How-to Guides

How-to guides

• Setting up GCP accounts and projects

  Setting up a Google Cloud account and a project.

• Activating Cloud TPU APIs

  Activating Compute Engine and Cloud TPU APIs.

• Connecting to Cloud Storage buckets

  Storing your machine learning data on a Cloud Storage bucket. Giving your Cloud TPU access to data objects in the bucket.

• Creating and deleting TPUs

  Setting up Cloud TPU or deleting nodes step-by-step.

• Using Cloud TPU Tools

  Monitoring Cloud TPU and model training using TensorBoard and command line tools.

• Setting up TensorBoard

  Setting up TensorBoard to visualize and monitor the output and performance of your training application.

• Cloud TPU monitoring with StackDriver

  Cloud TPU monitoring with Stackdriver. Displays logs and supports creating log-based metrics for the Cloud TPU runtime binary. Provides tools for creating dashboards and alerts based on log metrics.

• Preparing the ImageNet dataset

  How to download, preprocess, and upload the ImageNet dataset to a Cloud Storage bucket.

• Preparing the COCO dataset

  How to download, preprocess, and upload the COCO dataset to a Cloud Storage bucket.

• Using TPUs with GKE

  A guide to setting up Cloud TPU with Google Kubernetes Engine.

• Using preemptible TPUs

  How and why you can allow Cloud TPU to preempt your TPU for usage by other workloads.

• Cloud TPU audit logs

  Accessing and using Cloud TPU audit logs.

• Cloud TPU version switching

  Switching software versions on your Cloud TPU.