| /* |
| * Copyright (c) 2017-2020 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 "arm_compute/core/CL/kernels/CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel.h" |
| |
| #include "arm_compute/core/AccessWindowStatic.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/Validate.h" |
| #include "arm_compute/core/Window.h" |
| #include "support/StringSupport.h" |
| |
| using namespace arm_compute; |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::S32); |
| ARM_COMPUTE_RETURN_ERROR_ON(min > max); |
| |
| // Check biases if exist |
| if(bias != nullptr) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, bias); |
| ARM_COMPUTE_RETURN_ERROR_ON(bias->num_dimensions() > 1); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(0) != bias->dimension(0)); |
| } |
| |
| if(output->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::QASYMM8); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| } |
| |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(ITensorInfo *input, ITensorInfo *bias, ITensorInfo *output) |
| { |
| constexpr unsigned int num_elems_processed_per_iteration = 4; |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*output, Steps(num_elems_processed_per_iteration)); |
| |
| AccessWindowHorizontal input_access(input, 0, num_elems_processed_per_iteration); |
| |
| bool window_changed = update_window_and_padding(win, |
| input_access); |
| |
| if(output->total_size() != 0) |
| { |
| AccessWindowHorizontal output_result_access(output, 0, num_elems_processed_per_iteration); |
| window_changed = window_changed || update_window_and_padding(win, output_result_access); |
| |
| output_result_access.set_valid_region(win, ValidRegion(Coordinates(), output->tensor_shape())); |
| } |
| |
| if(bias != nullptr) |
| { |
| AccessWindowStatic bias_access(bias, 0, 0, ceil_to_multiple(bias->dimension(0), num_elems_processed_per_iteration), bias->tensor_shape()[1]); |
| window_changed = window_changed || update_window_and_padding(win, bias_access); |
| } |
| |
| Status err = (window_changed) ? ARM_COMPUTE_CREATE_ERROR(ErrorCode::RUNTIME_ERROR, "Insufficient Padding!") : Status{}; |
| return std::make_pair(err, win); |
| } |
| } // namespace |
| |
| class Coordinates; |
| } // namespace arm_compute |
| |
| CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel() |
| : _input(nullptr), _bias(nullptr), _output(nullptr) |
| { |
| } |
| Status CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, int min, int max) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, bias, output, min, max)); |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_and_configure_window(input->clone().get(), |
| (bias != nullptr) ? bias->clone().get() : nullptr, |
| output->clone().get()) |
| .first); |
| |
| return Status{}; |
| } |
| |
| void CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, int result_offset, int result_mult_int, int result_shift, int min, |
| int max) |
| { |
| // Perform validate step |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| // Output auto inizialitation if not yet initialized |
| auto_init_if_empty(*output->info(), input->info()->clone()->set_data_type(DataType::QASYMM8)); |
| |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), |
| (bias != nullptr) ? bias->info() : nullptr, |
| output->info(), |
| min, |
| max)); |
| |
| _input = input; |
| _bias = bias; |
| _output = output; |
| |
| // Set the arguments to pass at compile time |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DRESULT_OFFSET=" + support::cpp11::to_string(result_offset)); |
| build_opts.add_option("-DRESULT_MULT_INT=" + support::cpp11::to_string(result_mult_int)); |
| build_opts.add_option("-DRESULT_SHIFT=" + support::cpp11::to_string(result_shift)); |
| build_opts.add_option_if((min > 0), "-DMIN_BOUND=" + support::cpp11::to_string(min)); |
| build_opts.add_option_if((max < 255), "-DMAX_BOUND=" + support::cpp11::to_string(max)); |
| build_opts.add_option_if(bias != nullptr, "-DADD_BIAS"); |
| |
| // Create kernel |
| _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("gemmlowp_output_stage_quantize_down", build_opts.options())); |
| |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(input->info(), (bias != nullptr) ? bias->info() : nullptr, output->info()); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| ICLKernel::configure_internal(win_config.second); |
| } |
| |
| void CLGEMMLowpQuantizeDownInt32ToUint8ScaleKernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); |
| |
| Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); |
| Window slice = collapsed.first_slice_window_3D(); |
| |
| unsigned int idx1 = num_arguments_per_3D_tensor(); |
| if(_bias != nullptr) |
| { |
| Window biases_slice(slice); |
| biases_slice.set(Window::DimY, Window::Dimension(0, 1, 1)); |
| biases_slice.set(Window::DimZ, Window::Dimension(0, 1, 1)); |
| add_1D_tensor_argument(idx1, _bias, biases_slice); |
| } |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, _input, slice); |
| add_3D_tensor_argument(idx1, _output, slice); |
| enqueue(queue, *this, slice, lws_hint()); |
| } |
| while(collapsed.slide_window_slice_3D(slice)); |
| } |