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/*
* Copyright (c) 2017-2020 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/GLES_COMPUTE/kernels/GCTransposeKernel.h"
#include "arm_compute/core/AccessWindowStatic.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/GLES_COMPUTE/GCHelpers.h"
#include "arm_compute/core/GLES_COMPUTE/GCKernelLibrary.h"
#include "arm_compute/core/GLES_COMPUTE/IGCTensor.h"
#include "arm_compute/core/GLES_COMPUTE/OpenGLES.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/Types.h"
#include "support/StringSupport.h"
#include <set>
#include <string>
using namespace arm_compute;
void GCTransposeKernel::configure(const IGCTensor *input, IGCTensor *output)
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
ARM_COMPUTE_ERROR_ON_NULLPTR(output);
TensorShape output_shape{ input->info()->tensor_shape() };
const size_t w_out = input->info()->dimension(1);
const size_t h_out = input->info()->dimension(0);
output_shape.set(0, w_out);
output_shape.set(1, h_out);
// Output tensor auto inizialitation if not yet initialized
auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
_input = input;
_output = output;
// for better performance
if(w_out < 512 && h_out < 512)
{
_lws_hint = gles::NDRange(8U, 1U, 1U);
}
else
{
_lws_hint = gles::NDRange(1U, 8U, 1U);
}
std::set<std::string> build_opts;
std::string dt_name = (input->info()->data_type() == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16";
build_opts.emplace(("#define " + dt_name));
build_opts.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(_lws_hint[0]));
build_opts.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(_lws_hint[1]));
build_opts.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(_lws_hint[2]));
// Configure kernel window
unsigned int num_elems_processed_per_iteration = 4;
if(input->info()->data_type() == DataType::F16)
{
#define TRANSPOSE_8X8
#if defined(TRANSPOSE_4X4)
build_opts.emplace(("#define TRANSPOSE_4X4"));
num_elems_processed_per_iteration = 4;
#elif defined(TRANSPOSE_8X8) /* TRANSPOSE_4X4 */
if(w_out != h_out)
{
build_opts.emplace("#define TRANSPOSE_8X8");
num_elems_processed_per_iteration = 8;
}
else
{
build_opts.emplace("#define TRANSPOSE_8X8_SQUARE");
num_elems_processed_per_iteration = 8;
}
#endif /* TRANSPOSE_4X4 */
}
// Create kernel
_kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel("transpose", build_opts));
const unsigned int width_aligned = num_elems_processed_per_iteration * static_cast<unsigned int>(_lws_hint[0]);
const unsigned int height_aligned = num_elems_processed_per_iteration * static_cast<unsigned int>(_lws_hint[1]);
AccessWindowStatic input_access(input->info(), 0, 0,
ceil_to_multiple(input->info()->dimension(0), width_aligned),
ceil_to_multiple(input->info()->dimension(1), height_aligned));
AccessWindowStatic output_access(output->info(), 0, 0,
ceil_to_multiple(output->info()->dimension(0), height_aligned),
ceil_to_multiple(output->info()->dimension(1), width_aligned));
Window win = calculate_max_window(*input->info(), Steps(width_aligned, height_aligned));
win.set_dimension_step(Window::DimX, num_elems_processed_per_iteration);
win.set_dimension_step(Window::DimY, num_elems_processed_per_iteration);
update_window_and_padding(win, input_access, output_access);
output_access.set_valid_region(win, output->info()->valid_region());
IGCKernel::configure(win);
}
void GCTransposeKernel::run(const Window &window)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IGCKernel::window(), window);
_kernel.use();
Window slice = window.first_slice_window_2D();
do
{
unsigned int idx = 0;
add_2D_tensor_argument(idx, _input, 1, slice);
add_2D_tensor_argument(idx, _output, 2, slice);
_kernel.update_shader_params();
enqueue(*this, slice, _lws_hint);
}
while(window.slide_window_slice_2D(slice));
}
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