| /* |
| * Copyright (c) 2018-2021 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_UNSTACK_FIXTURE |
| #define ARM_COMPUTE_TEST_UNSTACK_FIXTURE |
| |
| #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/Unstack.h" |
| |
| #include <random> |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename ITensorType, typename AccessorType, typename FunctionType, typename T> |
| class UnstackValidationFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape input_shape, int axis, int num, DataType data_type) |
| { |
| _target = compute_target(input_shape, axis, num, data_type); |
| _reference = compute_reference(input_shape, axis, num, data_type); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor, int i) |
| { |
| library->fill_tensor_uniform(tensor, i); |
| } |
| |
| std::vector<TensorType> compute_target(TensorShape input_shape, int axis, unsigned int num, DataType data_type) |
| { |
| TensorType input_tensor = create_tensor<TensorType>(input_shape, data_type); |
| const unsigned int axis_u = wrap_around(axis, static_cast<int>(input_shape.num_dimensions())); |
| const unsigned int axis_size = input_shape[axis_u]; |
| const unsigned int num_slices = std::min(num, axis_size); |
| std::vector<TensorType> output_slices(num_slices); |
| std::vector<ITensorType *> output_ptrs(num_slices); |
| for(size_t k = 0; k < num_slices; ++k) |
| { |
| output_ptrs[k] = &output_slices[k]; |
| } |
| // Create and configure function |
| FunctionType unstack; |
| unstack.configure(&input_tensor, output_ptrs, axis); |
| // Allocate tensors |
| for(auto &out : output_slices) |
| { |
| out.allocator()->allocate(); |
| ARM_COMPUTE_ASSERT(!out.info()->is_resizable()); |
| } |
| input_tensor.allocator()->allocate(); |
| ARM_COMPUTE_ASSERT(!input_tensor.info()->is_resizable()); |
| fill(AccessorType(input_tensor), 0); |
| // Compute function |
| unstack.run(); |
| return output_slices; |
| } |
| |
| std::vector<SimpleTensor<T>> compute_reference(TensorShape input_shape, int axis, unsigned int num, DataType data_type) |
| { |
| const unsigned int axis_u = wrap_around(axis, static_cast<int>(input_shape.num_dimensions())); |
| const unsigned int axis_size = input_shape[axis_u]; |
| const unsigned int num_output_tensors = (num == 0) ? axis_size : std::min(axis_size, num); |
| // create and fill input tensor |
| SimpleTensor<T> input_tensor{ input_shape, data_type }; |
| fill(input_tensor, 0); |
| // create output tensors |
| const TensorShape slice_shape = arm_compute::misc::shape_calculator::calculate_unstack_shape(input_shape, axis_u); |
| std::vector<SimpleTensor<T>> output_tensors(num_output_tensors); |
| for(size_t k = 0; k < num_output_tensors; ++k) |
| { |
| output_tensors[k] = SimpleTensor<T>(slice_shape, data_type); |
| } |
| |
| return reference::unstack<T>(input_tensor, output_tensors, axis); |
| } |
| |
| std::vector<TensorType> _target{}; |
| std::vector<SimpleTensor<T>> _reference{}; |
| }; |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_UNSTACK_FIXTURE */ |