Hello, I am wondering wich of these two ways is the best for changing a module’s submodule:
Here I want to change model’s “conv” module to a new convolution (different in and out sizes)
with torch.no_grad():
    new_conv = nn.Conv2d(...)
    W = nn.Parameter(new_conv.weight, requires_grad=True)
    model.conv1.weight = W

with torch.no_grad():
    new_conv = nn.Conv2d(...)
    model.conv1 = new_conv

Are both ways equivalent or there’s a better one? (in the case that none of the convolutions have a bias)