NNSmith 0.1.0-rc1

Notable Improvements

• Adding more ops for TF (#55)
• Add UB and vulnerable ops filter (#56)
• Resuming coverage instrumentation (#60)
• GraphIR for systematic model manipulation (#61, #64, #66)
• Adding versioning information for nnsmith/model/backend (#63)
• Concolic generation (#66)
• Sharpening and testing user-defined constraints (#72)
• Include and exclude ops by name and data types (#72)
• Adding more complete data types (#74, #76)
• Deprecate support for iree (#74)
• Supporting torchjit as backend (#79)
• Run eager mode on GPU if the backend target is CUDA (#89)
• Fixing or improving operator rules: Pool2d, InterpBase, ReduceBase (#66), Reshape (11a29ef), broadcast, Abs, ReflectPad, ArgMin/Max (#74)
• Adapting TF's naming convention in GraphIR's var names (#66)
• Harnessing hydra dependencies (#66, #68)
• Documentation (#57, #58, #60, bf1f592, dce784a, ba486ca)
• Fixing and supporting fp16 (#85, #89)
• Contribution guidance (#86)
• Code of conduct (#82)
• Issue templates (#80)

See the full commit list: a8307f2...8cee6f6

PyPI Release

https://pypi.org/project/nnsmith/0.1.0rc1/

Contributors

@Co1lin @ganler @jakc4103

Thanks, @soodoshll and many others for issue reporting.