sxjscience opened a new issue #18398:
URL: https://github.com/apache/incubator-mxnet/issues/18398
Reproducible example:
```python
import mxnet as mx
mx.npx.set_np()
net = mx.gluon.nn.Dense(16, in_units=32)
net.collect_params()
net.cast(mx.np.float16)
net.initialize()
```
Error:
```
~/mxnet/python/mxnet/numpy/random.py in uniform(low, high, size, dtype, ctx,
out)
135 inequality condition.
136 """
--> 137 return _mx_nd_np.random.uniform(low, high, size=size, ctx=ctx,
dtype=dtype, out=out)
138
139
~/mxnet/python/mxnet/ndarray/numpy/random.py in uniform(low, high, size,
dtype, ctx, out)
135 if size == ():
136 size = None
--> 137 return _api_internal.uniform(low, high, size, ctx, dtype, out)
138
139
~/mxnet/python/mxnet/_ffi/_ctypes/function.py in __call__(self, *args)
113 self.handle, values, tcodes, ctypes.c_int(num_args),
114 ctypes.byref(ret_val), ctypes.byref(ret_tcode)) != 0:
--> 115 raise get_last_ffi_error()
116 _ = temp_args
117 _ = args
MXNetError: Traceback (most recent call last):
File "../src/imperative/./imperative_utils.h", line 262
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
```
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