[GitHub] reminisce commented on issue #9007: float16 argmax breaks on negative inputs

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

reminisce commented on issue #9007: float16 argmax breaks on negative inputs
URL: https://github.com/apache/incubator-mxnet/issues/9007#issuecomment-350527843
 
 
   Looks like a bug of the `argmax` operator itself, not about `simple_bind`, because the following test on `maximum` op could generate correct result. Will dig deeper.
   ```python
   data1 = mx.sym.Variable('data1')
   data2 = mx.sym.Variable('data2')
   sym = mx.sym.maximum(data1, data2)
   exe = sym.simple_bind(ctx=mx.cpu(), data1=(1,), type_dict={'data1': np.float16, 'data2': np.float16})
   exe.forward(is_train=True, data1=np.array([-3], dtype=np.float16), data2=np.array([-4], dtype=np.float16))
   print(exe.arg_dict['data1'].dtype)
   print(exe.arg_dict['data2'].dtype)
   print(exe.outputs[0])
   ```

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