sxjscience opened a new issue #18074: [Numpy] Unique has not registered the gradient URL: https://github.com/apache/incubator-mxnet/issues/18074 ```python import mxnet as mx from mxnet.gluon import nn, HybridBlock mx.npx.set_np() class Foo(HybridBlock): def hybrid_forward(self, F, x): y = F.np.unique(x) return y foo = Foo() foo.hybridize() out = foo(mx.np.ones((10,))) print(out.asnumpy()) ``` Error message: ``` MXNetError: Traceback (most recent call last): File "../src/nnvm/gradient.cc", line 213 MXNetError: Operator _npi_unique is non-differentiable because it didn't register FGradient attribute. ```
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