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Diffstat (limited to 'tests/validation_new/fixtures/DepthConcatenateLayerFixture.h')
-rw-r--r-- | tests/validation_new/fixtures/DepthConcatenateLayerFixture.h | 177 |
1 files changed, 0 insertions, 177 deletions
diff --git a/tests/validation_new/fixtures/DepthConcatenateLayerFixture.h b/tests/validation_new/fixtures/DepthConcatenateLayerFixture.h deleted file mode 100644 index 601758f80e..0000000000 --- a/tests/validation_new/fixtures/DepthConcatenateLayerFixture.h +++ /dev/null @@ -1,177 +0,0 @@ -/* - * 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 "framework/Asserts.h" -#include "framework/Fixture.h" -#include "tests/AssetsLibrary.h" -#include "tests/Globals.h" -#include "tests/IAccessor.h" -#include "tests/validation_new/CPP/DepthConcatenateLayer.h" -#include "tests/validation_new/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 */ |