class_docstr: The standard ResNet stem (layers before the first residual block),
  with a conv, relu and max_pool.
class_docstr_tok: ["The","standard","ResNet","stem","(","layers","before","the","first","residual","block",")",",","with","a","conv",",","relu","and","max_pool","."]
code: def forward(self, x):
      x = self.conv1(x)
      x = F.relu_(x)
      x = F.max_pool2d(x, kernel_size=3, stride=2, padding=1)
      return x
  
imports: import numpy
  import fvcore.nn.weight_init
  import torch
  import torch.nn.functional
  from torch import nn
  from detectron2.layers import CNNBlockBase, Conv2d, DeformConv, ModulatedDeformConv, ShapeSpec, get_norm
  from .backbone import Backbone
  from .build import BACKBONE_REGISTRY
label_desc: Use image node_id 2 for calling the BasicStem obj's underlying member method code with example usage: obj.forward(x) and returns: x