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GeneratePass for Python Pass #35708
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GeneratePass for Python Pass #35708
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| Original file line number | Diff line number | Diff line change |
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| // Copyright (c) 2021 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. | ||
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| #include "paddle/fluid/framework/ir/generate_pass.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
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| void InitGeneratePattern(PDPattern* pattern, const proto::PassDesc& pass_desc) { | ||
| const proto::BlockDesc& block = pass_desc.pattern().blocks(0); | ||
|
Member
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. If we don't support cross block pass, we should mention it in python/c++ interface or API comment.
Contributor
Author
There was a problem hiding this comment. Choose a reason for hiding this commentThe reason will be displayed to describe this comment to others. Learn more. Usually, a subgraph is only in one block. We can support corss block in future if necessary. |
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| // Traverse all operators to create subgraph. | ||
| for (int index = 0; index < block.ops_size(); ++index) { | ||
| const proto::OpDesc& op = block.ops(index); | ||
| // Create a PDNode for current operator. Use the index as name to avoid | ||
| // multiple operators with same type. Get a PDNode from pattern subgraph | ||
| // through index in rewrite phase. | ||
| PDNode* op_pdnode = | ||
| pattern->NewNode(std::to_string(index))->assert_is_op(op.type()); | ||
| // Create PDNodes for inputs of current operator. | ||
| for (const proto::OpDesc::Var& var : op.inputs()) { | ||
| for (const std::string& argument : var.arguments()) { | ||
| // The input may be the output of other operator. | ||
| PDNode* var_pdnode = pattern->RetrieveNode(argument); | ||
| if (nullptr == var_pdnode) { | ||
| var_pdnode = pattern->NewNode(argument)->AsInput(); | ||
| } else if (var_pdnode->IsOutput()) { | ||
| var_pdnode->AsIntermediate(); | ||
| } | ||
| var_pdnode->assert_is_op_input(op.type()); | ||
| pattern->AddEdge(var_pdnode, op_pdnode); | ||
| } | ||
| } | ||
| // Create PDNodes for outputs of current operator. | ||
| for (const proto::OpDesc::Var& var : op.outputs()) { | ||
| for (const std::string& argument : var.arguments()) { | ||
| // The output may be the input of other operator. | ||
| PDNode* var_pdnode = pattern->RetrieveNode(argument); | ||
| if (nullptr == var_pdnode) { | ||
| var_pdnode = pattern->NewNode(argument)->AsOutput(); | ||
| } else if (var_pdnode->IsInput()) { | ||
| var_pdnode->AsIntermediate(); | ||
| } | ||
| var_pdnode->assert_is_op_output(op.type()); | ||
| pattern->AddEdge(op_pdnode, var_pdnode); | ||
| } | ||
| } | ||
| // Set attribute condition for current operator. | ||
| for (const proto::OpDesc::Attr& attr : op.attrs()) { | ||
| op_pdnode->assert_more([&](Node* x) { | ||
| if (x && x->IsOp()) { | ||
| OpDesc* op_desc = x->Op(); | ||
| if (op_desc->HasAttr(attr.name())) { | ||
| return GetAttrValue(attr) == op_desc->GetAttr(attr.name()); | ||
| } | ||
| return false; | ||
| } | ||
| return false; | ||
| }); | ||
| } | ||
| } | ||
| } | ||
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| GraphPatternDetector::handle_t GetGenerateRewrite( | ||
| const PDPattern& pattern, const proto::PassDesc& pass_desc) { | ||
| GraphPatternDetector::handle_t handler = [&]( | ||
| const GraphPatternDetector::subgraph_t subgraph, Graph* graph) { | ||
| // There are some duplicate patterns. | ||
| for (auto iter : subgraph) { | ||
| if (nullptr == graph->RetrieveNode(iter.second->id())) { | ||
| VLOG(3) << "Node [" << iter.second->Name() | ||
| << "] of subgraph has been removed. So skip this optimize."; | ||
| return; | ||
| } | ||
| } | ||
| const proto::BlockDesc& block = pass_desc.replace().blocks(0); | ||
| // `var_node_maps` record the mapping of variable to the pattern subgraph. | ||
| std::map<std::string, Node*> var_node_maps; | ||
| for (const proto::PassDesc::VarMap& var_map : pass_desc.var_maps()) { | ||
| Node* node = subgraph.at(pattern.RetrieveNode(var_map.pattern_var())); | ||
| var_node_maps.insert({var_map.replace_var(), node}); | ||
| } | ||
| // Traverse all operators to create subgraph. | ||
| for (const proto::OpDesc& op : block.ops()) { | ||
| OpDesc op_desc; | ||
| std::vector<Node *> in_nodes, out_nodes; | ||
| op_desc.SetType(op.type()); | ||
| // Create Nodes for inputs of current operator. | ||
| for (const proto::OpDesc::Var& var : op.inputs()) { | ||
| std::vector<std::string> arguments; | ||
| for (const std::string& argument : var.arguments()) { | ||
| // The input may be mapped on the operator of pattern subgraph. | ||
| Node* node = nullptr; | ||
| auto iter = var_node_maps.find(argument); | ||
| if (var_node_maps.end() == iter) { | ||
| VarDesc var_desc(patterns::UniqueKey(argument)); | ||
| node = graph->CreateVarNode(&var_desc); | ||
| var_node_maps.insert({argument, node}); | ||
| } else { | ||
| node = iter->second; | ||
| } | ||
| in_nodes.push_back(node); | ||
| arguments.push_back(node->Name()); | ||
| } | ||
| op_desc.SetInput(var.parameter(), arguments); | ||
| } | ||
| // Create Nodes for outputs of current operator. | ||
| for (const proto::OpDesc::Var& var : op.outputs()) { | ||
| std::vector<std::string> arguments; | ||
| for (const std::string& argument : var.arguments()) { | ||
| // The output may be mapped on the operator of pattern subgraph. | ||
| Node* node = nullptr; | ||
| auto iter = var_node_maps.find(argument); | ||
| if (var_node_maps.end() == iter) { | ||
| VarDesc var_desc(patterns::UniqueKey(argument)); | ||
| node = graph->CreateVarNode(&var_desc); | ||
| var_node_maps.insert({argument, node}); | ||
| } else { | ||
| node = iter->second; | ||
| } | ||
| out_nodes.push_back(node); | ||
| arguments.push_back(node->Name()); | ||
| } | ||
| op_desc.SetOutput(var.parameter(), arguments); | ||
| } | ||
| // Set attribute for current operator. | ||
| for (const proto::OpDesc::Attr& attr : op.attrs()) { | ||
| op_desc.SetAttr(attr.name(), GetAttrValue(attr)); | ||
| } | ||
| // Create a Node for current operator. | ||
| Node* op_node = graph->CreateOpNode(&op_desc); | ||
| for (Node* node : in_nodes) { | ||
| IR_NODE_LINK_TO(node, op_node); | ||
| } | ||
| for (Node* node : out_nodes) { | ||
| IR_NODE_LINK_TO(op_node, node); | ||
| } | ||
| } | ||
| // Remove nodes that are intermediate. | ||
| std::unordered_set<const Node*> remove_nodes; | ||
| for (const std::unique_ptr<PDNode>& pdnode : pattern.nodes()) { | ||
| remove_nodes.emplace(subgraph.at(pdnode.get())); | ||
| } | ||
| for (auto iter : var_node_maps) { | ||
| remove_nodes.erase(iter.second); | ||
| } | ||
| GraphSafeRemoveNodes(graph, remove_nodes); | ||
| }; | ||
| return handler; | ||
| } | ||
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| GeneratePass::GeneratePass(const std::string& binary_str) { | ||
| multi_pass_desc_.ParseFromString(binary_str); | ||
| VerifyDesc(); | ||
| } | ||
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| GeneratePass::GeneratePass(const proto::MultiPassDesc& multi_pass_desc) | ||
| : multi_pass_desc_(multi_pass_desc) { | ||
| VerifyDesc(); | ||
| } | ||
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| void GeneratePass::ApplyImpl(Graph* graph) const { | ||
| for (const proto::PassDesc& pass_desc : multi_pass_desc_.pass_descs()) { | ||
| GraphPatternDetector detector; | ||
| InitGeneratePattern(detector.mutable_pattern(), pass_desc); | ||
| detector(graph, GetGenerateRewrite(detector.pattern(), pass_desc)); | ||
| // The rewrited graph needs to be verified. Current Pass should be skipped | ||
| // if validation failed. Rewrite based on the original graph cannot | ||
| // implement rollback operation. | ||
| VerifyGraph(*graph); | ||
| } | ||
| } | ||
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| void GeneratePass::VerifyDesc() const { | ||
| PADDLE_ENFORCE_NE(multi_pass_desc_.pass_descs_size(), 0, | ||
| platform::errors::InvalidArgument( | ||
| "Size of PassDesc should not be empty.")); | ||
| for (const proto::PassDesc& pass_desc : multi_pass_desc_.pass_descs()) { | ||
| // Check inputs/outputs of subgraph should in `var_maps`. | ||
| std::set<std::string> pattern_var_sets, replace_var_sets; | ||
| for (const proto::PassDesc::VarMap& var_map : pass_desc.var_maps()) { | ||
| pattern_var_sets.emplace(var_map.pattern_var()); | ||
| replace_var_sets.emplace(var_map.replace_var()); | ||
| } | ||
| auto check_vars = [=](std::set<std::string>* var_sets, | ||
| const proto::BlockDesc& block) { | ||
| for (const proto::OpDesc& op : block.ops()) { | ||
| for (const proto::OpDesc::Var& var : op.outputs()) { | ||
| for (const std::string& argument : var.arguments()) { | ||
| var_sets->emplace(argument); | ||
| } | ||
| } | ||
| } | ||
| for (const proto::OpDesc& op : block.ops()) { | ||
| for (const proto::OpDesc::Var& var : op.inputs()) { | ||
| for (const std::string& argument : var.arguments()) { | ||
| PADDLE_ENFORCE_NE( | ||
| var_sets->find(argument), var_sets->end(), | ||
| platform::errors::InvalidArgument( | ||
| "Subgraph of PassDesc has argument [%s] not in `var_maps`.", | ||
| argument)); | ||
| } | ||
| } | ||
| } | ||
| }; | ||
| check_vars(&pattern_var_sets, pass_desc.pattern().blocks(0)); | ||
| check_vars(&replace_var_sets, pass_desc.replace().blocks(0)); | ||
| } | ||
| } | ||
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| bool GeneratePass::VerifyGraph(const Graph& graph) { | ||
| // Return true temporarily. | ||
| return true; | ||
| } | ||
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| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle | ||
| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,49 @@ | ||
| // Copyright (c) 2021 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. | ||
|
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| #pragma once | ||
| #include "paddle/fluid/framework/ir/graph_pattern_detector.h" | ||
| #include "paddle/fluid/framework/ir/pass.h" | ||
| #include "paddle/fluid/framework/pass_desc.pb.h" | ||
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| namespace paddle { | ||
| namespace framework { | ||
| namespace ir { | ||
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| // Generate a substitute pass from protobuf. | ||
| class GeneratePass : public Pass { | ||
| public: | ||
| // from binary_str | ||
| explicit GeneratePass(const std::string& binary_str); | ||
| // from PassDesc/MultiPassDesc | ||
| explicit GeneratePass(const proto::MultiPassDesc& multi_pass_desc); | ||
| virtual ~GeneratePass() {} | ||
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| protected: | ||
| void ApplyImpl(Graph* graph) const override; | ||
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| private: | ||
| GeneratePass() = delete; | ||
| DISABLE_COPY_AND_ASSIGN(GeneratePass); | ||
| // Verify desc | ||
| void VerifyDesc() const; | ||
| // Verify graph | ||
| static bool VerifyGraph(const Graph& graph); | ||
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| proto::MultiPassDesc multi_pass_desc_; | ||
| }; | ||
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| } // namespace ir | ||
| } // namespace framework | ||
| } // namespace paddle |
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Usually we put input or const parameter
pass_descin front of output or changable parameterpattern.There was a problem hiding this comment.
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Done.