| /* |
| * Copyright (c) 2020-2021 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_POOLING_LAYER_FIXTURE |
| #define ARM_COMPUTE_TEST_POOLING_LAYER_FIXTURE |
| |
| #include "arm_compute/core/TensorShape.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "arm_compute/runtime/Tensor.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/reference/MaxUnpoolingLayer.h" |
| #include "tests/validation/reference/PoolingLayer.h" |
| #include <random> |
| namespace arm_compute |
| { |
| namespace test |
| { |
| namespace validation |
| { |
| template <typename TensorType, typename AccessorType, typename PoolingFunctionType, typename MaxUnpoolingFunctionType, typename T> |
| class MaxUnpoolingLayerValidationGenericFixture : public framework::Fixture |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, PoolingLayerInfo pool_info, DataType data_type, DataLayout data_layout) |
| { |
| std::mt19937 gen(library->seed()); |
| std::uniform_int_distribution<> offset_dis(0, 20); |
| const float scale = data_type == DataType::QASYMM8_SIGNED ? 1.f / 127.f : 1.f / 255.f; |
| const int scale_in = data_type == DataType::QASYMM8_SIGNED ? -offset_dis(gen) : offset_dis(gen); |
| const int scale_out = data_type == DataType::QASYMM8_SIGNED ? -offset_dis(gen) : offset_dis(gen); |
| const QuantizationInfo input_qinfo(scale, scale_in); |
| const QuantizationInfo output_qinfo(scale, scale_out); |
| _pool_info = pool_info; |
| _target = compute_target(shape, pool_info, data_type, data_layout, input_qinfo, output_qinfo); |
| _reference = compute_reference(shape, pool_info, data_type, input_qinfo, output_qinfo); |
| } |
| |
| protected: |
| template <typename U> |
| void fill(U &&tensor) |
| { |
| if(tensor.data_type() == DataType::F32) |
| { |
| std::uniform_real_distribution<float> distribution(-1.0f, 1.0f); |
| library->fill(tensor, distribution, 0); |
| } |
| else if(tensor.data_type() == DataType::F16) |
| { |
| arm_compute::utils::uniform_real_distribution_16bit<half> distribution{ -1.0f, 1.0f }; |
| library->fill(tensor, distribution, 0); |
| } |
| else // data type is quantized_asymmetric |
| { |
| library->fill_tensor_uniform(tensor, 0); |
| } |
| } |
| |
| TensorType compute_target(TensorShape input_shape, PoolingLayerInfo pool_info, |
| DataType data_type, DataLayout data_layout, |
| QuantizationInfo input_qinfo, QuantizationInfo output_qinfo) |
| { |
| // Change shape in case of NHWC. |
| if(data_layout == DataLayout::NHWC) |
| { |
| permute(input_shape, PermutationVector(2U, 0U, 1U)); |
| } |
| |
| // Create tensors |
| TensorType src = create_tensor<TensorType>(input_shape, data_type, 1, input_qinfo, data_layout); |
| const TensorShape dst_shape = misc::shape_calculator::compute_pool_shape(*(src.info()), pool_info); |
| TensorType dst = create_tensor<TensorType>(dst_shape, data_type, 1, output_qinfo, data_layout); |
| TensorType unpooled = create_tensor<TensorType>(input_shape, data_type, 1, output_qinfo, data_layout); |
| TensorType indices = create_tensor<TensorType>(dst_shape, DataType::U32, 1, output_qinfo, data_layout); |
| |
| // Create and configure function |
| PoolingFunctionType pool_layer; |
| pool_layer.configure(&src, &dst, pool_info, &indices); |
| // Create and configure function |
| |
| MaxUnpoolingFunctionType unpool_layer; |
| unpool_layer.configure(&dst, &indices, &unpooled, pool_info); |
| |
| ARM_COMPUTE_ASSERT(src.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(dst.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(indices.info()->is_resizable()); |
| |
| // Allocate tensors |
| src.allocator()->allocate(); |
| dst.allocator()->allocate(); |
| indices.allocator()->allocate(); |
| unpooled.allocator()->allocate(); |
| |
| ARM_COMPUTE_ASSERT(!src.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(!dst.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(!indices.info()->is_resizable()); |
| ARM_COMPUTE_ASSERT(!unpooled.info()->is_resizable()); |
| |
| // Fill tensors |
| fill(AccessorType(src)); |
| |
| // Compute function |
| pool_layer.run(); |
| unpool_layer.run(); |
| return unpooled; |
| } |
| |
| SimpleTensor<T> compute_reference(TensorShape input_shape, PoolingLayerInfo info, DataType data_type, |
| QuantizationInfo input_qinfo, QuantizationInfo output_qinfo) |
| { |
| SimpleTensor<T> src(input_shape, data_type, 1, input_qinfo); |
| SimpleTensor<uint32_t> indices{}; |
| // Fill reference |
| fill(src); |
| auto pooled_tensor = reference::pooling_layer<T>(src, info, output_qinfo, &indices); |
| return reference::max_unpooling_layer<T>(pooled_tensor, info, output_qinfo, indices, input_shape); |
| } |
| |
| TensorType _target{}; |
| SimpleTensor<T> _reference{}; |
| PoolingLayerInfo _pool_info{}; |
| }; |
| |
| template <typename TensorType, typename AccessorType, typename F1, typename F2, typename T> |
| class MaxUnpoolingLayerValidationFixture : public MaxUnpoolingLayerValidationGenericFixture<TensorType, AccessorType, F1, F2, T> |
| { |
| public: |
| template <typename...> |
| void setup(TensorShape shape, PoolingType pool_type, Size2D pool_size, PadStrideInfo pad_stride_info, DataType data_type, DataLayout data_layout) |
| { |
| MaxUnpoolingLayerValidationGenericFixture<TensorType, AccessorType, F1, F2, T>::setup(shape, PoolingLayerInfo(pool_type, pool_size, data_layout, pad_stride_info, true), |
| data_type, data_layout); |
| } |
| }; |
| |
| } // namespace validation |
| } // namespace test |
| } // namespace arm_compute |
| #endif /* ARM_COMPUTE_TEST_POOLING_LAYER_FIXTURE */ |