code: def run_bias_add_ds(activations, bias):
      global inference_module
      if inference_module is None:
          inference_module = InferenceBuilder().load()
      if activations.dtype == torch.float16:
          return inference_module.bias_add_fp16(activations, bias)
      else:
          return inference_module.bias_add_fp32(activations, bias)
  
imports: import pytest
  import torch
  import deepspeed
  from deepspeed.ops.op_builder import InferenceBuilder
label_desc: Use image node_id 3 for calling a global function with example usage: run_bias_add_ds(activations, bias) and returns: inference_module, inference_module