mirror of https://github.com/kubeflow/examples.git
31 lines
1.2 KiB
Bash
31 lines
1.2 KiB
Bash
export DEMO_PROJECT=kubeflow-demo-base
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export NAMESPACE=kubeflow
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export ZONE=us-central1-a
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export CLUSTER=kfdemo
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# Makefile uses project.
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export PROJECT=${DEMO_PROJECT}
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export ENV=gke
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export SVC_ACCT=minikube
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export KUBEFLOW_TAG=v0.3.3
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export KUBEFLOW_REPO=${HOME}/repos/kubeflow/kubeflow
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export DEMO_REPO=${HOME}/repos/kubeflow/examples/demos/yelp_demo
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export MAX_CASES=1000000
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export DATA_DIR=featurization/yelp-data-${MAX_CASES}
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export OUTPUT_DIR=training/yelp-model-${MAX_CASES}
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export TMP_DIR=tmp
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export PROBLEM=yelp_sentiment
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export USR_DIR=./yelp_sentiment
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export MODEL=transformer_encoder
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export HPARAMS_SET=transformer_yelp_sentiment
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export GCS_TRAINING_DATA_BUCKET=kubeflow-demo-base
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export GCS_TRAINING_DATA_DIR=gs://${GCS_TRAINING_DATA_BUCKET}/${DATA_DIR}
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export GCS_TRAINING_OUTPUT_BUCKET=kubeflow-demo-base
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export GCS_TRAINING_OUTPUT_DIR_LOCAL=gs://${GCS_TRAINING_OUTPUT_BUCKET}/${ENV}/local/${OUTPUT_DIR}
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export GCS_TRAINING_OUTPUT_DIR_CPU=gs://${GCS_TRAINING_OUTPUT_BUCKET}/${ENV}/CPU/${OUTPUT_DIR}
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export GCS_TRAINING_OUTPUT_DIR_GPU=gs://${GCS_TRAINING_OUTPUT_BUCKET}/${ENV}/GPU/${OUTPUT_DIR}
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export GCS_TRAINING_OUTPUT_DIR_TPU=gs://${GCS_TRAINING_OUTPUT_BUCKET}/${ENV}/TPU/${OUTPUT_DIR}
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