code: def __call__(self, x):
      out = self.bn1(self.conv1(x)).relu()
      out = self.bn2(self.conv2(out))
      out = out + x.sequential(self.downsample)
      out = out.relu()
      return out
  
file_path: tinygrad/extra/models/resnet.py
imports: import tinygrad.nn
  from tinygrad.tensor import Tensor
  from tinygrad.nn.state import torch_load
  from tinygrad.helpers import fetch, get_child
label_desc: Use image node_id 2 for calling the BasicBlock obj's underlying member method code with example usage: obj.__call__(x) and returns: out