tf.contrib.predictor.from_saved_model

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.

tf.contrib.predictor.from_saved_model

Args

Returns

Raises