code: def __init__(self, filters):
      self.filters = filters
      self.weight1 = Tensor.scaled_uniform(
          self.filters, self.filters // 32
      )
      self.bias1 = Tensor.scaled_uniform(1, self.filters // 32)
      self.weight2 = Tensor.scaled_uniform(
          self.filters // 32, self.filters
      )
      self.bias2 = Tensor.scaled_uniform(1, self.filters)
  
imports: import sys
  import numpy
  from tinygrad.nn.state import get_parameters
  from tinygrad.tensor import Tensor
  from tinygrad.nn import BatchNorm2d, optim
  from tinygrad.helpers import getenv
  from extra.datasets import fetch_mnist
  from extra.augment import augment_img
  from extra.training import train, evaluate
label_desc: Use image node_id 1 to create a new SqueezeExciteBlock2D object  with example: obj = SqueezeExciteBlock2D(filters)