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export IMAGE_FAMILY="pytorch-latest-cu92" | |
export ZONE="us-west1-b" | |
export INSTANCE_NAME="my-instance" | |
gcloud compute instances create $INSTANCE_NAME \ | |
--zone=$ZONE \ | |
--image-family=$IMAGE_FAMILY \ | |
--image-project=deeplearning-platform-release \ | |
--maintenance-policy=TERMINATE \ | |
--accelerator='type=nvidia-tesla-v100,count=1' \ | |
--metadata='install-nvidia-driver=True' |
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export IMAGE_FAMILY="pytorch-latest-gpu" | |
export ZONE="us-west1-b" | |
export INSTANCE_NAME="pytorch-colab-backend" | |
gcloud compute instances create $INSTANCE_NAME \ | |
--zone=$ZONE \ | |
--image-family=$IMAGE_FAMILY \ | |
--image-project=deeplearning-platform-release \ | |
--maintenance-policy=TERMINATE \ | |
--accelerator='type=nvidia-tesla-v100,count=1' \ | |
--metadata='install-nvidia-driver=True' |
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gssh pytorch-colab-backend -- -L 8080:localhost:8080 |
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gssh () { | |
gcloud compute ssh $@ | |
} |
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ginstance_delete pytorch-colab-backend |
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ginstance_delete () { | |
gcloud compute instances delete --quiet $@ | |
} |
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export IMAGE_FAMILY="tf-latest-cu92" | |
export ZONE="us-west1-b" | |
export INSTANCE_NAME="tf-with-anaconda" | |
gcloud compute instances create $INSTANCE_NAME \ | |
--zone=$ZONE \ | |
--image-family=$IMAGE_FAMILY \ | |
--image-project=deeplearning-platform-release \ | |
--maintenance-policy=TERMINATE \ | |
--accelerator='type=nvidia-tesla-v100,count=1' \ | |
--metadata='install-nvidia-driver=True' |
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export ANACONDA_URL=https://repo.anaconda.com/archive/Anaconda3-5.2.0-Linux-x86_64.sh | |
export ANACONDA_INSTALLER=anaconda_installer.sh | |
wget $ANACONDA_URL -O $ANACONDA_INSTALLER | |
chmod +x $ANACONDA_INSTALLER | |
./$ANACONDA_INSTALLER -b | |
echo "export PATH=$PATH:$HOME/anaconda3/bin" >> $HOME/.bashrc | |
source $HOME/.bashrc |
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conda create -n tf_p35 -y python=3.5 |
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BINARY_NAME=`ls /opt/deeplearning/binaries/tensorflow/ | grep cp35 | grep gpu` | |
# OR FOR CPU IMAGES: | |
# BINARY_NAME=`ls /opt/deeplearning/binaries/tensorflow/ | grep cp35 | grep -v gpu` | |
pip install /opt/deeplearning/binaries/tensorflow/$BINARY_NAME |