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At least for some models including Codegen, I'm observing very inconsistent outputs using ORTModelForCausalLM when the same inputs have different amounts of left padding (but correct corresponding attention mask). In other words an equivalent problem to the one with vanilla transformers reported in huggingface/transformers#21080 and with fixes in huggingface/transformers#21853 and huggingface/transformers#22069.
This comment alludes to something w.r.t. handling of position_ids which I was wondering might be related.
The text was updated successfully, but these errors were encountered:
At least for some models including Codegen, I'm observing very inconsistent outputs using
ORTModelForCausalLM
when the same inputs have different amounts of left padding (but correct corresponding attention mask). In other words an equivalent problem to the one with vanilla transformers reported in huggingface/transformers#21080 and with fixes in huggingface/transformers#21853 and huggingface/transformers#22069.This comment alludes to something w.r.t. handling of
position_ids
which I was wondering might be related.The text was updated successfully, but these errors were encountered: