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 input
tensor (label & pred) of this function has converted from
**mxnet.ndarray.ndarray.NDArray** to **numpy.ndarray** automatically, 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** of new version(e.g: 1.7.0) 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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