/* * Copyright (c) 2018-2021 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/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) { _type = CLKernelType::ELEMENTWISE; } 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