| # 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() |