Arcgis leren met RTX 3090

williamlidberg1

Ik heb met succes modellen getraind en gebruikt in arcgis pro 2.6 met een gtx 1050 ti. Onlangs ben ik geüpgraded naar een RTX 3090 om mijn project op te schalen. Echter, RTX 3090 vereist cuda 11, wat niet wordt ondersteund door pytorch 1.4 dat wordt meegeleverd met arcgis pro 2.6 of het deep learning-pakket. Is er een plan om het arcgis learn-pakket bij te werken zodat het werkt met pytorch 1.7 of cuda 11? Kan ik dit zelf oplossen?

JoshuaBixby

ArcGIS Pro doesn't come with PyTorch, so this is really more of Deep Learning issue than a general Pro issue.

Looking at Deep Learning Essentials :: Anaconda Cloud, which currently has the pre-release Pro 2.7 deep learning packages, it appears deep learning has a specific requirement not to use cudatoolkit 11.

{
  "arch": "x86_64",
  "build": "arcgispro_6",
  "build_number": 6,
  "depends": [
    "arcgispro 2.7.*",
    "cudatoolkit >=10.1,<11",
    "cudnn >=7.6,<8.0a0",
    ...
    "pytorch 1.4.*",
     ...
  ],
  "features": "arcgispro",
  "license": "Apache 2.0",
  "name": "deep-learning-essentials",
  "platform": "win",
  "subdir": "win-64",
  "timestamp": 1605904242370,
  "version": "2.7"
}

 

Getting back to your questions....  Is there a plan to have deep learning tools work with cuda 11, I think the answer is most definitely.  Does that plan happen with Pro 2.7, it doesn't look like it.  Given the way the configuration files look on Anaconda cloud, it appears you would not be able to update some of the dependency packages yourself.