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/*
* Copyright (c) 2018-2020 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/CL/kernels/CLRangeKernel.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/Utils.h"
#include "src/core/CL/CLValidate.h"
#include "src/core/helpers/AutoConfiguration.h"
#include "src/core/helpers/WindowHelpers.h"
#include "support/StringSupport.h"
namespace arm_compute
{
namespace
{
constexpr unsigned int vector_size_byte_opencl = 16;
Status validate_arguments(const ITensorInfo *output, const float start, const float end, const float step)
{
ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output);
ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output,
1,
DataType::U8, DataType::S8, DataType::QASYMM8,
DataType::U16, DataType::S16,
DataType::U32, DataType::S32,
DataType::F16, DataType::F32);
ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(output);
ARM_COMPUTE_RETURN_ERROR_ON_MSG((start == end), "start of the requested sequence must not be equal to the end");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(((start < end) && (step <= 0)), "step must be greater than 0 when start < end");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(((start > end) && (step >= 0)), "step must be less than 0 when start > end");
ARM_COMPUTE_RETURN_ERROR_ON_MSG((start == end), "start of the requested sequence must not be equal to the end");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(!check_value_range(start, output->data_type(), output->quantization_info()), "start value is outside the range of the data type");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(!check_value_range(end, output->data_type(), output->quantization_info()), "end value is outside the range of the data type");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(!check_value_range(step, output->data_type(), output->quantization_info()), "step value is outside the range of the data type");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->num_dimensions() != 1, "Output has to be a 1-D tensor");
ARM_COMPUTE_RETURN_ERROR_ON_MSG(output->tensor_shape().total_size() < num_of_elements_in_range(start, end, step), "Output tensor size is incorrect");
return Status{};
}
} // namespace
CLRangeKernel::CLRangeKernel()
: _start(0), _end(1), _step(1), _output(nullptr)
{
}
void CLRangeKernel::configure(ICLTensor *output, const float start, const float end, const float step)
{
configure(CLKernelLibrary::get().get_compile_context(), output, start, end, step);
}
void CLRangeKernel::configure(const CLCompileContext &compile_context, ICLTensor *output, const float start, const float end, const float step)
{
ARM_COMPUTE_ERROR_ON_NULLPTR(output);
ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(output->info(), start, end, step));
// Configure kernel window
unsigned int num_elems_processed_per_iteration = adjust_vec_size(vector_size_byte_opencl / output->info()->element_size(), output->info()->dimension(0));
Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration));
auto padding_info = get_padding_info({ output });
_start = start;
_end = end;
_step = step;
_output = output;
std::string kernel_name = "range";
// Set build options
CLBuildOptions build_opts;
build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(output->info()->data_type()));
build_opts.add_option("-DVECTOR_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration));
build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(output->info()->dimension(0) % num_elems_processed_per_iteration));
build_opts.add_option("-DSTART=" + support::cpp11::to_string(start));
build_opts.add_option("-DSTEP=" + support::cpp11::to_string(step));
if(is_data_type_quantized_asymmetric(output->info()->data_type()))
{
const UniformQuantizationInfo qinfo = output->info()->quantization_info().uniform();
build_opts.add_option("-DOFFSET_OUT=" + support::cpp11::to_string(qinfo.offset));
build_opts.add_option("-DSCALE_OUT=" + float_to_string_with_full_precision(qinfo.scale));
kernel_name += "_quantized";
}
// Create kernel
_kernel = create_kernel(compile_context, kernel_name, build_opts.options());
ICLKernel::configure_internal(win);
// Set config_id for enabling LWS tuning
_config_id = kernel_name;
_config_id += "_";
_config_id += lower_string(string_from_data_type(output->info()->data_type()));
_config_id += "_";
_config_id += support::cpp11::to_string(output->info()->dimension(0));
ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info));
}
Status CLRangeKernel::validate(const ITensorInfo *output, const float start, const float end, const float step)
{
ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(output, start, end, step));
return Status{};
}
void CLRangeKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window);
unsigned int idx = 0;
add_1D_tensor_argument(idx, _output, window);
enqueue(queue, *this, window, lws_hint());
}
} // namespace arm_compute
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