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[tests] Make tests faster #496

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[tests] Make tests faster #496

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6b95ab7
Release v0.5.1
mpariente May 7, 2021
e785cf0
DSP
mpariente May 7, 2021
7b229c4
Losses
mpariente May 7, 2021
456591e
Models
mpariente May 7, 2021
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2 changes: 1 addition & 1 deletion asteroid/__init__.py
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Original file line number Diff line number Diff line change
Expand Up @@ -4,7 +4,7 @@
from .utils import deprecation_utils, torch_utils # noqa

project_root = str(pathlib.Path(__file__).expanduser().absolute().parent.parent)
__version__ = "0.5.1rc0"
__version__ = "0.5.1"


def show_available_models():
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4 changes: 2 additions & 2 deletions tests/dsp/beamforming_test.py
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Expand Up @@ -24,8 +24,8 @@
def _default_beamformer_test(beamformer: Beamformer, batch_size=2, n_mics=4, **forward_kwargs):
scm = SCM()

speech = torch.randn(batch_size, n_mics, 16000 * 6)
noise = torch.randn(batch_size, n_mics, 16000 * 6)
speech = torch.randn(batch_size, n_mics, 16000 * 2)
noise = torch.randn(batch_size, n_mics, 16000 * 2)
mix = speech + noise
# GeV Beamforming
mix_stft = stft(mix)
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4 changes: 2 additions & 2 deletions tests/losses/mixit_wrapper_test.py
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Expand Up @@ -23,10 +23,10 @@ def test_mixitwrapper_as_pit_wrapper(batch_size, n_src, time):
assert reordered_est.shape == est_targets.shape


@pytest.mark.parametrize("batch_size", [1, 2, 4])
@pytest.mark.parametrize("batch_size", [1, 2])
@pytest.mark.parametrize("factor", [1, 2, 3])
@pytest.mark.parametrize("n_mix", [2, 3])
@pytest.mark.parametrize("time", [16000])
@pytest.mark.parametrize("time", [2000])
def test_mixit_wrapper(batch_size, factor, n_mix, time):
mixtures = torch.randn(batch_size, n_mix, time)
n_src = n_mix * factor
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6 changes: 4 additions & 2 deletions tests/models/fasnet_test.py
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Expand Up @@ -4,10 +4,10 @@
from asteroid.models.fasnet import FasNetTAC


@pytest.mark.parametrize("samples", [8372])
@pytest.mark.parametrize("samples", [4372])
@pytest.mark.parametrize("batch_size", [1, 2])
@pytest.mark.parametrize("n_mics", [1, 2])
@pytest.mark.parametrize("n_src", [1, 2, 3])
@pytest.mark.parametrize("n_src", [2, 3])
@pytest.mark.parametrize("use_tac", [True, False])
@pytest.mark.parametrize("enc_dim", [4])
@pytest.mark.parametrize("feature_dim", [8])
Expand All @@ -23,5 +23,7 @@ def test_fasnet(batch_size, n_mics, samples, n_src, use_tac, enc_dim, feature_di
feature_dim=feature_dim,
window_ms=window,
context_ms=context,
hidden_dim=16,
tac_hidden_dim=12,
)
fasnet(mixture, valid_mics)
14 changes: 8 additions & 6 deletions tests/models/xumx_test.py
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Expand Up @@ -5,8 +5,6 @@

sources = [
["bass", "drums", "vocals", "other"],
["vocals", "drums", "bass"],
["vocals", "other"],
["drums"],
]

Expand All @@ -19,8 +17,8 @@
@pytest.mark.parametrize(
"data",
(
torch.rand(3, 2, 44100, requires_grad=False),
torch.rand(1, 2, 2 * 44100, requires_grad=False),
torch.rand(3, 2, 4100, requires_grad=False),
torch.rand(1, 2, 2 * 4100, requires_grad=False),
),
)
def test_forward(nb_channels, sources, bidirectional, spec_power, return_time_signals, data):
Expand All @@ -29,7 +27,7 @@ def test_forward(nb_channels, sources, bidirectional, spec_power, return_time_si
input_mean=None,
input_scale=None,
nb_channels=nb_channels,
hidden_size=128,
hidden_size=10,
nb_layers=2,
in_chan=4096,
n_hop=1024,
Expand Down Expand Up @@ -69,7 +67,11 @@ def test_get_model_args():

def test_model_loading():
sources_tmp = ["bass", "drums", "vocals", "other"]
model = XUMX(sources=sources_tmp)
model = XUMX(
sources=sources_tmp,
nb_layers=2,
hidden_size=12,
)

model_conf = model.serialize()

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