tf.contrib.learn.make_export_strategy

tf.contrib.learn.make_export_strategy(
    serving_input_fn,
    default_output_alternative_key=None,
    assets_extra=None,
    as_text=False,
    exports_to_keep=5,
    strip_default_attrs=None
)

Defined in tensorflow/contrib/learn/python/learn/utils/saved_model_export_utils.py.

Create an ExportStrategy for use with Experiment. (deprecated)

THIS FUNCTION IS DEPRECATED. It will be removed in a future version. Instructions for updating: Switch to tf.estimator.Exporter and associated utilities.

Args:

• serving_input_fn: A function that takes no arguments and returns an InputFnOps.
• default_output_alternative_key: the name of the head to serve when an incoming serving request does not explicitly request a specific head. Must be None if the estimator inherits from tf.estimator.Estimator or for single-headed models.
• assets_extra: A dict specifying how to populate the assets.extra directory within the exported SavedModel. Each key should give the destination path (including the filename) relative to the assets.extra directory. The corresponding value gives the full path of the source file to be copied. For example, the simple case of copying a single file without renaming it is specified as {'my_asset_file.txt': '/path/to/my_asset_file.txt'}.
• as_text: whether to write the SavedModel proto in text format.
• exports_to_keep: Number of exports to keep. Older exports will be garbage-collected. Defaults to 5. Set to None to disable garbage collection.
• strip_default_attrs: Boolean. If True, default attrs in the GraphDef will be stripped on write. This is recommended for better forward compatibility of the resulting SavedModel.

Returns:

An ExportStrategy that can be passed to the Experiment constructor.