Stoch-predict-with-Tranformer-LSTM
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Transformer part code obviosly has bug,
if you look at the positionencoding + X , the diemension is different, it can't be added:
\models.py", line 137, in forward return x + self.pe[:x.size(0), :] RuntimeError: The size of tensor a (64) must match the size of tensor b (50) at non-singleton dimension 0
@hyuan-kamuda did you found the solution ?
@apoorv28goel did you find any solution?
@Zhang-gong did you find any solution?
@wingwwwc did you find any solution?