| USER_ERROR = [ | |
| "Dynamo has detected that tracing the code will result in an error when running in eager. " | |
| "Please double check that your code doesn't contain a similar error when actually running eager/uncompiled.", | |
| ] | |
| DYNAMO_BUG = [ | |
| "This is likely to be a Dynamo bug. Please report an issue to PyTorch.", | |
| ] | |
| DIFFICULT = [ | |
| "This graph break may be difficult to debug. Please report an issue to PyTorch for assistance.", | |
| ] | |
| FUNDAMENTAL = [ | |
| "This graph break is fundamental - it is unlikely that Dynamo will ever be able to trace through " | |
| "your code. Consider finding a workaround.", | |
| ] | |
| SUPPORTABLE = [ | |
| "It may be possible to write Dynamo tracing rules for this code. Please report an issue to PyTorch if you " | |
| "encounter this graph break often and it is causing performance issues.", | |
| ] | |
| CAUSED_BY_EARLIER_GRAPH_BREAK = [ | |
| "This graph break may have been caused by an earlier graph break. Resolving the earlier graph break may resolve this one.", | |
| ] | |
| INFERENCE_MODE = [ | |
| "Avoid using `tensor.is_inference()` and `torch.is_inference_mode_enabled()` in your compile code. " | |
| "This is primarily used in conjunction with `torch.inference_mode`. Consider using `torch.no_grad` instead " | |
| "because `torch.no_grad` leads to same improvements as `inference_mode` when `torch.compile` is used.", | |
| ] | |