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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.
# ==============================================================================
"""Tests for WAVE file labeling tool."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import tensorflow as tf
from tensorflow.contrib.framework.python.ops import audio_ops as contrib_audio
from tensorflow.examples.speech_commands import label_wav
from tensorflow.python.platform import test
class LabelWavTest(test.TestCase):
def _getWavData(self):
with self.cached_session() as sess:
sample_data = tf.zeros([1000, 2])
wav_encoder = contrib_audio.encode_wav(sample_data, 16000)
wav_data = self.evaluate(wav_encoder)
return wav_data
def _saveTestWavFile(self, filename, wav_data):
with open(filename, "wb") as f:
f.write(wav_data)
def testLabelWav(self):
tmp_dir = self.get_temp_dir()
wav_data = self._getWavData()
wav_filename = os.path.join(tmp_dir, "wav_file.wav")
self._saveTestWavFile(wav_filename, wav_data)
input_name = "test_input"
output_name = "test_output"
graph_filename = os.path.join(tmp_dir, "test_graph.pb")
with tf.compat.v1.Session() as sess:
tf.compat.v1.placeholder(tf.string, name=input_name)
tf.zeros([1, 3], name=output_name)
with open(graph_filename, "wb") as f:
f.write(sess.graph.as_graph_def().SerializeToString())
labels_filename = os.path.join(tmp_dir, "test_labels.txt")
with open(labels_filename, "w") as f:
f.write("a\nb\nc\n")
label_wav.label_wav(wav_filename, labels_filename, graph_filename,
input_name + ":0", output_name + ":0", 3)
if __name__ == "__main__":
test.main()