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Some Shape Related Fusions (microsoft#19832)
This PR adds below shape related fusions, which is helpful for some transformer models: - ShapeInputMerge is to merge all Shape nodes' input NodeArg to a single one (the 1st one on topo order) if they have the same shape value. This helps CSE fusion to merge more nodes. - CSE fusion to support scalar tensor as attribute value. This is mainly to support ConstantOfShape node.
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,78 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Licensed under the MIT License. | ||
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| #include "core/optimizer/shape_input_merge.h" | ||
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| #include "core/graph/graph_utils.h" | ||
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| namespace onnxruntime { | ||
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| namespace { | ||
| std::string GetShapeString(const NodeArg* input_arg) { | ||
| auto shape = input_arg->Shape(); | ||
| if (!shape) return ""; | ||
| std::stringstream ss; | ||
| ss << "["; | ||
| for (int i = 0; i < shape->dim_size(); ++i) { | ||
| if (i != 0) ss << ","; | ||
| auto dim = shape->dim(i); | ||
| if (dim.has_dim_value()) { | ||
| ss << std::to_string(dim.dim_value()); | ||
| } else if (dim.has_dim_param()) { | ||
| ss << "'" << dim.dim_param() << "'"; | ||
| } else { | ||
| return ""; | ||
| } | ||
| } | ||
| ss << "]"; | ||
| return ss.str(); | ||
| } | ||
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| } // namespace | ||
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| Status ShapeInputMerge::ApplyImpl(Graph& graph, bool& modified, int graph_level, const logging::Logger& logger) const { | ||
| GraphViewer graph_viewer(graph); | ||
| const auto& node_topology_list = graph_viewer.GetNodesInTopologicalOrder(); | ||
| InlinedHashMap<std::string, InlinedVector<Node*>> input_hash_to_nodes; | ||
| for (auto node_index : node_topology_list) { | ||
| auto* p_node = graph.GetNode(node_index); | ||
| if (!p_node) continue; // we removed the node as part of an earlier fusion | ||
| ORT_RETURN_IF_ERROR(Recurse(*p_node, modified, graph_level, logger)); | ||
| if (!graph_utils::IsSupportedOptypeVersionAndDomain(*p_node, "Shape", {1, 13, 15, 19, 21}) || | ||
| !graph_utils::IsSupportedProvider(*p_node, GetCompatibleExecutionProviders())) { | ||
| continue; | ||
| } | ||
| std::string shape_str = GetShapeString(p_node->InputDefs()[0]); | ||
| if (shape_str.empty()) continue; | ||
| if (input_hash_to_nodes.find(shape_str) == input_hash_to_nodes.end()) { | ||
| input_hash_to_nodes[shape_str] = InlinedVector<Node*>(); | ||
| } | ||
| input_hash_to_nodes[shape_str].emplace_back(p_node); | ||
| } | ||
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| // All Shape nodes are processed in topological order, so we can safely merge the inputs to the first node's input. | ||
| for (auto& kv : input_hash_to_nodes) { | ||
| if (kv.second.size() < 2) continue; | ||
| NodeArg* first_input_arg = kv.second[0]->MutableInputDefs()[0]; | ||
| bool is_first_input_arg_graph_input = graph.IsInputsIncludingInitializers(first_input_arg); | ||
| for (size_t i = 1; i < kv.second.size(); ++i) { | ||
| Node* p_node = kv.second[i]; | ||
| const NodeArg* input_arg = p_node->InputDefs()[0]; | ||
| if (p_node->InputDefs()[0]->Name() == first_input_arg->Name()) continue; | ||
| if (!graph.IsInputsIncludingInitializers(input_arg)) { | ||
| const Node::EdgeEnd& input_edge = *p_node->InputEdgesBegin(); | ||
| graph.RemoveEdge(input_edge.GetNode().Index(), p_node->Index(), input_edge.GetSrcArgIndex(), 0); | ||
| } | ||
| graph_utils::ReplaceNodeInput(*p_node, 0, *first_input_arg); | ||
| if (!is_first_input_arg_graph_input) { | ||
| const Node::EdgeEnd& first_input_edge = *kv.second[0]->InputEdgesBegin(); | ||
| graph.AddEdge(first_input_edge.GetNode().Index(), p_node->Index(), first_input_edge.GetSrcArgIndex(), 0); | ||
| } | ||
| modified = true; | ||
| } | ||
| } | ||
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| return Status::OK(); | ||
| } | ||
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| } // namespace onnxruntime |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,23 @@ | ||
| // Copyright (c) Microsoft Corporation. All rights reserved. | ||
| // Licensed under the MIT License. | ||
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| #pragma once | ||
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| #include "core/optimizer/graph_transformer.h" | ||
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| namespace onnxruntime { | ||
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| /** | ||
| @Class ShapeInputMerge | ||
| Merge all shape inputs having same shape value to a single shape input. | ||
| This change will not affect the performance, but it open chances for CSE fusion to merge nodes. | ||
| */ | ||
| class ShapeInputMerge : public GraphTransformer { | ||
| public: | ||
| ShapeInputMerge(const InlinedHashSet<std::string_view>& compatible_execution_providers = {}) noexcept | ||
| : GraphTransformer("ShapeInputMerge", compatible_execution_providers) {} | ||
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| Status ApplyImpl(Graph& graph, bool& modified, int graph_level, const logging::Logger& logger) const override; | ||
| }; | ||
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| } // namespace onnxruntime |
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