Backward issue #8
Description
Hi, I use my own dataset, and it has only two images, When the program iterated over 700 times, I occured this error! Could u know how to solve this? Thanks!
//error info//
Traceback (most recent call last):
File "train.py", line 407, in
trainer.train()
File "train.py", line 206, in train
output = self.train_step(i_iter, bar)
File "train.py", line 118, in train_step
loss.backward()
File "/home/ubuntu/miniconda3/envs/3dgs_custom/lib/python3.8/site-packages/torch/_tensor.py", line 487, in backward
torch.autograd.backward(
File "/home/ubuntu/miniconda3/envs/3dgs_custom/lib/python3.8/site-packages/torch/autograd/init.py", line 200, in backward
Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
RuntimeError: element 0 of tensors does not require grad and does not have a grad_fn