); |
| } |
| |
| void sync() |
| { |
| sync_if_necessary<TensorType>(); |
| sync_tensor_if_necessary<TensorType>(_dst); |
| } |
| |
| void teardown() |
| { |
| for(auto &src : _srcs) |
| { |
| src.allocator()->free(); |
| } |
| |
| _srcs.clear(); |
| |
| _dst.allocator()->free(); |
| } |
| |
| private: |
| std::vector<TensorType> _srcs{}; |
| TensorType _dst{}; |
| Function _depth_concat{}; |
| int _fractional_bits{ 1 }; |
| }; |
| } // namespace benchmark |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_DEPTHCONCATENATELAYERFIXTURE */ |