fix unit test (#3835)

tests/unit/asr/deepspeech2_model_test.py

@@ -48,7 +48,7 @@ class TestDeepSpeech2Model(unittest.TestCase):
             num_rnn_layers=3,
             rnn_size=1024,
             use_gru=False,
-            share_rnn_weights=False, )
+            rnn_direction="forward", )
         loss = model(self.audio, self.audio_len, self.text, self.text_len)
         self.assertEqual(loss.numel(), 1)
 
@@ -60,7 +60,7 @@ class TestDeepSpeech2Model(unittest.TestCase):
             num_rnn_layers=3,
             rnn_size=1024,
             use_gru=True,
-            share_rnn_weights=False, )
+            rnn_direction="forward", )
         loss = model(self.audio, self.audio_len, self.text, self.text_len)
         self.assertEqual(loss.numel(), 1)
 
@@ -72,7 +72,7 @@ class TestDeepSpeech2Model(unittest.TestCase):
             num_rnn_layers=3,
             rnn_size=1024,
             use_gru=False,
-            share_rnn_weights=True, )
+            rnn_direction="bidirect", )
         loss = model(self.audio, self.audio_len, self.text, self.text_len)
         self.assertEqual(loss.numel(), 1)
 
@@ -84,7 +84,7 @@ class TestDeepSpeech2Model(unittest.TestCase):
             num_rnn_layers=3,
             rnn_size=1024,
             use_gru=True,
-            share_rnn_weights=True, )
+            rnn_direction="bidirect", )
         loss = model(self.audio, self.audio_len, self.text, self.text_len)
         self.assertEqual(loss.numel(), 1)
 
@@ -96,7 +96,7 @@ class TestDeepSpeech2Model(unittest.TestCase):
             num_rnn_layers=3,
             rnn_size=1024,
             use_gru=False,
-            share_rnn_weights=False, )
+            rnn_direction="forward", )
         loss = model(self.audio, self.audio_len, self.text, self.text_len)
         self.assertEqual(loss.numel(), 1)
 

tests/unit/asr/deepspeech2_online_model_test.py

@@ -19,11 +19,11 @@ import numpy as np
 import paddle
 from paddle import inference
 
-from paddlespeech.s2t.models.ds2_online import DeepSpeech2InferModelOnline
-from paddlespeech.s2t.models.ds2_online import DeepSpeech2ModelOnline
+from paddlespeech.s2t.models.ds2 import DeepSpeech2InferModel
+from paddlespeech.s2t.models.ds2 import DeepSpeech2Model
 
 
-class TestDeepSpeech2ModelOnline(unittest.TestCase):
+class TestDeepSpeech2Model(unittest.TestCase):
     def setUp(self):
         paddle.set_device('cpu')
 
@@ -45,7 +45,7 @@ class TestDeepSpeech2ModelOnline(unittest.TestCase):
         self.text_len = paddle.to_tensor(text_len, dtype='int64')
 
     def test_ds2_1(self):
-        model = DeepSpeech2ModelOnline(
+        model = DeepSpeech2Model(
             feat_size=self.feat_dim,
             dict_size=10,
             num_conv_layers=2,
@@ -58,7 +58,7 @@ class TestDeepSpeech2ModelOnline(unittest.TestCase):
         self.assertEqual(loss.numel(), 1)
 
     def test_ds2_2(self):
-        model = DeepSpeech2ModelOnline(
+        model = DeepSpeech2Model(
             feat_size=self.feat_dim,
             dict_size=10,
             num_conv_layers=2,
@@ -71,7 +71,7 @@ class TestDeepSpeech2ModelOnline(unittest.TestCase):
         self.assertEqual(loss.numel(), 1)
 
     def test_ds2_3(self):
-        model = DeepSpeech2ModelOnline(
+        model = DeepSpeech2Model(
             feat_size=self.feat_dim,
             dict_size=10,
             num_conv_layers=2,
@@ -84,7 +84,7 @@ class TestDeepSpeech2ModelOnline(unittest.TestCase):
         self.assertEqual(loss.numel(), 1)
 
     def test_ds2_4(self):
-        model = DeepSpeech2ModelOnline(
+        model = DeepSpeech2Model(
             feat_size=self.feat_dim,
             dict_size=10,
             num_conv_layers=2,
@@ -97,7 +97,7 @@ class TestDeepSpeech2ModelOnline(unittest.TestCase):
         self.assertEqual(loss.numel(), 1)
 
     def test_ds2_5(self):
-        model = DeepSpeech2ModelOnline(
+        model = DeepSpeech2Model(
             feat_size=self.feat_dim,
             dict_size=10,
             num_conv_layers=2,
@@ -110,7 +110,7 @@ class TestDeepSpeech2ModelOnline(unittest.TestCase):
         self.assertEqual(loss.numel(), 1)
 
     def test_ds2_6(self):
-        model = DeepSpeech2ModelOnline(
+        model = DeepSpeech2Model(
             feat_size=self.feat_dim,
             dict_size=10,
             num_conv_layers=2,
@@ -125,7 +125,7 @@ class TestDeepSpeech2ModelOnline(unittest.TestCase):
 
     def test_ds2_7(self):
         use_gru = False
-        model = DeepSpeech2ModelOnline(
+        model = DeepSpeech2Model(
             feat_size=self.feat_dim,
             dict_size=10,
             num_conv_layers=2,
@@ -156,7 +156,7 @@ class TestDeepSpeech2ModelOnline(unittest.TestCase):
 
     def test_ds2_8(self):
         use_gru = True
-        model = DeepSpeech2ModelOnline(
+        model = DeepSpeech2Model(
             feat_size=self.feat_dim,
             dict_size=10,
             num_conv_layers=2,
@@ -191,7 +191,7 @@ class TestDeepSpeech2StaticModelOnline(unittest.TestCase):
         export_prefix = "exp/deepspeech2_online/checkpoints/test_export"
         if not os.path.exists(os.path.dirname(export_prefix)):
             os.makedirs(os.path.dirname(export_prefix), mode=0o755)
-        infer_model = DeepSpeech2InferModelOnline(
+        infer_model = DeepSpeech2InferModel(
             feat_size=161,
             dict_size=4233,
             num_conv_layers=2,

tests/unit/server/offline/test_server_client.sh

@@ -1,5 +1,7 @@
 #!/bin/bash
 # bash test_server_client.sh
+## require lsof to get server pid
+## apt-get install -y lsof
 
 StartService(){
     # Start service 

tests/unit/tts/test_data_table.py

@@ -11,7 +11,7 @@
 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-from paddlespeech.t2s.datasets.data_tabel import DataTable
+from paddlespeech.t2s.datasets.data_table import DataTable
 
 
 def test_audio_dataset():