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Commits on Nov 14, 2022

• Remove multiprocessing_distributed from the configs (openvinotoolkit#1358)

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  vshampor

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  85c3f78

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Commits on Nov 10, 2022

• Requirements.txt for OpenVINO examples (openvinotoolkit#1360)

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  alexsu52

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• Support for Python 3.6 was removed (openvinotoolkit#1359)

  andrey-churkin

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• Remove shape_inference from initialization of ONNXGraph (openvinotoolkit#1353)

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  kshpv

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Commits on Nov 9, 2022

• Added nncf path to PYTHONPATH variable (openvinotoolkit#1361)

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  sstrehlk

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  900c9ce

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• Remove contiguous grad_output warning (openvinotoolkit#1357)

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  vshampor

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• quantize method for ONNX, Torch and TensorFlow backends (openvinotoolkit#1340)

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  alexsu52

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Commits on Nov 8, 2022

• Added test for searching MHSA and FF in SwinTransformer (openvinotoolkit#1350)

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  ljaljushkin

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• Actualized some reference .dot files (openvinotoolkit#1355)

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  ljaljushkin

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• Restricted ninja version to be not higher than 1.11 (openvinotoolkit#1356)

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  ljaljushkin

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Commits on Nov 7, 2022

• added openvino extra argument to setup.py (openvinotoolkit#1349)

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  alexsu52

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Commits on Nov 4, 2022

• Fix typos (openvinotoolkit#1351)

  vshampor

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Commits on Nov 3, 2022

• Switch E2E paths to OV2 (openvinotoolkit#1331)

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  vshampor

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• pylint happy (openvinotoolkit#1346)

  alexsu52

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Commits on Nov 1, 2022

• Automatic addition of NNCF ONNX and NNCF OpenVINO labels (openvinotoolkit#1347)

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  alexsu52

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Commits on Oct 31, 2022

• Added the ignored scope parameter to the quantize function signature (openvinotoolkit#1330)

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  alexsu52

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Commits on Oct 28, 2022

• Add FAQ (openvinotoolkit#1338)

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  vshampor

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  119e312

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Commits on Oct 27, 2022

• Support PyTorch version strings with .pre (openvinotoolkit#1341)

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  helena-intel

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Commits on Oct 24, 2022

• Fixed the issue with using torch.onnx.export() (openvinotoolkit#1337)

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  alexsu52

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Commits on Oct 21, 2022

• fixed issue with num_bn_adaptation_samples=0 (openvinotoolkit#1336)

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  alexsu52

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Commits on Oct 19, 2022

• Updated patch for NNCF integration to the latest transformers release v4.23.1 (openvinotoolkit#1328)

  ljaljushkin

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Commits on Oct 18, 2022

• PTQ MinMax algorithm update (openvinotoolkit#1316)

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  nikita-malininn

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• Fixed typo in the docstring of the get_keras_layer_metatype function (openvinotoolkit#1324)

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  alexsu52

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Commits on Oct 17, 2022

• PTQ for the OpenVINO backend (openvinotoolkit#1295)

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  andrey-churkin

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  f662e48

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• Introduce automatic adding post-processing nodes to ignored scopes for quantization (openvinotoolkit#1312)

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  kshpv

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  35a8413

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• Fixed Torch/ONNX MatMul graph patterns (openvinotoolkit#1318)

  l-bat

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Commits on Oct 14, 2022

• Fixed degradation in block search tests with LayerNorm (openvinotoolkit#1320)

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  ljaljushkin

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Commits on Oct 13, 2022

• Remove excessive docstring locations (openvinotoolkit#1296)

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  vshampor

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  228fcaf

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• Bump lower allowed networkx version (openvinotoolkit#1315)

  vshampor

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• [Continue] Do not ignore the entire fused pattern if non-primary nodes are in the ignored scopes (openvinotoolkit#1314)

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  ljaljushkin

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  vshampor

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• Enable elastic input width for Layernorm layer (openvinotoolkit#1273)

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  jpablomch

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  yzheng124

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• Relaxation of the networkx version (openvinotoolkit#1310)

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  alexsu52

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  vshampor

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  e7dc487

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Commits on Oct 12, 2022

• [Torch] Quantizers fp16 benchmark (openvinotoolkit#1313)

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  daniil-lyakhov

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• [CUDA] Cuda backward kernels FP16 fix (openvinotoolkit#1279)

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  daniil-lyakhov

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Commits on Oct 11, 2022

• Introduce PTQ FastBC (openvinotoolkit#1282)

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  nikita-malininn

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  ea4f89d

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