How can I replace an intermediate layer in a pre-trained network?

8

PS: I noticed after posting the above that this line:

            layer_new = layer_type_new(module.in_channels, module.out_channels, module.kernel_size, module.stride,
                                             module.padding, module.dilation, module.groups,
                                             module.bias is not None, module.padding_mode) c

will only work if the layer to replace is nn.Conv2d and the new layer has similar parameters to pass to its constructor. If someone has a more generic way to handle this that will be great to share.

2 Likes