Skip to content

v1.3.0
Compare
Choose a tag to compare
@zhangjiajin zhangjiajin released this 23 Mar 01:39
· 150 commits to master since this release
v1.3.0
14d5d49
This commit was created on GitHub.com and signed with GitHub’s verified signature. The key has expired.
GPG key ID: 4AEE18F83AFDEB23
Expired
Verified
Learn about vigilant mode.

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
Assets 3
Loading