| /* |
| * 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_GATHER_FIXTURE |
| #define ARM_COMPUTE_TEST_GATHER_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/Gather.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class GatherFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape input_shape, TensorShape indices_shape, int axis, DataType data_type) |
| { |
| _target = compute_target(input_shape, data_type, axis, indices_shape); |
| _reference = compute_reference(input_shape, data_type, axis, indices_shape); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor) |
| { |
| library->fill_tensor_uniform(tensor, 0); |
| } |
| |
| template <typename U> |
| void generate_indices(U &&indices, const TensorShape &input_shape, uint32_t actual_axis, TensorShape indices_shape) |
| { |
| std::mt19937 gen(library->seed()); |
| uint32_t *indices_ptr = static_cast<uint32_t *>(indices.data()); |
| |
| std::uniform_int_distribution<uint32_t> dist_index(0, input_shape[actual_axis] - 1); |
| //Let's consider 1D indices |
| for(unsigned int ind = 0; ind < indices_shape[0]; ind++) |
| { |
| indices_ptr[ind] = dist_index(gen); |
| } |
| } |
| |
| TensorType compute_target(const TensorShape &input_shape, |
| DataType data_type, |
| int axis, |
| const TensorShape indices_shape) |
| { |
| // Create tensors |
| TensorType src = create_tensor<TensorType>(input_shape, data_type); |
| TensorType indices_tensor = create_tensor<TensorType>(indices_shape, DataType::U32); |
| const uint32_t actual_axis = wrap_around(axis, static_cast<int>(input_shape.num_dimensions())); |
| TensorShape output_shape = arm_compute::misc::shape_calculator::compute_gather_shape(input_shape, indices_shape, actual_axis); |
| TensorType dst = create_tensor<TensorType>(output_shape, data_type); |
| |
| // Create and configure function |
| FunctionType gather; |
| gather.configure(&src, &indices_tensor, &dst, axis); |
| |
| ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(indices_tensor.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| indices_tensor.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| |
| ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(!indices_tensor.info()->is_resizable(), framework::LogLevel::ERRORS); |
| ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS); |
| |
| // Fill tensors |
| fill(AccessorType(src)); |
| generate_indices(AccessorType(indices_tensor), input_shape, actual_axis, indices_shape); |
| |
| // Compute function |
| gather.run(); |
| |
| return dst; |
| } |
| |
| SimpleTensor<T> compute_reference(const TensorShape &input_shape, |
| DataType data_type, |
| int axis, |
| const TensorShape indices_shape) |
| { |
| // Create reference tensor |
| SimpleTensor<T> src{ input_shape, data_type }; |
| SimpleTensor<uint32_t> indices_tensor{ indices_shape, DataType::U32 }; |
| const uint32_t actual_axis = wrap_around(axis, static_cast<int>(input_shape.num_dimensions())); |
| |
| // Fill reference tensor |
| fill(src); |
| generate_indices(indices_tensor, input_shape, actual_axis, indices_shape); |
| |
| return reference::gather(src, indices_tensor, actual_axis); |
| } |
| |
| TensorType _target{}; |
| SimpleTensor<T> _reference{}; |
| }; |
| |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| |
| #endif /* ARM_COMPUTE_TEST_GATHER_FIXTURE */ |