code: def _get_variables(
      scope=None,
      suffix=None,
      collection=tf.compat.v1.GraphKeys.GLOBAL_VARIABLES,
  ):
      """Gets the list of variables, filtered by scope and/or suffix.
  
      Taken from tensorflow/contrib/framework/python/ops/variables.py.
  
      Args:
        scope: an optional scope for filtering the variables to return. Can be a
          variable scope or a string.
        suffix: an optional suffix for filtering the variables to return.
        collection: in which collection search for. Defaults to
          `GraphKeys.GLOBAL_VARIABLES`.
  
      Returns:
        a list of variables in collection with scope and suffix.
      """
      if scope is not None and isinstance(
          scope, tf.compat.v1.VariableScope
      ):
          scope = scope.name
      if suffix is not None:
          if ":" not in suffix:
              suffix += ":"
          scope = (scope or "") + ".*" + suffix
      return tf.compat.v1.get_collection(collection, scope)
  
imports: import tensorflow
label_desc: Use image node_id 1 for calling a global function with example usage: _get_variables(scope, suffix, collection) and returns: tf