code: def backward(ctx, grad_output):
      input, bias, input_2, bias_2 = ctx.saved_tensors
      tmp, tmp2 = bias_geglu_back(
          grad_output, bias, input, bias_2, input_2
      )
      return tmp, tmp, tmp2, tmp2
  
file_path: NeMo/nemo/collections/nlp/modules/common/megatron/fused_bias_geglu.py
imports: import torch
  from nemo.collections.nlp.modules.common.megatron.fused_bias_gelu import bias_gelu, bias_gelu_back
label_desc: Use image node_id 2 for calling the GeGLUFunction obj's underlying member method code with example usage: obj.backward(ctx, grad_output) and returns: tmp,  tmp,  tmp2,  tmp2