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How to access TensorBoard

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Anthony Stevens edited this page May 31, 2018 · 1 revision

TensorBoard is a powerful tool for viewing the results of your training runs. It is now supported by PyTorch and other frameworks either directly or through various plugins.

Modify this command to match your own training run The entire string is a single command so execute all on one line.

S3_VERIFY_SSL=0 S3_ENDPOINT=s3-api.us-geo.objectstorage.softlayer.net AWS_ACCESS_KEY_ID=xxxxx AWS_SECRET_ACCESS_KEY=xxxxx AWS_REGION=us-geo tensorboard --logdir=s3://mnist-fashion-results/training--1u0V9RiR/learner-1/logs/tb > /dev/null

  1. Install Tooling
  1. Create services
  1. Update Credentials
  1. Execute Experiments

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