| /* |
| * 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 <set> |
| #include <string> |
| |
| 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; |
| |
| // 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<std::string> 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<GCKernel>(GCKernelLibrary::get().create_kernel("transpose", build_opts)); |
| |
| const unsigned int width_aligned = num_elems_processed_per_iteration * static_cast<unsigned int>(_lws_hint[0]); |
| const unsigned int height_aligned = num_elems_processed_per_iteration * static_cast<unsigned int>(_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)); |
| } |