// 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/graph.h" #include "lite/kernels/npu/bridges/registry.h" #include "lite/kernels/npu/bridges/utility.h" namespace paddle { namespace lite { namespace subgraph { namespace npu { std::vector CvtYShape(const Tensor& x, Tensor* y, int axis) { auto x_dims = x.dims(); CHECK_EQ(x_dims.size(), 4UL) << "[NPU] Only support 4-dimension x"; auto y_dims = y->dims(); CHECK_GE(x_dims.size(), y_dims.size()); if (axis < 0) { axis += x_dims.size(); } std::vector y_new_shape(y_dims.Vectorize()); if (y_new_shape.size() == 4UL) { return y_new_shape; } for (int i = 0; i < axis; i++) { y_new_shape.insert(y_new_shape.begin(), 1); } while (y_new_shape.size() < 4) { y_new_shape.push_back(1); } CHECK_EQ(y_new_shape.size(), 4UL); return y_new_shape; } int ElementwiseConverter(void* ctx, OpLite* op) { 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) << "[NPU] Converting " + op_type + "..."; auto x_var_name = op_info->Input("X").front(); auto y_var_name = op_info->Input("Y").front(); auto out_var_name = op_info->Output("Out").front(); auto axis = op_info->GetAttr("axis"); std::shared_ptr elementwise_node = nullptr; std::shared_ptr x_node = graph->GetNode(x_var_name); std::shared_ptr y_node = nullptr; if (graph->HasNode(y_var_name)) { y_node = graph->GetNode(y_var_name); } else { auto x = scope->FindTensor(x_var_name); auto y = scope->FindMutableTensor(y_var_name); auto y_new_shape = CvtYShape(*x, y, axis); y_node = graph->AddNode(y_var_name, y, y_new_shape); } if (op_type == "elementwise_add" || op_type == "fusion_elementwise_add_activation") { auto elt_node = graph->AddNode(out_var_name); elt_node->set_input_x1(*x_node); elt_node->set_input_x2(*y_node); elementwise_node = elt_node; } else if (op_type == "elementwise_sub") { auto elt_node = graph->AddNode(out_var_name); elt_node->set_input_x1(*x_node); elt_node->set_input_x2(*y_node); elementwise_node = elt_node; } else if (op_type == "elementwise_mul") { auto elt_node = graph->AddNode(out_var_name); elt_node->set_input_x(*x_node); elt_node->set_input_y(*y_node); elementwise_node = elt_node; } else if (op_type == "elementwise_div") { auto elt_node = graph->AddNode(out_var_name); elt_node->set_input_x1(*x_node); elt_node->set_input_x2(*y_node); elementwise_node = elt_node; } else { LOG(WARNING) << "[NPU] Unsupported op type: " << op_type; return FAILED; } if (op_type == "fusion_elementwise_add_activation") { auto act_type = op_info->GetAttr("act_type"); auto act_node = graph->AddNode(out_var_name); act_node->set_input_x(*elementwise_node); // TODO(hong19860320) set the coef value for act Ops, such as leaky_relu, // clipped_relu etc. act_node->set_attr_mode(CvtActMode(act_type)); } return REBUILD_WHEN_SHAPE_CHANGED; } } // namespace npu } // namespace subgraph } // namespace lite } // namespace paddle REGISTER_SUBGRAPH_BRIDGE(NPU, elementwise_add, paddle::lite::subgraph::npu::ElementwiseConverter); REGISTER_SUBGRAPH_BRIDGE(NPU, fusion_elementwise_add_activation, paddle::lite::subgraph::npu::ElementwiseConverter); REGISTER_SUBGRAPH_BRIDGE(NPU, elementwise_sub, paddle::lite::subgraph::npu::ElementwiseConverter); REGISTER_SUBGRAPH_BRIDGE(NPU, elementwise_mul, paddle::lite::subgraph::npu::ElementwiseConverter); REGISTER_SUBGRAPH_BRIDGE(NPU, elementwise_div, paddle::lite::subgraph::npu::ElementwiseConverter);