/* * Copyright (c) 2016-2021 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/ClCastKernel.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/CL/OpenCL.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, ConvertPolicy policy) { ARM_COMPUTE_UNUSED(policy); ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(src); ARM_COMPUTE_RETURN_ERROR_ON(src == dst); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(src, 1, DataType::U8, DataType::S8, DataType::QSYMM8_PER_CHANNEL, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(dst, 1, DataType::U8, DataType::S8, DataType::QASYMM8, DataType::S16, DataType::U16, DataType::U32, DataType::S32, DataType::F16, DataType::F32); ARM_COMPUTE_RETURN_ERROR_ON_MSG(src->data_type() == dst->data_type(), "src and dst data types must be different"); // Validate in case of configured dst if(dst->total_size() > 0) { ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_SHAPES(src, dst); } return Status{}; } } // namespace void ClCastKernel::configure(const CLCompileContext &compile_context, const ITensorInfo *src, ITensorInfo *dst, ConvertPolicy policy) { ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); // Auto initialize dst shape if not initialized (We can only auto-configure the shape, datatype must be given) set_shape_if_empty(*dst, src->tensor_shape()); ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(src, dst, policy)); auto padding_info = get_padding_info({ src, dst }); // Get data sizes const size_t src_size = data_size_from_type(src->data_type()); const size_t dst_size = data_size_from_type(dst->data_type()); // Get number of elements to process per iterations const unsigned int num_elems_processed_per_iteration = adjust_vec_size(16 / src->element_size(), src->dimension(0)); // Set build options CLBuildOptions build_opts; build_opts.add_option("-DVEC_SIZE=" + support::cpp11::to_string(num_elems_processed_per_iteration)); build_opts.add_option("-DVEC_SIZE_LEFTOVER=" + support::cpp11::to_string(src->dimension(0) % num_elems_processed_per_iteration)); build_opts.add_option("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(src->data_type())); build_opts.add_option("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(dst->data_type())); // Conversions from float always SATURATE as out-of-bounds conversion from float->integer is implementation defined build_opts.add_option_if(is_data_type_float(src->data_type()) || policy == ConvertPolicy::SATURATE, "-DSATURATE"); build_opts.add_option_if(is_data_type_float(src->data_type()) || is_data_type_float(dst->data_type()), "-DIS_DATA_TYPE_FLOAT"); build_opts.add_option_if(is_data_type_quantized(src->data_type()), "-DIS_DATA_TYPE_QUANTIZED"); // Create kernel const std::string kernel_name = (src_size >= dst_size) ? "cast_down" : "cast_up"; _kernel = create_kernel(compile_context, kernel_name, build_opts.options()); // Configure kernel Window win = calculate_max_window(*src, Steps(num_elems_processed_per_iteration)); ICLKernel::configure_internal(win); // Collapse window const Window &full_window = window(); Window collapsed_window = full_window.collapse_if_possible(full_window, Window::DimZ); ICLKernel::configure_internal(collapsed_window); ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); // Set config_id for enabling LWS tuning _config_id = kernel_name; _config_id += "_"; _config_id += lower_string(string_from_data_type(src->data_type())); _config_id += "_"; _config_id += support::cpp11::to_string(src->dimension(0)); _config_id += "_"; _config_id += support::cpp11::to_string(src->dimension(1)); _config_id += "_"; _config_id += support::cpp11::to_string(dst->dimension(0)); _config_id += "_"; _config_id += support::cpp11::to_string(dst->dimension(1)); } Status ClCastKernel::validate(const ITensorInfo *src, const ITensorInfo *dst, ConvertPolicy policy) { ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(src, dst, policy)); return Status{}; } void ClCastKernel::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)); ARM_COMPUTE_ERROR_ON_NULLPTR(src, dst); Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); Window 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