| /* |
| * Copyright (c) 2020 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. |
| */ |
| #include "src/core/NEON/kernels/NEMaxUnpoolingLayerKernel.h" |
| |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "src/core/CPP/Validate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| |
| #include "support/ToolchainSupport.h" |
| |
| namespace arm_compute |
| { |
| using namespace misc::shape_calculator; |
| |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info, const ITensorInfo *indices) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output, indices); |
| ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::F16, DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(indices, 1, DataType::U32); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, indices); |
| |
| int pool_stride_x = 0; |
| int pool_stride_y = 0; |
| PoolingType pool_type = pool_info.pool_type; |
| const PadStrideInfo pad_stride_info = pool_info.pad_stride_info; |
| std::tie(pool_stride_x, pool_stride_y) = pad_stride_info.stride(); |
| const int pool_size_x = pool_info.pool_size.width; |
| const int pool_size_y = pool_info.pool_size.height; |
| const Size2D pool_size(pool_size_x, pool_size_y); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG(pool_type != PoolingType::MAX, "Pooling indices only supported for MAX pooling method"); |
| ARM_COMPUTE_RETURN_ERROR_ON_MSG((pool_size != Size2D(2, 2)), "Pooling indices only supported for pool size 2x2"); |
| if(output->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| NEMaxUnpoolingLayerKernel::NEMaxUnpoolingLayerKernel() |
| : _func(nullptr), _input(nullptr), _output(nullptr), _indices(nullptr) |
| { |
| } |
| |
| void NEMaxUnpoolingLayerKernel::configure(const ITensor *input, const ITensor *indices, ITensor *output, const PoolingLayerInfo &pool_info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), pool_info, indices->info())); |
| |
| _input = input; |
| _output = output; |
| _indices = indices; |
| |
| switch(input->info()->data_type()) |
| { |
| case DataType::F32: |
| _func = &NEMaxUnpoolingLayerKernel::unpooling2<float>; |
| break; |
| case DataType::QASYMM8: |
| _func = &NEMaxUnpoolingLayerKernel::unpooling2<uint8_t>; |
| break; |
| case DataType::QASYMM8_SIGNED: |
| _func = &NEMaxUnpoolingLayerKernel::unpooling2<int8_t>; |
| break; |
| #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC |
| case DataType::F16: |
| _func = &NEMaxUnpoolingLayerKernel::unpooling2<float16_t>; |
| break; |
| #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */ |
| default: |
| break; |
| } |
| const TensorShape output_shape = compute_unpool_shape(*input->info(), pool_info); |
| auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape)); |
| |
| auto window = calculate_max_window(*input->info(), Steps()); |
| INEKernel::configure(window); |
| } |
| template <typename T> |
| void NEMaxUnpoolingLayerKernel::unpooling2(const Window &window) |
| { |
| Iterator input(_input, window); |
| Iterator indices(_indices, window); |
| auto out_ptr = reinterpret_cast<T *>(_output->buffer()); |
| const int out_stride_w = static_cast<int>(_output->info()->strides_in_bytes()[3]); |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| auto vindices = reinterpret_cast<uint32_t *>(indices.ptr()); |
| auto vinput = reinterpret_cast<T *>(input.ptr()); |
| out_ptr[id[3] * out_stride_w / sizeof(T) + *vindices] = *vinput; |
| }, |
| input, indices); |
| } |
| |
| Status NEMaxUnpoolingLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *indices, const ITensorInfo *output, const PoolingLayerInfo &pool_info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, indices, output); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, pool_info, indices)); |
| return Status{}; |
| } |
| |
| void NEMaxUnpoolingLayerKernel::run(const Window &window, const ThreadInfo &info) |
| { |
| ARM_COMPUTE_UNUSED(info); |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window); |
| ARM_COMPUTE_ERROR_ON(_func == nullptr); |
| // Run function |
| (this->*_func)(window); |
| } |
| } // namespace arm_compute |