sxjscience commented on issue #19118:
URL:
https://github.com/apache/incubator-mxnet/issues/19118#issuecomment-691213582
Forgot to add the `cast` in the example. The error I met is as follows:
```python
import mxnet as mx
mx.npx.set_np()
net = mx.gluon.nn.Dense(16, in_units=16)
net.cast("float16")
net.initialize(ctx=mx.gpu())
net.hybridize()
net(mx.np.random.normal(0, 1, (16, 16), dtype=mx.np.float16, ctx=mx.gpu()))
```
Error:
```
MXNetError: Traceback (most recent call last):
File "../src/imperative/./imperative_utils.h", line 306
MXNetError: Check failed: outputs[i]->dtype() == out_types[i] (2 vs. 0) :
0-th output has invalid dtype. Expecting 0 got 2 in operator _npi_uniform
```
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
