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@fivosts fivosts released this 13 Dec 11:51
· 5024 commits to master since this release
2.0.0
8d3c6b5

A short summary of all changes and upgrades:

Models

  • Implement Pytorch version of BERT
  • Added iterative compilation training in BERT model
  • Implement online data generator for training and sampling; Masks kernels on stream.
  • Implement active data generator for sampling only; Creates generations of good candidates based on distance from target features.
  • Add support for TPUs.
  • Add support for data parallelism in multiple GPUs.
  • Added compilation rate, sample features fields in samples DB.

Datasets

  • Implement BigQuery module for querying large datasets, in C, C++, OpenCL, Java, Python and GO.
  • Fetched a hybrid dataset (BigQuery + recursive miner) of 40,000 subject openCL files.
  • Enabled official OpenCL 2.2 API and now CL types are supported in training and generation.
  • Decreased overall rejection rate of corpuses; achieved 48% rejection rate in 40k kernel corpus.
  • Sample set feature is added; original corpus is pickled and can be masked with new specs.
  • Plot overall input features of encoded corpus.

System

  • Removed Bazel as a build system and migrated to CMake.

  • Upgraded full build to LLVM-9. Now both LLVM-6 and 9 are equally supported.

  • Add memory management modules for RAM and GPU memory.

  • Implement flask dashboard

  • Implement interactive plotly plots.

  • Bug fixes.

Assets 2
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