code: def __call__(self, x):
      last_inner = self.inner_blocks[-1](x[-1])
      results = [self.layer_blocks[-1](last_inner)]
      for idx in range(len(x) - 2, -1, -1):
          inner_lateral = self.inner_blocks[idx](x[idx])
  
          # upsample to inner_lateral's shape
          (ih, iw), (oh, ow), prefix = (
              last_inner.shape[-2:],
              inner_lateral.shape[-2:],
              last_inner.shape[:-2],
          )
          eh, ew = math.ceil(oh / ih), math.ceil(ow / iw)
          inner_top_down = (
              last_inner.reshape(*prefix, ih, 1, iw, 1)
              .expand(*prefix, ih, eh, iw, ew)
              .reshape(*prefix, ih * eh, iw * ew)[:, :, :oh, :ow]
          )
  
          last_inner = inner_lateral + inner_top_down
          results.insert(0, self.layer_blocks[idx](last_inner))
      if self.extra_blocks is not None:
          results = self.extra_blocks(results, x)
      return results
  
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 FPN obj's underlying member method code with example usage: obj.__call__(x) and returns: results