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# Copyright 2015 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 summary sound op."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
from six.moves import xrange # pylint: disable=redefined-builtin
from tensorflow.core.framework import summary_pb2
from tensorflow.python.framework import ops
from tensorflow.python.platform import test
from tensorflow.python.summary import summary
class SummaryAudioOpTest(test.TestCase):
def _AsSummary(self, s):
summ = summary_pb2.Summary()
summ.ParseFromString(s)
return summ
def _CheckProto(self, audio_summ, sample_rate, num_channels, length_frames):
"""Verify that the non-audio parts of the audio_summ proto match shape."""
# Only the first 3 sounds are returned.
for v in audio_summ.value:
v.audio.ClearField("encoded_audio_string")
expected = "\n".join("""
value {
tag: "snd/audio/%d"
audio { content_type: "audio/wav" sample_rate: %d
num_channels: %d length_frames: %d }
}""" % (i, sample_rate, num_channels, length_frames) for i in xrange(3))
self.assertProtoEquals(expected, audio_summ)
def testAudioSummary(self):
np.random.seed(7)
for channels in (1, 2, 5, 8):
with self.session(graph=ops.Graph()) as sess:
num_frames = 7
shape = (4, num_frames, channels)
# Generate random audio in the range [-1.0, 1.0).
const = 2.0 * np.random.random(shape) - 1.0
# Summarize
sample_rate = 8000
summ = summary.audio(
"snd", const, max_outputs=3, sample_rate=sample_rate)
value = sess.run(summ)
self.assertEqual([], summ.get_shape())
audio_summ = self._AsSummary(value)
# Check the rest of the proto
self._CheckProto(audio_summ, sample_rate, channels, num_frames)
if __name__ == "__main__":
test.main()
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