[GitHub] ChaiBapchya commented on issue #14183: Multinominal distribution returns same results during different runs

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

ChaiBapchya commented on issue #14183: Multinominal distribution returns same results during different runs
URL: https://github.com/apache/incubator-mxnet/issues/14183#issuecomment-464572662
 
 
   I tried it 6 times and looks like it ain't that bad
   But certainly need to delve deeper I guess
   
   ```
   >>> from mxnet import nd
   /Users/chaitanyabapat/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
     from ._conv import register_converters as _register_converters
   >>> 
   >>> data = nd.array([0.5, 0.5])
   >>> 
   >>> for k in range(3):
   ...     a = nd.random.multinomial(data, shape=(5, 1))
   ...     print(a)
   ... 
   
   [[1]
    [1]
    [1]
    [1]
    [1]]
   <NDArray 5x1 @cpu(0)>
   
   [[1]
    [1]
    [1]
    [0]
    [1]]
   <NDArray 5x1 @cpu(0)>
   
   [[1]
    [0]
    [0]
    [0]
    [1]]
   <NDArray 5x1 @cpu(0)>
   >>> for k in range(3):
   ...     a = nd.random.multinomial(data, shape=(5, 1))
   ...     print(a)
   ... 
   
   [[0]
    [1]
    [0]
    [0]
    [0]]
   <NDArray 5x1 @cpu(0)>
   
   [[1]
    [1]
    [1]
    [0]
    [1]]
   <NDArray 5x1 @cpu(0)>
   
   [[0]
    [1]
    [1]
    [0]
    [0]]
   <NDArray 5x1 @cpu(0)>
   ```

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