[GitHub] [incubator-mxnet] chinakook commented on issue #15231: mxnet.nd.random.multinomial is very slow on CPU and stucked on GPU

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

chinakook commented on issue #15231: mxnet.nd.random.multinomial is very slow on CPU and stucked on GPU
URL: https://github.com/apache/incubator-mxnet/issues/15231#issuecomment-502499170
 
 
   You can get nearly the same result as mx.nd.random.multinomial, but very swift.
   ```python
           sample_list = []
           p = [1 / 300000.] * 300000
   
           probs = np.array(p)
           sample_times = np.random.multinomial(len(probs), np.array(probs))
           for i, t in enumerate(sample_times):
               if t > 0:
                   sample_list.extend([i]*t)
           random.shuffle(sample_list)
   ```

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