code: def convert_sparkml_vector_assembler(operator, device, extra_config):
      """
      Converter for `pyspark.ml.feature.VectorAssembler`
  
      Args:
          operator: An operator wrapping a `pyspark.ml.feature.VectorAssembler`
          device: String defining the type of device the converted operator should be run on
          extra_config: Extra configuration used to select the best conversion strategy
  
      Returns:
          A PyTorch model
      """
  
      return Concat(operator)
  
imports: import torch
  import numpy
  from onnxconverter_common.topology import Variable
  from onnxconverter_common.registration import register_converter
  from .._physical_operator import PhysicalOperator
  from .._pipeline_implementations import Concat
label_desc: Use image node_id 1 for calling a global function with example usage: convert_sparkml_vector_assembler(operator, device, extra_config) and returns: Concat