Copy Data From Numpy To Ctypes Quickly

I have a ctypes object shared between a c++ and python process. The python process takes the input values from that object, runs them through Tensorflow, and I'm left with a numpy

Solution 1:

This shows how to copy a whole data block from numpy array to ctypes array:

import numpy as np
import ctypes


# Preparing example

class TransferData(ctypes.Structure):
    _fields_ = [
        ('statusReady', ctypes.c_bool),
        ('velocity', ctypes.c_double * 4),
        ('pressure', ctypes.c_double * 4)
    ]


data = TransferData()
output = np.array([12., 13., 11., 10.])


# Actual code

# Both values should be equal but there could be problems with alignment settings
assert ctypes.sizeof(data.pressure) == output.nbytes

ctypes.memmove(ctypes.byref(data.pressure), output.ctypes.data, output.nbytes)


print(list(data.pressure))