acphile opened a new issue #18137:
URL: https://github.com/apache/incubator-mxnet/issues/18137
### operator between different types
for example
```
import mxnet as mx
mx.npx.set_np()
mx.np.arange(5)
array([0., 1., 2., 3., 4.])
b=mx.np.arange(5)
a=b.astype('int32')
a==b
```
it will raise Error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/ubuntu/incubator-mxnet/python/mxnet/numpy/multiarray.py", line
991, in __eq__
return equal(self, other)
File "/home/ubuntu/incubator-mxnet/python/mxnet/numpy/multiarray.py", line
8451, in equal
return _mx_nd_np.equal(x1, x2, out)
File "/home/ubuntu/incubator-mxnet/python/mxnet/ndarray/numpy/_op.py",
line 6622, in equal
return _api_internal.equal(x1, x2, out)
File "/home/ubuntu/incubator-mxnet/python/mxnet/_ffi/_ctypes/function.py",
line 115, in __call__
raise get_last_ffi_error()
mxnet.base.MXNetError: MXNetError: Type inconsistent, Provided = float32,
inferred type = int32
```
But numpy supports equal operation between different types
### fail to use mxnet.numpy.prod(a.shape)
```
>>> mx.np.prod(a.shape)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "<string>", line 31, in prod
AssertionError: Argument a must have NDArray type, but got (5,)
```
while numpy supports that.
### mxnet.numpy.ndarray.diagonal() is not supported
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