[GitHub] [incubator-mxnet] kexinyu commented on issue #17164: net.Cast("float16") doesn't work: Check failed: (*in_type)[i] == dtype_param (2 vs. 0) : This layer requires uniform type. Expected 'float32' v.s. given 'float16' at 'gamma'

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

kexinyu commented on issue #17164: net.Cast("float16") doesn't work: Check failed: (*in_type)[i] == dtype_param (2 vs. 0) : This layer requires uniform type. Expected 'float32' v.s. given 'float16' at 'gamma'
URL: https://github.com/apache/incubator-mxnet/issues/17164#issuecomment-569334475
 
 
   I'm having a similar issue, but I guess this explains why the cast loses efficacy for BatchNorm layer?
   https://github.com/apache/incubator-mxnet/blob/master/python/mxnet/gluon/nn/basic_layers.py#L359-L362
   ```
   class BatchNorm(HybridBlock):
       ....
       def cast(self, dtype):
           if np.dtype(dtype).name == 'float16':
               dtype = 'float32'
           super(BatchNorm, self).cast(dtype)
   ```
   so 'gamma' is still in float32, while the input is in float16, which causes the check failure.

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