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/*
* Copyright (c) 2018-2019 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 "arm_compute/runtime/NEON/functions/NEPadLayer.h"
#include "arm_compute/runtime/NEON/NEScheduler.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include "support/ToolchainSupport.h"
namespace arm_compute
{
namespace
{
TensorInfo get_expected_output_tensorinfo(const ITensorInfo &input, const PaddingList &paddings)
{
const TensorShape expected_output_shape = arm_compute::misc::shape_calculator::compute_padded_shape(input.tensor_shape(), paddings);
const TensorInfo expected_output_info = input.clone()->set_tensor_shape(expected_output_shape);
return expected_output_info;
}
Status validate_arguments(const ITensorInfo &input, ITensorInfo &output, const PaddingList &paddings)
{
const TensorInfo expected_output_info = get_expected_output_tensorinfo(input, paddings);
auto_init_if_empty(output, expected_output_info);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(&output, &expected_output_info);
return Status{};
}
Coordinates get_subtensor_coords(const PaddingList &paddings)
{
Coordinates coords;
for(unsigned int i = 0; i < paddings.size(); ++i)
{
coords.set(i, paddings[i].first);
}
return coords;
}
} // namespace
NEPadLayer::NEPadLayer()
: _memset_kernel(), _copy_kernel(), _output_subtensor()
{
}
void NEPadLayer::configure(ITensor *input, ITensor *output, const PaddingList &padding, PixelValue constant_value)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_THROW_ON_ERROR(NEPadLayer::validate(input->info(), output->info(), padding, constant_value));
// Auto-init
auto_init_if_empty(*output->info(), get_expected_output_tensorinfo(*input->info(), padding));
// Create SubTensor (Can use sub-tensor as the kernels to be executed do not require padding)
_output_subtensor = SubTensor(output, input->info()->tensor_shape(), get_subtensor_coords(padding), true);
// Set the pages of the output to the specified value
_memset_kernel.configure(output, constant_value);
// Copy the input to the output
_copy_kernel.configure(input, &_output_subtensor);
}
Status NEPadLayer::validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value)
{
ARM_COMPUTE_UNUSED(constant_value);
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
auto output_clone = output->clone();
SubTensorInfo output_subtensor_info(output_clone.get(), input->tensor_shape(), get_subtensor_coords(padding), true);
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*input, *output_clone, padding));
ARM_COMPUTE_RETURN_ON_ERROR(NECopyKernel::validate(input, &output_subtensor_info));
return Status{};
}
void NEPadLayer::run()
{
NEScheduler::get().schedule(&_memset_kernel, Window::DimY);
NEScheduler::get().schedule(&_copy_kernel, Window::DimY);
}
} // namespace arm_compute
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