class_docstr: This is a cleverhans model that wraps a robust vision benchmark model.
code: def fprop(self, x):
      return {self.O_LOGITS: self._logits_op(x)}
  
file_path: cleverhans/cleverhans_v3.1.0/examples/robust_vision_benchmark/cleverhans_attack_example/utils.py
imports: import cleverhans.model
  import tensorflow
  import numpy
label_desc: Use image node_id 2 for calling the RVBCleverhansModel obj's underlying member method code with example usage: obj.fprop(x) and returns: dict