I would like to iterate over the values of a convolutional layer. I have done the following:

```
for thisMod in net.modules():
if hasattr(thisMod, 'weight'):
weightData = thisMod.weight.data.numpy()
biasData = thisMod.bias.data.numpy()
if isinstance( thisMod, torch.nn.modules.conv.Conv2d ):
print( weightData.shape )
```

Rather than weightData being the array of size [30,3,3,3] array (where 30 is the number of out channels), weightData is of size [3,3,3]. I suspect that this is one channel.

How do I iterate over the channels of a convolutional layer?