| /* |
| * Copyright (c) 2019-2020 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 "src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.h" |
| |
| #include "arm_compute/core/CL/CLHelpers.h" |
| #include "arm_compute/core/CL/CLKernelLibrary.h" |
| #include "arm_compute/core/CL/ICLTensor.h" |
| #include "arm_compute/core/Helpers.h" |
| #include "arm_compute/core/Utils.h" |
| #include "arm_compute/core/Validate.h" |
| #include "arm_compute/core/utils/misc/ShapeCalculator.h" |
| #include "src/core/helpers/AutoConfiguration.h" |
| #include "src/core/helpers/WindowHelpers.h" |
| #include "support/StringSupport.h" |
| |
| namespace arm_compute |
| { |
| namespace |
| { |
| Status validate_arguments(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const ITensorInfo *input_info, const ITensorInfo *weights_info, |
| const PadStrideInfo &deconv_info) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output, input_info, weights_info); |
| 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 size_t idx_b = get_data_layout_dimension_index(data_layout, DataLayoutDimension::BATCHES); |
| |
| const bool is_qasymm = is_data_type_quantized_asymmetric(input_info->data_type()); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON(weights_info->dimension(idx_w) != deconv_info.stride().first); |
| ARM_COMPUTE_RETURN_ERROR_ON(weights_info->dimension(idx_h) != deconv_info.stride().second); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32, DataType::F16, DataType::QASYMM8, DataType::QASYMM8_SIGNED, DataType::S32); |
| if(!is_qasymm) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, input_info, weights_info); |
| } |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(0) != weights_info->dimension(idx_w) * weights_info->dimension(idx_h) * weights_info->dimension(idx_b)); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(1) != input_info->dimension(idx_w)); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(2) != input_info->dimension(idx_h)); |
| ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(3) != input_info->dimension(idx_b)); |
| |
| if(bias != nullptr) |
| { |
| if(is_qasymm) |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(bias, 1, DataType::S32); |
| } |
| else |
| { |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(bias, input); |
| } |
| ARM_COMPUTE_RETURN_ERROR_ON(bias->dimension(0) != weights_info->dimension(idx_b)); |
| } |
| |
| if(output->total_size() != 0) |
| { |
| const PadStrideInfo stride_info(deconv_info.stride().first, deconv_info.stride().second); |
| auto out_dims = deconvolution_output_dimensions(input_info->dimension(idx_w), input_info->dimension(idx_h), weights_info->dimension(idx_w), weights_info->dimension(idx_h), stride_info); |
| |
| const TensorShape output_shape = misc::shape_calculator::compute_deconvolution_output_shape(out_dims, *input_info, *weights_info); |
| |
| ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(output->tensor_shape(), output_shape); |
| } |
| return Status{}; |
| } |
| |
| std::pair<Status, Window> validate_and_configure_window(const ITensorInfo *input, ITensorInfo *output, const ITensorInfo *input_info, const ITensorInfo *weights_info, const PadStrideInfo &deconv_info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output); |
| |
| 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 PadStrideInfo stride_info(deconv_info.stride().first, deconv_info.stride().second); |
| |
| auto out_dims = deconvolution_output_dimensions(input_info->dimension(idx_w), input_info->dimension(idx_h), weights_info->dimension(idx_w), weights_info->dimension(idx_h), stride_info); |
| |
| const TensorShape output_shape = misc::shape_calculator::compute_deconvolution_output_shape(out_dims, *input_info, *weights_info); |
| |
| auto_init_if_empty(*output, input->clone()->set_tensor_shape(output_shape).set_data_layout(data_layout).set_quantization_info(input->quantization_info())); |
| |
| Window win = calculate_max_window(*input); |
| |
| return std::make_pair(Status{}, win); |
| } |
| } // namespace |
| |
| CLDeconvolutionReshapeOutputKernel::CLDeconvolutionReshapeOutputKernel() |
| : _add_bias(false), |
| _bias(nullptr) |
| { |
| } |
| |
| void CLDeconvolutionReshapeOutputKernel::configure(const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const ITensorInfo *input_info, const ITensorInfo *weights_info, |
| const PadStrideInfo &deconv_info) |
| { |
| configure(CLKernelLibrary::get().get_compile_context(), input, bias, output, input_info, weights_info, deconv_info); |
| } |
| |
| void CLDeconvolutionReshapeOutputKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *bias, ICLTensor *output, const ITensorInfo *input_info, |
| const ITensorInfo *weights_info, |
| const PadStrideInfo &deconv_info) |
| { |
| ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, input_info, weights_info); |
| ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), (bias != nullptr ? bias->info() : nullptr), output->info(), input_info, weights_info, deconv_info)); |
| |
| auto padding_info = get_padding_info({ input, bias, output }); |
| // Configure kernel window |
| auto win_config = validate_and_configure_window(input->info(), output->info(), input_info, weights_info, deconv_info); |
| ARM_COMPUTE_ERROR_THROW_ON(win_config.first); |
| |
| 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 size_t idx_b = get_data_layout_dimension_index(data_layout, DataLayoutDimension::BATCHES); |
| |
| _input = input; |
| _output = output; |
| _add_bias = (bias != nullptr); |
| _bias = bias; |
| |
| const int filter_w = weights_info->dimension(idx_w); |
| const int filter_h = weights_info->dimension(idx_h); |
| const int filter_b = weights_info->dimension(idx_b); |
| const int img_w = input_info->dimension(idx_w); |
| const int img_h = input_info->dimension(idx_h); |
| |
| CLBuildOptions build_opts; |
| build_opts.add_option("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())); |
| build_opts.add_option("-DFILTER_WIDTH=" + support::cpp11::to_string(filter_w)); |
| build_opts.add_option("-DFILTER_HEIGHT=" + support::cpp11::to_string(filter_h)); |
| build_opts.add_option("-DSRC_WIDTH=" + support::cpp11::to_string(img_w)); |
| build_opts.add_option("-DSRC_HEIGHT=" + support::cpp11::to_string(img_h)); |
| build_opts.add_option_if(data_layout == DataLayout::NCHW, "-DNUM_FILTERS=" + support::cpp11::to_string(filter_b)); |
| build_opts.add_option_if(_add_bias, "-DADD_BIAS"); |
| |
| _kernel = create_kernel(compile_context, "deconvolution_reshape", build_opts.options()); |
| ICLKernel::configure_internal(win_config.second); |
| |
| // Set config_id for enabling LWS tuning |
| _config_id = "deconvolution_reshape_output_"; |
| _config_id += lower_string(string_from_data_type(input->info()->data_type())); |
| _config_id += "_"; |
| _config_id += lower_string(string_from_data_layout(input->info()->data_layout())); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input->info()->dimension(0)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(input->info()->dimension(1)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(output->info()->dimension(0)); |
| _config_id += "_"; |
| _config_id += support::cpp11::to_string(output->info()->dimension(1)); |
| ARM_COMPUTE_ERROR_ON(has_padding_changed(padding_info)); |
| } |
| |
| Status CLDeconvolutionReshapeOutputKernel::validate(const ITensorInfo *input, const ITensorInfo *bias, const ITensorInfo *output, const ITensorInfo *input_info, const ITensorInfo *weights_info, |
| const PadStrideInfo &deconv_info) |
| { |
| ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, bias, output, input_info, weights_info, deconv_info)); |
| return Status{}; |
| } |
| |
| void CLDeconvolutionReshapeOutputKernel::run(const Window &window, cl::CommandQueue &queue) |
| { |
| ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this); |
| ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(ICLKernel::window(), window); |
| Window collapsed = window.collapse_if_possible(ICLKernel::window(), Window::DimZ); |
| |
| unsigned int idx = 0; |
| add_3D_tensor_argument(idx, _input, collapsed); |
| add_3D_tensor_argument(idx, _output, collapsed); |
| if(_add_bias) |
| { |
| add_1D_tensor_argument(idx, _bias, collapsed); |
| } |
| enqueue(queue, *this, collapsed, lws_hint()); |
| } |
| } // namespace arm_compute |