Defined in tensorflow/_api/v1/saved_model/__init__.py.
Public API for tf.saved_model namespace.
Modules
builder module: SavedModel builder.
constants module: Constants for SavedModel save and restore operations.
experimental module: Public API for tf.saved_model.experimental namespace.
loader module: Loader functionality for SavedModel with hermetic, language-neutral exports.
main_op module: SavedModel main op.
signature_constants module: Signature constants for SavedModel save and restore operations.
signature_def_utils module: SignatureDef utility functions.
tag_constants module: Common tags used for graphs in SavedModel.
utils module: SavedModel utility functions.
Classes
class Builder: Builds the SavedModel protocol buffer and saves variables and assets.
Functions
build_signature_def(...): Utility function to build a SignatureDef protocol buffer.
build_tensor_info(...): Utility function to build TensorInfo proto from a Tensor. (deprecated)
classification_signature_def(...): Creates classification signature from given examples and predictions.
contains_saved_model(...): Checks whether the provided export directory could contain a SavedModel.
get_tensor_from_tensor_info(...): Returns the Tensor or SparseTensor described by a TensorInfo proto. (deprecated)
is_valid_signature(...): Determine whether a SignatureDef can be served by TensorFlow Serving.
load(...): Loads the model from a SavedModel as specified by tags. (deprecated)
main_op_with_restore(...): Returns a main op to init variables, tables and restore the graph. (deprecated)
maybe_saved_model_directory(...): Checks whether the provided export directory could contain a SavedModel.
predict_signature_def(...): Creates prediction signature from given inputs and outputs.
regression_signature_def(...): Creates regression signature from given examples and predictions.
simple_save(...): Convenience function to build a SavedModel suitable for serving. (deprecated)