/* * Copyright (c) 2018-2021 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/gpu/cl/kernels/ClCopyKernel.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/Helpers.h" #include "arm_compute/core/TensorInfo.h" #include "arm_compute/core/Utils.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, Window *dst_window = nullptr) { ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(src, dst); // Validate dst if initialized if(dst->total_size() != 0) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(src, dst); ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(src, dst); if(dst_window == nullptr) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(src->tensor_shape(), dst->tensor_shape()); } else { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(src->tensor_shape(), dst_window->shape()); } } return Status{}; } } // namespace void ClCopyKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, Window *dst_window) { ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, dst_window)); auto padding_info = get_padding_info({ src, dst }); // Create kernel CLBuildOptions build_opts; build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(src->data_type())); // Output auto inizialitation if not yet initialized auto_init_if_empty(*dst, *src); // Configure window const unsigned int vec_size_x = adjust_vec_size(16 / src->element_size(), src->dimension(0)); const Window win_config = calculate_max_window(*src, Steps(vec_size_x)); if(dst_window != nullptr) { _has_dst_window = true; _dst_window = Window(*dst_window); const int width_x = dst_window->num_iterations(0); const int vec_size_x_leftover = width_x % vec_size_x; const bool multi_access_x = width_x >= static_cast(vec_size_x); if(multi_access_x) { _dst_window.set(Window::DimX, Window::Dimension(dst_window->x().start(), ceil_to_multiple(dst_window->x().end(), vec_size_x), vec_size_x)); } build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(vec_size_x_leftover)); } else { const int width_x = src->tensor_shape().x(); const int vec_size_x_leftover = width_x % vec_size_x; build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(vec_size_x_leftover)); } build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x)); // Build kernel _kernel = create_kernel(compile_context, "copy_tensor", build_opts.options()); // Validate and set the window ICLKernel::configure_internal(win_config); ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); } Status ClCopyKernel::validate(const arm_compute::ITensorInfo *src, const arm_compute::ITensorInfo *dst, Window *dst_window) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, dst_window)); return Status{}; } void ClCopyKernel::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); 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)); Window slice; if(_has_dst_window) { slice = window.first_slice_window_3D(); Window out_slice = _dst_window.first_slice_window_3D(); do { unsigned int idx = 0; add_3D_tensor_argument(idx, src, slice); add_3D_tensor_argument(idx, dst, out_slice); enqueue(queue, *this, slice, lws_hint()); } while(window.slide_window_slice_3D(slice) && _dst_window.slide_window_slice_3D(out_slice)); } else { Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); slice = collapsed.first_slice_window_3D(); 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