DeepDuke opened a new issue #15624: asnumpy() took a lot of time when converting NDARRAY into numpy? URL: https://github.com/apache/incubator-mxnet/issues/15624 I found a strange thing that when I convert `NDARRAY` into `numpy` for a lot of times, `asnumpy()` will took much more time for the first time. When I ran on gpu: `import mxnet as mx from mxnet import nd import time with mx.Context(mx.gpu(0)): for i in range(10): t1 = time.time() a = nd.array([14, 15]) a = a.asnumpy() t2 = time.time() print('Time:{:.6f}'.format(t2-t1))` The result is: `Time:1.156998 Time:0.000000 Time:0.000997 Time:0.000000 Time:0.000998 Time:0.000000 Time:0.000000 Time:0.000000 Time:0.000000 Time:0.000998` when i ran on cpu , i also get similar result, but it took less time than on gpu. I'm quite confusing about this.
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