/* * Copyright (c) 2017-2018 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 "arm_compute/core/GLES_COMPUTE/kernels/GCTransposeKernel.h" #include "arm_compute/core/AccessWindowStatic.h" #include "arm_compute/core/Error.h" #include "arm_compute/core/GLES_COMPUTE/GCHelpers.h" #include "arm_compute/core/GLES_COMPUTE/GCKernelLibrary.h" #include "arm_compute/core/GLES_COMPUTE/IGCTensor.h" #include "arm_compute/core/GLES_COMPUTE/OpenGLES.h" #include "arm_compute/core/Helpers.h" #include "arm_compute/core/Types.h" #include #include using namespace arm_compute; void GCTransposeKernel::configure(const IGCTensor *input, IGCTensor *output) { ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); ARM_COMPUTE_ERROR_ON_NULLPTR(output); TensorShape output_shape{ input->info()->tensor_shape() }; const size_t w_out = input->info()->dimension(1); const size_t h_out = input->info()->dimension(0); output_shape.set(0, w_out); output_shape.set(1, h_out); // Output tensor auto inizialitation if not yet initialized auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type()); ARM_COMPUTE_ERROR_ON_MISMATCHING_DIMENSIONS(output->info()->tensor_shape(), output_shape); ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); _input = input; _output = output; // for better performance if(w_out < 512 && h_out < 512) { _lws_hint = gles::NDRange(8U, 1U, 1U); } else { _lws_hint = gles::NDRange(1U, 8U, 1U); } std::set build_opts; std::string dt_name = (input->info()->data_type() == DataType::F32) ? "DATA_TYPE_FP32" : "DATA_TYPE_FP16"; build_opts.emplace(("#define " + dt_name)); build_opts.emplace("#define LOCAL_SIZE_X " + support::cpp11::to_string(_lws_hint[0])); build_opts.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(_lws_hint[1])); build_opts.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(_lws_hint[2])); // Configure kernel window unsigned int num_elems_processed_per_iteration = 4; if(input->info()->data_type() == DataType::F16) { #define TRANSPOSE_8X8 #if defined(TRANSPOSE_4X4) build_opts.emplace(("#define TRANSPOSE_4X4")); num_elems_processed_per_iteration = 4; #elif defined(TRANSPOSE_8X8) /* TRANSPOSE_4X4 */ if(w_out != h_out) { build_opts.emplace("#define TRANSPOSE_8X8"); num_elems_processed_per_iteration = 8; } else { build_opts.emplace("#define TRANSPOSE_8X8_SQUARE"); num_elems_processed_per_iteration = 8; } #endif /* TRANSPOSE_4X4 */ } // Create kernel _kernel = static_cast(GCKernelLibrary::get().create_kernel("transpose", build_opts)); const unsigned int width_aligned = num_elems_processed_per_iteration * static_cast(_lws_hint[0]); const unsigned int height_aligned = num_elems_processed_per_iteration * static_cast(_lws_hint[1]); AccessWindowStatic input_access(input->info(), 0, 0, ceil_to_multiple(input->info()->dimension(0), width_aligned), ceil_to_multiple(input->info()->dimension(1), height_aligned)); AccessWindowStatic output_access(output->info(), 0, 0, ceil_to_multiple(output->info()->dimension(0), height_aligned), ceil_to_multiple(output->info()->dimension(1), width_aligned)); Window win = calculate_max_window(*input->info(), Steps(width_aligned, height_aligned)); win.set_dimension_step(Window::DimX, num_elems_processed_per_iteration); win.set_dimension_step(Window::DimY, num_elems_processed_per_iteration); update_window_and_padding(win, input_access, output_access); output_access.set_valid_region(win, output->info()->valid_region()); IGCKernel::configure(win); } void GCTransposeKernel::run(const Window &window) { ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IGCKernel::window(), window); _kernel.use(); Window slice = window.first_slice_window_2D(); do { unsigned int idx = 0; add_2D_tensor_argument(idx, _input, 1, slice); add_2D_tensor_argument(idx, _output, 2, slice); _kernel.update_shader_params(); enqueue(*this, slice, _lws_hint); } while(window.slide_window_slice_2D(slice)); }