wangbo/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2026-03-08 10:47:32 +08:00
Code Issues Actions 12 Packages Projects Releases Wiki Activity

ops: Handle CPU weight in VBAR caster (#12792)

Browse Source 
This shouldn't happen but custom nodes gets there. Handle it as best
we can.
This commit is contained in:
rattus 2026-03-05 10:22:17 -08:00 committed by GitHub
parent 6481569ad4
commit 42e0e023ee
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 15 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

15
comfy/ops.py
View File

@ -80,6 +80,21 @@ def cast_to_input(weight, input, non_blocking=False, copy=True):
def cast_bias_weight_with_vbar(s, dtype, device, bias_dtype, non_blocking, compute_dtype, want_requant):
#vbar doesn't support CPU weights, but some custom nodes have weird paths
#that might switch the layer to the CPU and expect it to work. We have to take
#a clone conservatively as we are mmapped and some SFT files are packed misaligned
#If you are a custom node author reading this, please move your layer to the GPU
#or declare your ModelPatcher as CPU in the first place.
if device is not None and device.type == "cpu":
weight = s.weight.to(dtype=dtype, copy=True)
if isinstance(weight, QuantizedTensor):
weight = weight.dequantize()
bias = None
if s.bias is not None:
bias = s.bias.to(dtype=bias_dtype, copy=True)
return weight, bias, (None, None, None)
offload_stream = None
xfer_dest = None