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单卡训练报错 #36
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You can change _, pred_IPR_list = self.net_g.module.diffusion(self.lq,S1_IPR[0]) to _, pred_IPR_list = self.net_g.diffusion(self.lq,S1_IPR[0]) |
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Traceback (most recent call last):
File "DiffIR/train.py", line 15, in
train_pipeline(root_path)
File "/DiffIR/DiffIR-RealSR/DiffIR/train_pipeline.py", line 185, in train_pipeline
model.optimize_parameters(current_iter)
File "/DiffIR/DiffIR-RealSR/DiffIR/models/DiffIR_S2_model.py", line 408, in optimize_parameters
_, pred_IPR_list = self.net_g.module.diffusion(self.lq,S1_IPR[0])
File "/opt/conda/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1207, in getattr
raise AttributeError("'{}' object has no attribute '{}'".format(
AttributeError: 'DiffIRS2' object has no attribute 'module'
多卡训练时会有module这个属性,是必须使用多卡训练吗?
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