class_docstr: A graph branch class used for building part of an Estimator graph.
      
class_docstr_tok: ["A","graph","branch","class","used","for","building","part","of","an","Estimator","graph","."]
code: def __init__(
      self, input_tensor=None, output_tensor=None, params=None
  ):
      self.input_tensor = input_tensor
      self.output_tensor = output_tensor
      self.params = params if params is not None else dict()
      self._is_ready = False
      if input_tensor is not None and output_tensor is not None:
          self._is_ready = True
  
imports: from __future__ import division, print_function, absolute_import
  import os
  import tensorflow.compat.v1
  from tensorflow.python.ops import resources
  from ..utils import validate_func
label_desc: Use image node_id 1 to create a new GraphBranch object from inherited base classes: object with example: obj = GraphBranch(input_tensor, output_tensor, params)