| /* |
| * 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. |
| */ |
| #include "src/core/cpu/kernels/CpuCopyKernel.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/Validate.h" |
| #include "arm_compute/core/Window.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| |
| namespace arm_compute |
| { |
| namespace cpu |
| { |
| namespace kernels |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const PaddingList &padding = PaddingList()) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN); |
| ARM_COMPUTE_RETURN_ERROR_ON(padding.size() > 4); |
| |
| // Validate destination if initialized |
| if(dst->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(misc::shape_calculator::compute_padded_shape(src->tensor_shape(), padding), dst->tensor_shape()); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); |
| } |
| |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(const ITensorInfo *src, ITensorInfo *dst) |
| { |
| // Destination auto inizialitation if not yet initialized |
| auto_init_if_empty(*dst, *src); |
| return std::make_pair(Status{}, calculate_max_window(*dst)); |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window_with_padding(const ITensorInfo *src, ITensorInfo *dst, const PaddingList &padding) |
| { |
| const TensorShape src_shape = src->tensor_shape(); |
| const TensorShape padded_shape = misc::shape_calculator::compute_padded_shape(src_shape, padding); |
| auto_init_if_empty(*dst, src->clone()->set_tensor_shape(padded_shape)); |
| // Configure window |
| const Window win = calculate_max_window(*dst, dst->dimension(0)); |
| return std::make_pair(Status{}, win); |
| } |
| |
| } // namespace |
| |
| void CpuCopyKernel::configure(const ITensorInfo *src, ITensorInfo *dst, const PaddingList &padding) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, padding)); |
| |
| _padding = padding; |
| |
| std::pair<Status, Window> win_config; |
| if(padding.empty()) |
| { |
| win_config = validate_and_configure_window(src, dst); |
| } |
| else |
| { |
| win_config = validate_and_configure_window_with_padding(src, dst, padding); |
| } |
| |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| ICpuKernel::configure(win_config.second); |
| } |
| |
| Status CpuCopyKernel::validate(const arm_compute::ITensorInfo *src, const arm_compute::ITensorInfo *dst, const PaddingList &padding) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, padding)); |
| |
| if(padding.empty()) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(src->clone().get(), dst->clone().get()).first); |
| } |
| else |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window_with_padding(src->clone().get(), dst->clone().get(), padding).first); |
| } |
| |
| return Status{}; |
| } |
| |
| void CpuCopyKernel::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); |
| |
| if(_padding.empty()) |
| { |
| Window dst_window{ window }; |
| dst_window.set(Window::DimX, Window::Dimension(dst_window.x().start(), dst_window.x().end(), src->info()->dimension(0))); |
| Window out_slice = dst_window.first_slice_window_1D(); |
| do |
| { |
| Iterator src_it(src, out_slice); |
| Iterator dst_it(dst, out_slice); |
| |
| execute_window_loop(out_slice, [&](const Coordinates &) |
| { |
| memcpy(dst_it.ptr(), src_it.ptr(), dst->info()->dimension(0) * dst->info()->element_size()); |
| }, |
| src_it, dst_it); |
| } |
| while(dst_window.slide_window_slice_1D(out_slice)); |
| } |
| else |
| { |
| Window src_window{ window }; |
| src_window.set(Window::DimX, Window::Dimension(0, window.x().end() - _padding[0].first, src->info()->dimension(0))); |
| |
| Iterator src_it(src, src_window); |
| Iterator dst_it(dst, window); |
| const size_t row_size_in_bytes = src->info()->dimension(0) * src->info()->element_size(); |
| execute_window_loop(window, [&](const Coordinates &) |
| { |
| auto dst_ptr = dst_it.ptr() + _padding[0].first * dst->info()->element_size(); |
| std::memcpy(dst_ptr, src_it.ptr(), row_size_in_bytes); |
| }, |
| src_it, dst_it); |
| } |
| } |
| |
| const char *CpuCopyKernel::name() const |
| { |
| return "CpuCopyKernel"; |
| } |
| } // namespace kernels |
| } // namespace cpu |
| } // namespace arm_compute |