parameters: (input_graph_def, inputs, outputs, transforms)
return_statement: return output_graph_def
docstring: Python wrapper for the Graph Transform Tool.
  
    Gives access to all graph transforms available through the command line tool.
    See documentation at https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/graph_transforms/README.md
    for full details of the options available.
  
    Args:
      input_graph_def: GraphDef object containing a model to be transformed.
      inputs: List of node names for the model inputs.
      outputs: List of node names for the model outputs.
      transforms: List of strings containing transform names and parameters.
  
    Returns:
      New GraphDef with transforms applied.
docstring_summary: Python wrapper for the Graph Transform Tool.
docstring_tokens: Python wrapper for the Graph Transform Tool .
function: def DecentQTransform(input_graph_def, inputs, outputs, transforms):
    """Python wrapper for the Graph Transform Tool.
  
    Gives access to all graph transforms available through the command line tool.
    See documentation at https://github.com/tensorflow/tensorflow/blob/master/tensorflow/tools/graph_transforms/README.md
    for full details of the options available.
  
    Args:
      input_graph_def: GraphDef object containing a model to be transformed.
      inputs: List of node names for the model inputs.
      outputs: List of node names for the model outputs.
      transforms: List of strings containing transform names and parameters.
  
    Returns:
      New GraphDef with transforms applied.
    """
  
    input_graph_def_string = input_graph_def.SerializeToString()
    inputs_string = compat.as_bytes(",".join(inputs))
    outputs_string = compat.as_bytes(",".join(outputs))
    transforms_string = compat.as_bytes(" ".join(transforms))
    with errors.raise_exception_on_not_ok_status() as status:
      output_graph_def_string = DecentQTransformWithStringInputs(
          input_graph_def_string, inputs_string, outputs_string,
          transforms_string, status)
    output_graph_def = graph_pb2.GraphDef()
    output_graph_def.ParseFromString(output_graph_def_string)
    return output_graph_def
function_tokens: def DecentQTransform ( input_graph_def , inputs , outputs , transforms ) : input_graph_def_string = input_graph_def . SerializeToString ( ) inputs_string = compat . as_bytes ( "," . join ( inputs ) ) outputs_string = compat . as_bytes ( "," . join ( outputs ) ) transforms_string = compat . as_bytes ( " " . join ( transforms ) ) with errors . raise_exception_on_not_ok_status ( ) as status : output_graph_def_string = DecentQTransformWithStringInputs ( input_graph_def_string , inputs_string , outputs_string , transforms_string , status ) output_graph_def = graph_pb2 . GraphDef ( ) output_graph_def . ParseFromString ( output_graph_def_string ) return output_graph_def