class_docstr: ResNet stem for ImageNet: 7x7, BN, ReLU, MaxPool.
class_docstr_tok: ["ResNet","stem","for","ImageNet",":","7x7",",","BN",",","ReLU",",","MaxPool","."]
code: def __init__(self, w_in, w_out):
      super().__init__()
      self.conv = nn.Conv2d(
          w_in, w_out, 7, stride=2, padding=3, bias=False
      )
      self.bn = nn.BatchNorm2d(w_out, eps=BN_EPS, momentum=BN_MOM)
      self.relu = nn.ReLU(RELU_INPLACE)
      self.pool = nn.MaxPool2d(3, stride=2, padding=1)
  
imports: import torch
  from torch import nn
label_desc: Use image node_id 1 to create a new ResStemIN object from inherited base classes: nn with example: obj = ResStemIN(w_in, w_out)