xidulu opened a new issue #18544:
URL: https://github.com/apache/incubator-mxnet/issues/18544
```scala
from mxnet import np, npx
from mxnet.gluon import HybridBlock
class block1(HybridBlock):
def hybrid_forward(self, F, x):
return x + 1
class block2(HybridBlock):
def forward(self, x):
return x + 1
net1 = block1()
net1.hybridize()
net2 = block2()
net2.hybridize()
print(type(net1(np.ones((2,2)))))
print(type(net2(np.ones((2,2)))))
```
Out:
```python
<class 'mxnet.numpy.ndarray'>
<class 'mxnet.ndarray.ndarray.NDArray'>
```
Not sure what the output type from forward() is supposed to be, but it
should be consistent with that from hybrid_foward()
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