code: def __call__(self, x):
      out = [
          self.bbox_reg(feat.sequential(self.conv))
          .permute(0, 2, 3, 1)
          .reshape(feat.shape[0], -1, 4)
          for feat in x
      ]
      return out[0].cat(*out[1:], dim=1)
  
imports: import math
  from tinygrad.helpers import flatten, get_child
  import tinygrad.nn
  from extra.models.resnet import ResNet
  import numpy
label_desc: Use image node_id 2 for calling the RegressionHead obj's underlying member method code with example usage: obj.__call__(x) and returns: out