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Diffstat (limited to 'src/core/CL/kernels/CLDirectConvolutionOutputStageKernel.cpp')
| -rw-r--r-- | src/core/CL/kernels/CLDirectConvolutionOutputStageKernel.cpp | 209 |
1 files changed, 0 insertions, 209 deletions
diff --git a/src/core/CL/kernels/CLDirectConvolutionOutputStageKernel.cpp b/src/core/CL/kernels/CLDirectConvolutionOutputStageKernel.cpp deleted file mode 100644 index 515321cdfc..0000000000 --- a/src/core/CL/kernels/CLDirectConvolutionOutputStageKernel.cpp +++ /dev/null @@ -1,209 +0,0 @@ -/* - * Copyright (c) 2018-2019 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/CLDirectConvolutionLayerOutputStageKernel.h" - -#include "arm_compute/core/AccessWindowStatic.h" -#include "arm_compute/core/CL/CLValidate.h" -#include "arm_compute/core/CL/ICLTensor.h" -#include "arm_compute/core/Error.h" -#include "arm_compute/core/Helpers.h" -#include "arm_compute/core/Types.h" -#include "arm_compute/core/Window.h" - -#include <cstddef> -#include <cstdint> - -namespace arm_compute -{ -namespace -{ -Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output) -{ - ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input); - ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::S32, DataType::F16, - DataType::F32); - - if(bias != nullptr) - { - ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(bias); - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(bias, 1, DataType::S32, DataType::F16, DataType::F32); - - if(is_data_type_quantized_asymmetric(input->data_type())) - { - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(bias, 1, DataType::S32); - } - else - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, bias); - } - - ARM_COMPUTE_RETURN_ERROR_ON(bias->num_dimensions() > 1); - } - else - { - ARM_COMPUTE_RETURN_ERROR_ON_MSG(is_data_type_float(input->data_type()), - "Calling output stage kernel with floating point arguments"); - } - - // Checks performed on output - if(input->data_type() == DataType::S32) - { - // Quantized configuration checks - ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QASYMM8); - } - else - { - // In case of out-of-place computation (supported for non-quantized configurations) - if((output != nullptr) && (output->total_size() != 0)) - { - ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); - } - } - - return Status{}; -} - -std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *bias, ITensorInfo *output) -{ - bool window_changed = false; - const unsigned int num_elems_processed_per_iteration = 16 / element_size_from_data_type(input->data_type()); - - // Configure kernel window - Window win = calculate_max_window(*input, Steps(num_elems_processed_per_iteration)); - - // Input window - AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); - window_changed = window_changed || update_window_and_padding(win, input_access); - - // Bias window - if(bias != nullptr) - { - AccessWindowStatic bias_access(bias, 0, 0, ceil_to_multiple(bias->dimension(0), num_elems_processed_per_iteration), bias->dimension(1)); - window_changed = window_changed || update_window_and_padding(win, bias_access); - } - - // Output window - if(output != nullptr && (output->total_size() != 0)) - { - AccessWindowHorizontal output_access(output, 0, num_elems_processed_per_iteration); - window_changed = window_changed || update_window_and_padding(win, output_access); - output_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape())); - } - else - { - input_access.set_valid_region(win, ValidRegion(Coordinates(), input->tensor_shape())); - } - - Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; - return std::make_pair(err, win); -} -} // namespace - -CLDirectConvolutionLayerOutputStageKernel::CLDirectConvolutionLayerOutputStageKernel() - : _input(nullptr), _bias(nullptr), _output(nullptr), _result_fixedpoint_multiplier(0), _result_shift(0), _result_offset_after_shift(0) -{ -} - -void CLDirectConvolutionLayerOutputStageKernel::configure(ICLTensor *input, const ICLTensor *bias, ICLTensor *output, - int result_fixedpoint_multiplier, int result_shift, int result_offset_after_shift) -{ - ARM_COMPUTE_ERROR_ON_NULLPTR(input); - - // Auto-initialize output if required - if(output != nullptr) - { - // Work out expected output data type - const DataType output_dt = (input->info()->data_type() == DataType::S32) ? DataType::QASYMM8 : input->info()->data_type(); - // Output tensor auto initialization if not yet initialized - auto_init_if_empty(*output->info(), input->info()->clone()->set_data_type(output_dt)); - } - - // Perform validation step - ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (bias == nullptr) ? nullptr : bias->info(), (output == nullptr) ? nullptr : output->info())); - - _bias = bias; - _input = input; - _output = output; - _result_fixedpoint_multiplier = result_fixedpoint_multiplier; - _result_shift = result_shift; - _result_offset_after_shift = result_offset_after_shift; - - const unsigned int num_elems_accessed_per_iteration = 16 / element_size_from_data_type(input->info()->data_type()); - - // Create kernel - CLBuildOptions build_opts; - build_opts.add_option_if(bias != nullptr, "-DHAS_BIAS"); - build_opts.add_option("-D" + string_from_data_layout(input->info()->data_layout())); - build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_accessed_per_iteration)); - _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("output_stage_quantized", build_opts.options())); - - // Set static kernel arguments - int idx = 2 * num_arguments_per_3D_tensor() + ((bias != nullptr) ? num_arguments_per_1D_tensor() : 0); - _kernel.setArg<int>(idx++, _result_offset_after_shift); - _kernel.setArg<int>(idx++, _result_fixedpoint_multiplier); - _kernel.setArg<int>(idx++, _result_shift); - - // Configure kernel window - auto win_config = validate_and_configure_window(input->info(), (bias == nullptr) ? nullptr : bias->info(), (output == nullptr) ? nullptr : output->info()); - ARM_COMPUTE_ERROR_THROW_ON(win_config.first); - ICLKernel::configure_internal(win_config.second); -} - -Status CLDirectConvolutionLayerOutputStageKernel::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output) -{ - ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, bias, output)); - ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), bias == nullptr ? nullptr : bias->clone().get(), output == nullptr ? nullptr : output->clone().get()).first); - - return Status{}; -} - -void CLDirectConvolutionLayerOutputStageKernel::run(const Window &window, cl::CommandQueue &queue) -{ - ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); - ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(ICLKernel::window(), window); - - Window slice = window.first_slice_window_3D(); - - // Set bias vector - if(_bias != nullptr) - { - unsigned int idx1 = 2 * num_arguments_per_3D_tensor(); - Window slice_biases; - slice_biases.use_tensor_dimensions(_bias->info()->tensor_shape()); - add_1D_tensor_argument(idx1, _bias, slice_biases); - } - - // Run kernel - do - { - // Set arguments - unsigned int idx = 0; - add_3D_tensor_argument(idx, _input, slice); - add_3D_tensor_argument(idx, _output, slice); - enqueue(queue, *this, slice, lws_hint()); - } - while(window.slide_window_slice_3D(slice)); -} -} // namespace arm_compute |