pytorch
runtime_error
ai_generated
true
IndexError: index out of range in Embedding
ID: pytorch/embedding-index-error
85%Fix Rate
88%Confidence
3Evidence
2023-01-01First Seen
Version Compatibility
| Version | Status | Introduced | Deprecated | Notes |
|---|---|---|---|---|
| 2 | active | — | — | — |
Root Cause
Token ID exceeds embedding vocabulary size.
genericWorkarounds
-
92% success Set num_embeddings to match tokenizer vocab size: len(tokenizer)
-
88% success Use padding_idx for out-of-vocabulary handling
Dead Ends
Common approaches that don't work:
-
Increase embedding size blindly
72% fail
Wastes memory for sparse IDs
-
Clip all IDs to max
78% fail
Wrong embeddings for OOV tokens