Add function for retrieving fallback operations.#7116
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JackCaoG
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May 28, 2024
| return torch_xla._XLAC._short_xla_metrics_report(counter_names, metric_names) | ||
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| def executed_fallback_ops(): |
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cc @alanwaketan we can start using this new api which is better than do a string assertIn from the metrics_report,
JackCaoG
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May 28, 2024
| # Run torchvision operations as fallback. | ||
| import torchvision | ||
| scores = torch.rand(N).to(xm.xla_device()) | ||
| # NMS doesn't have a PyTorch/XLA implementation without dynamic shapes. |
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maybe do an assert that dynamic shape is not enabled?
JackCaoG
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This PR introduces
GetFallbackOperationsfunction, which sweeps through the fallback counter map_cpu_fallback_countersand returns the name of the functions whose counter is not zero, i.e. name of the fallbacks that were run.There was a bug within the dynamo bridge that only classified as fallback operation those that came from the
atennamespace. Other fallback operations, such as those that came fromtorchvision::were being passed on to the next steps, even though they were fallback operations.This bug is one of the reasons of the issue #5967.
cc @miladm @JackCaoG