interoperability.py

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from mxnet import np, npx
npx.set_np()
import numpy as onp

shape = (3, 4)
a = np.random.uniform(size=shape)  # type(a) == mxnet.numpy.ndarray
b = np.random.uniform(size=shape)  # type(b) == mxnet.numpy.ndarray
c = onp.add(a, b)
# type(c) == mxnet.numpy.ndarray

c_sum = onp.sum(c, axis=0)
# type(c_sum) == mxnet.numpy.ndarray