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File "/home/DREDS/SwinDRNet/trainer.py", line 735, in train
self.loss_train_iter.backward()
File "/home/.conda/envs/DREDS/lib/python3.8/site-packages/torch/tensor.py", line 221, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "/home/.conda/envs/DREDS/lib/python3.8/site-packages/torch/autograd/init.py", line 130, in backward
Variable._execution_engine.run_backward(
RuntimeError: Function 'DivBackward0' returned nan values in its 0th output.
The text was updated successfully, but these errors were encountered:
作者您好,我使用Blender软件修改了您的blend文件,改动了合成物品和相机视角, 然后我把相机到原点的距离从0.5-0.95 设置为0.5-1.5 这样会导致下面的错误吗,训练的时候返回 损失函数nan值
File "/home/DREDS/SwinDRNet/trainer.py", line 735, in train
self.loss_train_iter.backward()
File "/home/.conda/envs/DREDS/lib/python3.8/site-packages/torch/tensor.py", line 221, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "/home/.conda/envs/DREDS/lib/python3.8/site-packages/torch/autograd/init.py", line 130, in backward
Variable._execution_engine.run_backward(
RuntimeError: Function 'DivBackward0' returned nan values in its 0th output.
The text was updated successfully, but these errors were encountered: