code: def compute_grid_sizes(self, input_size):
      return np.ceil(
          np.array(input_size)[None, :] / 2 ** np.arange(3, 8)[:, None]
      )
  
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 ResNetFPN obj's underlying member method code with example usage: obj.compute_grid_sizes(input_size) and returns: np