NVIDIA
NVIDIA
PyG
Container
NVIDIA
NVIDIA
PyG

PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data.

LayerLabelCreated
9545a9656a9b777ee54807b041ef107e4cdaa833948c5ca4ccb7966b3a4ba21fCONFIG
Entrypoint /opt/nvidia/nvidia_entrypoint.sh; WorkingDir /workspace; ExposedPorts 6006/tcp, 8888/tcp
05/22/2025 5:51 AM UTC
65c2c4d38c97fb5d8df27ed9ea0d521f508170be7c03e82f7bada69cd76ed0b3ARG
NVIDIA_BUILD_REF=ae1f7c72267dd2c5e19678299580d145f15adee3
05/22/2025 5:51 AM UTC
f80aac5973135faa09b8fee08a35c0112a6527e940be6f637196fd77ce7384f4LABEL
com.nvidia.build.id=170647904
05/22/2025 5:51 AM UTC
979a26ea80ce64749f97a71c150ec83cafaff0cc3ce683235a2c764e132130c3ENV
NVIDIA_BUILD_ID=170647904
05/22/2025 5:51 AM UTC
7d887e946d7c4f99e1882a67b1a616b24638a4cc6bde00d529465ee226aa1ec2ARG
NVIDIA_BUILD_ID=170647904
05/22/2025 5:51 AM UTC
ef4d139a4873d8cefbb1dd6fc8d82f16efceb3ecbf1aede1ae1e6dcac595812cENV
NVIDIA_PYG_VERSION=25.05
05/22/2025 5:51 AM UTC
6de49b5ceb6fe8688ee801be9028476a81accb22674c2b3158151f7c5cdf1b15ARG
NVIDIA_PYG_VERSION=25.05
05/22/2025 5:51 AM UTC
3e79f8a3f7499438ba9856ab665a3337134fb1464a324250f45fd231db723303LABEL
com.nvidia.pyg.version=2.7.0
05/22/2025 5:51 AM UTC
f2887641371aa90304e10173dc4d539fb9a60353979983b0af30e016c33312d1ENV
PYG_VERSION=2.7.0
05/22/2025 5:51 AM UTC
fd817ca531b49b1cff90ed28b5952f4b1fd3655bf30b20c9768bf2ef7ed03295ARG
PYG_VERSION=2.7.0
05/22/2025 5:51 AM UTC
...

NVIDIA uses cookies to improve your experience on our web site. We and our third-party partners also use cookies and other tools to collect and record information you provide as well as information about your interactions with our websites for performance improvement, analytics, and to assist in marketing efforts. By clicking "Accept All", you consent to our use of cookies and other tools as described in our Cookie Policy. You can manage your cookie settings by clicking on "Manage Settings." By continuing to use this site or by clicking one of the buttons below, you agree to our Terms of Service (which contains important waivers). Please see our Privacy Policy for more information on our privacy practices.