Skip to content

Instantly share code, notes, and snippets.

@jkjung-avt

jkjung-avt/gcp-run.sh

Created September 29, 2018 06:35
Show Gist options
  • Star 1 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save jkjung-avt/c7aa7697e442a1b381e07264ec9a1929 to your computer and use it in GitHub Desktop.
Save jkjung-avt/c7aa7697e442a1b381e07264ec9a1929 to your computer and use it in GitHub Desktop.
Download ZIP
Example command to initiate a GCP ML training job
Raw
gcp-run.sh
# export YOUR_GCS_BUCKET=oxford-iiit-pets-dataset
gcloud ml-engine jobs submit training `whoami`_object_detection_pets_`date +%m_%d_%Y_%H_%M_%S` \
--runtime-version 1.9 \
--job-dir=gs://${YOUR_GCS_BUCKET}/model_dir \
--packages /home/jkjung/src/tensorflow/models/research/dist/object_detection-0.1.tar.gz,/home/jkjung/src/tensorflow/models/research/slim/dist/slim-0.1.tar.gz,/tmp/pycocotools/pycocotools-2.0.tar.gz \
--module-name object_detection.model_main \
--region asia-east1 \
--config cloud-ssd_mobilenet_v1_pets.yml \
-- \
--model_dir=gs://${YOUR_GCS_BUCKET}/model_dir \
--pipeline_config_path=gs://${YOUR_GCS_BUCKET}/data/ssd_mobilenet_v1_pets.config
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment