wehub-resource-sync
101 lines
3.3 KiB
Python
101 lines
3.3 KiB
Python
# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ==============================================================================
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"""Tests for base_delegate."""
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import os
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from absl.testing import parameterized
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from tensorflow.python.checkpoint import checkpoint as util
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from tensorflow.python.checkpoint import checkpoint_options
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from tensorflow.python.eager import test
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from tensorflow.python.framework import test_util
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from tensorflow.python.ops import variables as variables_lib
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from tensorflow.python.saved_model import load
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from tensorflow.python.saved_model import save
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from tensorflow.python.trackable import base
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from tensorflow.python.trackable import base_delegate
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class Inner(base.Trackable):
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def __init__(self, v):
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self.v = v
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self._track_trackable(v, "v")
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def _copy_trackable_to_cpu(self, object_map):
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if self not in object_map:
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object_map[self] = Inner(self.v)
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self.v._copy_trackable_to_cpu(object_map)
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class Wrapper(base_delegate.DelegatingTrackableMixin, base.Trackable):
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def __init__(self, inner):
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self.inner = inner
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super(Wrapper, self).__init__(inner)
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@property
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def v(self):
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return self.inner.v
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@test_util.run_all_in_graph_and_eager_modes
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class BaseDelegateTest(parameterized.TestCase, test.TestCase):
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@parameterized.named_parameters(
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("_enable_async_ckpt", True),
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("_disable_async_ckpt", False)
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)
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def test_checkpoint(self, enable_async_ckpt):
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a = Wrapper(Inner(variables_lib.Variable(15.0)))
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b = Wrapper(Inner(variables_lib.Variable(-15.0)))
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self.evaluate([a.v.initializer, b.v.initializer])
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test_dir = self.get_temp_dir()
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prefix = os.path.join(test_dir, "ckpt")
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ckpt = util.Checkpoint(a=a, b=b)
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ckpt_options = checkpoint_options.CheckpointOptions(
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experimental_enable_async_checkpoint=enable_async_ckpt)
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prefix_tensor = ckpt.save(prefix, options=ckpt_options)
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self.assertEqual([15, -15], self.evaluate([a.v, b.v]))
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self.evaluate(a.v.assign(-3))
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self.evaluate(b.v.assign(12))
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self.assertEqual([-3, 12], self.evaluate([a.v, b.v]))
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# Test that the model can be saved with the wrapper and loaded without it.
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ckpt2 = util.Checkpoint(a=a.inner, b=b.inner)
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if enable_async_ckpt:
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ckpt.sync()
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ckpt2.restore(prefix_tensor).assert_consumed().run_restore_ops()
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self.assertEqual([15, -15], self.evaluate([a.v, b.v]))
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def test_saved_model(self):
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a = Wrapper(Inner(variables_lib.Variable(-15.0)))
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self.evaluate([a.v.initializer])
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self.assertEqual([-15], self.evaluate([a.v]))
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test_dir = self.get_temp_dir()
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saved_model_path = os.path.join(test_dir, "saved_model")
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save.save(a, saved_model_path)
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loaded = load.load(saved_model_path)
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self.evaluate([loaded.v.initializer])
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self.assertEqual([-15], self.evaluate([loaded.v]))
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if __name__ == "__main__":
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test.main()
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