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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def from_dlpack(dlpack):
 """Returns a NDArray backed by a dlpack tensor. Parameters dlpack: PyCapsule (the pointer of DLManagedTensor) input data Returns ------- NDArray a NDArray backed by a dlpack tensor Examples -------- <class 'PyCapsule'> <class 'mxnet.ndarray.ndarray.NDArray'> [[ 1. 1. 1.] [ 1. 1. 1.]] <NDArray 2x3 @cpu(0)> <class 'PyCapsule'> [[2. 2. 2.] [2. 2. 2.]] <NDArray 2x3 @cpu(0)> """

    handle = NDArrayHandle()
    dlpack = ctypes.py_object(dlpack)
    assert ctypes.pythonapi.PyCapsule_IsValid(dlpack, _c_str_dltensor), ValueError(
        'Invalid DLPack Tensor. DLTensor capsules can be consumed only once.')
    dlpack_handle = ctypes.c_void_p(ctypes.pythonapi.PyCapsule_GetPointer(dlpack, _c_str_dltensor))
    check_call(_LIB.MXNDArrayFromDLPack(dlpack_handle, ctypes.byref(handle)))
    # Rename PyCapsule (DLPack)
    ctypes.pythonapi.PyCapsule_SetName(dlpack, _c_str_used_dltensor)
    # delete the deleter of the old dlpack
    ctypes.pythonapi.PyCapsule_SetDestructor(dlpack, None)
    return NDArray(handle=handle)