class_docstr: ResNet model.
class_docstr_tok: ["ResNet","model","."]
code: def fprop(self, x):
      self.layer_idx = 0
      with tf.variable_scope("Resnet"):
          logits, probs = self._build_model(x)
      self.init_layers = False
      states = {"logits": logits, "probs": probs}
      return states
  
imports: from collections import namedtuple
  import tensorflow
  import six
  from model import MLPnGPU
  from model import Conv2DnGPU
  from model import LinearnGPU
  from model import LayerNorm
label_desc: Use image node_id 3 for calling the ResNetTF obj's underlying member method code with example usage: obj.fprop(x) and returns: states