61 lines
2.3 KiB
Python
61 lines
2.3 KiB
Python
# Copyright 2015 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 tensorflow.python.training.saver.py."""
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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import os
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from tensorflow.core.protobuf import saver_pb2
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from tensorflow.python.client import session
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from tensorflow.python.framework import constant_op
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from tensorflow.python.framework import dtypes
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from tensorflow.python.framework import errors_impl
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from tensorflow.python.framework import ops
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from tensorflow.python.ops import variables
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from tensorflow.python.platform import test
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from tensorflow.python.training import saver
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class SaverLargeVariableTest(test.TestCase):
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# NOTE: This is in a separate file from saver_test.py because the
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# large allocations do not play well with TSAN, and cause flaky
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# failures.
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def testLargeVariable(self):
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save_path = os.path.join(self.get_temp_dir(), "large_variable")
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with session.Session("", graph=ops.Graph()) as sess:
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# Declare a variable that is exactly 2GB. This should fail,
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# because a serialized checkpoint includes other header
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# metadata.
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with ops.device("/cpu:0"):
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var = variables.Variable(
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constant_op.constant(
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False, shape=[2, 1024, 1024, 1024], dtype=dtypes.bool))
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save = saver.Saver(
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{
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var.op.name: var
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}, write_version=saver_pb2.SaverDef.V1)
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var.initializer.run()
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with self.assertRaisesRegexp(errors_impl.InvalidArgumentError,
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"Tensor slice is too large to serialize"):
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save.save(sess, save_path)
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if __name__ == "__main__":
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test.main()
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