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/*
* Copyright (c) 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/core/NEON/kernels/NEDepthToSpaceLayerKernel.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/NEON/wrapper/wrapper.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include <arm_neon.h>
#include <cstdint>
using namespace arm_compute::misc::shape_calculator;
namespace arm_compute
{
namespace
{
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, int32_t block_shape)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_RETURN_ERROR_ON(input->num_dimensions() > 4);
ARM_COMPUTE_RETURN_ERROR_ON(block_shape < 2);
const DataLayout data_layout = input->data_layout();
const int idx_channel = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL);
ARM_COMPUTE_RETURN_ERROR_ON(input->tensor_shape()[idx_channel] % (block_shape * block_shape) != 0);
// Validate output if initialized
if(output->total_size() != 0)
{
const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_width] != (block_shape * input->tensor_shape()[idx_width]));
ARM_COMPUTE_RETURN_ERROR_ON(output->tensor_shape()[idx_height] != (block_shape * input->tensor_shape()[idx_height]));
ARM_COMPUTE_RETURN_ERROR_ON(output->num_dimensions() > 4);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
}
return Status{};
}
} // namespace
NEDepthToSpaceLayerKernel::NEDepthToSpaceLayerKernel()
: _input(nullptr), _output(nullptr), _block_shape(), _data_layout(DataLayout::UNKNOWN)
{
}
void NEDepthToSpaceLayerKernel::configure(const ITensor *input, ITensor *output, int32_t block_shape)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
TensorShape output_shape = compute_depth_to_space_shape(input->info(), block_shape);
// Output auto inizialitation if not yet initialized
auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape));
// Perform validation step
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), block_shape));
_input = input;
_output = output;
_block_shape = block_shape;
_data_layout = input->info()->data_layout();
// Configure kernel window
Window win = calculate_max_window(*input->info(), Steps());
ICPPKernel::configure(win);
}
Status NEDepthToSpaceLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, int32_t block_shape)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, block_shape));
return Status{};
}
void NEDepthToSpaceLayerKernel::run(const Window &window, const ThreadInfo &info)
{
ARM_COMPUTE_UNUSED(info);
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICPPKernel::window(), window);
const int idx_channel = get_data_layout_dimension_index(_data_layout, DataLayoutDimension::CHANNEL);
const int depth_size = _input->info()->dimension(idx_channel);
const int r = (depth_size / (_block_shape * _block_shape));
const int element_size = _input->info()->element_size();
Window slice_out = window.first_slice_window_3D();
// The slice_out slice does not move
slice_out.set(Window::DimX, Window::Dimension(0, 0, 0));
slice_out.set(Window::DimY, Window::Dimension(0, 0, 0));
slice_out.set(Window::DimZ, Window::Dimension(0, 0, 0));
// Main loop for NCHW and NHWC
if(_data_layout == DataLayout::NCHW)
{
Window slice_in = window.first_slice_window_2D();
do
{
Iterator in(_input, slice_in);
execute_window_loop(slice_in, [&](const Coordinates & id)
{
const int x = id.x();
const int y = id.y();
const int z = id.z() % r;
const int out_x = x * _block_shape + (id.z() / r) % _block_shape;
const int out_y = y * _block_shape + (id.z() / r) / _block_shape;
Coordinates output_coords{ out_x, out_y, z, id[3] };
memcpy(_output->ptr_to_element(output_coords), in.ptr(), element_size);
},
in);
}
while(window.slide_window_slice_2D(slice_in));
}
else
{
Window slice_in = window.first_slice_window_3D();
do
{
Iterator in(_input, slice_in);
execute_window_loop(slice_in, [&](const Coordinates & id)
{
const int x = id.y();
const int y = id.z();
const int z = id.x() % r;
const int out_x = x * _block_shape + (id.x() / r) % _block_shape;
const int out_y = y * _block_shape + (id.x() / r) / _block_shape;
Coordinates output_coords{ z, out_x, out_y, id[3] };
memcpy(_output->ptr_to_element(output_coords), in.ptr(), element_size);
},
in);
}
while(window.slide_window_slice_3D(slice_in));
}
}
} // namespace arm_compute
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