configuration_model(deg_sequence, create_using=None, seed=None) 返回具有给定度数序列的随机图。 配置模型通过随机分配边来匹配给定的度序列,生…
import open_clip print("Loading model") logging.basicConfig(level=logging.INFO, stream=sys.stdout) model, _, transform = open_clip.create_model_and_transforms( model_name="coca_ViT-L-14", pretrained="mscoco_finetuned_laion2B-s13B-b90k" ) with torch.no_grad(), torch.cuda.amp.autocas...
Install pytorch, networkx and ConfigSpace (version 1.12 as of Jul 2022). Also install botorch. Please ensure python version < 3.10. conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch Our code have been tested with both torch versions above and below 2.0.0. ...
- networkx==3.1 - ninja==1.11.1.1 - nltk==3.8.1 - nmslib==2.1.1 - numba==0.59.1 - numexpr==2.8.6 - numpy==1.23.1 - nvidia-cublas-cu11==11.10.3.66 Expand All @@ -187,18 +212,22 @@ dependencies: - nvidia-cusolver-cu12==11.4.5.107 - nvidia-cusparse-cu11==11.7.4.91 - nvi...
Model parameter getters and setters modeled on NetworkX methods #679 Closed Contributor Author sbenthall commented Jul 23, 2020 The next step in this issue is to allow the configuration of a HARK model from a YAML file. The best thing to do would be to use an existing YAML format fo...