fix ci and import

deepspeech/decoders/tests/test_decoders.py

@@ -14,7 +14,7 @@
 """Test decoders."""
 
 import unittest
-from decoders import decoders_deprecated as decoder
+from deepspeech.decoders import decoders_deprecated as decoder
 
 
 class TestDecoders(unittest.TestCase):

deepspeech/exps/deepspeech2/config.py

@@ -13,7 +13,7 @@
 # limitations under the License.
 
 from yacs.config import CfgNode as CN
-from deepspeech.models.DeepSpeech2 import DeepSpeech2Model
+from deepspeech.models.deepspeech2 import DeepSpeech2Model
 
 _C = CN()
 _C.data = CN(

deepspeech/exps/deepspeech2/model.py

@@ -44,7 +44,7 @@ from deepspeech.io.sampler import SortagradBatchSampler
 from deepspeech.io.dataset import ManifestDataset
 
 from deepspeech.training.loss import CTCLoss
-from deepspeech.models.DeepSpeech2 import DeepSpeech2Model
+from deepspeech.models.deepspeech2 import DeepSpeech2Model
 
 logger = logging.getLogger(__name__)
 

deepspeech/models/deepspeech2.py

@@ -25,7 +25,7 @@ from paddle.nn import functional as F
 from paddle.nn import initializer as I
 
 from deepspeech.modules.conv import ConvStack
-from deepspeech.modules.conv import RNNStack
+from deepspeech.modules.rnn import RNNStack
 from deepspeech.modules.mask import sequence_mask
 from deepspeech.modules.activation import brelu
 from deepspeech.utils import checkpoint
@@ -79,7 +79,7 @@ class DeepSpeech2Model(nn.Layer):
                 share_rnn_weights=True  #Whether to share input-hidden weights between forward and backward directional RNNs.Notice that for GRU, weight sharing is not supported.
             ))
         if config is not None:
-            config.model.merge_from_other_cfg(default)
+            config.merge_from_other_cfg(default)
         return default
 
     def __init__(self,

deepspeech/modules/rnn.py

@@ -12,6 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import math
 import logging
 
 import paddle

deepspeech/training/gradclip.py

@@ -14,6 +14,7 @@
 
 import logging
 
+import paddle
 from paddle.fluid.dygraph import base as imperative_base
 from paddle.fluid import layers
 from paddle.fluid import core