[GitHub] [incubator-mxnet] roywei commented on issue #14751: Model build error: Check failed: i >= 0 && i < ndim(): index = -2 must be in range [0, -1)

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

roywei commented on issue #14751: Model build error: Check failed: i >= 0 && i < ndim(): index = -2 must be in range [0, -1)
URL: https://github.com/apache/incubator-mxnet/issues/14751#issuecomment-485595205
 
 
   Hi @atopion, thanks for the issue,  could you share the following to help us debug?
   1. what keras-mxnet version are you using?
   2. which example is failing. 
   3. your keras.json config (located at `~/.keras/keras.json`)
   
   I'm running `examples/lstm_text_generation.py` seems fine.
   ```
   keras-mxnet                        2.2.4.1       
   mxnet-cu90                         1.5.0b20190412
   ```
   ```
   python lstm_text_generation.py 
   Using MXNet backend
   Downloading data from https://s3.amazonaws.com/text-datasets/nietzsche.txt
   606208/600901 [==============================] - 0s 1us/step
   614400/600901 [==============================] - 0s 1us/step
   corpus length: 600893
   total chars: 57
   nb sequences: 200285
   Vectorization...
   Build model...
   Epoch 1/60
   /usr/local/lib/python2.7/dist-packages/mxnet/module/bucketing_module.py:408: UserWarning: Optimizer created manually outside Module but rescale_grad is not normalized to 1.0/batch_size/num_workers (1.0 vs. 0.0078125). Is this intended?
     force_init=force_init)
   131456/200285 [==================>...........] - ETA: 33s - loss: 2.2159
   ```

----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
 
For queries about this service, please contact Infrastructure at:
users@infra.apache.org


With regards,
Apache Git Services