Hi ptrblck, if here 100 is assumed to be the time_step, what fc_layer(rand_vector) is doing is same as TimeDistributed(Dense(256)) in tensorflow, right?
I am actually referring to this problem: https://stackoverflow.com/questions/61372645/how-to-implement-time-distributed-dense-tdd-layer-in-pytorch 5, It seems to me that what nn.linear() does is actually the fashion of time-distributed dense, why are people still looking for time-distributed dense function? I would appreciate your correction. Thanks alot.