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Automatically assign available hardware on the fly, in-line with PyTorch code.

Project description

autodevice

Automatically assign devices in-line with pytorch code

Usage

from autodevice import AutoDevice

x = torch.randn([200, 50]).to(AutoDevice())

CUDA/GPU:

tensor([[ 2.6905, -0.3037, -0.3607],
        [ 0.2258, -0.1755,  0.6599],
        [ 1.3046, -0.9389,  0.7358]], device='cuda:0')

CPU:

tensor([[ 2.6905, -0.3037, -0.3607],
        [ 0.2258, -0.1755,  0.6599],
        [ 1.3046, -0.9389,  0.7358]])

On Apple Silicon (M1, M2):

tensor([[ 0.5382,  1.1173,  1.1175],
        [-0.0125, -0.2406,  0.2343],
        [-0.6067, -0.7728,  0.1697]], device='mps:0')

Installation

pip install autodevice

Project details


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