crash by an inplace operation

[Eloy Roura]

Hello there,

I am trying to fine tune the model you shared with a new dataset, but I can't get it running due to the following error:

lib/python2.7/site-packages/torch/nn/functional.py:1749: UserWarning: Default upsampling behavior when mode=bilinear is changed to align_corners=False since 0.4.0. Please specify align_corners=True if the old behavior is desired. See the documentation of nn.Upsample for details. "See the documentation of nn.Upsample for details.".format(mode)) Traceback (most recent call last): File "train.py", line 168, in <module> main() File "train.py", line 95, in main train(net, optimizer) File "train.py", line 136, in train loss.backward() File "/home/eloyroura/anaconda3/envs/BDRAR/lib/python2.7/site-packages/torch/tensor.py", line 93, in backward torch.autograd.backward(self, gradient, retain_graph, create_graph) File "/home/eloyroura/anaconda3/envs/BDRAR/lib/python2.7/site-packages/torch/autograd/__init__.py", line 89, in backward allow_unreachable=True) # allow_unreachable flag RuntimeError: one of the variables needed for gradient computation has been modified by an inplace operation

Any hint of what i am doing wrong?