Keras multi-gpu: specifying explicit GPU ids

Question

From looking at the file keras/utils/multi_gpu_utils.py in tensorflow GitHub repository, I could see that given that you specified that you want to use x GPUs, it will automatically allocate the GPU IDs from range(x), i.e., 0, 1, 2, ..., x - 1.

I need to use GPUs 4, 5, 6 ,7, since the first 4 GPUs are already working on another task. Is there a way to specify it?

score 1 · Accepted Answer · answered Jun 03 '19 at 16:30

1

In python you can use

import os
os.environ["CUDA_VISIBLE_DEVICES"]="0,1"

Or set CUDA_VISIBLE_DEVICES=0,1 in bash before starting python script

You can also refer to my answer here to automate this process.

answered Jun 03 '19 at 16:30

y.selivonchyk

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Thanks. sounds simple and amazing. I'll update you once I try – SomethingSomething Jun 03 '19 at 16:33
It really worked. Thank you for the simple and very helpful answer. Note that I used `export CUDA_VISIBLE_DEVICES=4,5,6,7`, according to my GPU availability – SomethingSomething Jun 05 '19 at 10:32

Keras multi-gpu: specifying explicit GPU ids

1 Answers1