class_docstr: Model provides an Estimator-like API similar to Keras.
code: def pred_step(
      self: M,
      inputs: tp.Any,
  ) -> PredStepOutput[M]:
      model: M = self
  
      if model.module is None:
          raise types.MissingModule(
              "Trying to run default `pred_step` on a Model with no `module`, try overriding `pred_step` or set `module`"
          )
  
      inputs_obj = tx.Inputs.from_value(inputs)
  
      preds = model.module(*inputs_obj.args, **inputs_obj.kwargs)
  
      return preds, model
  
imports: import typing
  import flax
  import jax
  import jax.numpy
  import numpy
  import treex
  from optax import GradientTransformation
  from elegy import types, utils
  from elegy.model.model_base import ModelBase
  from elegy.model.model_core import GradStepOutput, PredStepOutput, TestStepOutput, TrainStepOutput
label_desc: Use image node_id 6 for calling the Model obj's underlying member method code with example usage: obj.pred_step(inputs) and returns: preds,  model