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Releases: RedisAI/aibench

Version 0.3.1

22 Mar 18:17
5b407e1
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Features

  • Added Tensorflow Lite benchmarking support (#56)
  • Add per tick memory stats to redisai_vision runner. (#61)
  • Re-use per-worker vision tensors as means for optimized vision benchmark (#59)
  • Included a small script to process the JSON output and provide an CPU table with info for backend, main-thread, and background workers (#55)
  • Vision multi endpoint benchmarks (#52)

🧰Maintenance

  • Added missing data-vision and data-fraud make rules (#54)
  • Included details on how to produce the results table after running the vision benchmark (#58)

Thanks to @koleini for the contributions!

Version 0.3.0

04 Dec 16:57
f5ec8ab
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Changes

🚀Features

  • Runtime metrics collection PR ( focusing on RedisAI benchmarks ) (#46)
  • Retrieving futher runtime statistics on RedisAI vision benchmark (#44)
  • Storing runtime info text output on the redisai vision benchmark (#43)
  • Added json-output-file with overall inference stats. Improved overall vision testing script (testing autobatching, and tensor batching) (#40)
  • Increased vision dataset size (#36)
  • RedisAI vision binaries enhancements (#31)
  • Added docs section regarding batching multiple inputs (images) to 4D batch tensor. Included also info on how to retrieve runtime stats (#30)
  • Support for tensor batching on redisai vision benchmark (#29)

Bug Fixes

  • Fixed large vision datasets generation (#39)
  • Fixed missing iteration on vision data generator (#38)
  • Fixed large vision datasets generation (#37)
  • Fixed opencv install issue (#35)
  • Fixed benchmark folders being wrongfully ignored (#34)

🧰Maintenance

  • Splits all CI into 3 jobs ( build, dataset check for fraud, dataset check for vision ) (#47)

Version 0.2.0

15 Sep 17:54
32dffbf
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Main Features

  • Included TensorFlow Serving on ARM supplemental guide for fraud benchmark @filipecosta90 (#22)

  • Financial benchmark refactor, go.mod across vendor dependencies and CI validation on both fraud and vision benchmarks @filipecosta90 (#24)

  • Update documentation to reflect all benchmarks (vision and fraud) install instructions @filipecosta90 (#23)

v0.1.1

09 Sep 23:49
8ce827c
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This is a patch release for the benchmark version used for 1.0 benchmarks.

v0.1

17 May 22:25
327ca03
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v0.1 Pre-release
Pre-release
  • This version was used for RedisAI 1.0 results