/**************************************************************************** * * Copyright (c) 2021 Vivante Corporation * * 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 "tim/vx/ops/groupedconv2d.h" #include "direct_map_op_impl.h" #include "type_utils.h" #include "vsi_nn_pub.h" namespace tim { namespace vx { namespace ops { GroupedConv2d::GroupedConv2d(Graph* graph, PadType padding, const std::array& strides, const std::array& dilation, int32_t group_number, DataLayout input_layout, DataLayout kernel_layout) : DirectMapOp(graph, VSI_NN_OP_GROUPED_CONV2D, 3, 1, input_layout), padding_(padding), strides_(strides), dilation_(dilation), pad_({0,0,0,0}), group_number_(group_number), kernel_layout_(kernel_layout) { this->impl()->node()->nn_param.conv2d.stride[0] = strides_[0]; this->impl()->node()->nn_param.conv2d.stride[1] = strides_[1]; this->impl()->node()->nn_param.conv2d.pad_type = TranslatePadType(padding_); this->impl()->node()->nn_param.conv2d.group = group_number_; this->impl()->node()->nn_param.conv2d.dilation[0] = dilation_[0]; this->impl()->node()->nn_param.conv2d.dilation[1] = dilation_[1]; } GroupedConv2d::GroupedConv2d(Graph* graph, const std::array& pad, const std::array& strides, const std::array& dilation, int32_t group_number, DataLayout input_layout, DataLayout kernel_layout) : DirectMapOp(graph, VSI_NN_OP_GROUPED_CONV2D, 3, 1, input_layout), padding_(PadType::AUTO), strides_(strides), dilation_(dilation), pad_(pad), group_number_(group_number), kernel_layout_(kernel_layout) { this->impl()->node()->nn_param.grouped_conv2d.stride[0] = strides_[0]; this->impl()->node()->nn_param.grouped_conv2d.stride[1] = strides_[1]; this->impl()->node()->nn_param.grouped_conv2d.group = group_number_; this->impl()->node()->nn_param.grouped_conv2d.dilation[0] = dilation_[0]; this->impl()->node()->nn_param.grouped_conv2d.dilation[1] = dilation_[1]; this->impl()->node()->nn_param.grouped_conv2d.pad[0] = pad_[0]; this->impl()->node()->nn_param.grouped_conv2d.pad[1] = pad_[1]; this->impl()->node()->nn_param.grouped_conv2d.pad[2] = pad_[2]; this->impl()->node()->nn_param.grouped_conv2d.pad[3] = pad_[3]; } std::shared_ptr GroupedConv2d::Clone( std::shared_ptr& graph) const { return graph->CreateOperation( this->pad_, this->strides_, this->dilation_, this->group_number_, this->impl_->layout_, this->kernel_layout_); } } // namespace ops } // namespace vx } // namespace tim