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Version 2.25.0

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@aimetci aimetci released this 25 Feb 17:22
· 2 commits to release-aimet-2.25 since this release
2.25.0
cb9bb8e

2.25.0

  • Bug fixes and Improvements

    • ONNX

      • Reduced peak CPU memory usage for AdaScale and SeqMSE techniques (28f89a7)
      • Reduced peak CUDA memory usage for AdaScale technique (a29f44f)
      • Added support for Qwen3 VL models in GenAITests (c014961)
      • ONNX-IR based supergroup pattern detection and replacement (9972c1b)
      • Tie concat and interpolation ops by default (a8ac6f4)

    • Torch

      • Bug fix for onnx qdq export with control flow ops (ae1abd1)
      • Use Triton kernels by default if available (3adcbee)
      • Introduces block_size parameter to EncodingAnalyzer (e250abd)
      • Always export encodings as uint (ae7d5ef)
      • float4/8 QDQ export support (135a0af)
      • Support loading zero_point_shift with sim.load_encodings() (624ba30)
      • Support built-in quantization of SyncBatchNorm (1e8eceb)
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