Set a longer time execution threshold for related failed time-outs CI

setup.py

@@ -15,7 +15,7 @@
         "humanfriendly",
         "scipy>=1.4.1",
         "filelock",
-        "librosa>=0.8.0",
+        "librosa==0.9.2",
         "jamo==0.4.1",  # For kss
         "PyYAML>=5.1.2",
         "soundfile>=0.10.2",

test/espnet2/bin/test_tts_inference.py

@@ -52,7 +52,7 @@ def config_file(tmp_path: Path, token_list):
     return tmp_path / "config.yaml"
 
 
-@pytest.mark.execution_timeout(5)
+@pytest.mark.execution_timeout(10)
 def test_Text2Speech(config_file):
     text2speech = Text2Speech(train_config=config_file)
     text = "aiueo"

test/test_multi_spkrs.py

@@ -14,27 +14,27 @@
 
 def make_arg(**kwargs):
     defaults = dict(
-        aconv_chans=10,
-        aconv_filts=100,
-        adim=320,
+        aconv_chans=2,
+        aconv_filts=20,
+        adim=20,
         aheads=4,
         apply_uttmvn=False,
         atype="location",
         awin=5,
-        badim=320,
+        badim=20,
         batch_bins=0,
         batch_count="auto",
         batch_frames_in=0,
         batch_frames_inout=0,
         batch_frames_out=0,
-        batch_size=10,
+        batch_size=2,
         bdropout_rate=0.0,
         beam_size=3,
         blayers=2,
         bnmask=3,
-        bprojs=300,
+        bprojs=10,
         btype="blstmp",
-        bunits=300,
+        bunits=10,
         char_list=["a", "i", "u", "e", "o"],
         context_residual=False,
         ctc_type="builtin",
@@ -43,12 +43,12 @@ def make_arg(**kwargs):
         dropout_rate=0.0,
         dropout_rate_decoder=0.0,
         dtype="lstm",
-        dunits=300,
+        dunits=10,
         elayers_sd=1,
         elayers=2,
         etype="vggblstmp",
-        eprojs=100,
-        eunits=100,
+        eprojs=10,
+        eunits=10,
         fbank_fmax=None,
         fbank_fmin=0.0,
         fbank_fs=16000,
@@ -86,9 +86,9 @@ def make_arg(**kwargs):
         wlayers=2,
         wpe_delay=3,
         wpe_taps=5,
-        wprojs=300,
+        wprojs=10,
         wtype="blstmp",
-        wunits=300,
+        wunits=10,
     )
     defaults.update(kwargs)
     return argparse.Namespace(**defaults)
@@ -181,6 +181,7 @@ def test_pit_process(etype, dtype, num_spkrs, m_str, data_idx):
     assert torch.equal(min_perm, true_perm[data_idx])
 
 
+@pytest.mark.execution_timeout(5)
 @pytest.mark.parametrize(
     ("use_frontend", "use_beamformer", "bnmask", "num_spkrs", "m_str"),
     [(True, True, 3, 2, "espnet.nets.pytorch_backend.e2e_asr_mix")],

test/test_transform.py

@@ -1,5 +1,6 @@
 import kaldiio
 import numpy as np
+import pytest
 
 from espnet.transform.add_deltas import add_deltas
 from espnet.transform.cmvn import CMVN
@@ -8,6 +9,7 @@
 from espnet.transform.transformation import Transformation
 
 
+@pytest.mark.execution_timeout(10)
 def test_preprocessing(tmpdir):
     cmvn_ark = str(tmpdir.join("cmvn.ark"))
     kwargs = {