diff options
Diffstat (limited to 'tensorflow/python/saved_model/builder_impl.py')
| -rw-r--r-- | tensorflow/python/saved_model/builder_impl.py | 76 |
1 files changed, 40 insertions, 36 deletions
diff --git a/tensorflow/python/saved_model/builder_impl.py b/tensorflow/python/saved_model/builder_impl.py index e58be804c2..8c985a7c2f 100644 --- a/tensorflow/python/saved_model/builder_impl.py +++ b/tensorflow/python/saved_model/builder_impl.py @@ -34,6 +34,7 @@ from tensorflow.python.platform import tf_logging from tensorflow.python.saved_model import constants from tensorflow.python.training import saver as tf_saver from tensorflow.python.util import compat +from tensorflow.python.util.deprecation import deprecated_args from tensorflow.python.util.tf_export import tf_export @@ -133,39 +134,32 @@ class SavedModelBuilder(object): tf_logging.info("Assets written to: %s", compat.as_text(assets_destination_dir)) - def _maybe_add_legacy_init_op(self, legacy_init_op=None): - """Add legacy init op to the SavedModel. + def _maybe_add_main_op(self, main_op): + """Adds main op to the SavedModel. Args: - legacy_init_op: Optional legacy init op to support backward compatibility. + main_op: Main op to run as part of graph initialization. If None, no + main op will be added to the graph. Raises: - TypeError if legacy init op is not of type `Operation`. - AssertionError if the graph already contains one or more legacy init ops. + TypeError: if main op is provided but is not of type `Operation`. + ValueError: if the Graph already contains an init op. """ - if legacy_init_op is not None: - if not isinstance(legacy_init_op, ops.Operation): - raise TypeError("legacy_init_op needs to be an Operation: %r" % - legacy_init_op) - if ops.get_collection(constants.LEGACY_INIT_OP_KEY): - raise AssertionError( - "graph already contains one or more legacy init ops under the " - "collection {}.".format(constants.LEGACY_INIT_OP_KEY)) - ops.add_to_collection(constants.LEGACY_INIT_OP_KEY, legacy_init_op) - - def _add_main_op(self, main_op): - """Add main op to the SavedModel. + if main_op is None: + return - Args: - main_op: Main op to run as part of graph initialization. + if not isinstance(main_op, ops.Operation): + raise TypeError("main_op needs to be an Operation: %r" % main_op) - Raises: - TypeError if main op is not of type `Operation`. - """ - if main_op is not None: - if not isinstance(main_op, ops.Operation): - raise TypeError("main_op needs to be an Operation: %r" % main_op) - ops.add_to_collection(constants.MAIN_OP_KEY, main_op) + # Validate that no other init ops have been added to this graph already. + # We check main_op and legacy_init_op for thoroughness and explicitness. + for init_op_key in (constants.MAIN_OP_KEY, constants.LEGACY_INIT_OP_KEY): + if ops.get_collection(init_op_key): + raise ValueError( + "Graph already contains one or more main ops under the " + "collection {}.".format(init_op_key)) + + ops.add_to_collection(constants.MAIN_OP_KEY, main_op) def _add_train_op(self, train_op): """Add train op to the SavedModel. @@ -257,16 +251,12 @@ class SavedModelBuilder(object): self._validate_tensor_info(outputs[outputs_key]) def _add_collections( - self, assets_collection, legacy_init_op, main_op, train_op): + self, assets_collection, main_op, train_op): """Add asset and op collections to be saved.""" # Save asset files and write them to disk, if any. self._save_and_write_assets(assets_collection) - if main_op is None: - # Add legacy init op to the SavedModel. - self._maybe_add_legacy_init_op(legacy_init_op) - else: - self._add_main_op(main_op) + self._maybe_add_main_op(main_op) self._add_train_op(train_op) @@ -282,6 +272,9 @@ class SavedModelBuilder(object): allow_empty=True) return saver + @deprecated_args(None, + "Pass your op to the equivalent parameter main_op instead.", + "legacy_init_op") def add_meta_graph(self, tags, signature_def_map=None, @@ -306,7 +299,7 @@ class SavedModelBuilder(object): that this collection should be a subset of the assets saved as part of the first meta graph in the SavedModel. legacy_init_op: Legacy support for op or group of ops to execute after the - restore op upon a load. + restore op upon a load. Deprecated; please use main_op instead. clear_devices: Set to true if the device info on the default graph should be cleared. main_op: Op or group of ops to execute when the graph is loaded. Note @@ -333,8 +326,12 @@ class SavedModelBuilder(object): # properly populated. self._validate_signature_def_map(signature_def_map) + # legacy_init_op is deprecated, and going away in TF 2.0. + # Re-mapping to main_op, as treatment is identical regardless. + main_op = main_op or legacy_init_op + # Add assets and ops - self._add_collections(assets_collection, legacy_init_op, main_op, None) + self._add_collections(assets_collection, main_op, None) saver = self._maybe_create_saver(saver) @@ -351,6 +348,9 @@ class SavedModelBuilder(object): # Tag the meta graph def and add it to the SavedModel. self._tag_and_add_meta_graph(meta_graph_def, tags, signature_def_map) + @deprecated_args(None, + "Pass your op to the equivalent parameter main_op instead.", + "legacy_init_op") def add_meta_graph_and_variables(self, sess, tags, @@ -378,7 +378,7 @@ class SavedModelBuilder(object): def. assets_collection: Assets collection to be saved with SavedModel. legacy_init_op: Legacy support for op or group of ops to execute after the - restore op upon a load. + restore op upon a load. Deprecated; please use main_op instead. clear_devices: Set to true if the device info on the default graph should be cleared. main_op: Op or group of ops to execute when the graph is loaded. Note @@ -402,8 +402,12 @@ class SavedModelBuilder(object): # properly populated. self._validate_signature_def_map(signature_def_map) + # legacy_init_op is deprecated, and going away in TF 2.0. + # Re-mapping to main_op, as treatment is identical regardless. + main_op = main_op or legacy_init_op + # Add assets and ops - self._add_collections(assets_collection, legacy_init_op, main_op, None) + self._add_collections(assets_collection, main_op, None) # Create the variables sub-directory, if it does not exist. variables_dir = os.path.join( |