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/*
* Copyright (c) 2016-2019 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/CL/kernels/CLDepthConvertLayerKernel.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/CLValidate.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/CL/OpenCL.h"
#include "arm_compute/core/Error.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include <cstddef>
#include <set>
#include <string>
namespace arm_compute
{
namespace
{
Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output, ConvertPolicy policy, uint32_t shift)
{
ARM_COMPUTE_UNUSED(policy);
ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
ARM_COMPUTE_RETURN_ERROR_ON(input == output);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input,
1,
DataType::U8, DataType::S8, DataType::S16,
DataType::U16, DataType::U32, DataType::S32, DataType::F16,
DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output,
1,
DataType::U8, DataType::S8, DataType::S16,
DataType::U16, DataType::U32, DataType::S32, DataType::F16,
DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(input->data_type() == output->data_type(), "Input and output data types must be different");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(is_data_type_float(input->data_type()) && shift != 0, "Shift is used only with integer inputs");
ARM_COMPUTE_RETURN_ERROR_ON(shift >= 8);
// Validate in case of configured output
if(output->total_size() > 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output);
}
return Status{};
}
} // namespace
void CLDepthConvertLayerKernel::configure(const ICLTensor *input, ICLTensor *output, ConvertPolicy policy, uint32_t shift)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
// Auto initialize output shape if not initialized (We can only auto-configure the shape, datatype must be given)
set_shape_if_empty(*output->info(), input->info()->tensor_shape());
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), policy, shift));
// Get data sizes
const size_t input_size = data_size_from_type(input->info()->data_type());
const size_t output_size = data_size_from_type(output->info()->data_type());
// Get number of elements to process per iterations
const unsigned int num_elems_processed_per_iteration = 16;
// Set build options
CLBuildOptions build_opts;
build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
build_opts.add_option("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(input->info()->data_type()));
build_opts.add_option("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type()));
// Conversions from float always SATURATE as out-of-bounds conversion from float->integer is implementation defined
build_opts.add_option_if(is_data_type_float(input->info()->data_type()) || policy == ConvertPolicy::SATURATE, "-DSATURATE");
build_opts.add_option_if(is_data_type_float(input->info()->data_type()) || is_data_type_float(output->info()->data_type()), "-DIS_DATA_TYPE_FLOAT");
// Create kernel
const std::string kernel_name = (input_size >= output_size) ? "convert_depth_down" : "convert_depth_up";
_kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options()));
// Set shift arg
unsigned int idx = 2 * num_arguments_per_3D_tensor(); //Skip the input and output parameters
_kernel.setArg(idx++, shift);
// Configure kernel
ICLSimple3DKernel::configure(input, output, num_elems_processed_per_iteration);
// Collapse window
const Window &full_window = window();
Window collapsed_window = full_window.collapse_if_possible(full_window, Window::DimZ);
ICLKernel::configure_internal(collapsed_window);
}
Status CLDepthConvertLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, ConvertPolicy policy, uint32_t shift)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, policy, shift));
return Status{};
}
} // namespace arm_compute
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