code: def __call__(self, input):
      x = input.reshape(shape=(-1, self.inp, self.w, self.h))
      for cweight, cbias in zip(self.cweights, self.cbiases):
          x = (
              x.pad2d(padding=[1, 1, 1, 1])
              .conv2d(cweight)
              .add(cbias)
              .relu()
          )
      x = self._bn(x)
      x = self._seb(x)
      return x
  
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 2 for calling the ConvBlock obj's underlying member method code with example usage: obj.__call__(input) and returns: x