python-pytorchHow can I use Python and PyTorch to implement multiprocessing?

Python and PyTorch can be used to implement multiprocessing by using the torch.multiprocessing module.

Example code

import torch
import torch.multiprocessing as mp

def cube(x):
    return x**3

if __name__ == '__main__':
    pool = mp.Pool(processes=4)
    results = [pool.apply(cube, args=(x,)) for x in range(1,7)]
    print(results)

Output example

[1, 8, 27, 64, 125, 216]

Code explanation

• import torch: imports the PyTorch library.
• import torch.multiprocessing as mp: imports the multiprocessing module from PyTorch.
• def cube(x):: defines a function that cubes a number.
• pool = mp.Pool(processes=4): creates a pool of 4 processes.
• results = [pool.apply(cube, args=(x,)) for x in range(1,7)]: applies the cube function to each item in the range 1 to 7 using the 4 processes in the pool.
• print(results): prints the results of the cube function applied to each item in the range.

Helpful links

• PyTorch multiprocessing tutorial
• PyTorch multiprocessing documentation

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