[GitHub] sxjscience commented on issue #10002: General support of OPs for second-order gradient

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

sxjscience commented on issue #10002: General support of OPs for second-order gradient
URL: https://github.com/apache/incubator-mxnet/issues/10002#issuecomment-370929547
 
 
   @lightingghost  Borrow the discussion in https://github.com/apache/incubator-mxnet/issues/9979 here
   ```python
   import mxnet.ndarray as nd
   from mxnet import autograd
   
   x = nd.array([3.0])
   x.attach_grad()
   with autograd.record():
       y = x**2
       y_grad = autograd.grad(y, x, create_graph=True, retain_graph=True)[0]
       z = y_grad ** 2
   z.backward()
   print(z.grad)
   ```
   ```log
   MXNetError: [12:44:29] src/pass/gradient.cc:187: Operator _backward_power_scalar is non-differentiable because it didn't register FGradient attribute.
   ```

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