| /* |
| * Copyright (c) 2018-2020 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/CLTileKernel.h" |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.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, const Multiples &multiples) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->data_type() == DataType::UNKNOWN); |
| ARM_COMPUTE_RETURN_ERROR_ON(multiples.size() > 4); |
| ARM_COMPUTE_RETURN_ERROR_ON(multiples.empty()); |
| ARM_COMPUTE_RETURN_ERROR_ON(std::any_of(multiples.begin(), multiples.end(), [](uint32_t e) |
| { |
| return e == 0; |
| })); |
| |
| // Validate output if initialized |
| if(output->total_size() != 0) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(misc::shape_calculator::compute_tiled_shape(input->tensor_shape(), multiples), output->tensor_shape()); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| } |
| |
| return Status{}; |
| } |
| } // namespace |
| |
| CLTileKernel::CLTileKernel() |
| : _input(nullptr), _output(nullptr) |
| { |
| } |
| |
| void CLTileKernel::configure(const ICLTensor *input, ICLTensor *output, const Multiples &multiples) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, output, multiples); |
| } |
| |
| void CLTileKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, const Multiples &multiples) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| // Auto initialize output |
| TensorShape tiled_shape = misc::shape_calculator::compute_tiled_shape(input->info()->tensor_shape(), multiples); |
| auto_init_if_empty(*output->info(), tiled_shape, 1, input->info()->data_type()); |
| |
| // Validate |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), output->info(), multiples)); |
| |
| _input = input; |
| _output = output; |
| |
| const DataType data_type = input->info()->data_type(); |
| const int vec_size_x = 16 / input->info()->element_size(); |
| const int input_width_x = input->info()->tensor_shape().x(); |
| const unsigned int offset = ceil_to_multiple(input_width_x, vec_size_x) - input_width_x; |
| const bool multi_access_x = (input_width_x / vec_size_x > 0); |
| |
| // Create kernel |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE=" + get_cl_unsigned_type_from_element_size(data_size_from_type(data_type))); |
| build_opts.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(input_width_x)); |
| build_opts.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(input->info()->dimension(1))); |
| build_opts.add_option("-DSRC_DEPTH=" + support::cpp11::to_string(input->info()->dimension(2))); |
| build_opts.add_option("-DSRC_BATCHES=" + support::cpp11::to_string(input->info()->dimension(3))); |
| build_opts.add_option("-DDST_DEPTH=" + support::cpp11::to_string(output->info()->dimension(2))); |
| build_opts.add_option_if(multi_access_x, "-DOFFSET=" + support::cpp11::to_string(offset)); |
| build_opts.add_option_if(multi_access_x, "-DVEC_SIZE=" + support::cpp11::to_string(vec_size_x)); |
| _kernel = create_kernel(compile_context, "tile", build_opts.options()); |
| |
| // Configure window without padding |
| Window win = calculate_max_window(*output->info()); |
| |
| if(multi_access_x) |
| { |
| // If multi-access is enabled, no thread should cross the tile boundaries. This means we need |
| // as many threads as those to cover a single tile times multiples[0]. Note that if threads |
| // do not cross the boundaries of the tiles, they won't cross the boundaries of the last tile, and |
| // we don't need to pad the output |
| const unsigned int size_win_x = ceil_to_multiple(input->info()->dimension(0), vec_size_x) * multiples[0]; |
| win.set(Window::DimX, |
| Window::Dimension(win.x().start(), size_win_x, vec_size_x)); |
| } |
| |
| ICLKernel::configure_internal(win); |
| |
| // Set config_id for enabling LWS tuning |
| _config_id = "tile"; |
| _config_id += "_"; |
| _config_id += lower_string(string_from_data_type(input->info()->data_type())); |
| for(unsigned int i = 0; i < multiples.size(); ++i) |
| { |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input->info()->dimension(i)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(multiples[i]); |
| } |
| } |
| |
| Status CLTileKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Multiples &multiples) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, output, multiples)); |
| return Status{}; |
| } |
| |
| void CLTileKernel::run(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_4D(); |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_4D_tensor_argument(idx, _input, slice); |
| add_4D_tensor_argument(idx, _output, slice); |
| enqueue(queue, *this, slice, lws_hint()); |
| } |
| while(collapsed.slide_window_slice_4D(slice)); |
| } |
| } // namespace arm_compute |