Merge branch 'main' of github.com:ageron/handson-ml3
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@ -138,7 +138,7 @@ $ docker run --name handson-ml3 --gpus all -p 8888:8888 -p 6006:6006 --log-opt m
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If you are using an older version of Docker, then replace `--gpus all` with `--runtime=nvidia`.
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Now point your browser to the displayed URL: Jupyter should appear, and you can open a notebook and run `import tensorflow as tf` and `tf.config.list_physical_devices("GPU)` as above to confirm that TensorFlow does indeed see your GPU device(s).
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Now point your browser to the displayed URL: Jupyter should appear, and you can open a notebook and run `import tensorflow as tf` and `tf.config.list_physical_devices("GPU")` as above to confirm that TensorFlow does indeed see your GPU device(s).
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Lastly, to interrupt the server, press Ctrl-C, then run:
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