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"""Modified from https://github.com/kijai/ComfyUI-MochiWrapper
"""
import torch
import torch.nn as nn
def autocast_model_forward(cls, origin_dtype, *inputs, **kwargs):
weight_dtype = cls.weight.dtype
cls.to(origin_dtype)
# Convert all inputs to the original dtype
inputs = [input.to(origin_dtype) for input in inputs]
out = cls.original_forward(*inputs, **kwargs)
cls.to(weight_dtype)
return out
def convert_weight_dtype_wrapper(module, origin_dtype):
for name, module in module.named_modules():
if name == "":
continue
original_forward = module.forward
if hasattr(module, "weight"):
setattr(module, "original_forward", original_forward)
setattr(
module,
"forward",
lambda *inputs, m=module, **kwargs: autocast_model_forward(m, origin_dtype, *inputs, **kwargs)
)
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