formatting

examples/hi_xiaowen/s0/conf/mdtc.yaml

@@ -1,15 +1,10 @@
-
-
 dataset_conf:
     filter_conf:
         max_length: 2048
         min_length: 0
-
     resample_conf:
         resample_rate: 16000
-
     speed_perturb: false
-
     feature_extraction_conf:
         feature_type: 'mfcc'
         num_ceps: 80
@@ -17,17 +12,13 @@ dataset_conf:
         frame_shift: 10
         frame_length: 25
         dither: 1.0
-
     feature_dither: 0.0
-
     spec_aug: true
     spec_aug_conf:
-        #warp_for_time: false
         num_t_mask: 1
         num_f_mask: 1
         max_t: 20
         max_f: 40
-    
     shuffle: true
     shuffle_conf:
         shuffle_size: 1500
@@ -35,8 +26,6 @@ dataset_conf:
         batch_size: 100
 
 model:
-    input_dim: 80
-    output_dim: 2
     hidden_dim: 64
     preprocessing:
         type: none
@@ -50,7 +39,6 @@ model:
 optim: adam
 optim_conf:
     lr: 0.001
-    #warmup_step: 2000
 
 training_config:
     grad_clip: 5

kws/model/loss.py

@@ -13,7 +13,6 @@
 # limitations under the License.
 
 import torch
-import torch.nn.functional as F
 
 from kws.utils.mask import padding_mask
 

kws/model/mdtc.py

@@ -13,8 +13,6 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-import numpy as np
-
 import torch
 import torch.nn as nn
 import torch.nn.functional as F

kws/model/tcn.py

@@ -13,7 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-from typing import List, Optional
+from typing import Optional
 
 import torch
 import torch.nn as nn