sxjscience commented on issue #18078: A possible bug when computing a gradient vector URL: https://github.com/apache/incubator-mxnet/issues/18078#issuecomment-614406630 @zleyk22 Yes, it's a bug and also exists in numpy. ```python import mxnet as mx mx.npx.set_np() a = mx.np.array([1,0]) a.attach_grad() with mx.autograd.record(): b = mx.np.prod(a) b.backward() print(a.grad) ``` Output: ``` [ 0. nan] ```
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