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import itertools
from unittest.mock import patch
from torchaudio._internal import module_utils as _mod_utils
from torchaudio.backend import _soundfile_backend as soundfile_backend
from parameterized import parameterized
from torchaudio_unittest.common_utils import (
TempDirMixin,
PytorchTestCase,
skipIfNoModule,
get_wav_data,
load_wav,
)
from .common import parameterize, dtype2subtype, skipIfFormatNotSupported
if _mod_utils.is_module_available("soundfile"):
import soundfile
class MockedSaveTest(PytorchTestCase):
@parameterize(
["float32", "int32", "int16", "uint8"], [8000, 16000], [1, 2], [False, True],
)
@patch("soundfile.write")
def test_wav(self, dtype, sample_rate, num_channels, channels_first, mocked_write):
"""soundfile_backend.save passes correct subtype to soundfile.write when WAV"""
filepath = "foo.wav"
input_tensor = get_wav_data(
dtype,
num_channels,
num_frames=3 * sample_rate,
normalize=dtype == "flaot32",
channels_first=channels_first,
).t()
soundfile_backend.save(
filepath, input_tensor, sample_rate, channels_first=channels_first
)
# on +Py3.8 call_args.kwargs is more descreptive
args = mocked_write.call_args[1]
assert args["file"] == filepath
assert args["samplerate"] == sample_rate
assert args["subtype"] == dtype2subtype(dtype)
assert args["format"] is None
self.assertEqual(
args["data"], input_tensor.t() if channels_first else input_tensor
)
@patch("soundfile.write")
def assert_non_wav(
self, fmt, dtype, sample_rate, num_channels, channels_first, mocked_write
):
"""soundfile_backend.save passes correct subtype and format to soundfile.write when SPHERE"""
filepath = f"foo.{fmt}"
input_tensor = get_wav_data(
dtype,
num_channels,
num_frames=3 * sample_rate,
normalize=False,
channels_first=channels_first,
).t()
expected_data = input_tensor.t() if channels_first else input_tensor
soundfile_backend.save(
filepath, input_tensor, sample_rate, channels_first=channels_first
)
# on +Py3.8 call_args.kwargs is more descreptive
args = mocked_write.call_args[1]
assert args["file"] == filepath
assert args["samplerate"] == sample_rate
assert args["subtype"] is None
if fmt in ["sph", "nist", "nis"]:
assert args["format"] == "NIST"
else:
assert args["format"] is None
self.assertEqual(args["data"], expected_data)
@parameterize(
["sph", "nist", "nis"],
["int32", "int16"],
[8000, 16000],
[1, 2],
[False, True],
)
def test_sph(self, fmt, dtype, sample_rate, num_channels, channels_first):
"""soundfile_backend.save passes default format and subtype (None-s) to
soundfile.write when not WAV"""
self.assert_non_wav(fmt, dtype, sample_rate, num_channels, channels_first)
@parameterize(
["int32", "int16"], [8000, 16000], [1, 2], [False, True],
)
def test_flac(self, dtype, sample_rate, num_channels, channels_first):
"""soundfile_backend.save passes default format and subtype (None-s) to
soundfile.write when not WAV"""
self.assert_non_wav("flac", dtype, sample_rate, num_channels, channels_first)
@parameterize(
["int32", "int16"], [8000, 16000], [1, 2], [False, True],
)
def test_ogg(self, dtype, sample_rate, num_channels, channels_first):
"""soundfile_backend.save passes default format and subtype (None-s) to
soundfile.write when not WAV"""
self.assert_non_wav("ogg", dtype, sample_rate, num_channels, channels_first)
@skipIfNoModule("soundfile")
class SaveTestBase(TempDirMixin, PytorchTestCase):
def assert_wav(self, dtype, sample_rate, num_channels, num_frames):
"""`soundfile_backend.save` can save wav format."""
path = self.get_temp_path("data.wav")
expected = get_wav_data(
dtype, num_channels, num_frames=num_frames, normalize=False
)
soundfile_backend.save(path, expected, sample_rate)
found, sr = load_wav(path, normalize=False)
assert sample_rate == sr
self.assertEqual(found, expected)
def _assert_non_wav(self, fmt, dtype, sample_rate, num_channels):
"""`soundfile_backend.save` can save non-wav format.
Due to precision missmatch, and the lack of alternative way to decode the
resulting files without using soundfile, only meta data are validated.
"""
num_frames = sample_rate * 3
path = self.get_temp_path(f"data.{fmt}")
expected = get_wav_data(
dtype, num_channels, num_frames=num_frames, normalize=False
)
soundfile_backend.save(path, expected, sample_rate)
sinfo = soundfile.info(path)
assert sinfo.format == fmt.upper()
assert sinfo.frames == num_frames
assert sinfo.channels == num_channels
assert sinfo.samplerate == sample_rate
def assert_flac(self, dtype, sample_rate, num_channels):
"""`soundfile_backend.save` can save flac format."""
self._assert_non_wav("flac", dtype, sample_rate, num_channels)
def assert_sphere(self, dtype, sample_rate, num_channels):
"""`soundfile_backend.save` can save sph format."""
self._assert_non_wav("nist", dtype, sample_rate, num_channels)
def assert_ogg(self, dtype, sample_rate, num_channels):
"""`soundfile_backend.save` can save ogg format.
As we cannot inspect the OGG format (it's lossy), we only check the metadata.
"""
self._assert_non_wav("ogg", dtype, sample_rate, num_channels)
@skipIfNoModule("soundfile")
class TestSave(SaveTestBase):
@parameterize(
["float32", "int32", "int16"], [8000, 16000], [1, 2],
)
def test_wav(self, dtype, sample_rate, num_channels):
"""`soundfile_backend.save` can save wav format."""
self.assert_wav(dtype, sample_rate, num_channels, num_frames=None)
@parameterize(
["float32", "int32", "int16"], [4, 8, 16, 32],
)
def test_multiple_channels(self, dtype, num_channels):
"""`soundfile_backend.save` can save wav with more than 2 channels."""
sample_rate = 8000
self.assert_wav(dtype, sample_rate, num_channels, num_frames=None)
@parameterize(
["int32", "int16"], [8000, 16000], [1, 2],
)
@skipIfFormatNotSupported("NIST")
def test_sphere(self, dtype, sample_rate, num_channels):
"""`soundfile_backend.save` can save sph format."""
self.assert_sphere(dtype, sample_rate, num_channels)
@parameterize(
[8000, 16000], [1, 2],
)
@skipIfFormatNotSupported("FLAC")
def test_flac(self, sample_rate, num_channels):
"""`soundfile_backend.save` can save flac format."""
self.assert_flac("float32", sample_rate, num_channels)
@parameterize(
[8000, 16000], [1, 2],
)
@skipIfFormatNotSupported("OGG")
def test_ogg(self, sample_rate, num_channels):
"""`soundfile_backend.save` can save ogg/vorbis format."""
self.assert_ogg("float32", sample_rate, num_channels)
@skipIfNoModule("soundfile")
class TestSaveParams(TempDirMixin, PytorchTestCase):
"""Test the correctness of optional parameters of `soundfile_backend.save`"""
@parameterize([(True,), (False,)])
def test_channels_first(self, channels_first):
"""channels_first swaps axes"""
path = self.get_temp_path("data.wav")
data = get_wav_data("int32", 2, channels_first=channels_first)
soundfile_backend.save(path, data, 8000, channels_first=channels_first)
found = load_wav(path)[0]
expected = data if channels_first else data.transpose(1, 0)
self.assertEqual(found, expected, atol=1e-4, rtol=1e-8)
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