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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/CLDepthToSpaceKernel.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibraryEx.h"
#include "arm_compute/core/CL/ICLTensor.h"
using namespace arm_compute;
namespace
{
// TODO Use this validation function
#if 0
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output,
const int32_t block_size)
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::QASYMM8,
DataType::S16, DataType::S32, DataType::F16,
DataType::F32);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8, DataType::QASYMM8,
DataType::S16, DataType::S32, DataType::F16,
DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(block_size < 1,
"Block size should be greater than or equal to 1.");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->dimension(0) != input->dimension(0) * block_size,
"Output width should be equal to (Input width * block size)");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->dimension(1) != input->dimension(1) * block_size,
"Output height should be equal to (Input height * block size)");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->dimension(2) % (block_size * block_size) != 0,
"Input depth should be divisible by (block size * block size)");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(
output->dimension(2) != input->dimension(2) / (block_size * block_size),
"Output depth should be equal to (Input depth / (block size * block size))");
return Status{};
}
#endif
} // namespace
CLDepthToSpaceKernel::CLDepthToSpaceKernel() : _input(nullptr), _output(nullptr)
{
// DO NOTHING
}
void CLDepthToSpaceKernel::configure(const ICLTensor *input, ICLTensor *output,
const int32_t block_size)
{
// TODO Add validation of data_layout
_input = input;
_output = output;
// Set kernel build options
auto layout_out = output->info()->data_layout();
std::set<std::string> build_opts;
build_opts.emplace("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()));
build_opts.emplace("-DBLOCK_SIZE=" + support::cpp11::to_string(block_size));
auto index_depth = get_data_layout_dimension_index(layout_out, DataLayoutDimension::CHANNEL);
auto depth = output->info()->dimension(index_depth);
build_opts.emplace("-DDEPTH_OUT=" + support::cpp11::to_string(depth));
build_opts.emplace("-DZ_OUT=" + support::cpp11::to_string(output->info()->tensor_shape().z()));
// Create kernel
_kernel = static_cast<cl::Kernel>(CLKernelLibraryEx::get().create_kernel(
"depth_to_space_" + lower_string(string_from_data_layout(layout_out)), build_opts));
// Configure kernel window
Window win = calculate_max_window(*output->info(), Steps());
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);
}
void CLDepthToSpaceKernel::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_out = window.first_slice_window_4D().collapse(ICLKernel::window(), 2, 4);
// Setup input slice
Window slice_in(slice_out);
slice_in.set(Window::DimX, Window::Dimension(0, 0, 0));
slice_in.set(Window::DimY, Window::Dimension(0, 0, 0));
slice_in.set(Window::DimZ, Window::Dimension(0, 0, 0));
slice_in.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_out);
} while (window.slide_window_slice_4D(slice_in) && window.slide_window_slice_4D(slice_out));
}
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