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/*
* 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
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