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# Copyright 2018 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.
# ==============================================================================
"""Tests for tensorflow.kernels.logging_ops."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
from tensorflow.python.framework import test_util
from tensorflow.python.ops import logging_ops
from tensorflow.python.ops import math_ops
from tensorflow.python.platform import test
from tensorflow.python.platform import tf_logging
class PrintV2LoggingLevelTest(test.TestCase):
@test_util.run_in_graph_and_eager_modes()
def testPrintOneTensorLogInfo(self):
with self.cached_session():
tensor = math_ops.range(10)
with self.captureWritesToStream(sys.stderr) as printed:
print_op = logging_ops.print_v2(
tensor, output_stream=tf_logging.info)
self.evaluate(print_op)
self.assertTrue("I" in printed.contents())
expected = "[0 1 2 ... 7 8 9]"
self.assertTrue(expected in printed.contents())
@test_util.run_in_graph_and_eager_modes()
def testPrintOneTensorLogWarning(self):
with self.cached_session():
tensor = math_ops.range(10)
with self.captureWritesToStream(sys.stderr) as printed:
print_op = logging_ops.print_v2(
tensor, output_stream=tf_logging.warning)
self.evaluate(print_op)
self.assertTrue("W" in printed.contents())
expected = "[0 1 2 ... 7 8 9]"
self.assertTrue(expected in printed.contents())
@test_util.run_in_graph_and_eager_modes()
def testPrintOneTensorLogError(self):
with self.cached_session():
tensor = math_ops.range(10)
with self.captureWritesToStream(sys.stderr) as printed:
print_op = logging_ops.print_v2(
tensor, output_stream=tf_logging.error)
self.evaluate(print_op)
self.assertTrue("E" in printed.contents())
expected = "[0 1 2 ... 7 8 9]"
self.assertTrue(expected in printed.contents())
if __name__ == "__main__":
test.main()
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