rogerdettloff opened a new issue #18918:
URL: https://github.com/apache/incubator-mxnet/issues/18918
## Description
When using npx.set_np(), I create a net (model), save it using
`net.export()`, later re-load it using `mx.gluon.SymbolBlock.imports()`. I get
an error as show below...
### Error Message
```
Traceback (most recent call last):
File "<input>", line 2, in <module>
File
"D:\Projects\Combinati\dPCR-analysis\env-mxnet\lib\site-packages\mxnet\gluon\block.py",
line 698, in __call__
_check_all_np_ndarrays(out)
File
"D:\Projects\Combinati\dPCR-analysis\env-mxnet\lib\site-packages\mxnet\gluon\utils.py",
line 489, in _check_all_np_ndarrays
.format(str(type(out))))
TypeError: Block's output ndarrays/symbols must be of type
`mxnet.numpy.ndarray` or `mxnet.symbol.numpy._Symbol`, while got output type
<class 'mxnet.ndarray.ndarray.NDArray'>
```
## To Reproduce
This works when NOT using npx.use_np()...posting it as a reference.
```
import mxnet as mx
# create a simple net...
net1 = mx.gluon.nn.HybridSequential()
net1.add(mx.gluon.nn.Dense(64, activation='relu'))
net1.add(mx.gluon.nn.Dense(2))
net1.hybridize()
net1.collect_params().initialize(mx.init.Xavier())
x = mx.nd.random.normal(shape=(1, 64))
out1 = net1(x)
net1.export('net1', epoch=1)
net2 = mx.gluon.SymbolBlock.imports('net1-symbol.json', ['data'],
'net1-0001.params')
out2 = net2(x)
```
Now try the same thing with `npx.use_np()` , and we get the error.
```
import mxnet as mx
from mxnet import np, npx
npx.set_np()
net1 = mx.gluon.nn.HybridSequential()
net1.add(mx.gluon.nn.Dense(64, activation='relu'))
net1.add(mx.gluon.nn.Dense(2))
net1.hybridize()
net1.collect_params().initialize(mx.init.Xavier())
x = mx.np.random.normal(size=(1,64))
out1 = net1(x)
net2 = mx.gluon.SymbolBlock.imports('net1-symbol.json', ['data'],
'net1-0001.params')
out2 = net2(x)
Traceback (most recent call last):
File "<input>", line 2, in <module>
File
"D:\Projects\Combinati\dPCR-analysis\env-mxnet\lib\site-packages\mxnet\gluon\block.py",
line 698, in __call__
_check_all_np_ndarrays(out)
File
"D:\Projects\Combinati\dPCR-analysis\env-mxnet\lib\site-packages\mxnet\gluon\utils.py",
line 489, in _check_all_np_ndarrays
.format(str(type(out))))
TypeError: Block's output ndarrays/symbols must be of type
`mxnet.numpy.ndarray` or `mxnet.symbol.numpy._Symbol`, while got output type
<class 'mxnet.ndarray.ndarray.NDArray'>
```
## Environment
We recommend using our script for collecting the diagnositc information. Run
the following command and paste the outputs below:
```
----------Python Info----------
Version : 3.7.6
Compiler : MSC v.1916 64 bit (AMD64)
Build : ('tags/v3.7.6:43364a7ae0', 'Dec 19 2019 00:42:30')
Arch : ('64bit', 'WindowsPE')
------------Pip Info-----------
Version : 20.2.1
Directory :
D:\Projects\Combinati\dPCR-analysis\env-mxnet\lib\site-packages\pip
----------MXNet Info-----------
Version : 1.6.0
Directory :
D:\Projects\Combinati\dPCR-analysis\env-mxnet\lib\site-packages\mxnet
Num GPUs : 0
Hashtag not found. Not installed from pre-built package.
----------System Info----------
Platform : Windows-10-10.0.18362-SP0
system : Windows
node : roger-5577
release : 10
version : 10.0.18362
----------Hardware Info----------
machine : AMD64
processor : Intel64 Family 6 Model 158 Stepping 9, GenuineIntel
Name
Intel(R) Core(TM) i7-7700HQ CPU @ 2.80GHz
```
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