BlockLSTM

يحسب الانتشار الأمامي لخلية LSTM لجميع الخطوات الزمنية.

وهذا يعادل تطبيق LSTMBlockCell في حلقة، مثل:

for x1 in unpack(x):
   i1, cs1, f1, o1, ci1, co1, h1 = LSTMBlock(
     x1, cs_prev, h_prev, w, wci, wcf, wco, b)
   cs_prev = cs1
   h_prev = h1
   i.append(i1)
   cs.append(cs1)
   f.append(f1)
   o.append(o1)
   ci.append(ci1)
   co.append(co1)
   h.append(h1)
 return pack(i), pack(cs), pack(f), pack(o), pack(ci), pack(ch), pack(h)
 
 Note that unlike LSTMBlockCell (and BlockLSTM) which uses ICFO gate layout,
 this op uses IFCO. So in order for the following snippet to be equivalent
 all gate-related outputs should be reordered.