1 # Copyright 2015 The TensorFlow Authors. All Rights Reserved. 2 # 3 # Licensed under the Apache License, Version 2.0 (the "License"); 4 # you may not use this file except in compliance with the License. 5 # You may obtain a copy of the License at 6 # 7 # http://www.apache.org/licenses/LICENSE-2.0 8 # 9 # Unless required by applicable law or agreed to in writing, software 10 # distributed under the License is distributed on an "AS IS" BASIS, 11 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 # See the License for the specific language governing permissions and 13 # limitations under the License. 14 # ============================================================================== 15 """Tests for summary sound op.""" 16 17 from __future__ import absolute_import 18 from __future__ import division 19 from __future__ import print_function 20 21 import numpy as np 22 from six.moves import xrange # pylint: disable=redefined-builtin 23 24 from tensorflow.core.framework import summary_pb2 25 from tensorflow.python.framework import ops 26 from tensorflow.python.platform import test 27 from tensorflow.python.summary import summary 28 29 30 class SummaryAudioOpTest(test.TestCase): 31 32 def _AsSummary(self, s): 33 summ = summary_pb2.Summary() 34 summ.ParseFromString(s) 35 return summ 36 37 def _CheckProto(self, audio_summ, sample_rate, num_channels, length_frames): 38 """Verify that the non-audio parts of the audio_summ proto match shape.""" 39 # Only the first 3 sounds are returned. 40 for v in audio_summ.value: 41 v.audio.ClearField("encoded_audio_string") 42 expected = "\n".join(""" 43 value { 44 tag: "snd/audio/%d" 45 audio { content_type: "audio/wav" sample_rate: %d 46 num_channels: %d length_frames: %d } 47 }""" % (i, sample_rate, num_channels, length_frames) for i in xrange(3)) 48 self.assertProtoEquals(expected, audio_summ) 49 50 def testAudioSummary(self): 51 np.random.seed(7) 52 for channels in (1, 2, 5, 8): 53 with self.test_session(graph=ops.Graph()) as sess: 54 num_frames = 7 55 shape = (4, num_frames, channels) 56 # Generate random audio in the range [-1.0, 1.0). 57 const = 2.0 * np.random.random(shape) - 1.0 58 59 # Summarize 60 sample_rate = 8000 61 summ = summary.audio( 62 "snd", const, max_outputs=3, sample_rate=sample_rate) 63 value = sess.run(summ) 64 self.assertEqual([], summ.get_shape()) 65 audio_summ = self._AsSummary(value) 66 67 # Check the rest of the proto 68 self._CheckProto(audio_summ, sample_rate, channels, num_frames) 69 70 71 if __name__ == "__main__": 72 test.main() 73
