tf.contrib.predictor.from_saved_model( export_dir, signature_def_key=None, signature_def=None, tags=None, graph=None )
Defined in tensorflow/contrib/predictor/predictor_factories.py
.
Constructs a Predictor
from a SavedModel
on disk.
export_dir
: a path to a directory containing a SavedModel
.signature_def_key
: Optional string specifying the signature to use. If None
, then DEFAULT_SERVING_SIGNATURE_DEF_KEY
is used. Only one of signature_def_key
and signature_def
signature_def
: A SignatureDef
proto specifying the inputs and outputs for prediction. Only one of signature_def_key
and signature_def
should be specified.tags
: Optional. Tags that will be used to retrieve the correct SignatureDef
. Defaults to DEFAULT_TAGS
.graph
: Optional. The Tensorflow graph
in which prediction should be done.An initialized Predictor
.
ValueError
: More than one of signature_def_key
and signature_def
is specified.
© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/contrib/predictor/from_saved_model