| /* |
| * Copyright (c) 2017-2020 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 "arm_compute/core/GLES_COMPUTE/kernels/GCCol2ImKernel.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 "arm_compute/core/Validate.h" |
| #include "support/StringSupport.h" |
| |
| using namespace arm_compute; |
| |
| GCCol2ImKernel::GCCol2ImKernel() |
| : _input(nullptr), _output(nullptr), _convolved_dims() |
| { |
| } |
| |
| void GCCol2ImKernel::configure(const IGCTensor *input, IGCTensor *output, |
| std::pair<unsigned int, unsigned int> convolved_dims) |
| { |
| 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(); |
| output_shape.set(0, convolved_dims.first); |
| output_shape.set(1, convolved_dims.second); |
| output_shape.set(2, input->info()->tensor_shape()[0]); |
| |
| // Output auto inizialitation if not yet initialized |
| auto_init_if_empty(*output->info(), input->info()->clone()->set_tensor_shape(output_shape)); |
| |
| 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; |
| _convolved_dims = convolved_dims; |
| |
| const DataType dt = input->info()->data_type(); |
| const unsigned int local_size = 1; |
| |
| // Create kernel |
| std::set<std::string> build_opts; |
| build_opts.emplace("#define COL2IM "); |
| build_opts.emplace("#define WIDTH_OUTPUT " + support::cpp11::to_string(_convolved_dims.first)); |
| const std::string dt_name = (dt == 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(local_size)); |
| build_opts.emplace("#define LOCAL_SIZE_Y " + support::cpp11::to_string(local_size)); |
| build_opts.emplace("#define LOCAL_SIZE_Z " + support::cpp11::to_string(local_size)); |
| |
| _kernel = static_cast<GCKernel>(GCKernelLibrary::get().create_kernel("col2im", build_opts)); |
| |
| // Configure window |
| const unsigned int num_elems_processed_per_iteration = (dt == DataType::F32) ? 1 : 2; |
| |
| Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); |
| |
| AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); |
| const int input_padding = ceil_to_multiple(input->info()->dimension(0), 2) - input->info()->dimension(0); |
| |
| AccessWindowStatic input_access(input->info(), 0, 0, input->info()->dimension(0) + input_padding, input->info()->dimension(1) + 1); |
| |
| update_window_and_padding(win, input_access, output_access); |
| |
| output_access.set_valid_region(win, output->info()->valid_region()); |
| |
| IGCKernel::configure(win); |
| } |
| |
| void GCCol2ImKernel::run(const Window &window) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_MISMATCHING_WINDOWS(IGCKernel::window(), window); |
| |
| _kernel.use(); |
| |
| Window collapsed_window = window.collapse_if_possible(IGCKernel::window(), Window::DimZ); |
| Window slice = collapsed_window.first_slice_window_3D(); |
| |
| // Set static kernel arguments |
| unsigned int idx = 2 * num_arguments_per_3D_tensor(); |
| //_kernel.set_argument(idx++, _output->info()->strides_in_bytes()[3]); |
| _kernel.set_argument(idx++, uint(_output->info()->dimension(2))); |
| _kernel.set_argument(idx++, _input->info()->strides_in_bytes()[2]); |
| |
| do |
| { |
| // Set inputs |
| unsigned int idx = 0; |
| add_2D_tensor_argument(idx, _input, 1, slice); |
| add_3D_tensor_argument(idx, _output, 2, slice); |
| _kernel.update_shader_params(); |
| enqueue(*this, slice); |
| } |
| while(collapsed_window.slide_window_slice_3D(slice)); |
| } |