class_docstr: Base class from which ticker tasks inherit.
docstr: Generate inputs, outputs numpy tensor pair of size appropriate for this minibatch.
  
  Arguments:
      time_steps (int): Number of time steps in this minibatch.
  
  Returns:
      tuple: (input, output) tuple of numpy arrays.
docstr_tok: ["Generate","inputs",",","outputs","numpy","tensor","pair","of","size","appropriate","for","this","minibatch",".","Arguments",":","time_steps","(","int",")",":","Number","of","time","steps","in","this","minibatch",".","Returns",":","tuple",":","(","input",",","output",")","tuple","of","numpy","arrays","."]
code: def fetch_io(self, time_steps):
      """
      Generate inputs, outputs numpy tensor pair of size appropriate for this minibatch.
  
      Arguments:
          time_steps (int): Number of time steps in this minibatch.
  
      Returns:
          tuple: (input, output) tuple of numpy arrays.
  
      """
      columns = time_steps * self.be.bsz
      inputs = np.zeros((self.nin, columns))
      outputs = np.zeros((self.nout, columns))
      return inputs, outputs
  
imports: import numpy
  from neon import NervanaObject
label_desc: Use image node_id 1 for calling the Task obj's underlying member method code with example usage: obj.fetch_io(time_steps) and returns: inputs,  outputs