/* * Copyright (c) 2017 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/AccessWindowTranspose.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(), input->info()->fixed_point_position()); 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; 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(1)); build_opts.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(1)); build_opts.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(1)); // Create kernel _kernel = static_cast(GCKernelLibrary::get().create_kernel("transpose", build_opts)); _kernel.clear_params(); // Configure kernel window const unsigned int num_elems_processed_per_iteration = 4; Window win = calculate_max_window(*input->info(), Steps(num_elems_processed_per_iteration, num_elems_processed_per_iteration)); AccessWindowRectangle input_access(input->info(), 0, 0, num_elems_processed_per_iteration, num_elems_processed_per_iteration); AccessWindowTranspose output_access(output->info(), 0, 0, num_elems_processed_per_iteration, num_elems_processed_per_iteration); update_window_and_padding(win, input_access, output_access); output_access.set_valid_region(win, input->info()->valid_region()); // set shader params binding point _kernel.set_shader_params_binding_point(0); 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; if(_input->info()->data_type() == DataType::F32) { add_2D_tensor_argument(idx, _input, 1, slice); add_2D_tensor_argument(idx, _output, 2, slice); } else if(_input->info()->data_type() == DataType::F16) { add_2D_tensor_argument(idx, _input, BufferParam(1, 3), slice); add_2D_tensor_argument(idx, _output, BufferParam(2, 3), slice); } _kernel.update_shader_params(); enqueue(*this, slice); } while(window.slide_window_slice_2D(slice)); }