| /* |
| * Copyright (c) 2017-2021 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/cpu/kernels/CpuCol2ImKernel.h" |
| |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/ITensor.h" |
| #include "arm_compute/core/Size2D.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Types.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| |
| namespace arm_compute |
| { |
| using namespace misc::shape_calculator; |
| namespace cpu |
| { |
| namespace kernels |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, const Size2D &convolved_dims) |
| { |
| //Note: ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input) is not needed here as this kernel doesn't use CPU FP16 instructions. |
| ARM_COMPUTE_RETURN_ERROR_ON(src->data_type() == DataType::UNKNOWN); |
| |
| // Validate configured output |
| if(dst->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(dst->tensor_shape(), compute_col2im_shape(*src, convolved_dims, false)); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| void CpuCol2ImKernel::configure(const ITensorInfo *src, ITensorInfo *dst, const Size2D &convolved_dims) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, convolved_dims)); |
| |
| _convolved_dims = convolved_dims; |
| |
| // Configure kernel window |
| // Output auto inizialitation if not yet initialized |
| auto_init_if_empty(*dst, src->clone()->set_tensor_shape(compute_col2im_shape(*src, convolved_dims, false))); |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*src, Steps()); |
| |
| ICpuKernel::configure(win); |
| } |
| |
| Status CpuCol2ImKernel::validate(const ITensorInfo *src, const ITensorInfo *output, const Size2D &convolved_dims) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, output, convolved_dims)); |
| return Status{}; |
| } |
| |
| void CpuCol2ImKernel::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); |
| |
| auto src = tensors.get_const_tensor(TensorType::ACL_SRC); |
| auto dst = tensors.get_tensor(TensorType::ACL_DST); |
| |
| const uint8_t el_size = src->info()->element_size(); |
| const int output_stride_x = dst->info()->strides_in_bytes().x(); |
| const int output_stride_y = dst->info()->strides_in_bytes().y(); |
| const int output_stride_z = dst->info()->strides_in_bytes().z(); |
| |
| Window window_out(window); |
| window_out.set(Window::DimX, Window::Dimension(0, 0, 0)); |
| window_out.set(Window::DimY, Window::Dimension(0, 0, 0)); |
| window_out.set(Window::DimZ, Window::Dimension(0, 0, 0)); |
| |
| // Create iterators |
| Iterator in(src, window); |
| Iterator out(dst, window_out); |
| |
| execute_window_loop(window, [&](const Coordinates & id) |
| { |
| const int hidx = id.y(); |
| const int idx = id.x() * output_stride_z + (hidx / _convolved_dims.width) * output_stride_y + (hidx % _convolved_dims.width) * output_stride_x; |
| std::memcpy(out.ptr() + idx, in.ptr(), el_size); |
| }, |
| in, out); |
| } |
| |
| const char *CpuCol2ImKernel::name() const |
| { |
| return "CpuCol2ImKernel"; |
| } |
| } // namespace kernels |
| } // namespace cpu |
| } // namespace arm_compute |