// Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. #include "lite/operators/shuffle_channel_op.h" #include "ai_ddk_lib/include/graph/buffer.h" #include "ai_ddk_lib/include/graph/graph.h" #include "ai_ddk_lib/include/graph/model.h" #include "ai_ddk_lib/include/graph/op/all_ops.h" #include "ai_ddk_lib/include/graph/operator.h" #include "ai_ddk_lib/include/graph/operator_reg.h" #include "lite/npu/bridge/registry.h" #include "lite/npu/bridge/utils.h" namespace paddle { namespace lite { namespace npu { namespace bridge { node_map_type ShuffleChannelConverter( const std::shared_ptr shuffle_channel_op, const node_map_type& inputs_map) { LOG(INFO) << "converting shuffle_channel..."; lite::Scope* scope = shuffle_channel_op->scope(); const lite::OpInfo* op_info = shuffle_channel_op->op_info(); std::shared_ptr output_node = std::make_shared(UniqueName("shuffle_channel")); auto x_var_name = op_info->Input("X").front(); output_node->set_input_x(*inputs_map.at(x_var_name)); output_node->set_attr_group(op_info->GetAttr("group")); OpList::Global().add(inputs_map.at(x_var_name)); OpList::Global().add(output_node); node_map_type outputs_map; outputs_map[op_info->Output("Out").front()] = output_node; return outputs_map; } } // namespace bridge } // namespace npu } // namespace lite } // namespace paddle REGISTER_NPU_BRIDGE(shuffle_channel, paddle::lite::npu::bridge::ShuffleChannelConverter);