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Fix pytorch warnings. (#11314)
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comfyanonymous 2025-12-13 15:45:23 -08:00 committed by GitHub
parent da2bfb5b0a
commit 971cefe7d4
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2 changed files with 2 additions and 2 deletions
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2
comfy/ops.py
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@ -592,7 +592,7 @@ def mixed_precision_ops(quant_config={}, compute_dtype=torch.bfloat16, full_prec
quant_conf = {"format": self.quant_format} quant_conf = {"format": self.quant_format}
if self._full_precision_mm: if self._full_precision_mm:
quant_conf["full_precision_matrix_mult"] = True quant_conf["full_precision_matrix_mult"] = True
sd["{}comfy_quant".format(prefix)] = torch.frombuffer(json.dumps(quant_conf).encode('utf-8'), dtype=torch.uint8) sd["{}comfy_quant".format(prefix)] = torch.tensor(list(json.dumps(quant_conf).encode('utf-8')), dtype=torch.uint8)
return sd return sd
def _forward(self, input, weight, bias): def _forward(self, input, weight, bias):

2
comfy/utils.py
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@ -1262,6 +1262,6 @@ def convert_old_quants(state_dict, model_prefix="", metadata={}):
if quant_metadata is not None: if quant_metadata is not None:
layers = quant_metadata["layers"] layers = quant_metadata["layers"]
for k, v in layers.items(): for k, v in layers.items():
state_dict["{}.comfy_quant".format(k)] = torch.frombuffer(json.dumps(v).encode('utf-8'), dtype=torch.uint8) state_dict["{}.comfy_quant".format(k)] = torch.tensor(list(json.dumps(v).encode('utf-8')), dtype=torch.uint8)
return state_dict, metadata return state_dict, metadata