| /* |
| * Copyright (c) 2018-2019 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_STACK_LAYER_FIXTURE |
| #define ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE |
| |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.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/Helpers.h" |
| #include "tests/validation/reference/StackLayer.h" |
| #include "tests/validation/reference/Utils.h" |
| |
| #include <random> |
| #include <vector> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| using namespace arm_compute::misc::shape_calculator; |
| |
| template <typename TensorType, typename AbstractTensorType, typename AccessorType, typename FunctionType, typename T> |
| class StackLayerValidationFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape_src, int axis, DataType data_type, int num_tensors) |
| { |
| _target = compute_target(shape_src, axis, data_type, num_tensors); |
| _reference = compute_reference(shape_src, axis, data_type, num_tensors); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor, unsigned int i) |
| { |
| library->fill_tensor_uniform(tensor, i); |
| } |
| |
| TensorType compute_target(TensorShape shape_src, int axis, DataType data_type, int num_tensors) |
| { |
| std::vector<TensorType> tensors(num_tensors); |
| std::vector<AbstractTensorType *> src(num_tensors); |
| |
| // Create vector of input tensors |
| for(int i = 0; i < num_tensors; ++i) |
| { |
| tensors[i] = create_tensor<TensorType>(shape_src, data_type); |
| src[i] = &(tensors[i]); |
| ARM_COMPUTE_EXPECT(tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS); |
| } |
| |
| // Create tensors |
| TensorType dst; |
| |
| // The output tensor will be auto-initialized within the function |
| |
| // Create and configure function |
| FunctionType stack; |
| stack.configure(src, axis, &dst); |
| |
| // Allocate and fill the input tensors |
| for(int i = 0; i < num_tensors; ++i) |
| { |
| ARM_COMPUTE_EXPECT(tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS); |
| tensors[i].allocator()->allocate(); |
| ARM_COMPUTE_EXPECT(!tensors[i].info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Fill input tensor |
| fill(AccessorType(tensors[i]), i); |
| } |
| |
| // Allocate output tensor |
| dst.allocator()->allocate(); |
| |
| ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Compute stack function |
| stack.run(); |
| |
| return dst; |
| } |
| |
| SimpleTensor<T> compute_reference(const TensorShape &shape_src, int axis, DataType data_type, int num_tensors) |
| { |
| std::vector<SimpleTensor<T>> src; |
| |
| for(int i = 0; i < num_tensors; ++i) |
| { |
| src.emplace_back(std::move(SimpleTensor<T>(shape_src, data_type, 1))); |
| |
| fill(src[i], i); |
| } |
| |
| // Wrap around negative values |
| const unsigned int axis_u = wrap_around(axis, static_cast<int>(shape_src.num_dimensions() + 1)); |
| |
| const TensorShape shape_dst = compute_stack_shape(TensorInfo(shape_src, 1, data_type), axis_u, num_tensors); |
| |
| return reference::stack_layer<T>(src, shape_dst, data_type, axis_u); |
| } |
| |
| TensorType _target{}; |
| SimpleTensor<T> _reference{}; |
| }; |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_STACK_LAYER_FIXTURE */ |