there is a problem that is still solved.
input_size is dynamic, therefore, the ‘weight’ will be dynamic. Because the size of ‘weight’ is the length of input_size * feature_numbers. Is this feasible in pytorch?
self.weight = nn.Parameter() The size of weight is solid.How it can be dynamic.