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Releases: analogdevicesinc/ai8x-training

Final PyTorch 1.8 Release

05 Jul 13:52
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This is the final release for PyTorch 1.8. This branch has been archived in "archive-1.8". The develop branch now supports PyTorch 2.

What's Changed

  • Add improved FaceID model and new datasets by @oguzhanbsolak in #276
  • Add NAS KWS model, Dynamic Augmentation and Automated Evaluation Notebook by @alicangok in #280
  • Face Detection Library Replacement by @oguzhanbsolak in #287 and #320
  • Add Auto Encoder Model, Sample Motor Dataset Loader, and Evaluation Notebooks by @rotx-maxim in #296
  • Update KWS, MSNoise, Signalmixer Data Loaders & Evaluation Notebook by @EyubogluMerve in #299
  • Final PyTorch 1.8 release by @rotx-maxim in #324
  • Improve documentation
  • Various bug fixes

Full Changelog: 2023121...2024070

New models and datasets, bug fixes, documentation updates

19 Dec 17:08
750a052
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What's Changed

  • Bug fixes and documentation updates
  • Add depthwise convolution support to Conv1d, and depthwise ConvTranspose2d to MAX78002
  • Updated face detection, KWS and cats & dogs models
  • New action recognition model and Kinetics400 dataset
  • New object detection model: Feature Pyramid Detector (FPN) - PascalVOC
  • New Bayer2RGB network for debayerization

Bug fixes, documentation updates, model improvements

20 Dec 16:34
946077b
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What's Changed

  • Bug fixes
  • Documentation updates
  • Add support for pool dilation on MAX78002
  • Add notebook to evaluate a trained KWS model with audio files

Full Changelog: 2022071...2022122

Object detection model; various improvements

12 Jul 15:15
bfa4335
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  • Object detection model and example
  • Bug fixes
  • Improved documentation
  • Updated examples
  • Updated submodules

Documentation updates and bug fixes

20 Apr 18:16
b238dff
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  • Bug fixes
  • Improved documentation

Please follow the instructions in README.md to upgrade (ignore the zip files under “Assets”).

Improved documentation and Windows support, bug fixes

20 Dec 18:43
8c7ac01
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Note: “develop” is now the default branch. The virtual environment is now in the “venv” folder.

  • Documentation improvements
  • Bug fixes
  • Windows support (WSL2 and native)
  • Dilated Conv1d
  • Additional models and datasets
  • Updated SDK

Please follow the instructions in README.md to upgrade (ignore the zip files under “Assets”).

Bug fixes, documentation improvements

19 Aug 21:05
7a3b099
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  • Minor bug fixes to training script
  • Documentation improvements

Please follow the instructions in README.md to upgrade (ignore the zip files in the Release).

Network Architecture Search (NAS), updated Documentation, Bugfixes

24 Jun 19:19
dc37be6
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•	Network Architecture Search (NAS)
•	Update documentation
•	Update models and data loaders
•	Bug fixes

Please follow the instructions in README.md to upgrade (ignore the zip files in the Release).

PyTorch 1.8.1, updated Documentation, Bugfixes

22 Apr 20:56
62df4d3
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  • Update documentation
  • Upgrade to PyTorch 1.8.1
  • ConvTranspose2d support
  • Update models and data loaders
  • Bug fixes

Please follow the instructions in README.md to upgrade (ignore the zip files in the Release).

Quantization-Aware Training, Python 3.8.6, Bugfixes

26 Jan 23:50
d24dc69
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The main improvement in this release is enabling Quantization-Aware Training (QAT) by default.
Additionally, it upgrades to:

  • PyTorch 1.71, Python 3.8.6, CUDA 11
    There is also a number of bug fixes and documentation improvements.

Please follow the instructions in README.md to upgrade (ignore the zip files in the Release).