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/*
* Copyright (c) 2017-2018 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/GLES_COMPUTE/kernels/GCTensorShiftKernel.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/Helpers.h"
#include "arm_compute/core/IAccessWindow.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "support/ToolchainSupport.h"
using namespace arm_compute;
using namespace arm_compute::gles_compute;
GCTensorShiftKernel::GCTensorShiftKernel()
: _input(nullptr), _lws(gles::NDRange(1U, 1U, 1U))
{
}
void GCTensorShiftKernel::configure(IGCTensor *input)
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32);
_input = input;
std::set<std::string> options;
options.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(_lws[0]));
options.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(_lws[1]));
options.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(_lws[2]));
options.emplace("#define WIDTH " + support::cpp11::to_string(input->info()->dimension(0)));
std::string dt_name = (input->info()->data_type() == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16";
options.emplace(("#define " + dt_name));
unsigned int num_elems_written_per_iteration_x = input->info()->dimension(0) + input->info()->padding().left + input->info()->padding().right;
unsigned int num_elems_written_per_iteration_y = 1;
unsigned int num_elems_written_per_iteration_z = 1;
std::stringstream kernel_name;
kernel_name << "tensorshift";
_kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel(kernel_name.str(), options));
Window win = calculate_max_enlarged_window(*input->info(), Steps(num_elems_written_per_iteration_x, num_elems_written_per_iteration_y, num_elems_written_per_iteration_z));
AccessWindowHorizontal input_access(input->info(), 0, num_elems_written_per_iteration_x);
update_window_and_padding(win, input_access);
IGCKernel::configure(win);
}
void GCTensorShiftKernel::run(const Window &window)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
_kernel.use();
// Get initial windows
Window slice = window.first_slice_window_3D();
slice.shift(Window::DimX, -(_input->info()->padding()).left);
do
{
unsigned int idx = 0;
add_3D_tensor_argument(idx, _input, 1, slice);
const PaddingSize &padding1 = _input->info()->padding();
if(int(padding1.left) == 0)
{
break;
}
_kernel.set_argument(idx++, static_cast<unsigned int>(padding1.left));
_kernel.update_shader_params();
enqueue(*this, slice, _lws);
}
while(window.slide_window_slice_3D(slice));
}
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