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Represent query_length in a different way to solve jit issue (#25164)

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Fix jit trace
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jiqing-feng 2023-07-28 20:19:10 +08:00 committed by GitHub
parent 2a78720104
commit d23d2c27c2
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1 changed files with 1 additions and 3 deletions
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src/transformers/models/mpt/modeling_mpt.py
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@ -154,9 +154,7 @@ class MptAttention(nn.Module):
attention_scores = torch.matmul(query_states, key_states.transpose(-1, -2)) * self.softmax_scale
query_length = seq_length
if past_key_value is not None:
query_length += past_key_value[0].shape[2]
query_length = seq_length if past_key_value is None else seq_length + past_key_value[0].shape[2]
if position_bias is not None:
if len(position_bias.shape) != 3: