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Fallback to pytorch attention if sage attention fails.

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comfyanonymous 2025-03-22 15:45:56 -04:00
parent 75c1c757d9
commit e471c726e5
1 changed files with 13 additions and 3 deletions
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16
comfy/ldm/modules/attention.py
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@ -471,7 +471,7 @@ def attention_pytorch(q, k, v, heads, mask=None, attn_precision=None, skip_resha
def attention_sage(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=False, skip_output_reshape=False):
if skip_reshape:
b, _, _, dim_head = q.shape
tensor_layout="HND"
tensor_layout = "HND"
else:
b, _, dim_head = q.shape
dim_head //= heads
@ -479,7 +479,7 @@ def attention_sage(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=
lambda t: t.view(b, -1, heads, dim_head),
(q, k, v),
)
tensor_layout="NHD"
tensor_layout = "NHD"
if mask is not None:
# add a batch dimension if there isn't already one
@ -489,7 +489,17 @@ def attention_sage(q, k, v, heads, mask=None, attn_precision=None, skip_reshape=
if mask.ndim == 3:
mask = mask.unsqueeze(1)
out = sageattn(q, k, v, attn_mask=mask, is_causal=False, tensor_layout=tensor_layout)
try:
out = sageattn(q, k, v, attn_mask=mask, is_causal=False, tensor_layout=tensor_layout)
except Exception as e:
logging.error("Error running sage attention: {}, using pytorch attention instead.".format(e))
if tensor_layout == "NHD":
q, k, v = map(
lambda t: t.transpose(1, 2),
(q, k, v),
)
return attention_pytorch(q, k, v, heads, mask=mask, skip_reshape=True, skip_output_reshape=skip_output_reshape)
if tensor_layout == "HND":
if not skip_output_reshape:
out = (