sxjscience opened a new issue #18117:
URL: https://github.com/apache/incubator-mxnet/issues/18117
Reproducible example:
```python
import mxnet as mx
from mxnet.gluon import HybridBlock, nn
import os
mx.npx.set_np()
class Foo(HybridBlock):
def __init__(self, prefix=None, params=None):
super().__init__(prefix=prefix, params=params)
with self.name_scope():
self.l1 = nn.Dense(2048, prefix='layer_')
def hybrid_forward(self, F, x):
return self.l1(x)
foo = Foo()
foo.initialize()
foo(mx.np.ones((32, 2048)))
foo.collect_params().save('test.params')
```
Error:
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
<ipython-input-7-d2952519ca80> in <module>
17 foo.initialize()
18 foo(mx.np.ones((32, 2048)))
---> 19 foo.collect_params().save('test.params')
20
~/mxnet/python/mxnet/gluon/parameter.py in save(self, filename, strip_prefix)
984 strip_prefix, param.name, strip_prefix))
985 arg_dict[param.name[len(strip_prefix):]] = weight
--> 986 ndarray.save(filename, arg_dict)
987
988 def load(self, filename, ctx=None, allow_missing=False,
~/mxnet/python/mxnet/ndarray/utils.py in save(fname, data)
260 raise TypeError('save only accept dict str->NDArray or
list of NDArray')
261 if any(isinstance(v, np_ndarray) for v in nd_vals):
--> 262 raise TypeError('cannot save mxnet.numpy.ndarray using
mxnet.ndarray.save;'
263 ' use mxnet.numpy.save instead.')
264 keys = c_str_array(str_keys)
TypeError: cannot save mxnet.numpy.ndarray using mxnet.ndarray.save; use
mxnet.numpy.save instead.
```
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