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aimet_onnx-2.40.0-cp310-abi3-manylinux_2_34_x86_64.whl 2026-09-21 85.0 MB
aimet_onnx-2.40.0-cp310-abi3-win_amd64.whl 2026-09-21 765.2 kB
aimet_onnx-2.40.0-cp310-abi3-win_arm64.whl 2026-09-21 731.1 kB
aimet_torch-2.40.0-py310-none-any.whl 2026-09-21 816.0 kB
README.md 2026-09-21 1.6 kB
Version 2.40.0 source code.tar.gz 2026-09-21 9.8 MB
Version 2.40.0 source code.zip 2026-09-21 10.6 MB
Totals: 7 Items   107.8 MB 0

2.40.0

  • New Features

    • ONNX
      • Add encodings_to_onnx_qdq to convert an ONNX model plus encodings into a QDQ model (fcfc439)
      • Add session_options_kwargs argument to QuantizationSimModel to set onnxruntime session options (c173926)
      • Accept an explicit LlmTopology in apply_spinquant and apply_adascale (00c6089, c548be0)
      • Enable FP8 (float8e4m3fn, float8e5m2) quantization simulation on both CPU and CUDA, completing FP8 support alongside ONNX QDQ export (644c7bd)
    • Torch
      • Implement set_weight_quantizer_to_nvfp4_int8 API (05cc606)
  • Bug fixes and Improvements

    • ONNX

      • Fix calibration state restoration in QuantizationSimModel (df58875)
      • Analyze LLM topology and run SpinQuant on onnx_ir instead of ConnectedGraph (23633b1, 7b9aef6, 092a9dc)
      • Add all kv-cache inputs/outputs to LlmTopology (68e24d2)
      • Drop ignored connected_graph parameter from get_decoder_block_boundaries (2d71c85)
      • Auto-upcast fp16 AdaScale blocks to bf16 (1f03b7c)
      • Default to using all float outputs in make_psnr_eval_fn (5c41452)
    • Torch

      • Fix device mismatch upon .to() for qmodules with pre-quantized parameters (4111e41)
      • Fix fp4-int8 dynamo export bug (68588d4)
    • Common

      • Exclude depthwise Conv/ConvTranspose from supergroups and fix false negatives in depthwise conv detection (7729c97, 2a6b723)
      • Publish a single wheel per platform instead of +cpu/+cuXXX variants to the GitHub release (4fc12d8)
Source: README.md, updated 2026-09-21