RedisAI 1.0 release notes
Requirements
RedisAI v1.0.2 requires:
- Minimum Redis compatibility version (database): 5.0.7
- Minimum Redis Enterprise Software version (cluster): 5.4.11
v1.0.2 (October 2020)
This is a maintenance release for version 1.0.
Headlines:
This release improves overall stability and provides fixes for issues found after the previous release.
Details:
-
Minor updates:
- #383 Enable
AI.SCRIPTRUN
insideAI.DAGRUN
- #395 Add support for variadic arguments to
AI.SCRIPTRUN
- #400 Low level API additions for use in other modules (e.g. RedisGears)
- #396 Add relevant RedisAI config entries to the Redis INFO output. Helpful for standard monitoring systems
- #383 Enable
-
Bug Fixes:
v1.0.1 (July 2020)
This is a maintenance release for version 1.0.
Headlines:
- This release improves overall stability and provides fixes for issues found after the previous release.
Details:
-
Bug Fixes:
v1.0.0 (May 2020)
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:
Build Enhancements: