seekFire edited a comment on issue #19499:
URL:
https://github.com/apache/incubator-mxnet/issues/19499#issuecomment-725878826
@leezu
I think I may find out the error reason: when I use the class
**mx.metric.CustomMetric** to wrap my custom metric function, the type of
tensor in this function will convert from **mxnet.ndarray.ndarray.NDArray** to
**numpy.ndarray**, so it will generate this error. The validation process is as
follows, same script as above except using **numpy** to replace
**mxnet.ndarray**:
```
>>> import numpy as np
>>> x = np.ones((2, 3, 4, 5))
>>> y = x.transpose((0, 3, 1, 2)).reshape(0, -3, -1)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ValueError: can only specify one unknown dimension
```
The error is same as the mentioned above. I think the class
**mx.metric.CustomMetric** is different from that of older version, because I
used to use this class to warp the same custom metric function and it runs OK.
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