code: def __init__(self, in_channels, out_channels):
      self.p6 = nn.Conv2d(
          in_channels, out_channels, kernel_size=3, stride=2, padding=1
      )
      self.p7 = nn.Conv2d(
          out_channels, out_channels, kernel_size=3, stride=2, padding=1
      )
      self.use_P5 = in_channels == out_channels
  
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 1 to create a new ExtraFPNBlock object  with example: obj = ExtraFPNBlock(in_channels, out_channels)