| #!/usr/bin/env python3 |
| import os |
| |
| from torch._inductor import pattern_matcher |
| from torch._inductor.fx_passes import joint_graph |
| |
| |
| if __name__ == "__main__": |
| # Start by deleting all the existing patterns. |
| for path in pattern_matcher.SERIALIZED_PATTERN_PATH.iterdir(): |
| if path.name in {"__init__.py", "__pycache__"}: |
| continue |
| if path.is_file(): |
| path.unlink() |
| |
| # Now have joint_graph load all known patterns and tell the pattern matcher |
| # to serialize the patterns as it goes. |
| os.environ["PYTORCH_GEN_PATTERNS"] = "1" |
| joint_graph.lazy_init() |