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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/core/NEON/kernels/NEMemsetKernel.h"
#include "arm_compute/core/AccessWindowStatic.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/core/Window.h"
namespace arm_compute
{
NEMemsetKernel::NEMemsetKernel()
: _tensor(nullptr), _constant_value()
{
}
void NEMemsetKernel::configure(ITensor *tensor, const PixelValue &constant_value)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(tensor);
_tensor = tensor;
_constant_value = constant_value;
// Configure kernel window
Window win = calculate_max_window(*tensor->info(), Steps());
INEKernel::configure(win);
}
void NEMemsetKernel::run(const Window &window, const ThreadInfo &info)
{
ARM_COMPUTE_UNUSED(info);
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
// Collapse all the batches on the third dimension
bool has_collapsed = true;
Window collapsed = window.collapse_if_possible(window, Window::DimZ, &has_collapsed);
ARM_COMPUTE_ERROR_ON(!has_collapsed);
uint8_t *const start_valid_region = _tensor->ptr_to_element(_tensor->info()->valid_region().anchor);
const auto window_width = static_cast<int>(collapsed.x().end()) - static_cast<int>(collapsed.x().start());
const size_t element_size = _tensor->info()->element_size();
// Unroll X dimension
collapsed.set(Window::DimX, Window::Dimension(0, 1, 1));
Iterator tensor_it(_tensor, collapsed);
execute_window_loop(collapsed, [&](const Coordinates &)
{
uint8_t *base_addr = start_valid_region + tensor_it.offset();
// Set memory
for(int i = 0; i < window_width; ++i)
{
std::memcpy(base_addr + i * element_size, &_constant_value.value, element_size);
}
},
tensor_it);
}
} // namespace arm_compute
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