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Interoperability with numpy #6

@cmey

Description

@cmey

Would it be possible to support interoperability with numpy?

import numpy as np
import arrayfire as af

A = np.zeros((2,3), dtype=np.complex64)
Ad = af.array(A) # <-- load data from a numpy array
af.display(Ad)
print(Ad.elements(), Ad.type(), Ad.dims(), Ad.numdims())

Currently:

Using opencl backend
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-3-c8c7947108da> in <module>()
      3 
      4 A = np.zeros((2,3), dtype=np.complex64)
----> 5 Ad = af.array(A) # <-- load data from a numpy array
      6 af.display(Ad)
      7 print(Ad.elements(), Ad.type(), Ad.dims(), Ad.numdims())

/Users/cmey/Code/GitHub/arrayfire-python/arrayfire/array.pyc in __init__(self, src, dims)
    133                 type_char = tmp.typecode
    134             else:
--> 135                 raise TypeError("src is an object of unsupported class")
    136 
    137             elements = 1

TypeError: src is an object of unsupported class

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