class_docstr: An operation that represents applying a SavedModel as a `beam.ParDo`.
  
  This operation represents applying a `SavedModel`, which is the input to this
  operation, to the input values.  The inputs values are not an input to this
  operation, but are provided to the implementation by
  `tensorflow_transform.beam.common.ConstructBeamPipelineVisitor.ExtraArgs`.
  
  The input should be a PCollection containing a single element which is the
  directory containing the SavedModel to be run.
  
  Attributes:
    phase: An integer which is the phase that this operation is run as part of.
    label: A unique label for this operation.
class_docstr_tok: ["An","operation","that","represents","applying","a","SavedModel","as","a","`","beam.ParDo","`",".","This","operation","represents","applying","a","`","SavedModel","`",",","which","is","the","input","to","this","operation",",","to","the","input","values",".","The","inputs","values","are","not","an","input","to","this","operation",",","but","are","provided","to","the","implementation","by","`","tensorflow_transform.beam.common.ConstructBeamPipelineVisitor.ExtraArgs","`",".","The","input","should","be","a","PCollection","containing","a","single","element","which","is","the","directory","containing","the","SavedModel","to","be","run",".","Attributes",":","phase",":","An","integer","which","is","the","phase","that","this","operation","is","run","as","part","of",".","label",":","A","unique","label","for","this","operation","."]
code: def is_partitionable(self):
      return True
  
imports: import tensorflow
  from tensorflow_transform import nodes
  from tfx_bsl.types import tfx_namedtuple
label_desc: Use image node_id 1 for calling the ApplySavedModel obj's underlying member method code with example usage: obj.is_partitionable() and returns: True