matrix sizes

sizes

#RNN data sizes:

# x.size() = [64x1000]
        
        f[0] = self.get_f(dag[-1][0].name) # activation func
        c[0] = F.sigmoid(self.w_xc(x) + F.linear(h_prev, self.w_hc, None))
        h[0] = (c[0]*f[0](self.w_xh(x) + F.linear(h_prev, self.w_hh, None)) +
                (1 - c[0])*h_prev)
        #h_prev.size()    = [64x1000]
        #self.w_hc.size() = [1000,1000]
        #self.w_xh(x).size= [64x1000]
        #self.w_xc(x).size= [64x1000]
        #self.w_hh.size() = [1000,1000]
        #c[0].size()      = [64x1000]
        #h[0].size()      = [64x1000]