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[pull] master from comfyanonymous:master #475

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Merged
pull merged 1 commit into from
Dec 12, 2025
Merged

[pull] master from comfyanonymous:master #475

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14 changes: 10 additions & 4 deletions comfy/ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -504,10 +504,7 @@ def __init__(

self.in_features = in_features
self.out_features = out_features
if bias:
self.bias = torch.nn.Parameter(torch.empty(out_features, **self.factory_kwargs))
else:
self.register_parameter("bias", None)
self._has_bias = bias

self.tensor_class = None
self._full_precision_mm = MixedPrecisionOps._full_precision_mm
Expand Down Expand Up @@ -536,6 +533,10 @@ def _load_from_state_dict(self, state_dict, prefix, local_metadata,
self.weight = torch.nn.Parameter(weight.to(device=device, dtype=dtype), requires_grad=False)
if dtype != MixedPrecisionOps._compute_dtype:
self.comfy_cast_weights = True
if self._has_bias:
self.bias = torch.nn.Parameter(torch.empty(self.out_features, device=device, dtype=dtype))
else:
self.register_parameter("bias", None)
else:
self.quant_format = layer_conf.get("format", None)
if not self._full_precision_mm:
Expand Down Expand Up @@ -565,6 +566,11 @@ def _load_from_state_dict(self, state_dict, prefix, local_metadata,
requires_grad=False
)

if self._has_bias:
self.bias = torch.nn.Parameter(torch.empty(self.out_features, device=device, dtype=MixedPrecisionOps._compute_dtype))
else:
self.register_parameter("bias", None)

for param_name in qconfig["parameters"]:
param_key = f"{prefix}{param_name}"
_v = state_dict.pop(param_key, None)
Expand Down
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