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Diffstat (limited to 'src/core/CL/kernels/CLRangeKernel.cpp')
-rw-r--r-- | src/core/CL/kernels/CLRangeKernel.cpp | 159 |
1 files changed, 159 insertions, 0 deletions
diff --git a/src/core/CL/kernels/CLRangeKernel.cpp b/src/core/CL/kernels/CLRangeKernel.cpp new file mode 100644 index 0000000000..f53fe87a70 --- /dev/null +++ b/src/core/CL/kernels/CLRangeKernel.cpp @@ -0,0 +1,159 @@ +/* + * Copyright (c) 2018 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/CLRangeKernel.h" + +#include "arm_compute/core/CL/CLHelpers.h" +#include "arm_compute/core/CL/CLValidate.h" +#include "arm_compute/core/CL/ICLTensor.h" +#include "utils/Utils.h" + +using namespace arm_compute; + +namespace +{ +size_t num_of_elements_in_range(const float start, const float end, const float step) +{ + ARM_COMPUTE_ERROR_ON_MSG(step == 0, "CLRange Step cannot be 0"); + return size_t(std::ceil((end - start) / step)); +} + +unsigned int get_num_elems_processed_per_iteration(const DataType dt) +{ + unsigned int num_elems_processed_per_iteration = preferred_vector_width(CLKernelLibrary::get().get_device(), dt); + if(num_elems_processed_per_iteration > 8) + { + num_elems_processed_per_iteration = 8; //kernel uses only 8 lanes. + } + return num_elems_processed_per_iteration; +} + +Status validate_arguments(const ITensorInfo &output, const float start, const float end, const float step) +{ + 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(!utils::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(!utils::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(!utils::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((start == end), "start of the requested sequence must not be equal to the end"); + + 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{}; +} + +std::pair<Status, Window> validate_and_configure_window(ITensorInfo &output, const float start, const float end, const float step) +{ + unsigned int num_elems_processed_per_iteration = get_num_elems_processed_per_iteration(output.data_type()); + // Auto initialize output if not initialized + auto_init_if_empty(output, TensorShape(num_of_elements_in_range(start, end, step)), 1, output.data_type(), output.quantization_info()); + + // Configure kernel window + Window win = calculate_max_window(output, Steps(num_elems_processed_per_iteration)); + + AccessWindowHorizontal output_access(&output, 0, num_elems_processed_per_iteration); + bool window_changed = update_window_and_padding(win, output_access); + output_access.set_valid_region(win, ValidRegion(Coordinates(), TensorShape(num_of_elements_in_range(start, end, step)))); + Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; + return std::make_pair(err, win); +} +} // 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) +{ + ARM_COMPUTE_ERROR_ON_NULLPTR(output); + + ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(*(output->info()), start, end, step)); + + // Configure kernel window + auto win_config = validate_and_configure_window(*(output->info()), start, end, step); + ARM_COMPUTE_ERROR_THROW_ON(win_config.first); + + _start = start; + _end = end; + _step = step; + _output = output; + + std::string kernel_name = "range"; + + unsigned int num_elems_processed_per_iteration = get_num_elems_processed_per_iteration(output->info()->data_type()); + // 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("-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())) + { + build_opts.add_option("-DOFFSET_OUT=" + support::cpp11::to_string(output->info()->quantization_info().offset)); + build_opts.add_option("-DSCALE_OUT=" + float_to_string_with_full_precision(output->info()->quantization_info().scale)); + kernel_name += "_quantized"; + } + // Create kernel + _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts.options())); + ICLKernel::configure_internal(win_config.second); + + // 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)); +} + +Status CLRangeKernel::validate(const ITensorInfo *output, const float start, const float end, const float step) +{ + ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(output); + + ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*output, start, end, step)); + ARM_COMPUTE_RETURN_ON_ERROR((validate_and_configure_window(*(output->clone()), start, end, step)).first); + + 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()); +} |