rm print

cnn_e2e/resnet_model.py

@@ -129,7 +129,6 @@ def resnet50(images, trainable=True):
 
     # note: images.shape = (N C H W) in cc's new dataloader, transpose is not needed anymore
     # images = flow.transpose(images, name="transpose", perm=[0, 3, 1, 2])
-    print(images.shape, "******************************")
 
     with flow.deprecated.variable_scope("Resnet"):
         stem = resnet_stem(images)