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Releases: huawei-noah/vega

v1.5.0

26 Jun 07:45
8e0af84
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  • Feature enhancement:

    • Fixed some bugs in distributed training.
    • Some networks support PyTorch + Ascend 910.
    • The Vega-process, Vega-progress, and vega-verify-cluster commands provide JSON format information.

v1.4.0

07 Jun 12:31
977054e
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  • Feature enhancement:

    • Support TensorFlow and Mindpore distributed training in the search phase.
    • The classification and detection joint training with same backend.
    • Dynamically setting transformers.
    • Added tools such as vega-process and vega-progress.
    • New trainer ScriptRunner that directly invoke user scripts during the HPO process.
    • The BO of the BOHB can use HEBO.
  • New algorithm:

    • PBT:Population Based Training of Neural Networks
    • Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation

v1.3.0

23 Mar 01:39
14d5d49
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Vega ver1.3.0 released:

  • Feature enhancement:
    • Ascend platform, search and training on the Ascend 910 (TensorFlow and MindSpore), and model evaluation on the Ascend 310.
    • Model evaluation is supported on the Kirin 990.
    • Allows user datasets to be FineTune on DNet pretrained models and surpass SOTA on Ascend 910/310.
    • Support the pruning capability of user datasets and ResNet models. For the Cifar100 data set, the precision changes slightly (+– 0.5), the latency decreases by 15%, and the model size decreases by 30%.
  • New algorithm:
    • ModularNAS: Towards Modularized and Reusable Neural Architecture Search, A code library for various neural architecture search methods including weight sharing and network morphism.
    • DNet: Network architecture search algorithms and Model Zoo that are affinity with Davinci chips.
    • MF-ASC: Multi-Fidelity neural Architecture Search with Co-kriging.

Install:

pip3 install --user --upgrade noah-vega

or

pip3 install --user --upgrade noah_vega-1.3.0-py3-none-any.whl

release ver1.2.0

13 Nov 08:13
5f82456
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pip3 install --user noah_vega-1.2.0-py3-none-any.whl
python3 -m vega.tools.install_pkgs

v1.0.0

10 Aug 12:29
0f1d0d0
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release ver1.0.0

0.9.3

29 Jun 13:31
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0.9.3 Pre-release
Pre-release
v0.9.3

release 0.9.3