Constructs a Predictor
from a SavedModel
on disk.
tf.contrib.predictor.from_saved_model(
export_dir, signature_def_key=None, signature_def=None, input_names=None,
output_names=None, tags=None, graph=None, config=None
)
Args |
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.
input_names: A dictionary mapping strings to Tensor s in the SavedModel
that represent the input. The keys can be any string of the user's
choosing.
output_names: A dictionary mapping strings to Tensor s in the
SavedModel that represent the output. The keys can be any string of
the user's choosing.
|
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.
|
config
|
ConfigProto proto used to configure the session.
|
Returns |
An initialized Predictor .
|
Raises |
ValueError
|
More than one of signature_def_key and signature_def is
specified.
|