Production Inference Deployment with PyTorch

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  • Опубликовано: 6 янв 2025

Комментарии • 7

  • @konataizumi5829
    @konataizumi5829 3 года назад +14

    0:00 - Intro
    0:30 - Evaluation Mode
    2:25 - TorchScript
    5:34 - TorchScript and C++
    7:37 - TorchServe
    8:39 - TorchServe example

  • @mostafagvarzaneh3723
    @mostafagvarzaneh3723 2 года назад +5

    in minute 5:17 shouldnt we save scripted_model (scripted_model.save('my_scripted_model.pt'))?

    • @aixueer4ever
      @aixueer4ever Год назад

      exactly what I want to ask. i think you are right.

  • @JosepOriol24
    @JosepOriol24 3 года назад

    Very informative! Thank you!

  • @cristhian4513
    @cristhian4513 3 года назад

    Definitely torchserve is a good option to deployment :))

  • @user-or7ji5hv8y
    @user-or7ji5hv8y 3 года назад +4

    Audio is quite low

    • @robosergTV
      @robosergTV 10 месяцев назад +1

      The issue is with your hardware. Use a chrome audio plug-in or an external audio device with good amplification.