| /* |
| * Copyright (c) 2017-2019 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/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/CL/CLKernelLibrary.h" |
| #include "arm_compute/core/CL/CLValidate.h" |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/Error.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/Window.h" |
| |
| using namespace arm_compute; |
| |
| CLDeconvolutionLayerUpsampleKernel::CLDeconvolutionLayerUpsampleKernel() |
| : _input(nullptr), _output(nullptr), _info() |
| { |
| } |
| |
| Status CLDeconvolutionLayerUpsampleKernel::validate(const ITensorInfo *input, const ITensorInfo *output, |
| const PadStrideInfo &info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input); |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8, DataType::F16, DataType::F32); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output); |
| |
| const DataLayout data_layout = input->data_layout(); |
| |
| const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); |
| const size_t idx_h = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); |
| const size_t idx_c = get_data_layout_dimension_index(data_layout, DataLayoutDimension::CHANNEL); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_w) == 0); |
| ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_h) == 0); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(idx_c) != output->dimension(idx_c)); |
| for(size_t i = 3; i < Coordinates::num_max_dimensions; ++i) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(i) != output->dimension(i)); |
| } |
| |
| return Status{}; |
| } |
| |
| void CLDeconvolutionLayerUpsampleKernel::configure(const ICLTensor *input, ICLTensor *output, |
| const PadStrideInfo &info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| _input = input; |
| _output = output; |
| _info = info; |
| |
| // Perform validation step |
| ARM_COMPUTE_ERROR_THROW_ON(CLDeconvolutionLayerUpsampleKernel::validate(input->info(), output->info(), info)); |
| |
| // Create kernel |
| CLBuildOptions build_opts; |
| build_opts.add_option(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type()))); |
| _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("deconvolution_upsample", build_opts.options())); |
| |
| constexpr unsigned int num_elems_processed_per_iteration = 1; |
| |
| // Configure kernel window |
| Window win = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration)); |
| AccessWindowHorizontal output_access(output->info(), 0, num_elems_processed_per_iteration); |
| output_access.set_valid_region(win, ValidRegion(Coordinates(), output->info()->tensor_shape())); |
| |
| ICLKernel::configure_internal(win); |
| } |
| |
| void CLDeconvolutionLayerUpsampleKernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); |
| |
| const DataLayout data_layout = _input->info()->data_layout(); |
| |
| const size_t idx_w = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH); |
| const size_t idx_h = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT); |
| |
| const int out_start_x = _info.pad_left(); |
| const int out_end_x = _output->info()->dimension(idx_w) - _info.pad_right() + _info.stride().first - 1; |
| const int out_step_x = _info.stride().first; |
| |
| const int out_start_y = _info.pad_top(); |
| const int out_end_y = _output->info()->dimension(idx_h) - _info.pad_bottom() + _info.stride().second - 1; |
| const int out_step_y = _info.stride().second; |
| |
| switch(data_layout) |
| { |
| case DataLayout::NCHW: |
| { |
| Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); |
| |
| Window slice_out = collapsed.first_slice_window_3D(); |
| slice_out.set(Window::DimX, Window::Dimension(out_start_x, out_end_x, out_step_x)); |
| slice_out.set(Window::DimY, Window::Dimension(out_start_y, out_end_y, out_step_y)); |
| |
| Window slice_in = collapsed.first_slice_window_3D(); |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, _input, slice_in); |
| add_3D_tensor_argument(idx, _output, slice_out); |
| enqueue(queue, *this, slice_out, lws_hint()); |
| } |
| while(collapsed.slide_window_slice_3D(slice_in) && collapsed.slide_window_slice_3D(slice_out)); |
| break; |
| } |
| case DataLayout::NHWC: |
| { |
| // NOTE: not collapsing in NHWC |
| Window slice_out = window.first_slice_window_3D(); |
| slice_out.set(Window::DimY, Window::Dimension(out_start_x, out_end_x, out_step_x)); |
| slice_out.set(Window::DimZ, Window::Dimension(out_start_y, out_end_y, out_step_y)); |
| |
| Window slice_in = window.first_slice_window_3D(); |
| |
| do |
| { |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, _input, slice_in); |
| add_3D_tensor_argument(idx, _output, slice_out); |
| enqueue(queue, *this, slice_out, lws_hint()); |
| } |
| while(window.slide_window_slice_3D(slice_in) && window.slide_window_slice_3D(slice_out)); |
| break; |
| } |
| default: |
| ARM_COMPUTE_ERROR("Unsupported data layout"); |
| } |
| } |