[to #42322933] test: use custom config to reduce test time

Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/10011826

、

modelscope/models/audio/ans/complex_nn.py

@@ -1,7 +1,7 @@
 """
-class ComplexConv2d, ComplexConvTranspose2d and ComplexBatchNorm2d are the work of
-Jongho Choi(sweetcocoa@snu.ac.kr / Seoul National Univ., ESTsoft ).
-from https://github.com/sweetcocoa/DeepComplexUNetPyTorch
+The implementation of class ComplexConv2d, ComplexConvTranspose2d and ComplexBatchNorm2d
+ here is modified based on Jongho Choi(sweetcocoa@snu.ac.kr / Seoul National Univ., ESTsoft )
+and publicly available at https://github.com/sweetcocoa/DeepComplexUNetPyTorch
 
 """
 import torch

modelscope/models/audio/ans/unet.py

@@ -1,6 +1,7 @@
 """
-Based on the work of Jongho Choi(sweetcocoa@snu.ac.kr / Seoul National Univ., ESTsoft ).
-from https://github.com/sweetcocoa/DeepComplexUNetPyTorch
+The implementation here is modified based on
+ Jongho Choi(sweetcocoa@snu.ac.kr / Seoul National Univ., ESTsoft )
+and publicly available at https://github.com/sweetcocoa/DeepComplexUNetPyTorch
 """
 import torch
 import torch.nn as nn

tests/trainers/audio/test_ans_trainer.py

@@ -8,12 +8,14 @@ from modelscope.metainfo import Trainers
 from modelscope.msdatasets import MsDataset
 from modelscope.trainers import build_trainer
 from modelscope.utils.audio.audio_utils import to_segment
+from modelscope.utils.hub import read_config
 from modelscope.utils.test_utils import test_level
 
 SEGMENT_LENGTH_TEST = 640
 
 
 class TestANSTrainer(unittest.TestCase):
+    REVISION = 'beta'
 
     def setUp(self):
         self.tmp_dir = tempfile.TemporaryDirectory().name
@@ -21,6 +23,11 @@ class TestANSTrainer(unittest.TestCase):
             os.makedirs(self.tmp_dir)
 
         self.model_id = 'damo/speech_frcrn_ans_cirm_16k'
+        cfg = read_config(self.model_id, revision=self.REVISION)
+        cfg.train.max_epochs = 2
+        cfg.train.dataloader.batch_size_per_gpu = 1
+        self.cfg_file = os.path.join(self.tmp_dir, 'train_config.json')
+        cfg.dump(self.cfg_file)
 
         hf_ds = MsDataset.load(
             'ICASSP_2021_DNS_Challenge', split='test').to_hf_dataset()
@@ -39,12 +46,13 @@ class TestANSTrainer(unittest.TestCase):
     def test_trainer(self):
         kwargs = dict(
             model=self.model_id,
-            model_revision='beta',
+            model_revision=self.REVISION,
             train_dataset=self.dataset,
             eval_dataset=self.dataset,
             max_epochs=2,
             train_iters_per_epoch=2,
             val_iters_per_epoch=1,
+            cfg_file=self.cfg_file,
             work_dir=self.tmp_dir)
 
         trainer = build_trainer(