Bump grain from 0.2.16 to 0.2.18

[dependabot]

Bumps grain from 0.2.16 to 0.2.18.

Release notes

Sourced from grain's releases.

Grain 0.2.18

• New features:
  • Added PyGrain telemetry metrics (bytes read, read latency, and prefetch depth) for OSS via Prometheus.
  • Added support for non-sequence meta-features in PyGrain packing transformations.
• Bug fixes:
  • InterleaveDatasetIterator now overrides start_prefetch() such that it indeed starts prefetching (it did not do anything before).

Grain 0.2.17

• New features:

  • Adds automated batching into shared memory when multiprocess prefetch is used to save one data copy.
  • Updates TfMixtureIndexSampler to accept dynamic 1D/2D Tensor/Variable proportions that could be updated during runtime.
  • Automatic Xprof subprocess trace collection into PyGrain workers. To enable, set flag grain_enable_multiprocess_worker_profiling=true and add "profile_subprocesses" = True in advanced profiler options.

• Breaking changes:

  • Force index shuffle rounds to not be bigger than 1024

• Bug fixes:

  • Preserve and reconstruct tracebacks for exceptions thrown in worker processes across multiprocessing boundaries
  • Fixes performance regression in traceback filtering when workers are frequently exhausting small datasets.
  • Fixes silent string truncation in shared memory batching.

Changelog

Sourced from grain's changelog.

Grain 0.2.18 (June 17, 2026)

• New features:

  • Added Grain telemetry metrics (bytes read, read latency, and prefetch depth) for OSS via Prometheus.
  • Added support for non-sequence meta-features in Grain packing transformations.

• Bug fixes:

  • InterleaveDatasetIterator now overrides start_prefetch() such that it indeed starts prefetching (it did not do anything before).

Grain 0.2.17 (June 1, 2026)

• New features:

  • Adds automated batching into shared memory when multiprocess prefetch is used to save one data copy.
  • Adds experimental ShapeDtypeStructProtocol and ShapeDtypeStruct to represent dataset element specs.
  • Updates TfMixtureIndexSampler to accept dynamic 1D/2D Tensor/Variable proportions that could be updated during runtime.
  • Adds profiling of multiprocess workers when using XProf profiler. To enable, set flag grain_enable_multiprocess_worker_profiling=true and add "profile_subprocesses" = True in advanced profiler options.
  • Adds support for non-sequence meta-features in packing transformations.

• Breaking changes:

  • Force index shuffle rounds to not be bigger than 1024.

• Deprecations:

• Bug fixes:

  • Fixes bug causing tracebacks to be swallowed in worker processes.
  • Fixes performance regression in traceback filtering when workers are frequently exhausting small datasets.
  • Fixes silent string truncation in shared memory batching.
  • Preserve and reconstruct tracebacks for exceptions thrown in worker processes across multiprocessing boundaries

Commits

• d256826 Calling start_prefetch on InterleaveIterDataset now correctly starts prefetch...
• 4af068d Support non-sequence meta-features in PyGrain packing transformations.
• d6f2b1c DOC: add jax training tutorial
• a67edcc Internal
• b827fda Add PyGrain telemetry metrics (bytes read, read latency, and prefetch depth).
• 2f9057f Bump version after release.
• af38253 internal
• 7443a2a Correct next index calculation in dataloader set state.
• 50d2dd0 Fix silent string truncation in PyGrain shared memory batching
• 679e0db internal
• Additional commits viewable in compare view

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