class_docstr: Basic conv bn pool layer.
code: def forward(self, x: paddle.Tensor) -> paddle.Tensor:
      x = self.conv(x)
      x = F.relu(x)
      x = F.pool2d(x, pool_size=2, pool_type="max", pool_stride=2)
      return x
  
imports: import os
  from typing import Tuple
  import paddle
  import paddle.nn
  import paddle.nn.functional
label_desc: Use image node_id 2 for calling the ConvReLUPool obj's underlying member method code with example usage: obj.forward(x) and returns: x