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/*
* Copyright (c) 2016-2021 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 "src/core/gpu/cl/kernels/ClCastKernel.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/CL/OpenCL.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Utils.h"
#include "arm_compute/core/Validate.h"
#include "src/core/CL/CLValidate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "support/Cast.h"
#include "support/StringSupport.h"
namespace arm_compute
{
namespace opencl
{
namespace kernels
{
namespace
{
Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst, ConvertPolicy policy)
{
ARM_COMPUTE_UNUSED(policy);
ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src);
ARM_COMPUTE_RETURN_ERROR_ON(src == dst);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src,
1,
DataType::U8, DataType::S8, DataType::QSYMM8_PER_CHANNEL, DataType::S16,
DataType::U16, DataType::U32, DataType::S32, DataType::F16,
DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst,
1,
DataType::U8, DataType::S8, DataType::QASYMM8, DataType::S16,
DataType::U16, DataType::U32, DataType::S32, DataType::F16,
DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_MSG(src->data_type() == dst->data_type(), "src and dst data types must be different");
// Validate in case of configured dst
if(dst->total_size() > 0)
{
ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst);
}
return Status{};
}
} // namespace
void ClCastKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, ConvertPolicy policy)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
// Auto initialize dst shape if not initialized (We can only auto-configure the shape, datatype must be given)
set_shape_if_empty(*dst, src->tensor_shape());
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, policy));
auto padding_info = get_padding_info({ src, dst });
// Get data sizes
const size_t src_size = data_size_from_type(src->data_type());
const size_t dst_size = data_size_from_type(dst->data_type());
// Get number of elements to process per iterations
const unsigned int num_elems_processed_per_iteration = adjust_vec_size(16 / src->element_size(), src->dimension(0));
// 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("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(src->dimension(0) % num_elems_processed_per_iteration));
build_opts.add_option("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(src->data_type()));
build_opts.add_option("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(dst->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(src->data_type()) || policy == ConvertPolicy::SATURATE, "-DSATURATE");
build_opts.add_option_if(is_data_type_float(src->data_type()) || is_data_type_float(dst->data_type()), "-DIS_DATA_TYPE_FLOAT");
build_opts.add_option_if(is_data_type_quantized(src->data_type()), "-DIS_DATA_TYPE_QUANTIZED");
// Create kernel
const std::string kernel_name = (src_size >= dst_size) ? "cast_down" : "cast_up";
_kernel = create_kernel(compile_context, kernel_name, build_opts.options());
// Configure kernel
Window win = calculate_max_window(*src, Steps(num_elems_processed_per_iteration));
ICLKernel::configure_internal(win);
// Collapse window
const Window &full_window = window();
Window collapsed_window = full_window.collapse_if_possible(full_window, Window::DimZ);
ICLKernel::configure_internal(collapsed_window);
ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
// Set config_id for enabling LWS tuning
_config_id = kernel_name;
_config_id += "_";
_config_id += lower_string(string_from_data_type(src->data_type()));
_config_id += "_";
_config_id += support::cpp11::to_string(src->dimension(0));
_config_id += "_";
_config_id += support::cpp11::to_string(src->dimension(1));
_config_id += "_";
_config_id += support::cpp11::to_string(dst->dimension(0));
_config_id += "_";
_config_id += support::cpp11::to_string(dst->dimension(1));
}
Status ClCastKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, ConvertPolicy policy)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, policy));
return Status{};
}
void ClCastKernel::run_op(ITensorPack &tensors, const Window &window, ::cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
const auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC));
auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST));
ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst);
Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ);
Window slice = collapsed.first_slice_window_3D();
do
{
unsigned int idx = 0;
add_3D_tensor_argument(idx, src, slice);
add_3D_tensor_argument(idx, dst, slice);
enqueue(queue, *this, slice, lws_hint());
}
while(collapsed.slide_window_slice_3D(slice));
}
} // namespace kernels
} // namespace opencl
} // namespace arm_compute
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