Error seems the loss is too big? I don’t get why will out of memory.
I have changed the code to make the generator inside the model, and just use one backward(), does this combination result in this problem?
THCudaCheck FAIL file=/b/wheel/pytorch-src/torch/lib/THC/generic/THCStorage.cu line=66 error=2 : out of memory
Traceback (most recent call last):
File “main.py 3”, line 241, in 
main()
File “main.py 3”, line 238, in main
train.train(model, optim, criterion, trainData, validData, testData, opt)
File “/home/zeng/code/tb-seq2seq/train.py”, line 263, in train
loss.backward()
File “/home/zeng/envs/pytorch_0.1.12_py27/local/lib/python2.7/site-packages/torch/autograd/variable.py”, line 146, in backward
self.execution_engine.run_backward((self,), (gradient,), retain_variables)
File "/home/zeng/envs/pytorch_0.1.12_py27/local/lib/python2.7/site-packages/torch/nn/functions/thnn/auto.py", line 46, in backward
grad_input = grad_output.new().resize_as(input).zero()
RuntimeError: cuda runtime error (2) : out of memory at /b/wheel/pytorch-src/torch/lib/THC/generic/THCStorage.cu:66