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save_test.py
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save_test.py
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import io
import unittest
from torchaudio.backend import sox_io_backend
from parameterized import parameterized
from torchaudio_unittest.common_utils import (
TempDirMixin,
TorchaudioTestCase,
PytorchTestCase,
skipIfNoExec,
skipIfNoSox,
get_wav_data,
load_wav,
save_wav,
sox_utils,
nested_params,
)
from .common import (
name_func,
get_enc_params,
)
def _get_sox_encoding(encoding):
encodings = {
'PCM_F': 'floating-point',
'PCM_S': 'signed-integer',
'PCM_U': 'unsigned-integer',
'ULAW': 'u-law',
'ALAW': 'a-law',
}
return encodings.get(encoding)
class SaveTestBase(TempDirMixin, TorchaudioTestCase):
def assert_save_consistency(
self,
format: str,
*,
compression: float = None,
encoding: str = None,
bits_per_sample: int = None,
sample_rate: float = 8000,
num_channels: int = 2,
num_frames: float = 3 * 8000,
src_dtype: str = 'int32',
test_mode: str = "path",
):
"""`save` function produces file that is comparable with `sox` command
To compare that the file produced by `save` function agains the file produced by
the equivalent `sox` command, we need to load both files.
But there are many formats that cannot be opened with common Python modules (like
SciPy).
So we use `sox` command to prepare the original data and convert the saved files
into a format that SciPy can read (PCM wav).
The following diagram illustrates this process. The difference is 2.1. and 3.1.
This assumes that
- loading data with SciPy preserves the data well.
- converting the resulting files into WAV format with `sox` preserve the data well.
x
| 1. Generate source wav file with SciPy
|
v
-------------- wav ----------------
| |
| 2.1. load with scipy | 3.1. Convert to the target
| then save it into the target | format depth with sox
| format with torchaudio |
v v
target format target format
| |
| 2.2. Convert to wav with sox | 3.2. Convert to wav with sox
| |
v v
wav wav
| |
| 2.3. load with scipy | 3.3. load with scipy
| |
v v
tensor -------> compare <--------- tensor
"""
cmp_encoding = 'floating-point'
cmp_bit_depth = 32
src_path = self.get_temp_path('1.source.wav')
tgt_path = self.get_temp_path(f'2.1.torchaudio.{format}')
tst_path = self.get_temp_path('2.2.result.wav')
sox_path = self.get_temp_path(f'3.1.sox.{format}')
ref_path = self.get_temp_path('3.2.ref.wav')
# 1. Generate original wav
data = get_wav_data(src_dtype, num_channels, normalize=False, num_frames=num_frames)
save_wav(src_path, data, sample_rate)
# 2.1. Convert the original wav to target format with torchaudio
data = load_wav(src_path, normalize=False)[0]
if test_mode == "path":
sox_io_backend.save(
tgt_path, data, sample_rate,
compression=compression, encoding=encoding, bits_per_sample=bits_per_sample)
elif test_mode == "fileobj":
with open(tgt_path, 'bw') as file_:
sox_io_backend.save(
file_, data, sample_rate,
format=format, compression=compression,
encoding=encoding, bits_per_sample=bits_per_sample)
elif test_mode == "bytesio":
file_ = io.BytesIO()
sox_io_backend.save(
file_, data, sample_rate,
format=format, compression=compression,
encoding=encoding, bits_per_sample=bits_per_sample)
file_.seek(0)
with open(tgt_path, 'bw') as f:
f.write(file_.read())
else:
raise ValueError(f"Unexpected test mode: {test_mode}")
# 2.2. Convert the target format to wav with sox
sox_utils.convert_audio_file(
tgt_path, tst_path, encoding=cmp_encoding, bit_depth=cmp_bit_depth)
# 2.3. Load with SciPy
found = load_wav(tst_path, normalize=False)[0]
# 3.1. Convert the original wav to target format with sox
sox_encoding = _get_sox_encoding(encoding)
sox_utils.convert_audio_file(
src_path, sox_path,
compression=compression, encoding=sox_encoding, bit_depth=bits_per_sample)
# 3.2. Convert the target format to wav with sox
sox_utils.convert_audio_file(
sox_path, ref_path, encoding=cmp_encoding, bit_depth=cmp_bit_depth)
# 3.3. Load with SciPy
expected = load_wav(ref_path, normalize=False)[0]
self.assertEqual(found, expected)
@skipIfNoExec('sox')
@skipIfNoSox
class SaveTest(SaveTestBase):
@nested_params(
["path", "fileobj", "bytesio"],
[
('PCM_U', 8),
('PCM_S', 16),
('PCM_S', 32),
('PCM_F', 32),
('PCM_F', 64),
('ULAW', 8),
('ALAW', 8),
],
)
def test_save_wav(self, test_mode, enc_params):
encoding, bits_per_sample = enc_params
self.assert_save_consistency(
"wav", encoding=encoding, bits_per_sample=bits_per_sample, test_mode=test_mode)
@nested_params(
["path", "fileobj", "bytesio"],
[
('float32', ),
('int32', ),
('int16', ),
('uint8', ),
],
)
def test_save_wav_dtype(self, test_mode, params):
dtype, = params
self.assert_save_consistency(
"wav", src_dtype=dtype, test_mode=test_mode)
@nested_params(
["path", "fileobj", "bytesio"],
[
None,
-4.2,
-0.2,
0,
0.2,
96,
128,
160,
192,
224,
256,
320,
],
)
def test_save_mp3(self, test_mode, bit_rate):
if test_mode in ["fileobj", "bytesio"]:
if bit_rate is not None and bit_rate < 1:
raise unittest.SkipTest(
"mp3 format with variable bit rate is known to "
"not yield the exact same result as sox command.")
self.assert_save_consistency(
"mp3", compression=bit_rate, test_mode=test_mode)
@nested_params(
["path", "fileobj", "bytesio"],
[8, 16, 24],
[
None,
0,
1,
2,
3,
4,
5,
6,
7,
8,
],
)
def test_save_flac(self, test_mode, bits_per_sample, compression_level):
self.assert_save_consistency(
"flac", compression=compression_level,
bits_per_sample=bits_per_sample, test_mode=test_mode)
@nested_params(
["path", "fileobj", "bytesio"],
)
def test_save_htk(self, test_mode):
self.assert_save_consistency("htk", test_mode=test_mode, num_channels=1)
@nested_params(
["path", "fileobj", "bytesio"],
[
None,
-1,
0,
1,
2,
3,
3.6,
5,
10,
],
)
def test_save_vorbis(self, test_mode, quality_level):
self.assert_save_consistency(
"vorbis", compression=quality_level, test_mode=test_mode)
@nested_params(
["path", "fileobj", "bytesio"],
[
('PCM_S', 8, ),
('PCM_S', 16, ),
('PCM_S', 24, ),
('PCM_S', 32, ),
('ULAW', 8),
('ALAW', 8),
('ALAW', 16),
('ALAW', 24),
('ALAW', 32),
],
)
def test_save_sphere(self, test_mode, enc_params):
encoding, bits_per_sample = enc_params
self.assert_save_consistency(
"sph", encoding=encoding, bits_per_sample=bits_per_sample, test_mode=test_mode)
@nested_params(
["path", "fileobj", "bytesio"],
[
('PCM_U', 8, ),
('PCM_S', 16, ),
('PCM_S', 24, ),
('PCM_S', 32, ),
('PCM_F', 32, ),
('PCM_F', 64, ),
('ULAW', 8, ),
('ALAW', 8, ),
],
)
def test_save_amb(self, test_mode, enc_params):
encoding, bits_per_sample = enc_params
self.assert_save_consistency(
"amb", encoding=encoding, bits_per_sample=bits_per_sample, test_mode=test_mode)
@nested_params(
["path", "fileobj", "bytesio"],
[
None,
0,
1,
2,
3,
4,
5,
6,
7,
],
)
def test_save_amr_nb(self, test_mode, bit_rate):
self.assert_save_consistency(
"amr-nb", compression=bit_rate, num_channels=1, test_mode=test_mode)
@nested_params(
["path", "fileobj", "bytesio"],
)
def test_save_gsm(self, test_mode):
self.assert_save_consistency(
"gsm", num_channels=1, test_mode=test_mode)
with self.assertRaises(
RuntimeError, msg="gsm format only supports single channel audio."):
self.assert_save_consistency(
"gsm", num_channels=2, test_mode=test_mode)
with self.assertRaises(
RuntimeError, msg="gsm format only supports a sampling rate of 8kHz."):
self.assert_save_consistency(
"gsm", sample_rate=16000, test_mode=test_mode)
@parameterized.expand([
("wav", "PCM_S", 16),
("mp3", ),
("flac", ),
("vorbis", ),
("sph", "PCM_S", 16),
("amr-nb", ),
("amb", "PCM_S", 16),
], name_func=name_func)
def test_save_large(self, format, encoding=None, bits_per_sample=None):
"""`sox_io_backend.save` can save large files."""
sample_rate = 8000
one_hour = 60 * 60 * sample_rate
self.assert_save_consistency(
format, num_channels=1, sample_rate=8000, num_frames=one_hour,
encoding=encoding, bits_per_sample=bits_per_sample)
@parameterized.expand([
(32, ),
(64, ),
(128, ),
(256, ),
], name_func=name_func)
def test_save_multi_channels(self, num_channels):
"""`sox_io_backend.save` can save audio with many channels"""
self.assert_save_consistency(
"wav", encoding="PCM_S", bits_per_sample=16,
num_channels=num_channels)
@skipIfNoExec('sox')
@skipIfNoSox
class TestSaveParams(TempDirMixin, PytorchTestCase):
"""Test the correctness of optional parameters of `sox_io_backend.save`"""
@parameterized.expand([(True, ), (False, )], name_func=name_func)
def test_save_channels_first(self, channels_first):
"""channels_first swaps axes"""
path = self.get_temp_path('data.wav')
data = get_wav_data(
'int16', 2, channels_first=channels_first, normalize=False)
sox_io_backend.save(
path, data, 8000, channels_first=channels_first)
found = load_wav(path, normalize=False)[0]
expected = data if channels_first else data.transpose(1, 0)
self.assertEqual(found, expected)
@parameterized.expand([
'float32', 'int32', 'int16', 'uint8'
], name_func=name_func)
def test_save_noncontiguous(self, dtype):
"""Noncontiguous tensors are saved correctly"""
path = self.get_temp_path('data.wav')
enc, bps = get_enc_params(dtype)
expected = get_wav_data(dtype, 4, normalize=False)[::2, ::2]
assert not expected.is_contiguous()
sox_io_backend.save(
path, expected, 8000, encoding=enc, bits_per_sample=bps)
found = load_wav(path, normalize=False)[0]
self.assertEqual(found, expected)
@parameterized.expand([
'float32', 'int32', 'int16', 'uint8',
])
def test_save_tensor_preserve(self, dtype):
"""save function should not alter Tensor"""
path = self.get_temp_path('data.wav')
expected = get_wav_data(dtype, 4, normalize=False)[::2, ::2]
data = expected.clone()
sox_io_backend.save(path, data, 8000)
self.assertEqual(data, expected)