sxjscience commented on issue #18373:
URL:
https://github.com/apache/incubator-mxnet/issues/18373#issuecomment-631629163
I find that issue does not only happen in numpy but also exists in ndarray:
```python
import mxnet as mx
import json
import pprint
#mx.npx.set_np()
net = mx.gluon.nn.BatchNorm(epsilon=2E-5, axis=2)
net.hybridize()
net.initialize()
a = net(mx.nd.ones((10, 3, 5, 5)))
net.export('bnorm', 0)
with open('bnorm-symbol.json') as f:
dat = json.load(f)
pprint.pprint(dat)
```
Output:
```
{'attrs': {'__profiler_scope__': 'batchnorm0:',
'axis': '1',
'eps': '1e-05',
'fix_gamma': 'False',
'momentum': '0.9',
'use_global_stats': 'False'},
'inputs': [[0, 0, 0], [1, 0, 0], [2, 0, 0], [3, 0, 1], [4, 0,
1]],
'name': 'batchnorm0_fwd',
'op': 'BatchNorm'}]}
```
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