Avoid all-zeor attnetion mask used in testing #26469
Merged
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What does this PR do?
The method
random_attention_mask
used in testing makes sure the last token is non-zero. However, this property will be changed if a causal mask is applied.This causes some issues in CI, see issue reported
pytorch/pytorch#110213
In general, a sequence with all zero as attention mask is bad. Let's avoid testing with such case.
(However, we probably need to do some processing in the modeling code - if torch decide this is undefined behavior and won't make change to have previous behavior).