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Diffstat (limited to 'src/cpu/kernels/CpuCol2ImKernel.cpp')
| -rw-r--r-- | src/cpu/kernels/CpuCol2ImKernel.cpp | 129 |
1 files changed, 129 insertions, 0 deletions
diff --git a/src/cpu/kernels/CpuCol2ImKernel.cpp b/src/cpu/kernels/CpuCol2ImKernel.cpp new file mode 100644 index 0000000000..a52a1f58ea --- /dev/null +++ b/src/cpu/kernels/CpuCol2ImKernel.cpp @@ -0,0 +1,129 @@ +/* + * 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/utils/misc/ShapeCalculator.h" +#include "arm_compute/core/Validate.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 |