I also have another question.If I use register_parameter to register a parameter.This parameter will update automatically when the training step is run.
If I only want to have a parameter that is just dynamic and don’t need to be updated.How can i implement it.For example:
self.title_conv = nn.Sequential(
            nn.Conv1d(),
            nn.ReLU(),
# the kernel_size is changed because the input's length of conv layer is Changeable.
# Therefore, kernel_size was computed in forward function.
# Then i want pass it to maxpool layer.How can I implement it?
            nn.MaxPool1d(kernel_size=)
        )