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@filipecosta90 filipecosta90 released this 04 May 17:43
· 1054 commits to master since this release
v0.99.0
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Learn about vigilant mode.

This is a major milestone release for RedisAI v0.9.9.

Supported Backends:

  • TensorFlow Lite 2.0
  • TensorFlow 1.15.0
  • PyTorch 1.5
  • ONXXRuntime 1.2.0

New Features:

  • #241, #270 auto-batching support. Requests from multiple clients can be automatically and transparently batched in a single request for increased CPU/GPU efficiency during serving.
  • #322 Add AI.DAGRUN. With the new AI.DAGRUN (DAG as in direct acycilc graph) command we support the prescription of combinations of other AI.* commands in a single execution pass, where intermediate keys are never materialised to Redis.
  • #334 Add AI.DAGRUN_RO command, a read-only variant of AI.DAGRUN
  • #338 AI.MODELSET Added the possibility to provide a model in chunks.
  • #332 Standardized GET methods (TENSORGET,MODELGET,SCRIPTGET) replies (breaking change for clients)
  • #331 Cache model blobs for faster serialization and thread-safety.

Minor Enhancements:

  • #289 Memory access and leak fixes.
  • #319 Documentation improvements.

Build Enhancements:

  • #299 Coverage info.
  • #273 Enable running valgrind/callgrind on test platform
  • #277, #296 tests extension and refactoring per backend.

Notes:
The version inside Redis will be 9900 or 0.99.0 in semantic versioning. Since the version of a module in Redis is numeric, we use 0.99 to resemble that it's almost 1.0

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