code: def variableTransformer(
      self, batchSize, posPerBatch, negPerBatch=None
  ):
      if not negPerBatch == None:
          return (
              np.arange(batchSize * posPerBatch).reshape(
                  batchSize, posPerBatch
              ),
              np.arange(
                  start=batchSize * posPerBatch,
                  stop=batchSize * posPerBatch
                  + batchSize * negPerBatch,
              ).reshape(batchSize, negPerBatch),
          )
      else:
          return np.arange(batchSize * posPerBatch).reshape(
              batchSize, posPerBatch
          )
  
imports: import torch
  import os
  import numpy
label_desc: Use image node_id 6 for calling the CPUPytorchModelFactory obj's underlying member method code with example usage: obj.variableTransformer(batchSize, posPerBatch, negPerBatch) and returns: np,  np, np