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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 "arm_compute/runtime/CL/functions/CLSpaceToBatchLayer.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/CL/CLScheduler.h"
#include "src/common/utils/Log.h"
#include "src/core/CL/kernels/CLSpaceToBatchLayerKernel.h"
namespace arm_compute
{
CLSpaceToBatchLayer::CLSpaceToBatchLayer()
: _space_to_batch_kernel(std::make_unique<CLSpaceToBatchLayerKernel>()), _fill(), _has_padding(false)
{
}
CLSpaceToBatchLayer::~CLSpaceToBatchLayer() = default;
void CLSpaceToBatchLayer::configure(const ICLTensor *input,
const ICLTensor *block_shape,
const ICLTensor *paddings,
ICLTensor *output)
{
configure(CLKernelLibrary::get().get_compile_context(), input, block_shape, paddings, output);
}
void CLSpaceToBatchLayer::configure(const CLCompileContext &compile_context,
const ICLTensor *input,
const ICLTensor *block_shape,
const ICLTensor *paddings,
ICLTensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, block_shape, paddings, output);
ARM_COMPUTE_LOG_PARAMS(input, block_shape, paddings, output);
if (input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
{
_has_padding = true;
_fill.configure(compile_context, output,
PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
}
_space_to_batch_kernel->configure(compile_context, input, block_shape, paddings, output);
}
void CLSpaceToBatchLayer::configure(const ICLTensor *input,
const int block_shape_x,
const int block_shape_y,
const Size2D &padding_left,
const Size2D &padding_right,
ICLTensor *output)
{
configure(CLKernelLibrary::get().get_compile_context(), input, block_shape_x, block_shape_y, padding_left,
padding_right, output);
}
void CLSpaceToBatchLayer::configure(const CLCompileContext &compile_context,
const ICLTensor *input,
const int block_shape_x,
const int block_shape_y,
const Size2D &padding_left,
const Size2D &padding_right,
ICLTensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_LOG_PARAMS(input, block_shape_x, block_shape_y, padding_left, padding_right, output);
if (input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size())
{
_has_padding = true;
_fill.configure(compile_context, output,
PixelValue(0, input->info()->data_type(), input->info()->quantization_info()));
}
_space_to_batch_kernel->configure(compile_context, input, block_shape_x, block_shape_y, padding_left, padding_right,
output);
}
Status CLSpaceToBatchLayer::validate(const ITensorInfo *input,
const ITensorInfo *block_shape,
const ITensorInfo *paddings,
const ITensorInfo *output)
{
ARM_COMPUTE_RETURN_ON_ERROR(
CLFill::validate(output, PixelValue(0, input->data_type(), input->quantization_info())));
ARM_COMPUTE_RETURN_ON_ERROR(CLSpaceToBatchLayerKernel::validate(input, block_shape, paddings, output));
return Status{};
}
Status CLSpaceToBatchLayer::validate(const ITensorInfo *input,
const int block_shape_x,
const int block_shape_y,
const Size2D &padding_left,
const Size2D &padding_right,
const ITensorInfo *output)
{
ARM_COMPUTE_RETURN_ON_ERROR(
CLFill::validate(output, PixelValue(0, input->data_type(), input->quantization_info())));
ARM_COMPUTE_RETURN_ON_ERROR(
CLSpaceToBatchLayerKernel::validate(input, block_shape_x, block_shape_y, padding_left, padding_right, output));
return Status{};
}
void CLSpaceToBatchLayer::run()
{
// Zero out output only if we have paddings
if (_has_padding)
{
//CLScheduler::get().enqueue(*_fill, true);
_fill.run();
}
CLScheduler::get().enqueue(*_space_to_batch_kernel, true);
}
} // namespace arm_compute
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