Pruning Frcnn model

I can prune classification model. But when I prune Frcnn model, I have error as follow.

root@285077e68bc3:/workspace/tlt-experiments/FasterRCNN/resnet18# tlt-prune -pm /workspace/tlt-experiments/FasterRCNN/resnet18/resnet18_model.epoch14.tlt -o /workspace/tlt-experiments/FasterRCNN/resnet18/resnet18_prune14 -k NHRvZzAwbHFncTk0MXJ0YmwwbXB1bGxhbnU6MjYzNzc2MDctYzQ5MC00NjkxLThkODAtODM0NDc3ZTRhNTNh -eq union -pth 0.5
Using TensorFlow backend.
Traceback (most recent call last):
  File "/usr/local/bin/tlt-prune", line 8, in <module>
    sys.exit(main())
  File "./common/magnet_prune.py", line 169, in main
  File "./common/magnet_prune.py", line 105, in run_pruning
  File "./common/utils.py", line 154, in decode_to_keras
IOError: Invalid decryption. Unable to open file (File signature not found)

Frcnn is not allowed to prune?

Frcnn is allowed to prune.

Please check the key is correct.

Reference: IOError: Invalid decryption. Unable to open file (File signature not found) tlt-prune command

My key is correct. I used the same key for classification. It worked. But pruning frcnn model has
IOError: Invalid decryption. Unable to open file (File signature not found) this error.

Then training frcnn doesn’t need key. This is frcnn training command tlt-train faster_rcnn -e frcnn_kitti_retrain_spec.txt

Frcnn needs key.
But it is set inside the the training spec(2nd line). So, please double check your training spec and set the correct one in it.

Thanks. I found mistake.