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Removed call to tf.Session (useless + incompatible with tf2)

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romi1502
2020-09-25 13:18:36 +02:00
parent 2af82f5fe5
commit 3df2fa36cc
1 changed files with 44 additions and 48 deletions
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92
tests/test_separator.py
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@@ -42,67 +42,63 @@ print("RUNNING TESTS WITH TF VERSION {}".format(tf.__version__))
@pytest.mark.parametrize('test_file, configuration, backend', TEST_CONFIGURATIONS)
def test_separate(test_file, configuration, backend):
""" Test separation from raw data. """
with tf.Session() as sess:
instruments = MODEL_TO_INST[configuration]
adapter = get_default_audio_adapter()
waveform, _ = adapter.load(test_file)
separator = Separator(configuration, stft_backend=backend)
prediction = separator.separate(waveform, test_file)
assert len(prediction) == len(instruments)
for instrument in instruments:
assert instrument in prediction
for instrument in instruments:
track = prediction[instrument]
assert waveform.shape[:-1] == track.shape[:-1]
assert not np.allclose(waveform, track)
for compared in instruments:
if instrument != compared:
assert not np.allclose(track, prediction[compared])
instruments = MODEL_TO_INST[configuration]
adapter = get_default_audio_adapter()
waveform, _ = adapter.load(test_file)
separator = Separator(configuration, stft_backend=backend)
prediction = separator.separate(waveform, test_file)
assert len(prediction) == len(instruments)
for instrument in instruments:
assert instrument in prediction
for instrument in instruments:
track = prediction[instrument]
assert waveform.shape[:-1] == track.shape[:-1]
assert not np.allclose(waveform, track)
for compared in instruments:
if instrument != compared:
assert not np.allclose(track, prediction[compared])
@pytest.mark.parametrize('test_file, configuration, backend', TEST_CONFIGURATIONS)
def test_separate_to_file(test_file, configuration, backend):
""" Test file based separation. """
with tf.Session() as sess:
instruments = MODEL_TO_INST[configuration]
separator = Separator(configuration, stft_backend=backend)
name = splitext(basename(test_file))[0]
with TemporaryDirectory() as directory:
separator.separate_to_file(
test_file,
directory)
for instrument in instruments:
assert exists(join(
directory,
'{}/{}.wav'.format(name, instrument)))
instruments = MODEL_TO_INST[configuration]
separator = Separator(configuration, stft_backend=backend)
name = splitext(basename(test_file))[0]
with TemporaryDirectory() as directory:
separator.separate_to_file(
test_file,
directory)
for instrument in instruments:
assert exists(join(
directory,
'{}/{}.wav'.format(name, instrument)))
@pytest.mark.parametrize('test_file, configuration, backend', TEST_CONFIGURATIONS)
def test_filename_format(test_file, configuration, backend):
""" Test custom filename format. """
with tf.Session() as sess:
instruments = MODEL_TO_INST[configuration]
separator = Separator(configuration, stft_backend=backend)
name = splitext(basename(test_file))[0]
with TemporaryDirectory() as directory:
separator.separate_to_file(
test_file,
instruments = MODEL_TO_INST[configuration]
separator = Separator(configuration, stft_backend=backend)
name = splitext(basename(test_file))[0]
with TemporaryDirectory() as directory:
separator.separate_to_file(
test_file,
directory,
filename_format='export/{filename}/{instrument}.{codec}')
for instrument in instruments:
assert exists(join(
directory,
filename_format='export/{filename}/{instrument}.{codec}')
for instrument in instruments:
assert exists(join(
directory,
'export/{}/{}.wav'.format(name, instrument)))
'export/{}/{}.wav'.format(name, instrument)))
@pytest.mark.parametrize('test_file, configuration', MODELS_AND_TEST_FILES)
def test_filename_conflict(test_file, configuration):
""" Test error handling with static pattern. """
with tf.Session() as sess:
separator = Separator(configuration)
with TemporaryDirectory() as directory:
with pytest.raises(SpleeterError):
separator.separate_to_file(
test_file,
directory,
filename_format='I wanna be your lover')
separator = Separator(configuration)
with TemporaryDirectory() as directory:
with pytest.raises(SpleeterError):
separator.separate_to_file(
test_file,
directory,
filename_format='I wanna be your lover')