Traceback (most recent call last):
File "train_newmodel.py", line 283, in
train()
File "train_newmodel.py", line 222, in train
loss.backward()
File "/home/minji/.local/lib/python3.6/site-packages/torch/tensor.py", line 185, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "/home/minji/.local/lib/python3.6/site-packages/torch/autograd/init.py", line 121, in backward
grad_tensors = _make_grads(tensors, grad_tensors)
File "/home/minji/.local/lib/python3.6/site-packages/torch/autograd/init.py", line 47, in _make_grads
raise RuntimeError("grad can be implicitly created only for scalar outputs")
RuntimeError: grad can be implicitly created only for scalar outputs
Traceback (most recent call last): File "train_newmodel.py", line 283, in
train()
File "train_newmodel.py", line 222, in train
loss.backward()
File "/home/minji/.local/lib/python3.6/site-packages/torch/tensor.py", line 185, in backward
torch.autograd.backward(self, gradient, retain_graph, create_graph)
File "/home/minji/.local/lib/python3.6/site-packages/torch/autograd/init.py", line 121, in backward
grad_tensors = _make_grads(tensors, grad_tensors)
File "/home/minji/.local/lib/python3.6/site-packages/torch/autograd/init.py", line 47, in _make_grads
raise RuntimeError("grad can be implicitly created only for scalar outputs")
RuntimeError: grad can be implicitly created only for scalar outputs