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saving the qk matrix in the attention module for convenience

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Jong Wook Kim 2022-12-29 23:02:52 -07:00
parent 0b5dcfdef7
commit 68e44bd83c
1 changed files with 3 additions and 0 deletions
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whisper/model.py
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@ -62,6 +62,7 @@ class MultiHeadAttention(nn.Module):
self.key = Linear(n_state, n_state, bias=False)
self.value = Linear(n_state, n_state)
self.out = Linear(n_state, n_state)
self.last_qk = None
def forward(
self,
@ -96,6 +97,8 @@ class MultiHeadAttention(nn.Module):
if mask is not None:
qk = qk + mask[:n_ctx, :n_ctx]
self.last_qk = qk.detach()
w = F.softmax(qk.float(), dim=-1).to(q.dtype)
return (w @ v).permute(0, 2, 1, 3).flatten(start_dim=2)