Make wandb optional

requirements.txt

@@ -1,3 +1,3 @@
 torch>=1.4.0
 torchvision>=0.5.0
-pyyaml
+pyyaml

timm/utils/summary.py

@@ -30,6 +30,8 @@ def update_summary(epoch, train_metrics, eval_metrics, filename, write_header=Fa
     rowd = OrderedDict(epoch=epoch)
     rowd.update([('train_' + k, v) for k, v in train_metrics.items()])
     rowd.update([('eval_' + k, v) for k, v in eval_metrics.items()])
+    if log_wandb:
+        wandb.log(rowd)
     with open(filename, mode='a') as cf:
         dw = csv.DictWriter(cf, fieldnames=rowd.keys())
         if write_header:  # first iteration (epoch == 1 can't be used)

train.py

@@ -55,7 +55,7 @@ except AttributeError:
 try:
     import wandb
     has_wandb = True
-except ModuleNotFoundError: 
+except ImportError: 
     has_wandb = False
 
 torch.backends.cudnn.benchmark = True