Thank you for your reply !
I create model like this.
# conv layer 1
self.conv1 = nn.Conv2d(1, 64, (1, 200), (1, 1), (0, 0))
self.batchnorm1 = nn.BatchNorm2d(64)

and use as follows,
# x --> input shape (128, 200, 20, 1). It seems 200*20 pixel and 1ch image with minibatch 128.
h = x.view(-1, 1, 200, 20)
h = F.tanh(self.batchnorm1(self.conv1(h)))

And I try this one.
# conv layer 1
self.conv1 = nn.Conv2d(1, 128, (1, 200), (1, 1), (0, 0))
self.batchnorm1 = nn.BatchNorm2d(128)

It looks like good, and doesnt occur any erros. I dont know why former one doesnt work…