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Provide Bazel cache for TensorFlow builds

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#5 21 comments 8 reactions 0 assignees View on GitHub

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Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
25/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Stale
Tech stack
docker, google-cloud
Domain
build-system, cloud

Research direction

Start by reviewing the linked TensorFlow issues and the referenced Bazel remote-execution and remote-caching documentation. The issue lists several possible approaches rather than a defined entry point; done would require selecting and implementing a supported cache or build-resource solution for external TensorFlow contributors.

Written by the indexing model from the issue text.

Description

Providing a TensorFlow build cache could be very helpful to external developers, and lower the barrier to entry of contributing to TF.

Some ideas for this we've discussed before are:

  • Offer Bazel RBE resources on behalf of SIG Build. This service is in alpha on GCP.
  • Provide a read-only build cache in a GCP bucket.
  • Provide devel_cache Docker images containing a build cache (these could be very large)
  • Provide code-and-cache volumes for the docker devel images.

See also:

Dominant language
Shell
Stars
311
Forks
139
Avg merge
1h 28m
Merged PRs (30d)
1

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

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