# 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()