139 lines
4.7 KiB
C++
139 lines
4.7 KiB
C++
/*
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* Copyright (c) 2018-2019 Arm Limited.
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*
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* SPDX-License-Identifier: MIT
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*
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* Permission is hereby granted, free of charge, to any person obtaining a copy
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* of this software and associated documentation files (the "Software"), to
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* deal in the Software without restriction, including without limitation the
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* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
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* sell copies of the Software, and to permit persons to whom the Software is
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* furnished to do so, subject to the following conditions:
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*
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* The above copyright notice and this permission notice shall be included in all
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* copies or substantial portions of the Software.
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*
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* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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* SOFTWARE.
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*/
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#ifndef ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE
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#define ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE
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#include "arm_compute/core/Helpers.h"
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#include "arm_compute/core/TensorShape.h"
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#include "arm_compute/core/Types.h"
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#include "arm_compute/core/utils/misc/ShapeCalculator.h"
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#include "tests/AssetsLibrary.h"
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#include "tests/Globals.h"
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#include "tests/IAccessor.h"
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#include "tests/framework/Asserts.h"
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#include "tests/framework/Fixture.h"
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#include "tests/validation/Helpers.h"
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#include "tests/validation/reference/StackLayer.h"
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#include "tests/validation/reference/Utils.h"
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#include <random>
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#include <vector>
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namespace arm_compute
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{
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namespace test
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{
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namespace validation
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{
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using namespace arm_compute::misc::shape_calculator;
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template <typename TensorType, typename AbstractTensorType, typename AccessorType, typename FunctionType, typename T>
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class StackLayerValidationFixture : public framework::Fixture
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{
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public:
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template <typename...>
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void setup(TensorShape shape_src, int axis, DataType data_type, int num_tensors)
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{
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_target = compute_target(shape_src, axis, data_type, num_tensors);
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_reference = compute_reference(shape_src, axis, data_type, num_tensors);
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}
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protected:
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template <typename U>
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void fill(U &&tensor, unsigned int i)
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{
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library->fill_tensor_uniform(tensor, i);
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}
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TensorType compute_target(TensorShape shape_src, int axis, DataType data_type, int num_tensors)
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{
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std::vector<TensorType> tensors(num_tensors);
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std::vector<AbstractTensorType *> src(num_tensors);
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// Create vector of input tensors
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for(int i = 0; i < num_tensors; ++i)
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{
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tensors[i] = create_tensor<TensorType>(shape_src, data_type);
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src[i] = &(tensors[i]);
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ARM_COMPUTE_EXPECT(tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS);
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}
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// Create tensors
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TensorType dst;
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// The output tensor will be auto-initialized within the function
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// Create and configure function
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FunctionType stack;
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stack.configure(src, axis, &dst);
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// Allocate and fill the input tensors
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for(int i = 0; i < num_tensors; ++i)
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{
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ARM_COMPUTE_EXPECT(tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS);
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tensors[i].allocator()->allocate();
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ARM_COMPUTE_EXPECT(!tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS);
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// Fill input tensor
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fill(AccessorType(tensors[i]), i);
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}
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// Allocate output tensor
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dst.allocator()->allocate();
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ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
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// Compute stack function
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stack.run();
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return dst;
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}
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SimpleTensor<T> compute_reference(const TensorShape &shape_src, int axis, DataType data_type, int num_tensors)
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{
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std::vector<SimpleTensor<T>> src;
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for(int i = 0; i < num_tensors; ++i)
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{
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src.emplace_back(std::move(SimpleTensor<T>(shape_src, data_type, 1)));
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fill(src[i], i);
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}
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// Wrap around negative values
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const unsigned int axis_u = wrap_around(axis, static_cast<int>(shape_src.num_dimensions() + 1));
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const TensorShape shape_dst = compute_stack_shape(TensorInfo(shape_src, 1, data_type), axis_u, num_tensors);
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return reference::stack_layer<T>(src, shape_dst, data_type, axis_u);
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}
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TensorType _target{};
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SimpleTensor<T> _reference{};
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};
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} // namespace validation
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} // namespace test
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} // namespace arm_compute
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#endif /* ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE */
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