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2.2.0 Update

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@huijjj huijjj released this 27 Sep 04:30

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Key Updates:

  • Removed Dependencies: The dependency on onnx-simplifier and onnx-graphsurgeon for ONNX-level optimization has been removed.

  • Expanded Compatibility: Added support for PyTorch versions 2.1, 2.2, 2.3 and 2.4 and Python versions 3.10, 3.11 and 3.12.

  • TensorRT Update: Starting with this version, we strongly recommend using the latest TensorRT version (currently 10.2) for the runner to ensure compatibility and optimal performance.

Minor Changes:

  • Calibration in no_grad Mode: Calibration now runs in no_grad mode by default. If benchmarking without no_grad is required, adjust the setting by modifying OWLITE_CALIBRATION_ENABLE_GRAD.

  • Minor bug fixes and UX improvements.

Impact on Users:

  • Please use pre-built wheel for installation to avoid potential issues with dependencies and setup.