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# Copyright 2017 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.
# ==============================================================================
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import numpy
import six
from tensorflow.python.framework import test_util
from tensorflow.python.keras.engine import training
from tensorflow.python.ops import array_ops
from tensorflow.python.platform import test
from tensorflow.python.training.checkpointable import base
from tensorflow.python.training.checkpointable import data_structures
from tensorflow.python.training.checkpointable import tracking
from tensorflow.python.training.checkpointable import util
from tensorflow.python.util import nest
class InterfaceTests(test.TestCase):
def testMultipleAssignment(self):
root = tracking.Checkpointable()
root.leaf = tracking.Checkpointable()
root.leaf = root.leaf
duplicate_name_dep = tracking.Checkpointable()
with self.assertRaisesRegexp(ValueError, "already declared"):
root._track_checkpointable(duplicate_name_dep, name="leaf")
# No error; we're overriding __setattr__, so we can't really stop people
# from doing this while maintaining backward compatibility.
root.leaf = duplicate_name_dep
root._track_checkpointable(duplicate_name_dep, name="leaf", overwrite=True)
self.assertIs(duplicate_name_dep, root._lookup_dependency("leaf"))
(_, dep_object), = root._checkpoint_dependencies
self.assertIs(duplicate_name_dep, dep_object)
def testNoDependency(self):
root = tracking.Checkpointable()
hasdep = tracking.Checkpointable()
root.hasdep = hasdep
nodep = tracking.Checkpointable()
root.nodep = data_structures.NoDependency(nodep)
self.assertEqual(1, len(root._checkpoint_dependencies))
self.assertIs(root._checkpoint_dependencies[0].ref, root.hasdep)
self.assertIs(root.hasdep, hasdep)
self.assertIs(root.nodep, nodep)
class NoDependencyModel(training.Model):
@base.no_automatic_dependency_tracking
def __init__(self):
super(NoDependencyModel, self).__init__()
self.a = []
self.b = tracking.Checkpointable()
nodeps = NoDependencyModel()
self.assertEqual([nodeps], util.list_objects(nodeps))
def testListBasic(self):
a = tracking.Checkpointable()
b = tracking.Checkpointable()
a.l = [b]
c = tracking.Checkpointable()
a.l.append(c)
a_deps = util.list_objects(a)
self.assertIn(b, a_deps)
self.assertIn(c, a_deps)
direct_a_dep, = a._checkpoint_dependencies
self.assertEqual("l", direct_a_dep.name)
self.assertIn(b, direct_a_dep.ref)
self.assertIn(c, direct_a_dep.ref)
@test_util.run_in_graph_and_eager_modes
def testMutationDirtiesList(self):
a = tracking.Checkpointable()
b = tracking.Checkpointable()
a.l = [b]
c = tracking.Checkpointable()
a.l.insert(0, c)
checkpoint = util.Checkpoint(a=a)
with self.assertRaisesRegexp(ValueError, "A list element was replaced"):
checkpoint.save(os.path.join(self.get_temp_dir(), "ckpt"))
@test_util.run_in_graph_and_eager_modes
def testOutOfBandEditDirtiesList(self):
a = tracking.Checkpointable()
b = tracking.Checkpointable()
held_reference = [b]
a.l = held_reference
c = tracking.Checkpointable()
held_reference.append(c)
checkpoint = util.Checkpoint(a=a)
with self.assertRaisesRegexp(ValueError, "The wrapped list was modified"):
checkpoint.save(os.path.join(self.get_temp_dir(), "ckpt"))
@test_util.run_in_graph_and_eager_modes
def testNestedLists(self):
a = tracking.Checkpointable()
a.l = []
b = tracking.Checkpointable()
a.l.append([b])
c = tracking.Checkpointable()
a.l[0].append(c)
a_deps = util.list_objects(a)
self.assertIn(b, a_deps)
self.assertIn(c, a_deps)
a.l[0].append(1)
d = tracking.Checkpointable()
a.l[0].append(d)
a_deps = util.list_objects(a)
self.assertIn(d, a_deps)
self.assertIn(b, a_deps)
self.assertIn(c, a_deps)
self.assertNotIn(1, a_deps)
e = tracking.Checkpointable()
f = tracking.Checkpointable()
a.l1 = [[], [e]]
a.l1[0].append(f)
a_deps = util.list_objects(a)
self.assertIn(e, a_deps)
self.assertIn(f, a_deps)
checkpoint = util.Checkpoint(a=a)
checkpoint.save(os.path.join(self.get_temp_dir(), "ckpt"))
a.l[0].append(data_structures.NoDependency([]))
a.l[0][-1].append(5)
checkpoint.save(os.path.join(self.get_temp_dir(), "ckpt"))
# Dirtying the inner list means the root object is unsaveable.
a.l[0][1] = 2
with self.assertRaisesRegexp(ValueError, "A list element was replaced"):
checkpoint.save(os.path.join(self.get_temp_dir(), "ckpt"))
@test_util.run_in_graph_and_eager_modes
def testDictionariesBasic(self):
a = training.Model()
b = training.Model()
a.attribute = {"b": b}
c = training.Model()
a.attribute["c"] = []
a.attribute["c"].append(c)
a_deps = util.list_objects(a)
self.assertIn(b, a_deps)
self.assertIn(c, a_deps)
self.assertIs(b, a.attribute["b"])
six.assertCountEqual(
self,
["b", "c"],
[dep.name for dep in a.attribute._checkpoint_dependencies])
self.assertEqual([b, c], a.layers)
self.assertEqual([b, c], a.attribute.layers)
self.assertEqual([c], a.attribute["c"].layers)
checkpoint = util.Checkpoint(a=a)
save_path = checkpoint.save(os.path.join(self.get_temp_dir(), "ckpt"))
checkpoint.restore(save_path).assert_consumed()
@test_util.run_in_graph_and_eager_modes
def testNoDepList(self):
a = training.Model()
a.l1 = data_structures.NoDependency([])
a.l1.insert(1, 0)
self.assertTrue(isinstance(a.l1, list))
checkpoint = util.Checkpoint(a=a)
checkpoint.save(os.path.join(self.get_temp_dir(), "ckpt"))
a.l2 = []
a.l2.insert(1, 0)
with self.assertRaisesRegexp(ValueError, "A list element was replaced"):
checkpoint.save(os.path.join(self.get_temp_dir(), "ckpt"))
@test_util.run_in_graph_and_eager_modes
def testAssertions(self):
a = tracking.Checkpointable()
a.l = {"k": [numpy.zeros([2, 2])]}
self.assertAllEqual(nest.flatten({"k": [numpy.zeros([2, 2])]}),
nest.flatten(a.l))
self.assertAllClose({"k": [numpy.zeros([2, 2])]}, a.l)
nest.map_structure(self.assertAllClose, a.l, {"k": [numpy.zeros([2, 2])]})
a.tensors = {"k": [array_ops.ones([2, 2]), array_ops.zeros([3, 3])]}
self.assertAllClose({"k": [numpy.ones([2, 2]), numpy.zeros([3, 3])]},
self.evaluate(a.tensors))
if __name__ == "__main__":
test.main()
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