class_docstr: A class to remove ``script_mode`` from TensorFlow estimators (because it's the only mode).
docstr: Modifies the ``ast.Call`` node's keywords to remove ``script_mode``.
  
  Args:
      node (ast.Call): a node that represents a TensorFlow constructor.
  
  Returns:
      ast.AST: the original node, which has been potentially modified.
docstr_tok: ["Modifies","the","``","ast.Call","``","node","'s","keywords","to","remove","``","script_mode","``",".","Args",":","node","(","ast.Call",")",":","a","node","that","represents","a","TensorFlow","constructor",".","Returns",":","ast.AST",":","the","original","node",",","which","has","been","potentially","modified","."]
code: def modify_node(self, node):
      """Modifies the ``ast.Call`` node's keywords to remove ``script_mode``.
  
      Args:
          node (ast.Call): a node that represents a TensorFlow constructor.
  
      Returns:
          ast.AST: the original node, which has been potentially modified.
      """
      for kw in node.keywords:
          if kw.arg == "script_mode":
              node.keywords.remove(kw)
      return node
  
imports: from __future__ import absolute_import
  from sagemaker.cli.compatibility.v2.modifiers import matching
  from sagemaker.cli.compatibility.v2.modifiers.modifier import Modifier
label_desc: Use image node_id 3 for calling the TensorFlowScriptModeParameterRemover obj's underlying member method code with example usage: obj.modify_node(node) and returns: node