| /* | |
| * Copyright (c) 2017-2022 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/cpu/kernels/CpuReshapeKernel.h" | |
| #include "arm_compute/core/Error.h" | |
| #include "arm_compute/core/Helpers.h" | |
| #include "arm_compute/core/ITensor.h" | |
| #include "arm_compute/core/TensorInfo.h" | |
| #include "arm_compute/core/Types.h" | |
| #include "arm_compute/core/Validate.h" | |
| #include "src/core/CPP/Validate.h" | |
| #include "src/core/NEON/INEKernel.h" | |
| #include "src/core/helpers/AutoConfiguration.h" | |
| #include "src/core/helpers/WindowHelpers.h" | |
| #include <cstdint> | |
| /** [NEReshapeLayerKernel Kernel] **/ | |
| namespace arm_compute | |
| { | |
| namespace cpu | |
| { | |
| namespace kernels | |
| { | |
| namespace | |
| { | |
| Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst) | |
| { | |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); | |
| // Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(src) is not needed here as this kernel doesn't use CPU FP16 instructions. | |
| ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN); | |
| if(dst->tensor_shape().total_size() != 0) | |
| { | |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); | |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst); | |
| ARM_COMPUTE_RETURN_ERROR_ON(src->tensor_shape().total_size() != dst->tensor_shape().total_size()); | |
| } | |
| return Status{}; | |
| } | |
| template <typename T> | |
| inline void reshape_tensor(const Window &window, const ITensor *src, ITensor *dst) | |
| { | |
| const TensorShape &src_shape = src->info()->tensor_shape(); | |
| const TensorShape &dst_shape = dst->info()->tensor_shape(); | |
| Coordinates dst_coord{}; | |
| Iterator src_it(src, window); | |
| execute_window_loop(window, [&](const Coordinates & id) | |
| { | |
| dst_coord = index2coords(dst_shape, coords2index(src_shape, id)); | |
| *reinterpret_cast<T *>(dst->ptr_to_element(dst_coord)) = *reinterpret_cast<T *>(src_it.ptr()); | |
| }, | |
| src_it); | |
| } | |
| } // namespace | |
| void CpuReshapeKernel::configure(const ITensorInfo *src, ITensorInfo *dst) | |
| { | |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); | |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst)); | |
| ARM_COMPUTE_UNUSED(dst); | |
| // Configure kernel window | |
| Window win = calculate_max_window(*src); | |
| ICpuKernel::configure(win); | |
| } | |
| Status CpuReshapeKernel::validate(const ITensorInfo *src, const ITensorInfo *dst) | |
| { | |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst)); | |
| return Status{}; | |
| } | |
| void CpuReshapeKernel::run_op(ITensorPack &tensors, const Window &window, const ThreadInfo &info) | |
| { | |
| ARM_COMPUTE_UNUSED(info); | |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); | |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICpuKernel::window(), window); | |
| const auto src = tensors.get_const_tensor(TensorType::ACL_SRC); | |
| auto dst = tensors.get_tensor(TensorType::ACL_DST); | |
| switch(src->info()->data_type()) | |
| { | |
| case DataType::U8: | |
| case DataType::S8: | |
| case DataType::QASYMM8: | |
| case DataType::QASYMM8_SIGNED: | |
| reshape_tensor<uint8_t>(window, src, dst); | |
| break; | |
| case DataType::U16: | |
| case DataType::S16: | |
| case DataType::F16: | |
| reshape_tensor<uint16_t>(window, src, dst); | |
| break; | |
| case DataType::U32: | |
| case DataType::S32: | |
| case DataType::F32: | |
| reshape_tensor<uint32_t>(window, src, dst); | |
| break; | |
| default: | |
| ARM_COMPUTE_ERROR("Unsupported data type!"); | |
| } | |
| } | |
| const char *CpuReshapeKernel::name() const | |
| { | |
| return "CpuReshapeKernel"; | |
| } | |
| size_t CpuReshapeKernel::get_mws(const CPUInfo &platform, size_t thread_count) const | |
| { | |
| ARM_COMPUTE_UNUSED(thread_count); | |
| ARM_COMPUTE_UNUSED(platform); | |
| return ICPPKernel::default_mws; | |
| } | |
| } // namespace kernels | |
| } // namespace cpu | |
| } // namespace arm_compute | |
| /** [NEReshapeLayerKernel Kernel] **/ |