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# Copyright 2015 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.
# =============================================================================
"""Utility classes for testing checkpointing."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.python.eager import context
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import ops as ops_lib
from tensorflow.python.ops import gen_lookup_ops
from tensorflow.python.training import saver as saver_module
class CheckpointedOp(object):
"""Op with a custom checkpointing implementation.
Defined as part of the test because the MutableHashTable Python code is
currently in contrib.
"""
# pylint: disable=protected-access
def __init__(self, name, table_ref=None):
if table_ref is None:
self.table_ref = gen_lookup_ops.mutable_hash_table_v2(
key_dtype=dtypes.string, value_dtype=dtypes.float32, name=name)
else:
self.table_ref = table_ref
self._name = name
if not context.executing_eagerly():
self._saveable = CheckpointedOp.CustomSaveable(self, name)
ops_lib.add_to_collection(ops_lib.GraphKeys.SAVEABLE_OBJECTS,
self._saveable)
@property
def name(self):
return self._name
@property
def saveable(self):
if context.executing_eagerly():
return CheckpointedOp.CustomSaveable(self, self.name)
else:
return self._saveable
def insert(self, keys, values):
return gen_lookup_ops.lookup_table_insert_v2(self.table_ref, keys, values)
def lookup(self, keys, default):
return gen_lookup_ops.lookup_table_find_v2(self.table_ref, keys, default)
def keys(self):
return self._export()[0]
def values(self):
return self._export()[1]
def _export(self):
return gen_lookup_ops.lookup_table_export_v2(self.table_ref, dtypes.string,
dtypes.float32)
class CustomSaveable(saver_module.BaseSaverBuilder.SaveableObject):
"""A custom saveable for CheckpointedOp."""
def __init__(self, table, name):
tensors = table._export()
specs = [
saver_module.BaseSaverBuilder.SaveSpec(tensors[0], "",
name + "-keys"),
saver_module.BaseSaverBuilder.SaveSpec(tensors[1], "",
name + "-values")
]
super(CheckpointedOp.CustomSaveable, self).__init__(table, specs, name)
def restore(self, restore_tensors, shapes):
return gen_lookup_ops.lookup_table_import_v2(
self.op.table_ref, restore_tensors[0], restore_tensors[1])
# pylint: enable=protected-access
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