[GitHub] [incubator-mxnet] sxjscience opened a new issue #18398: [Numpy] Numpy Interface does not support float16

[GitBox <gi...@apache.org>]

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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[GitHub] [incubator-mxnet] ZheyuYe commented on issue #18398: [Numpy] Numpy Interface does not support float16

[GitBox <gi...@apache.org>]

ZheyuYe commented on issue #18398:
URL: https://github.com/apache/incubator-mxnet/issues/18398#issuecomment-633381287


   And the same error was thrown facing `float64`


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