| /* |
| * Copyright (c) 2017-2021, 2023 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/gpu/cl/kernels/ClDequantizeKernel.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/utils/StringUtils.h" |
| #include "arm_compute/core/Validate.h" |
| |
| #include "src/core/CL/CLValidate.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| |
| #include "support/Cast.h" |
| #include "support/StringSupport.h" |
| |
| namespace arm_compute |
| { |
| namespace opencl |
| { |
| namespace kernels |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *src, const ITensorInfo *dst) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::QSYMM8_PER_CHANNEL, DataType::QSYMM8, DataType::QSYMM16); |
| |
| if(dst->tensor_shape().total_size() > 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(dst); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::F16, DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| ClDequantizeKernel::ClDequantizeKernel() |
| { |
| _type = CLKernelType::ELEMENTWISE; |
| } |
| |
| void ClDequantizeKernel::configure(const CLCompileContext &compile_context, ITensorInfo *src, ITensorInfo *dst) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); |
| |
| // Output tensor auto initialization if not yet initialized |
| auto_init_if_empty(*dst, src->tensor_shape(), 1, DataType::F32); |
| |
| auto padding_info = get_padding_info({ src, dst }); |
| |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst)); |
| |
| const int vec_size_x = 16 / dst->element_size(); |
| const int output_width_x = dst->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(src->data_type()); |
| std::string kernel_name = "dequantization_layer"; |
| |
| // Create kernel |
| CLBuildOptions build_opts; |
| if(!is_quantized_per_channel) |
| { |
| const UniformQuantizationInfo qinfo = src->quantization_info().uniform(); |
| const int qoffset = is_data_type_quantized_asymmetric(src->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 += src->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(src->data_type())); |
| build_opts.add_option("-DDATA_TYPE_DST=" + get_cl_type_from_data_type(dst->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(*dst); |
| 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); |
| |
| ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); |
| } |
| |
| Status ClDequantizeKernel::validate(const ITensorInfo *src, const ITensorInfo *dst) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst)); |
| return Status{}; |
| } |
| |
| void ClDequantizeKernel::run_op(ITensorPack &tensors, const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); |
| |
| auto src = utils::cast::polymorphic_downcast<const ICLTensor *>(tensors.get_const_tensor(TensorType::ACL_SRC)); |
| auto dst = utils::cast::polymorphic_downcast<ICLTensor *>(tensors.get_tensor(TensorType::ACL_DST)); |
| |
| const bool is_quantized_per_channel = is_data_type_quantized_per_channel(src->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++, src->quantization().scale->cl_buffer()); |
| } |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, src, slice); |
| add_3D_tensor_argument(idx, dst, slice); |
| enqueue(queue, *this, slice, lws_hint()); |
| } |
| while(new_window.slide_window_slice_3D(slice)); |
| } |
| } // namespace kernels |
| } // namespace opencl |
| } // namespace arm_compute |