For example, I want to explicitly multiply 2 on the convolution layers’ weight.

I motify the official conv.py.py from :

```
def forward(self, input):
return self._conv_forward(input, self.weight)
```

to

```
def forward(self, input):
new_weight = self.weight * torch.ones(self.weight.size())*2
return self._conv_forward(input, new_weight)
```

I noticed that the type of `new_weight`

becomes `torch.Tensor`

rather than `torch.nn.parameter.Parameter`

.

So I wonder whether it’s OK to do this? And can the backward process works correctly?

@albanD

Thanks in advance!