fix unit test (#3835)

pull/3841/head
zxcd 3 months ago committed by GitHub
parent a9ece28ba6
commit d9eb82a632
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@ -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)

@ -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,

@ -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

@ -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():

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