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/*
* Copyright (c) 2018 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/CPP/kernels/CPPFlipWeightsKernel.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/Types.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
#include <cstddef>
#include <cstdint>
using namespace arm_compute;
CPPFlipWeightsKernel::CPPFlipWeightsKernel()
: _input(nullptr), _output(nullptr), _func(nullptr)
{
}
template <typename T>
void CPPFlipWeightsKernel::flip_weights(const Window &window_input)
{
// Create iterators
Iterator in(_input, window_input);
const DataLayout data_layout = _input->info()->data_layout();
const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
const size_t idx_h = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);
const int kernel_width = _input->info()->dimension(idx_w);
const int kernel_height = _input->info()->dimension(idx_h);
execute_window_loop(window_input, [&](const Coordinates & id)
{
const unsigned int x = kernel_width - id[idx_w] - 1;
const unsigned int y = kernel_height - id[idx_h] - 1;
Coordinates output_coord(id);
output_coord.set(idx_w, x);
output_coord.set(idx_h, y);
*(reinterpret_cast<T *>(_output->ptr_to_element(output_coord))) = *(reinterpret_cast<const T *>(in.ptr()));
},
in);
}
void CPPFlipWeightsKernel::configure(const ITensor *input, ITensor *output)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
_input = input;
_output = output;
// Configure kernel window
Window win = calculate_max_window(*input->info(), Steps());
// The CPPFlipWeightsKernel doesn't need padding so update_window_and_padding() can be skipped
Coordinates coord;
coord.set_num_dimensions(output->info()->num_dimensions());
output->info()->set_valid_region(ValidRegion(coord, output->info()->tensor_shape()));
ICPPKernel::configure(win);
switch(input->info()->data_type())
{
case DataType::F32:
_func = &CPPFlipWeightsKernel::flip_weights<float>;
break;
case DataType::F16:
_func = &CPPFlipWeightsKernel::flip_weights<half>;
break;
case DataType::QASYMM8:
_func = &CPPFlipWeightsKernel::flip_weights<uint8_t>;
break;
default:
ARM_COMPUTE_ERROR("Not supported");
}
}
void CPPFlipWeightsKernel::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);
ARM_COMPUTE_ERROR_ON(_func == nullptr);
(this->*_func)(window);
}
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