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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