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* Force cast to fp32 to avoid atten layer overflow

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Dango233 2022-12-07 19:56:39 +08:00
parent d7440ac160
commit 6e92cda76d
1 changed files with 6 additions and 2 deletions
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8
ldm/modules/attention.py
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@ -167,9 +167,13 @@ class CrossAttention(nn.Module):
q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> (b h) n d', h=h), (q, k, v))
sim = einsum('b i d, b j d -> b i j', q, k) * self.scale
# force cast to fp32 to avoid overflowing
with torch.autocast(enabled=False, device_type = 'cuda'):
q, k = q.float(), k.float()
sim = einsum('b i d, b j d -> b i j', q, k) * self.scale
del q, k
if exists(mask):
mask = rearrange(mask, 'b ... -> b (...)')
max_neg_value = -torch.finfo(sim.dtype).max