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