| /* |
| * 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 "src/core/CL/kernels/CLDequantizationLayerKernel.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/CL/CLKernelLibrary.h" |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/TensorInfo.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "src/core/AccessWindowStatic.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 |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM8_PER_CHANNEL, DataType::QSYMM8, DataType::QSYMM16); |
| |
| if(output->tensor_shape().total_size() > 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(output); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F16, DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(input, output); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| CLDequantizationLayerKernel::CLDequantizationLayerKernel() |
| : _input(nullptr), _output(nullptr) |
| { |
| } |
| |
| void CLDequantizationLayerKernel::configure(const ICLTensor *input, ICLTensor *output) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, output); |
| } |
| |
| void CLDequantizationLayerKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| // Output tensor auto initialization if not yet initialized |
| auto_init_if_empty(*output->info(), input->info()->tensor_shape(), 1, DataType::F32); |
| |
| auto padding_info = get_padding_info({ input, output }); |
| |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info())); |
| |
| _input = input; |
| _output = output; |
| |
| const int vec_size_x = 16 / output->info()->element_size(); |
| const int output_width_x = output->info()->tensor_shape().x(); |
| const bool multi_access_x = (output_width_x / vec_size_x > 0); |
| |
| const bool is_quantized_per_channel = is_data_type_quantized_per_channel(input->info()->data_type()); |
| std::string kernel_name = "dequantization_layer"; |
| |
| // Create kernel |
| CLBuildOptions build_opts; |
| if(!is_quantized_per_channel) |
| { |
| const UniformQuantizationInfo qinfo = input->info()->quantization_info().uniform(); |
| const int qoffset = is_data_type_quantized_asymmetric(input->info()->data_type()) ? qinfo.offset : 0; |
| build_opts.add_option("-DSCALE=" + float_to_string_with_full_precision(qinfo.scale)); |
| build_opts.add_option("-DOFFSET=" + support::cpp11::to_string(qoffset)); |
| } |
| else |
| { |
| kernel_name += "_per_channel"; |
| kernel_name += input->info()->data_layout() == DataLayout::NCHW ? "_nchw" : "_nhwc"; |
| } |
| |
| build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x)); |
| build_opts.add_option("-DDATA_TYPE_SRC=" + get_cl_type_from_data_type(input->info()->data_type())); |
| build_opts.add_option("-DDATA_TYPE_DST=" + get_cl_type_from_data_type(output->info()->data_type())); |
| build_opts.add_option_if(multi_access_x, "-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max<int>(output_width_x - vec_size_x, 0))); |
| |
| // Create kernel name |
| _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*output->info()); |
| if(multi_access_x) |
| { |
| win.set(Window::DimX, |
| Window::Dimension(win.x().start(), ceil_to_multiple(win.x().end(), vec_size_x), vec_size_x)); |
| } |
| ICLKernel::configure_internal(win); |
| |
| // Set output valid region |
| output->info()->set_valid_region(ValidRegion(Coordinates(), output->info()->tensor_shape())); |
| |
| ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); |
| } |
| |
| Status CLDequantizationLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output)); |
| return Status{}; |
| } |
| |
| void CLDequantizationLayerKernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); |
| |
| const bool is_quantized_per_channel = is_data_type_quantized_per_channel(_input->info()->data_type()); |
| |
| // Collapse windo |
| Window new_window = is_quantized_per_channel ? window.collapse_if_possible(ICLKernel::window(), 4) : window.collapse_if_possible(ICLKernel::window(), 3); |
| Window slice = new_window.first_slice_window_3D(); |
| |
| if(is_quantized_per_channel) |
| { |
| unsigned int idx = num_arguments_per_3D_tensor() * 2; //Skip the input and output parameters |
| _kernel.setArg(idx++, _input->quantization().scale->cl_buffer()); |
| } |
| |
| do |
| { |
| 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(new_window.slide_window_slice_3D(slice)); |
| } |
| } // namespace arm_compute |