class_docstr: A ConvAddReLU2d module is a fused module of Conv2d, Add and Relu
  
  We adopt the same interface as :class:`torch.ao.nn.quantized.Conv2d`.
  
  Attributes:
      Same as torch.ao.nn.quantized.Conv2d
class_docstr_tok: ["A","ConvAddReLU2d","module","is","a","fused","module","of","Conv2d",",","Add","and","Relu","We","adopt","the","same","interface","as",":","class",":","`","torch.ao.nn.quantized.Conv2d","`",".","Attributes",":","Same","as","torch.ao.nn.quantized.Conv2d"]
code: def _get_name(self):
      return "QuantizedConvAddReLU2d"
  
file_path: pytorch/torch/ao/nn/intrinsic/quantized/modules/conv_add.py
imports: import torch
  import torch.ao.nn.intrinsic
  import torch.ao.nn.intrinsic.qat
  import torch.nn.functional
  import torch.ao.nn.quantized
label_desc: Use image node_id 3 for calling the ConvAddReLU2d obj's underlying member method code with example usage: obj._get_name() and returns: str