Use anomaly detection as ctx manager #3634
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Summary:
PyTorch's detect_anomaly() context is needed to catch NaN gradients
When using detect_anomaly(), PyTorch raises errors with its own message format ("returned nan values"), not the DebugEmbedding* format ("NaN/Inf detected in gradient entering")
Differential Revision: D89752392
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Summary:
PyTorch's detect_anomaly() context is needed to catch NaN gradients
When using detect_anomaly(), PyTorch raises errors with its own message format ("returned nan values"), not the DebugEmbedding* format ("NaN/Inf detected in gradient entering")
Differential Revision: D89752392