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Diffstat (limited to 'tests/validation/fixtures/DepthConcatenateLayerFixture.h')
| -rw-r--r-- | tests/validation/fixtures/DepthConcatenateLayerFixture.h | 177 |
1 files changed, 177 insertions, 0 deletions
diff --git a/tests/validation/fixtures/DepthConcatenateLayerFixture.h b/tests/validation/fixtures/DepthConcatenateLayerFixture.h new file mode 100644 index 0000000000..2a2e96e821 --- /dev/null +++ b/tests/validation/fixtures/DepthConcatenateLayerFixture.h @@ -0,0 +1,177 @@ +/* + * 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_DEPTHCONCATENATE_LAYER_FIXTURE +#define ARM_COMPUTE_TEST_DEPTHCONCATENATE_LAYER_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/CPP/DepthConcatenateLayer.h" +#include "tests/validation/Helpers.h" + +#include <random> + +namespace arm_compute +{ +class ITensor; +class Tensor; +class ICLTensor; +class CLTensor; + +namespace test +{ +namespace validation +{ +template <typename TensorType, typename AccessorType, typename FunctionType, typename T> +class DepthConcatenateValidationFixture : public framework::Fixture +{ +public: + template <typename...> + void setup(TensorShape shape, DataType data_type) + { + // 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))); + } + } + + _target = compute_target(shapes, data_type); + _reference = compute_reference(shapes, data_type); + } + +protected: + template <typename U> + void fill(U &&tensor, int i) + { + library->fill_tensor_uniform(tensor, i); + } + + TensorType compute_target(std::vector<TensorShape> shapes, DataType data_type) + { + using ITensorType = typename std::conditional<std::is_same<TensorType, Tensor>::value, ITensor, ICLTensor>::type; + + std::vector<TensorType> srcs; + std::vector<ITensorType *> src_ptrs; + + // Create tensors + srcs.reserve(shapes.size()); + + for(const auto &shape : 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(shapes); + TensorType dst = create_tensor<TensorType>(dst_shape, data_type, 1, _fractional_bits); + + // Create and configure function + FunctionType depth_concat; + depth_concat.configure(src_ptrs, &dst); + + for(auto &src : srcs) + { + ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); + } + + ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Allocate tensors + for(auto &src : srcs) + { + src.allocator()->allocate(); + ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); + } + + dst.allocator()->allocate(); + ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); + + // Fill tensors + int i = 0; + for(auto &src : srcs) + { + fill(AccessorType(src), i++); + } + + // Compute function + depth_concat.run(); + + return dst; + } + + SimpleTensor<T> compute_reference(std::vector<TensorShape> shapes, DataType data_type) + { + std::vector<SimpleTensor<T>> srcs; + + // Create and fill tensors + int i = 0; + for(const auto &shape : shapes) + { + srcs.emplace_back(shape, data_type, 1, _fractional_bits); + fill(srcs.back(), i++); + } + + return reference::depthconcatenate_layer<T>(srcs); + } + + TensorType _target{}; + SimpleTensor<T> _reference{}; + +private: + int _fractional_bits{ 1 }; +}; +} // namespace validation +} // namespace test +} // namespace arm_compute +#endif /* ARM_COMPUTE_TEST_DEPTHCONCATENATE_LAYER_FIXTURE */ |