chinakook opened a new issue #15231: mxnet.nd.random.multinomial is very slow on CPU and stucked on GPU URL: https://github.com/apache/incubator-mxnet/issues/15231 ```python import time import numpy as np import mxnet as mx p = [1 / 300000.] * 300000 probs = np.array(p) t0 = time.time() sample_times = np.random.multinomial(len(probs), np.array(probs)) t1 = time.time() print("Numpy MultiNomial Time", t1 - t0) probs = mx.nd.array(p, ctx=mx.cpu()) t0 = time.time() indices = mx.nd.random.multinomial(probs, len(probs)) mx.nd.waitall() t1 = time.time() print("MXNet CPU MultiNomial Time", t1 - t0) # stucked # probs = mx.nd.array(p, ctx=mx.gpu(0)) # t0 = time.time() # indices = mx.nd.random.multinomial(probs, len(probs)) # mx.nd.waitall() # t1 = time.time() # print("MXNet GPU MultiNomial Time", t1 - t0) ``` The result is ``` Numpy MultiNomial Time 0.01881909 MXNet GPU MultiNomial Time 43.93881797 ```
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