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Version 2.14.0

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@aimetci aimetci released this 08 Sep 20:00
2.14.0
e5b08c6

  • New Feature

    • ONNX
      • Add support for FP16 in QuantizationSimModel (2494d90)

  • Bug fixes and Improvements

    • ONNX

      • Add sequential MSE support for onnx >= 1.18.0. (754d030)
      • Improve histogram granularity during TFE calibration (91109af)
      • Improve runtime for QuantizationSimModel creation for large models like LLMs (f7e700f)
      • Improve runtime for setting quantizers in a QuantizationSimModel for use cases like tying KV Cache input and output quantizers. (c0bdb46)
      • Add a check for None values in the group attribute of Conv layers and fix improper handling of None group attribute in ConvTranspose within :func:fold_all_batch_norms_to_weight (374e8db)

    • PyTorch

      • Address QAT convergence issue: Add a fix for cases where quantizer.min becomes equal to quantizer.max during training, leading to NaN values (51f8990)

    • Keras

      • Fix accuracy drop issue for GPU wheel by excluding libpython*.so* from the aimet wheel packages (22cac5c)

    • Common

      • Remove Conv3d, Conv3dTranspose, and DepthwiseConv ops followed by activation from the supergroup until HTP support is available. (05f6810)
      • Fix color theme issue in documentation causing code snippets to render incorrectly (2c64eac)
Assets 9
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