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/*
* 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
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