| /* |
| * 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_SPACE_TO_BATCH_LAYER_FIXTURE |
| #define ARM_COMPUTE_TEST_SPACE_TO_BATCH_LAYER_FIXTURE |
| |
| #include "tests/Globals.h" |
| #include "tests/framework/Asserts.h" |
| #include "tests/framework/Fixture.h" |
| #include "tests/validation/reference/SpaceToBatch.h" |
| |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class SpaceToBatchLayerValidationGenericFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape input_shape, TensorShape block_shape_shape, TensorShape paddings_shape, TensorShape output_shape, |
| DataType data_type, DataLayout data_layout, QuantizationInfo quantization_info) |
| { |
| _target = compute_target(input_shape, block_shape_shape, paddings_shape, output_shape, data_type, data_layout, quantization_info); |
| _reference = compute_reference(input_shape, block_shape_shape, paddings_shape, output_shape, data_type, quantization_info); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor, int i) |
| { |
| library->fill_tensor_uniform(tensor, i); |
| } |
| |
| template <typename U> |
| void fill_pad(U &&tensor) |
| { |
| library->fill_tensor_value(tensor, 0); |
| } |
| |
| TensorType compute_target(TensorShape input_shape, const TensorShape &block_shape_shape, const TensorShape &paddings_shape, TensorShape output_shape, |
| DataType data_type, DataLayout data_layout, QuantizationInfo quantization_info) |
| { |
| if(data_layout == DataLayout::NHWC) |
| { |
| permute(input_shape, PermutationVector(2U, 0U, 1U)); |
| permute(output_shape, PermutationVector(2U, 0U, 1U)); |
| } |
| |
| // Create tensors |
| TensorType input = create_tensor<TensorType>(input_shape, data_type, 1, quantization_info, data_layout); |
| TensorType block_shape = create_tensor<TensorType>(block_shape_shape, DataType::S32); |
| TensorType paddings = create_tensor<TensorType>(paddings_shape, DataType::S32); |
| TensorType output = create_tensor<TensorType>(output_shape, data_type, 1, quantization_info, data_layout); |
| |
| // Create and configure function |
| FunctionType space_to_batch; |
| space_to_batch.configure(&input, &block_shape, &paddings, &output); |
| |
| ARM_COMPUTE_ASSERT(input.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(block_shape.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(paddings.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(output.info()->is_resizable()); |
| |
| // Allocate tensors |
| input.allocator()->allocate(); |
| block_shape.allocator()->allocate(); |
| paddings.allocator()->allocate(); |
| output.allocator()->allocate(); |
| |
| ARM_COMPUTE_ASSERT(!input.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(!block_shape.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(!paddings.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(!output.info()->is_resizable()); |
| |
| // Fill tensors |
| fill(AccessorType(input), 0); |
| fill_pad(AccessorType(paddings)); |
| { |
| auto block_shape_data = AccessorType(block_shape); |
| const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); |
| for(unsigned int i = 0; i < block_shape_shape.x(); ++i) |
| { |
| static_cast<int32_t *>(block_shape_data.data())[i] = input_shape[i + idx_width] / output_shape[i + idx_width]; |
| } |
| } |
| // Compute function |
| space_to_batch.run(); |
| |
| return output; |
| } |
| |
| SimpleTensor<T> compute_reference(const TensorShape &input_shape, const TensorShape &block_shape_shape, const TensorShape &paddings_shape, |
| const TensorShape &output_shape, DataType data_type, QuantizationInfo quantization_info) |
| { |
| // Create reference |
| SimpleTensor<T> input{ input_shape, data_type, 1, quantization_info }; |
| SimpleTensor<int32_t> block_shape{ block_shape_shape, DataType::S32 }; |
| SimpleTensor<int32_t> paddings{ paddings_shape, DataType::S32 }; |
| |
| // Fill reference |
| fill(input, 0); |
| fill_pad(paddings); |
| for(unsigned int i = 0; i < block_shape_shape.x(); ++i) |
| { |
| block_shape[i] = input_shape[i] / output_shape[i]; |
| } |
| |
| // Compute reference |
| return reference::space_to_batch(input, block_shape, paddings, output_shape); |
| } |
| |
| TensorType _target{}; |
| SimpleTensor<T> _reference{}; |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class SpaceToBatchLayerValidationFixture : public SpaceToBatchLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape input_shape, TensorShape block_shape_shape, TensorShape paddings_shape, TensorShape output_shape, |
| DataType data_type, DataLayout data_layout) |
| { |
| SpaceToBatchLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, block_shape_shape, paddings_shape, output_shape, data_type, data_layout, QuantizationInfo()); |
| } |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |
| class SpaceToBatchLayerValidationQuantizedFixture : public SpaceToBatchLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape input_shape, TensorShape block_shape_shape, TensorShape paddings_shape, TensorShape output_shape, |
| DataType data_type, DataLayout data_layout, QuantizationInfo quantization_info) |
| { |
| SpaceToBatchLayerValidationGenericFixture<TensorType, AccessorType, FunctionType, T>::setup(input_shape, block_shape_shape, paddings_shape, output_shape, data_type, data_layout, quantization_info); |
| } |
| }; |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_SPACE_TO_BATCH_LAYER_FIXTURE */ |