/* * Copyright (c) 2018-2021, 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/ClElementwiseUnaryKernel.h" #include "arm_compute/core/CL/CLHelpers.h" #include "arm_compute/core/CL/ICLTensor.h" #include "arm_compute/core/Utils.h" #include "arm_compute/core/utils/helpers/AdjustVecSize.h" #include "arm_compute/core/utils/StringUtils.h" #include "src/core/CL/CLValidate.h" #include "src/core/helpers/WindowHelpers.h" #include "support/Cast.h" #include "support/StringSupport.h" namespace arm_compute { namespace opencl { namespace kernels { namespace { constexpr unsigned int vector_size_byte_opencl = 16; Status validate_arguments(const ITensorInfo &src, const ITensorInfo &dst, const ElementWiseUnary op) { ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(&src); if (op == ElementWiseUnary::LOGICAL_NOT) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src, 1, DataType::U8); } else if (op == ElementWiseUnary::NEG) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src, 1, DataType::F16, DataType::F32, DataType::S32); } else if (op == ElementWiseUnary::RSQRT) // Allow quantized types for only RSQRT. { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src, 1, DataType::F16, DataType::F32, DataType::QASYMM8, DataType::QASYMM8_SIGNED); } else { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(&src, 1, DataType::F16, DataType::F32); } // Validate in case of configured dst if (dst.total_size() > 0) { ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(&dst); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(&src, &dst); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(&src, &dst); } return Status{}; } } // namespace ClElementWiseUnaryKernel::ClElementWiseUnaryKernel() { _type = CLKernelType::ELEMENTWISE; } void ClElementWiseUnaryKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, const ElementWiseUnary &op) { ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); auto padding_info = get_padding_info({src, dst}); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(*src, *dst, op)); const unsigned int num_elems_processed_per_iteration = adjust_vec_size(vector_size_byte_opencl / dst->element_size(), dst->dimension(0)); std::string kernel_name = "elementwise_unary"; const int vec_size_x = num_elems_processed_per_iteration; const int dst_width_x = dst->dimension(0); if (is_data_type_quantized(src->data_type())) { kernel_name += "_quantized"; } // Set kernel build options CLBuildOptions build_opts; build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(src->data_type())); build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x)); build_opts.add_option("-DLAST_ACCESSED_X=" + support::cpp11::to_string(std::max(dst_width_x - vec_size_x, 0))); if (is_data_type_quantized(src->data_type())) { const UniformQuantizationInfo iqinfo = src->quantization_info().uniform(); const UniformQuantizationInfo oqinfo = dst->quantization_info().uniform(); build_opts.add_option("-DOFFSET_IN=" + support::cpp11::to_string(iqinfo.offset)); build_opts.add_option("-DOFFSET_OUT=" + support::cpp11::to_string(oqinfo.offset)); build_opts.add_option("-DSCALE_IN=" + float_to_string_with_full_precision(iqinfo.scale)); build_opts.add_option("-DSCALE_OUT=" + float_to_string_with_full_precision(oqinfo.scale)); } switch (op) { case ElementWiseUnary::RSQRT: build_opts.add_option("-DOPERATION=rsqrt_op"); break; case ElementWiseUnary::EXP: build_opts.add_option("-DOPERATION=exp_op"); break; case ElementWiseUnary::NEG: build_opts.add_option("-DOPERATION=neg_op"); break; case ElementWiseUnary::SIN: build_opts.add_option("-DOPERATION=sin_op"); break; case ElementWiseUnary::ABS: build_opts.add_option("-DOPERATION=fabs_op"); break; case ElementWiseUnary::LOG: build_opts.add_option("-DOPERATION=natural_log_op"); break; case ElementWiseUnary::ROUND: build_opts.add_option("-DOPERATION=round_op"); break; case ElementWiseUnary::LOGICAL_NOT: build_opts.add_option("-DOPERATION=logical_not_op"); break; default: ARM_COMPUTE_ERROR("Not implemented"); } // Create kernel _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); // Configure kernel window Window win = calculate_max_window(*dst); 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 ClElementWiseUnaryKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, const ElementWiseUnary &op) { ARM_COMPUTE_UNUSED(op); ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(*src, *dst, op)); return Status{}; } void ClElementWiseUnaryKernel::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); Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); Window slice = collapsed.first_slice_window_3D(); const auto src = utils::cast::polymorphic_downcast(tensors.get_const_tensor(TensorType::ACL_SRC)); auto dst = utils::cast::polymorphic_downcast(tensors.get_tensor(TensorType::ACL_DST)); 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 (collapsed.slide_window_slice_3D(slice)); } } // namespace kernels } // namespace opencl } // namespace arm_compute