parameters: (self,
               export_dir,
               input_fn=export._default_input_fn,  # pylint: disable=protected-access
               input_feature_key=None,
               use_deprecated_input_fn=True,
               signature_fn=None,
               prediction_key=None,
               default_batch_size=1,
               exports_to_keep=None)
return_statement: return export._export_estimator(
          estimator=self,
          export_dir=export_dir,
          signature_fn=signature_fn,
          prediction_key=prediction_key,
          input_fn=input_fn,
          input_feature_key=input_feature_key,
          use_deprecated_input_fn=use_deprecated_input_fn,
          default_batch_size=default_batch_size,
          exports_to_keep=exports_to_keep)
docstring: Exports inference graph into given dir.
  
      Args:
        export_dir: A string containing a directory to write the exported graph
          and checkpoints.
        input_fn: If `use_deprecated_input_fn` is true, then a function that given
          `Tensor` of `Example` strings, parses it into features that are then
          passed to the model. Otherwise, a function that takes no argument and
          returns a tuple of (features, targets), where features is a dict of
          string key to `Tensor` and targets is a `Tensor` that's currently not
          used (and so can be `None`).
        input_feature_key: Only used if `use_deprecated_input_fn` is false. String
          key into the features dict returned by `input_fn` that corresponds toa 
          the raw `Example` strings `Tensor` that the exported model will take as
          input. Can only be `None` if you're using a custom `signature_fn` that
          does not use the first arg (examples).
        use_deprecated_input_fn: Determines the signature format of `input_fn`.
        signature_fn: Function that returns a default signature and a named
          signature map, given `Tensor` of `Example` strings, `dict` of `Tensor`s
          for features and `Tensor` or `dict` of `Tensor`s for predictions.
        prediction_key: The key for a tensor in the `predictions` dict (output
          from the `model_fn`) to use as the `predictions` input to the
          `signature_fn`. Optional. If `None`, predictions will pass to
          `signature_fn` without filtering.
        default_batch_size: Default batch size of the `Example` placeholder.
        exports_to_keep: Number of exports to keep.
  
      Returns:
        The string path to the exported directory. NB: this functionality was
        added ca. 2016/09/25; clients that depend on the return value may need
        to handle the case where this function returns None because subclasses
        are not returning a value.
docstring_summary: Exports inference graph into given dir.
docstring_tokens: Exports inference graph into given dir .
function: def export(self,
               export_dir,
               input_fn=export._default_input_fn,  # pylint: disable=protected-access
               input_feature_key=None,
               use_deprecated_input_fn=True,
               signature_fn=None,
               prediction_key=None,
               default_batch_size=1,
               exports_to_keep=None):
      """Exports inference graph into given dir.
  
      Args:
        export_dir: A string containing a directory to write the exported graph
          and checkpoints.
        input_fn: If `use_deprecated_input_fn` is true, then a function that given
          `Tensor` of `Example` strings, parses it into features that are then
          passed to the model. Otherwise, a function that takes no argument and
          returns a tuple of (features, targets), where features is a dict of
          string key to `Tensor` and targets is a `Tensor` that's currently not
          used (and so can be `None`).
        input_feature_key: Only used if `use_deprecated_input_fn` is false. String
          key into the features dict returned by `input_fn` that corresponds toa 
          the raw `Example` strings `Tensor` that the exported model will take as
          input. Can only be `None` if you're using a custom `signature_fn` that
          does not use the first arg (examples).
        use_deprecated_input_fn: Determines the signature format of `input_fn`.
        signature_fn: Function that returns a default signature and a named
          signature map, given `Tensor` of `Example` strings, `dict` of `Tensor`s
          for features and `Tensor` or `dict` of `Tensor`s for predictions.
        prediction_key: The key for a tensor in the `predictions` dict (output
          from the `model_fn`) to use as the `predictions` input to the
          `signature_fn`. Optional. If `None`, predictions will pass to
          `signature_fn` without filtering.
        default_batch_size: Default batch size of the `Example` placeholder.
        exports_to_keep: Number of exports to keep.
  
      Returns:
        The string path to the exported directory. NB: this functionality was
        added ca. 2016/09/25; clients that depend on the return value may need
        to handle the case where this function returns None because subclasses
        are not returning a value.
      """
      # pylint: disable=protected-access
      return export._export_estimator(
          estimator=self,
          export_dir=export_dir,
          signature_fn=signature_fn,
          prediction_key=prediction_key,
          input_fn=input_fn,
          input_feature_key=input_feature_key,
          use_deprecated_input_fn=use_deprecated_input_fn,
          default_batch_size=default_batch_size,
          exports_to_keep=exports_to_keep)
function_tokens: def export ( self , export_dir , input_fn = export . _default_input_fn , # pylint: disable=protected-access input_feature_key = None , use_deprecated_input_fn = True , signature_fn = None , prediction_key = None , default_batch_size = 1 , exports_to_keep = None ) : # pylint: disable=protected-access return export . _export_estimator ( estimator = self , export_dir = export_dir , signature_fn = signature_fn , prediction_key = prediction_key , input_fn = input_fn , input_feature_key = input_feature_key , use_deprecated_input_fn = use_deprecated_input_fn , default_batch_size = default_batch_size , exports_to_keep = exports_to_keep )