Using run docker cmd for nvcr.io/nvidia/tensorflow:19.03-py3 docker image
I got:
The SHMEM allocation limit is set to the default of 64MB. This may be
insufficient for TensorFlow. NVIDIA recommends the use of the following flags:
nvidia-docker run --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 ...
Using run docker cmd for nvcr.io/nvidia/tensorflow:19.03-py3 docker image
I got:
The SHMEM allocation limit is set to the default of 64MB. This may be insufficient for TensorFlow. NVIDIA recommends the use of the following flags: nvidia-docker run --shm-size=1g --ulimit memlock=-1 --ulimit stack=67108864 ...
Maybe I need to mount a volume like:
in
https://github.com/CONABIO/kube_sipecam/blob/master/deployments/audio/kale-jupyterlab-kubeflow_0.4.0_1.14.0_tf_cpu.yaml#L35
??