[GitHub] roywei commented on issue #8337: mx.autograd.grad works or fails depending on use of slices

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

roywei commented on issue #8337: mx.autograd.grad works or fails depending on use of slices
URL: https://github.com/apache/incubator-mxnet/issues/8337#issuecomment-379423074
 
 
   @kpot  may I know what's the purpose of slice? let's say if you want a[0:2], how you want to use it?
   `a[0:4]` is a shallow copy of `a` , using slice in autograd may not be the idea way.
   In your case for OpenCL device, could you try to use symbolic gradient directly from nnvm? refer to [gradient](https://github.com/dmlc/nnvm/blob/master/src/pass/gradient.cc) and [test](https://github.com/dmlc/nnvm/blob/master/tests/python/compiler/test_optimizer.py#L33)
   
   ```
   a = mx.nd.array([1, 2, 3, 4], ctx=ctx)
   print(id(a))
   print(id(a[0:4]))
   
   >>>4387046120
   >>>4387048864

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