How to check at Tensorboard for freezed layers in transfer learning?

Question

I am fine-tuning pre-trained ResNet50 model for my application. In this transfer learning, I freezed a few lower layers in Config file like

train_config:{


  freeze_variables: ".*FirstStageFeatureExtractor/resnet_v1_50/conv1.*"
  freeze_variables: ".*FirstStageFeatureExtractor/resnet_v1_50/block1.*"
  freeze_variables: ".*FirstStageFeatureExtractor/resnet_v1_50/block2.*"
  freeze_variables: ".*FirstStageFeatureExtractor/resnet_v1_50/block3.*"


}

How can I confirm all these layers are freezed in training? I used Object detection API in training?