class_docstr: CNN model.
class_docstr_tok: ["CNN","model","."]
code: def setup(self) -> None:
      # Construct the model.
      super().setup()
      self.create_child("network", self.network_tpl)
  
imports: from typing import cast
  import jax
  import jax.numpy
  from paxml import base_experiment
  from paxml import base_task
  from paxml import experiment_registry
  from paxml import learners
  from paxml import tasks_lib
  from praxis import base_input
  from praxis import base_layer
  from praxis import base_model
  from praxis import optimizers
  from praxis import pax_fiddle
  from praxis import py_utils
  from praxis import pytypes
  from praxis import schedules
  from praxis.layers import activations
  from praxis.layers import convolutions
  from praxis.layers import linears
  from praxis.layers import poolings
  from pax_examples.dali_pax_input import MnistDaliInput
label_desc: Use image node_id 1 for calling the CNNModel obj's underlying member method code with example usage: obj.setup() without return types