So far, we have been importing pycuda.autoinit at the beginning of all of our PyCUDA programs; this effectively creates a context at the beginning of our program and has it destroyed at the end.
Let's try doing this manually. We will make a small program that just copies a small array to the GPU, copies it back to the host, prints the array, and exits.
We start with the imports:
import numpy as npfrom pycuda import gpuarrayimport pycuda.driver as drv
First, we initialize CUDA with the pycuda.driver.init function, which is here aliased as drv:
drv.init()
Now we choose which GPU we wish to work with; this is necessary for the cases where one has more than one GPU. We can select a specific GPU with pycuda.driver.Device ...
