[GitHub] reminisce commented on issue #8799: Dangling outputs and dtype != float32: Gradient computation fails

[GitBox]

reminisce commented on issue #8799: Dangling outputs and dtype != float32: 
Gradient computation fails
URL: 
https://github.com/apache/incubator-mxnet/issues/8799#issuecomment-379404238
 
 
   Minimum reproducible script:
   ```python
   import mxnet as mx
   from mxnet import autograd
   
   
   data = mx.nd.arange(16, dtype='float64').reshape((4, 4))
   data.attach_grad()
   
   with autograd.record():
       y = mx.nd.split(data, axis=0, num_outputs=2)
   y[0].backward()
   print(data.grad)
   ```

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