b17d53c0cd
In order to support tests running in eager mode we need to avoid unnecessary use of Sessions in tests. This moves to remove some of the uses of the `run` function in favor of `evaluate`. PiperOrigin-RevId: 223009795
65 lines
2.3 KiB
Python
65 lines
2.3 KiB
Python
# 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.Session() as sess:
|
|
tf.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()
|