diff options
Diffstat (limited to 'src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.cpp')
| -rw-r--r-- | src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.cpp | 195 |
1 files changed, 195 insertions, 0 deletions
diff --git a/src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.cpp b/src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.cpp new file mode 100644 index 0000000000..71218f5b52 --- /dev/null +++ b/src/core/CL/kernels/CLDeconvolutionReshapeOutputKernel.cpp @@ -0,0 +1,195 @@ +/* + * Copyright (c) 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/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" + +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 unsigned int stride_x = deconv_info.stride().first; + const unsigned int stride_y = deconv_info.stride().second; + + 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::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) + { + 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), + 0, 0, stride_x, stride_y); + + 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 unsigned int stride_x = deconv_info.stride().first; + const unsigned int stride_y = deconv_info.stride().second; + 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); + + 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), + 0, 0, stride_x, stride_y); + + 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) +{ + 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)); + + // 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 = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel("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)); +} + +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 |