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/*
* Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
* Copyright (c) 2016-2018 ARM Limited.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
#include "arm_compute/core/CL/kernels/CLPermuteExKernel.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibraryEx.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/utils/misc/ShapeCalculator.h"
using namespace arm_compute;
namespace
{
TensorShape get_output_shape(const ITensorInfo *input, const PermutationVector &perm)
{
TensorShape output_shape = input->tensor_shape();
permute(output_shape, perm);
return output_shape;
}
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output,
const PermutationVector &perm)
{
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(
input, 1, DataType::U8, DataType::S8, DataType::QASYMM8, DataType::U16, DataType::S16,
DataType::U32, DataType::S32, DataType::F16, DataType::F32);
const TensorShape output_shape =
misc::shape_calculator::compute_permutation_output_shape(*input, perm);
// Validate configured output
if (output->total_size() != 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), output_shape);
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
}
return Status{};
}
} // namespace
CLPermuteExKernel::CLPermuteExKernel() : _input(nullptr), _output(nullptr), _perm() {}
void CLPermuteExKernel::configure(const ICLTensor *input, ICLTensor *output,
const PermutationVector &perm)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), perm));
_input = input;
_output = output;
_perm = perm;
const TensorShape output_shape = get_output_shape(input->info(), perm);
// Output auto inizialitation if not yet initialized
auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape));
// Create kernel
std::set<std::string> build_opts;
build_opts.emplace("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
build_opts.emplace("-DDEPTH_IN=" + support::cpp11::to_string(input->info()->dimension(2)));
// New positions of batch(D), height(H), width(w) and channel(C) based on permutation vector
build_opts.emplace("-DP1=" + support::cpp11::to_string(perm[0]));
build_opts.emplace("-DP2=" + support::cpp11::to_string(perm[1]));
build_opts.emplace("-DP3=" + support::cpp11::to_string(perm[2]));
build_opts.emplace("-DP4=" + support::cpp11::to_string(perm[3]));
_kernel = static_cast<cl::Kernel>(
CLKernelLibraryEx::get().create_kernel("permute_generic", build_opts));
// Configure kernel window
Window win = calculate_max_window(*input->info(), Steps());
// The CLPermute 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()));
ICLKernel::configure_internal(win);
}
Status CLPermuteExKernel::validate(const ITensorInfo *input, const ITensorInfo *output,
const PermutationVector &perm)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, perm));
return Status{};
}
void CLPermuteExKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window);
Window slice_in = window.first_slice_window_4D().collapse(ICLKernel::window(), 2, 4);
// Setup output slice
Window slice_out(slice_in);
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));
slice_out.set(3, Window::Dimension(0, 0, 0));
do
{
unsigned int idx = 0;
add_4D_tensor_argument(idx, _input, slice_in);
add_4D_tensor_argument(idx, _output, slice_out);
enqueue(queue, *this, slice_in);
} while (window.slide_window_slice_4D(slice_in) && window.slide_window_slice_4D(slice_out));
}
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