class_docstr: Wrapper for a Linear class that returns its own bias parameter, such as
  used by Megatron-LM.
class_docstr_tok: ["Wrapper","for","a","Linear","class","that","returns","its","own","bias","parameter",",","such","as","used","by","Megatron-LM","."]
code: def _combine_output_splits(self, outputs):
      # stack output tensors
      tensors = [o[0] for o in outputs]
      tensor = super()._combine_output_splits(tensors)
  
      # stack biases if applicable
      biases = [o[1] for o in outputs if o[1] is not None]
      if len(biases) > 0:
          bias = super()._combine_output_splits(biases)
      else:
          bias = None
  
      return tensor, bias
  
file_path: DeepSpeed/deepspeed/runtime/zero/tiling.py
imports: import torch
  import deepspeed
  from deepspeed.runtime.utils import partition_uniform
label_desc: Use image node_id 2 for calling the TiledLinearReturnBias obj's underlying member method code with example usage: obj._combine_output_splits(outputs) and returns: tensor,  bias