chore: import upstream snapshot with attribution
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wehub-resource-sync
2026-07-13 12:14:16 +08:00
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# Copyright 2022 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""Utilities for SavedModel fingerprinting.
This module contains utility classes and functions for working with the
SavedModel fingerprint.
"""
from absl import logging
from tensorflow.core.config import flags
from tensorflow.core.protobuf import fingerprint_pb2
from tensorflow.python.lib.io import file_io
from tensorflow.python.saved_model import fingerprinting
from tensorflow.python.saved_model.pywrap_saved_model import constants
from tensorflow.python.saved_model.pywrap_saved_model import fingerprinting as fingerprinting_pywrap
from tensorflow.python.saved_model.pywrap_saved_model import metrics
from tensorflow.python.util import compat
FingerprintException = fingerprinting_pywrap.FingerprintException
def write_fingerprint(export_dir: str) -> None:
"""Write fingerprint protobuf, if requested.
Writes a `tf.saved_model.experimental.Fingerprint` object to a
`fingerprint.pb` file in the `export_dir` using the `saved_model.pb` file
contained in `export_dir`.
Args:
export_dir: The directory in which to write the fingerprint.
"""
if flags.config().saved_model_fingerprinting.value():
fingerprint_path = file_io.join(
compat.as_str(export_dir),
compat.as_str(constants.FINGERPRINT_FILENAME))
logging.info("Writing fingerprint to %s", fingerprint_path)
try:
fingerprint_serialized = fingerprinting_pywrap.CreateFingerprintDef(
export_dir)
except FingerprintException as e:
raise ValueError(e) from None
file_io.atomic_write_string_to_file(fingerprint_path,
fingerprint_serialized)
metrics.SetWriteFingerprint(fingerprint=fingerprint_serialized)
try:
metrics.SetWritePathAndSingleprint(
path=export_dir,
singleprint=singleprint_from_fingerprint_proto(export_dir))
except metrics.MetricException:
logging.info("path_and_singleprint metric could not be set. "
"Model saving will continue.")
def singleprint_from_saved_model_proto(export_dir: str) -> str:
"""Returns the singleprint of `saved_model.pb` in `export_dir`.
Args:
export_dir: The directory that contains `saved_model.pb`.
Returns:
A string containing the singleprint of `saved_model.pb` in `export_dir`.
Raises:
ValueError: If a valid singleprint cannot be constructed from
`saved_model.pb`.
"""
try:
return fingerprinting_pywrap.SingleprintFromSM(export_dir)
except FingerprintException as e:
raise ValueError(e) from None
def singleprint_from_fingerprint_proto(export_dir: str) -> str:
"""Returns the singleprint of `fingerprint.pb` in `export_dir`.
Args:
export_dir: The directory that contains `fingerprint.pb`.
Returns:
A string containing the singleprint of `fingerprint.pb` in `export_dir`.
Raises:
ValueError: If a valid singleprint cannot be constructed from
`fingerprint.pb`.
"""
try:
return fingerprinting_pywrap.SingleprintFromFP(export_dir)
except FingerprintException as e:
raise ValueError(e) from None
def singleprint_from_saved_model(export_dir: str) -> str:
"""Returns the singleprint of the SavedModel in `export_dir`.
First tries to construct the singleprint from `fingerprint.pb`, then from
`saved_model.pb`. Attempts to write the `fingerprint.pb` if not found, but
doesn't return an error if it isn't writeable.
Args:
export_dir: The directory that contains the SavedModel.
Returns:
A string containing the singleprint of the SavedModel in `export_dir`.
Raises:
ValueError: If a valid singleprint cannot be constructed from the
SavedModel.
"""
# try generating the singleprint from `fingerprint.pb`
try:
return singleprint_from_fingerprint_proto(export_dir)
except ValueError:
pass
# try creating `fingerprint.pb`, then generating the singleprint
try:
write_fingerprint(export_dir)
return singleprint_from_fingerprint_proto(export_dir)
except ValueError:
pass
# try generating the singleprint from `saved_model.pb`
try:
return singleprint_from_saved_model_proto(export_dir)
except ValueError as e:
raise ValueError(e) from None
def to_proto(
fingerprint: fingerprinting.Fingerprint) -> fingerprint_pb2.FingerprintDef:
return fingerprint_pb2.FingerprintDef(
saved_model_checksum=fingerprint.saved_model_checksum,
graph_def_program_hash=fingerprint.graph_def_program_hash,
signature_def_hash=fingerprint.signature_def_hash,
saved_object_graph_hash=fingerprint.saved_object_graph_hash,
checkpoint_hash=fingerprint.checkpoint_hash)