code: def forward(ctx, x, weight, bias, padding, stride):
      outputs = fused_conv_bias_relu.forward_no_relu(
          [x, weight, bias], padding, stride
      )
      ctx.save_for_backward(x, weight)
      ctx.padding = padding
      ctx.stride = stride
  
      return outputs[0]
  
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 1 for calling the ConvBias_ obj's underlying member method code with example usage: obj.forward(ctx, x, weight, bias, padding, stride) and returns: outputs