fix config, test=tts

examples/aishell3/voc1/conf/default.yaml

@@ -72,10 +72,7 @@ lambda_adv: 4.0  # Loss balancing coefficient.
 ###########################################################
 batch_size: 8              # Batch size.
 batch_max_steps: 24000     # Length of each audio in batch. Make sure dividable by n_shift.
-pin_memory: true           # Whether to pin memory in Pytorch DataLoader.
-num_workers: 4             # Number of workers in Pytorch DataLoader.
-remove_short_samples: true # Whether to remove samples the length of which are less than batch_max_steps.
-allow_cache: true          # Whether to allow cache in dataset. If true, it requires cpu memory.
+num_workers: 2             # Number of workers in DataLoader.
 
 ###########################################################
 #             OPTIMIZER & SCHEDULER SETTING               #

examples/csmsc/voc1/conf/default.yaml

@@ -79,10 +79,7 @@ lambda_adv: 4.0  # Loss balancing coefficient.
 ###########################################################
 batch_size: 8              # Batch size.
 batch_max_steps: 25500     # Length of each audio in batch. Make sure dividable by n_shift.
-pin_memory: true           # Whether to pin memory in Pytorch DataLoader.
-num_workers: 2             # Number of workers in Pytorch DataLoader.
-remove_short_samples: true # Whether to remove samples the length of which are less than batch_max_steps.
-allow_cache: true          # Whether to allow cache in dataset. If true, it requires cpu memory.
+num_workers: 2             # Number of workers in DataLoader.
 
 ###########################################################
 #             OPTIMIZER & SCHEDULER SETTING               #

examples/csmsc/voc4/conf/default.yaml

@@ -88,7 +88,7 @@ discriminator_adv_loss_params:
 batch_size: 32              # Batch size.
 # batch_max_steps(24000) == prod(noise_upsample_scales)(80) * prod(upsample_scales)(300, n_shift)
 batch_max_steps: 24000      # Length of each audio in batch. Make sure dividable by n_shift.
-num_workers: 2              # Number of workers in Pytorch DataLoader.
+num_workers: 2              # Number of workers in DataLoader.
 
 ###########################################################
 #             OPTIMIZER & SCHEDULER SETTING               #

examples/csmsc/voc5/conf/default.yaml

@@ -119,7 +119,7 @@ lambda_feat_match: 2.0 # Loss balancing coefficient for feat match loss..
 ###########################################################
 batch_size: 16              # Batch size.
 batch_max_steps: 8400       # Length of each audio in batch. Make sure dividable by hop_size.
-num_workers: 2              # Number of workers in Pytorch DataLoader.
+num_workers: 2              # Number of workers in DataLoader.
 
 ###########################################################
 #             OPTIMIZER & SCHEDULER SETTING               #

examples/csmsc/voc5/conf/finetune.yaml

@@ -119,7 +119,7 @@ lambda_feat_match: 2.0 # Loss balancing coefficient for feat match loss..
 ###########################################################
 batch_size: 16              # Batch size.
 batch_max_steps: 8400       # Length of each audio in batch. Make sure dividable by hop_size.
-num_workers: 2              # Number of workers in Pytorch DataLoader.
+num_workers: 2              # Number of workers in DataLoader.
 
 ###########################################################
 #             OPTIMIZER & SCHEDULER SETTING               #

examples/ljspeech/voc1/conf/default.yaml

@@ -72,10 +72,7 @@ lambda_adv: 4.0  # Loss balancing coefficient.
 ###########################################################
 batch_size: 8              # Batch size.
 batch_max_steps: 25600     # Length of each audio in batch. Make sure dividable by n_shift.
-pin_memory: true           # Whether to pin memory in Pytorch DataLoader.
-num_workers: 4             # Number of workers in Pytorch DataLoader.
-remove_short_samples: true # Whether to remove samples the length of which are less than batch_max_steps.
-allow_cache: true          # Whether to allow cache in dataset. If true, it requires cpu memory.
+num_workers: 2             # Number of workers in DataLoader.
 
 ###########################################################
 #             OPTIMIZER & SCHEDULER SETTING               #

examples/vctk/voc1/conf/default.yaml

@@ -72,10 +72,7 @@ lambda_adv: 4.0  # Loss balancing coefficient.
 ###########################################################
 batch_size: 8              # Batch size.
 batch_max_steps: 24000     # Length of each audio in batch. Make sure dividable by n_shift.
-pin_memory: true           # Whether to pin memory in Pytorch DataLoader.
-num_workers: 4             # Number of workers in Pytorch DataLoader.
-remove_short_samples: true # Whether to remove samples the length of which are less than batch_max_steps.
-allow_cache: true          # Whether to allow cache in dataset. If true, it requires cpu memory.
+num_workers: 2             # Number of workers in DataLoader.
 
 ###########################################################
 #             OPTIMIZER & SCHEDULER SETTING               #