how could I transform between NumSharp.NDArray with Tensorflow.Numpy.NDArray?

[cross-hello]

Both library complement the functionality of Numpy library. There are some lack for methods between. So I want to know the converting method.
Give me a hand~

[Oceania2018]

What are the missing methods?

[Nucs]

@cross-hello, there's no direct type converter between the two libraries, but both wrap raw buffers, so you can bridge in two ways (0.70.0, #628):

1. Via the byte buffer - tobytes out, np.frombuffer in:

var a = np.array(new[] { 1.0, 2, 3 });
byte[] raw = a.tobytes();

var back = np.frombuffer(raw, "float64");   // [1. 2. 3.]
// hand `raw` to Tensorflow.NumPy the same way, or read its buffer back through frombuffer

2. Via NumSharp.Interop.pythonnet - cross through a real numpy array (arr.ToNumpy() / pyObj.AsNDArray()), which any numpy-based stack accepts.

Closing.