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)
Args:
serving_input_fn
: A function that takes no arguments and returns anInputFnOps
.default_output_alternative_key
: the name of the head to serve when an incoming serving request does not explicitly request a specific head. Must beNone
if the estimator inherits fromtf.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 theGraphDef
will be stripped on write. This is recommended for better forward compatibility of the resultingSavedModel
.
Returns:
An ExportStrategy that can be passed to the Experiment constructor.