102 lines
3.1 KiB
Python
102 lines
3.1 KiB
Python
# Copyright 2016 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 basic_loops.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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import shutil
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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.platform import test
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from tensorflow.python.training import basic_loops
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from tensorflow.python.training import supervisor
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def _test_dir(test_name):
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test_dir = os.path.join(test.get_temp_dir(), test_name)
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if os.path.exists(test_dir):
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shutil.rmtree(test_dir)
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return test_dir
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class BasicTrainLoopTest(test.TestCase):
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def testBasicTrainLoop(self):
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logdir = _test_dir("basic_train_loop")
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# Counts the number of calls.
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num_calls = [0]
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def train_fn(unused_sess, sv, y, a):
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num_calls[0] += 1
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self.assertEqual("y", y)
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self.assertEqual("A", a)
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if num_calls[0] == 3:
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sv.request_stop()
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with ops.Graph().as_default():
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sv = supervisor.Supervisor(logdir=logdir)
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basic_loops.basic_train_loop(
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sv, train_fn, args=(sv, "y"), kwargs={"a": "A"})
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self.assertEqual(3, num_calls[0])
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def testBasicTrainLoopExceptionAborts(self):
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logdir = _test_dir("basic_train_loop_exception_aborts")
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def train_fn(unused_sess):
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train_fn.counter += 1
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if train_fn.counter == 3:
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raise RuntimeError("Failed")
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# Function attribute use to count the number of calls.
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train_fn.counter = 0
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with ops.Graph().as_default():
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sv = supervisor.Supervisor(logdir=logdir)
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with self.assertRaisesRegex(RuntimeError, "Failed"):
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basic_loops.basic_train_loop(sv, train_fn)
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def testBasicTrainLoopRetryOnAborted(self):
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logdir = _test_dir("basic_train_loop_exception_aborts")
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class AbortAndRetry(object):
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def __init__(self):
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self.num_calls = 0
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self.retries_left = 2
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def train_fn(self, unused_sess):
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self.num_calls += 1
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if self.num_calls % 3 == 2:
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self.retries_left -= 1
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if self.retries_left > 0:
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raise errors_impl.AbortedError(None, None, "Aborted here")
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else:
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raise RuntimeError("Failed Again")
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with ops.Graph().as_default():
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sv = supervisor.Supervisor(logdir=logdir)
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aar = AbortAndRetry()
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with self.assertRaisesRegex(RuntimeError, "Failed Again"):
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basic_loops.basic_train_loop(sv, aar.train_fn)
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self.assertEqual(0, aar.retries_left)
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if __name__ == "__main__":
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test.main()
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