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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.
# ==============================================================================
"""TPU RunConfig tests."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import json
from tensorflow.contrib.tpu.python.tpu import tpu_config as tpu_config_lib
from tensorflow.core.protobuf import config_pb2
from tensorflow.python.estimator import run_config as run_config_lib
from tensorflow.python.platform import test
def _set_tf_config_env_variable(tf_config):
return test.mock.patch.dict('os.environ', {
'TF_CONFIG': json.dumps(tf_config)
})
class TPURunConfigTest(test.TestCase):
def test_no_session_config_set_in_local_case(self):
run_config = tpu_config_lib.RunConfig()
self.assertIsNone(run_config.session_config)
def test_no_session_config_overwrite_in_local_case(self):
session_config = config_pb2.ConfigProto(allow_soft_placement=True)
run_config = tpu_config_lib.RunConfig(session_config=session_config)
self.assertEqual(session_config, run_config.session_config)
def test_no_session_config_set_with_cluster_spec(self):
tf_config = {
'cluster': {
run_config_lib.TaskType.CHIEF: ['host3:3'],
run_config_lib.TaskType.WORKER: ['host3:4']
},
'task': {
'type': run_config_lib.TaskType.CHIEF,
'index': 0
}
}
with _set_tf_config_env_variable(tf_config):
run_config = tpu_config_lib.RunConfig()
self.assertIsNone(run_config.session_config)
def test_no_session_config_overwrite_with_cluster_spec(self):
tf_config = {
'cluster': {
run_config_lib.TaskType.CHIEF: ['host3:3'],
run_config_lib.TaskType.WORKER: ['host3:4']
},
'task': {
'type': run_config_lib.TaskType.CHIEF,
'index': 0
}
}
with _set_tf_config_env_variable(tf_config):
session_config = config_pb2.ConfigProto(allow_soft_placement=True)
run_config = tpu_config_lib.RunConfig(session_config=session_config)
self.assertEqual(session_config, run_config.session_config)
def test_fail_with_invalid_num_shards(self):
with self.assertRaisesRegexp(ValueError, 'must be positive'):
tpu_config_lib.RunConfig(
tpu_config=tpu_config_lib.TPUConfig(num_shards=0))
def test_fail_with_iterations_per_loop(self):
with self.assertRaisesRegexp(ValueError, 'must be positive'):
tpu_config_lib.RunConfig(
tpu_config=tpu_config_lib.TPUConfig(iterations_per_loop=0))
def test_fail_with_invalid_num_cores_per_replica(self):
with self.assertRaisesRegexp(
ValueError, 'num_cores_per_replica must be 1, 2, 4, or 8;'
' got 7'):
tpu_config_lib.TPUConfig(num_cores_per_replica=7)
class TPURunConfigMasterTest(test.TestCase):
def test_default_values(self):
run_config = tpu_config_lib.RunConfig()
self.assertEqual('', run_config.master)
self.assertEqual('', run_config.evaluation_master)
def test_user_provided_master_and_evaluation_master(self):
run_config = tpu_config_lib.RunConfig(
master='_master_123', evaluation_master='_eval_master_123')
self.assertEqual('_master_123', run_config.master)
self.assertEqual('_eval_master_123', run_config.evaluation_master)
def test_evaluation_master_defaults_to_master(self):
run_config = tpu_config_lib.RunConfig(master='_master_123')
self.assertEqual('_master_123', run_config.master)
self.assertEqual('_master_123', run_config.evaluation_master)
def test_tf_config(self):
tf_config = {
'session_master': '_master_123',
'eval_session_master': '_eval_master_123'
}
with _set_tf_config_env_variable(tf_config):
run_config = tpu_config_lib.RunConfig()
self.assertEqual('_master_123', run_config.master)
self.assertEqual('_eval_master_123', run_config.evaluation_master)
def test_evaluation_master_defaults_to_master_in_tf_config(self):
tf_config = {
'session_master': '_master_123',
}
with _set_tf_config_env_variable(tf_config):
run_config = tpu_config_lib.RunConfig()
self.assertEqual('_master_123', run_config.master)
self.assertEqual('_master_123', run_config.evaluation_master)
def test_respect_evaluation_master_in_tf_config(self):
tf_config = {
'cluster': {
run_config_lib.TaskType.CHIEF: ['host0:0'],
},
'task': {
'type': run_config_lib.TaskType.EVALUATOR,
'index': 0
},
}
with _set_tf_config_env_variable(tf_config):
run_config = tpu_config_lib.RunConfig(master='_something')
self.assertEqual('', run_config.evaluation_master)
def test_user_overwrites_tf_config(self):
tf_config = {
'session_master': '_master_123',
'eval_session_master': '_eval_master_123'
}
with _set_tf_config_env_variable(tf_config):
run_config = tpu_config_lib.RunConfig(
master='_new_master_123', evaluation_master='_new_eval_master_123')
self.assertEqual('_new_master_123', run_config.master)
self.assertEqual('_new_eval_master_123', run_config.evaluation_master)
def test_user_overwrites_master_in_tf_config(self):
tf_config = {
'session_master': '_master_123',
'eval_session_master': '_eval_master_123'
}
with _set_tf_config_env_variable(tf_config):
run_config = tpu_config_lib.RunConfig(master='_new_master_123')
self.assertEqual('_new_master_123', run_config.master)
self.assertEqual('_eval_master_123', run_config.evaluation_master)
class TPUJobNameTest(test.TestCase):
def test_default_name(self):
config = tpu_config_lib.RunConfig()
self.assertIsNone(config.tpu_config.tpu_job_name)
def test_with_tf_config(self):
tf_config = {'service': {'tpu_worker_job_name': '_my_new_name',}}
with _set_tf_config_env_variable(tf_config):
config = tpu_config_lib.RunConfig()
self.assertEqual('_my_new_name', config.tpu_config.tpu_job_name)
if __name__ == '__main__':
test.main()
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