Arcgis learn s RTX 3090

williamlidberg1

Úspěšně jsem trénoval a používal modely v arcgis pro 2.6 pomocí gtx 1050 ti. Nedávno jsem upgradoval na RTX 3090, abych rozšířil svůj projekt. Nicméně RTX 3090 vyžaduje cuda 11, které není podporováno pytorch 1.4, který je součástí arcgis pro 2.6 nebo balíčku deep learning. Je plán aktualizace balíčku arcgis learn tak, aby fungoval s pytorch 1.7 nebo cuda 11? Mohu to vyřešit sám?

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.