Arcgis aprender con RTX 3090

williamlidberg1

He entrenado y utilizado modelos con éxito en arcgis pro 2.6 usando una gtx 1050 ti. Recientemente actualicé a una RTX 3090 para escalar mi proyecto. Sin embargo, RTX 3090 requiere cuda 11 que no es compatible con pytorch 1.4 que viene con arcgis pro 2.6 o el paquete de deep learning. ¿Hay algún plan para actualizar el paquete arcgis learn para que funcione con pytorch 1.7 o cuda 11? ¿Puedo resolver esto por mi cuenta?

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.