Improve performance of prune_graph in onnx_model.py #17502
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wangyems
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Sep 11, 2023
kunal-vaishnavi
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tianleiwu
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During optimization of SDXL UNet, the prune_graph takes up to 5 minutes. The cause is to find a node in all nodes is time-consuming. This optimization will reduce the latency of prune_graph to 2 seconds. New algorithm will use a hash table (key is first node output, value is node) to speed up.
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kleiti
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Mar 22, 2024
During optimization of SDXL UNet, the prune_graph takes up to 5 minutes. The cause is to find a node in all nodes is time-consuming. This optimization will reduce the latency of prune_graph to 2 seconds. New algorithm will use a hash table (key is first node output, value is node) to speed up.
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Description
During optimization of SDXL UNet, the prune_graph takes up to 5 minutes. The cause is to find a node in all nodes is time-consuming. This optimization will reduce the latency of prune_graph to 2 seconds.
New algorithm will use a hash table (key is first node output, value is node) to speed up.