Arcgis lernen mit RTX 3090

williamlidberg1

Ich habe erfolgreich Modelle in arcgis pro 2.6 mit einer gtx 1050 ti trainiert und verwendet. Kürzlich habe ich auf eine RTX 3090 aufgerüstet, um mein Projekt zu skalieren. Allerdings benötigt die RTX 3090 cuda 11, das von pytorch 1.4, das mit arcgis pro 2.6 oder dem Deep Learning-Paket geliefert wird, nicht unterstützt wird. Gibt es einen Plan, das arcgis learn Paket zu aktualisieren, damit es mit pytorch 1.7 oder cuda 11 funktioniert? Kann ich das selbst lösen?

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.