Epoch Training: Help

[ludwigwittgenstein2]

Not sure, what is wrong?
Any suggestions

/usr/local/lib/python3.7/dist-packages/torch/nn/reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='sum' instead.
warnings.warn(warning.format(ret))
/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:20: UserWarning: nn.init.xavier_uniform is now deprecated in favor of nn.init.xavier_uniform.

TypeError Traceback (most recent call last)
in ()
9 model.train()
10 run_epoch(data_gen(V, 30, 20), model,
---> 11 SimpleLossCompute(model.generator, criterion, model_opt))
12
13 model.eval()

10 frames
in forward(self, x)
7
8 def forward(self,x):
----> 9 mean = x.mean(-1, keepdmin=True)
10 std=x.std(-1, keepdim=True)
11 return self.a_2 * (x-mean)/(std+self.eps)+self.b_2

TypeError: mean() received an invalid combination of arguments - got (int, keepdmin=bool), but expected one of:

• (*, torch.dtype dtype)
  didn't match because some of the keywords were incorrect: keepdmin
• (tuple of ints dim, bool keepdim, *, torch.dtype dtype)
• (tuple of names dim, bool keepdim, *, torch.dtype dtype)

[pengzhangzhi]

----> 9 mean = x.mean(-1, keepdmin=True)
keepdmin is a typo, the correct argument is keepdim