// 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/kernels/npu/bridges/registry.h" #include "lite/kernels/xpu/bridges/graph.h" #include "lite/kernels/xpu/bridges/utility.h" namespace paddle { namespace lite { namespace subgraph { namespace xpu { int StackConverter(void* ctx, OpLite* op, KernelBase* kernel) { CHECK(ctx != nullptr); CHECK(op != nullptr); auto graph = static_cast(ctx); auto op_info = op->op_info(); auto op_type = op_info->Type(); auto scope = op->scope(); VLOG(3) << "[XPU] Converting " + op_type + "..."; // Get input and output vars and op attributes auto x_names = op_info->Input("X"); auto y_name = op_info->Output("Y").front(); int axis = op_info->GetAttr("axis"); // X nodes xtcl::Array x_nodes; for (auto& x_name : x_names) { auto x = scope->FindMutableTensor(x_name); auto x_dims = x->dims(); std::shared_ptr x_node = nullptr; if (graph->Has(x_name)) { x_node = graph->Get(x_name); } else { x_node = graph->Add(x_name, *x); } x_nodes.push_back(*x_node->data()); } // Stack node graph->Add(y_name, graph->builder_.CreateStack( xtcl::network::TupleNode::make(x_nodes), axis)); return SUCCESS; } } // namespace xpu } // namespace subgraph } // namespace lite } // namespace paddle REGISTER_SUBGRAPH_BRIDGE(stack, kXPU, paddle::lite::subgraph::xpu::StackConverter);