[GitHub] [incubator-mxnet] Marcovaldong opened a new issue #15091: AttributeError: module 'mxnet.ndarray._internal' has no attribute '_rnn_param_concat'

[GitBox <gi...@apache.org>]

Marcovaldong opened a new issue #15091: AttributeError: module 'mxnet.ndarray._internal' has no attribute '_rnn_param_concat'
URL: https://github.com/apache/incubator-mxnet/issues/15091
 
 
   My code was ok when using MxNet v1.1.0. When I upgrade it to v1.4.0, I got the current error when using lstm: 
   
   ```
   Traceback (most recent call last):
     File "train3.py", line 271, in <module>
       train()
     File "train3.py", line 217, in train
       loss = model(xs, ys, xlen, ylen)
     File "/disk2/dongsq/incubator-mxnet/python/mxnet/gluon/block.py", line 540, in __call__
       out = self.forward(*args)
     File "/disk2/dongsq/my/RNNT-Transducer/model.py", line 526, in forward
       f = self.encoder(xs)
     File "/disk2/dongsq/incubator-mxnet/python/mxnet/gluon/block.py", line 540, in __call__
       out = self.forward(*args)
     File "/disk2/dongsq/my/RNNT-Transducer/model.py", line 107, in forward
       h = self.rnn(xs)
     File "/disk2/dongsq/incubator-mxnet/python/mxnet/gluon/block.py", line 540, in __call__
       out = self.forward(*args)
     File "/disk2/dongsq/incubator-mxnet/python/mxnet/gluon/block.py", line 917, in forward
       return self.hybrid_forward(ndarray, x, *args, **params)
     File "/disk2/dongsq/incubator-mxnet/python/mxnet/gluon/rnn/rnn_layer.py", line 234, in hybrid_forward
       out = self._forward_kernel(F, inputs, states, **kwargs)
     File "/disk2/dongsq/incubator-mxnet/python/mxnet/gluon/rnn/rnn_layer.py", line 257, in _forward_kernel
       params = F._internal._rnn_param_concat(*params, dim=0)
   AttributeError: module 'mxnet.ndarray._internal' has no attribute '_rnn_param_concat'
   ```
   
   How can I fix it? Or should I upgrade it to newest version? 

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