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Merge pull request #89 from Stability-AI/dango.patch.atten_overflow
* Force cast to fp32 to avoid atten layer overflow
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commit
8bde0cf64f
1 changed files with 12 additions and 2 deletions
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@ -16,6 +16,9 @@ try:
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except:
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XFORMERS_IS_AVAILBLE = False
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# CrossAttn precision handling
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import os
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_ATTN_PRECISION = os.environ.get("ATTN_PRECISION", "fp32")
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def exists(val):
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return val is not None
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@ -167,7 +170,14 @@ class CrossAttention(nn.Module):
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q, k, v = map(lambda t: rearrange(t, 'b n (h d) -> (b h) n d', h=h), (q, k, v))
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# force cast to fp32 to avoid overflowing
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if _ATTN_PRECISION =="fp32":
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with torch.autocast(enabled=False, device_type = 'cuda'):
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q, k = q.float(), k.float()
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sim = einsum('b i d, b j d -> b i j', q, k) * self.scale
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else:
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sim = einsum('b i d, b j d -> b i j', q, k) * self.scale
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del q, k
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if exists(mask):
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