v3.2.0

• Features:
  • Add support for ignoring specific weight nodes by constant node name within IgnoredScope for nncf.compress_weights and nncf.prune (#4063) (#4064).
• Fixes:
  • (PyTorch) Fixed TorchFX model extractor to prevent capture of nodes that do not affect target outputs (#3982).
  • Fixed QuantizationConstraints.from_config_dict to avoid unexpected behavior (#4046).
  • (OpenVINO) Fixed Scale Estimation to properly handle zero initial_steps and scale_steps in calculate_quantization_params (#4039).
• Improvements:
  • (OpenVINO) Added transpose_a attribute support for Scale Estimation algorithm in ONNX and OpenVINO backends (#3839).
  • (PyTorch) Removed no-op operations (to, dropout, etc.) from the inference graph in PTQ and Weight Compression algorithms (#4057).
  • (PyTorch) Improved load_from_config reliability by saving module path in serialized config (#4050) (#4054).
• Tutorials:
  • Post-Training Optimization of Qwen3-VL Embedding and Reranker Models
  • Post-Training Optimization of MiniCPM-V 4.6 Model
  • Post-Training Optimization of MinerU 2.5 Model
  • Post-Training Optimization of GLM-OCR Model
  • Post-Training Optimization of FLUX.2 Klein Model
  • Post-Training Optimization of MedASR Model
  • Post-Training Optimization of ERNIE-Image-Turbo Model
  • Post-Training Optimization of VoxCPM2 Model
  • Post-Training Optimization of HY-MT1.5 Models
  • Post-Training Optimization of YOLO26 Models
• Deprecations/Removals:
  • (PyTorch) Removed example_input parameter from load_from_config, which has been unused since 3.0.0 (#4051).
  • (PyTorch) Removed OVQuantizer from NNCF; use it from the executorch package instead (#3842).
  • Removed deprecated CompressWeightsMode.INT8 mode. Use CompressWeightsMode.INT8_SYM or CompressWeightsMode.INT8_ASYM instead (#4008).
  • Removed unused ProgressBar class (#4044).
• Requirements:
  • Updated onnx to 1.21.0 (#4006).
  • Updated torchao to 0.17.0 (#4013).
  • Updated onnxscript to 0.6.2 (#4015).