code: def backward(ctx, grad_output):
      bwd_args = [*ctx.saved_tensors, grad_output]
      padding = ctx.padding
      stride = ctx.stride
      grads = fused_conv_bias_relu.backward(bwd_args, padding, stride)
  
      return grads[0], grads[1], grads[2], None, None, None
  
imports: import pdb
  import torch
  from torch.autograd import gradcheck
  from apex import check_cudnn_version_and_warn
  import fused_conv_bias_relu
label_desc: Use image node_id 2 for calling the ConvBiasMaskReLU_ obj's underlying member method code with example usage: obj.backward(ctx, grad_output) and returns: grads,  grads,  grads,  None,  None,  None