" allow_unreachable=True, accumulate_grad=True) # Calls into the C++ engine to run the backward pass RuntimeError: Function 'PowBackward0' returned nan values in its 0th output" #85
|▏| 9918/50000 [1:55:02<4:27:26, 20%|▏| 9919/50000 [1:55:02<4:29:41, 20%|▏| 9920/50000 [1:55:03<4:28:16, 20%|▏| 9921/50000 [1:55:03<4:43:27, 20%|▏| 9922/50000 [1:55:04<4:37:07, 20%|▏| 9923/50000 [1:55:04<4:38:23, 20%|▏| 9924/50000 [1:55:04<4:34:04, 20%|▏| 9925/50000 [1:55:05<4:32:37, 20%|▏| 9926/50000 [1:55:05<4:31:07, 20%|▏| 9927/50000 [1:55:06<4:30:17, 20%|▏| 9928/50000 [1:55:09<13:11:34 20%|▏| 9929/50000 [1:55:09<10:34:44, 1.05i/opt/conda/lib/python3.7/site-packages/torch/autograd/__init__.py:175: UserWarning: Error detected in PowBackward0. Traceback of forward call that caused the error:
File "run_nerf_own_train.py", line 1138, in <module>
train()
File "run_nerf_own_train.py", line 1006, in train
img_loss0 = img2mse(extras['rgb0'], target_s)
File "/rockywin.wang/NeRF/DSNeRF/run_nerf_helpers.py", line 15, in <lambda>
img2mse = lambda x, y : torch.mean((x.to(device) - y.to(device)) ** 2)
File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 32, in wrapped
return f(*args, **kwargs)
(Triggered internally at ../torch/csrc/autograd/python_anomaly_mode.cpp:102.)
allow_unreachable=True, accumulate_grad=True) # Calls into the C++ engine to run the backward pass
20%|▏| 9929/50000 [1:55:09<7:44:45, 1.44it
Traceback (most recent call last):
File "run_nerf_own_train.py", line 1138, in <module>
train()
File "run_nerf_own_train.py", line 1010, in train
loss.backward()
File "/opt/conda/lib/python3.7/site-packages/torch/_tensor.py", line 396, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph, inputs=inputs)
File "/opt/conda/lib/python3.7/site-packages/torch/autograd/__init__.py", line 175, in backward
allow_unreachable=True, accumulate_grad=True) # Calls into the C++ engine to run the backward pass
RuntimeError: Function 'PowBackward0' returned nan values in its 0th output.
Hi, I met the error after training for a while!
My config is that below.