diff --git a/examples/aishell3/voc1/conf/default.yaml b/examples/aishell3/voc1/conf/default.yaml index 88968d6f..7fbffbdd 100644 --- a/examples/aishell3/voc1/conf/default.yaml +++ b/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 # diff --git a/examples/csmsc/voc1/conf/default.yaml b/examples/csmsc/voc1/conf/default.yaml index 9ea81b8d..28d218ff 100644 --- a/examples/csmsc/voc1/conf/default.yaml +++ b/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 # diff --git a/examples/csmsc/voc4/conf/default.yaml b/examples/csmsc/voc4/conf/default.yaml index 6f7d0f2b..c9abf78d 100644 --- a/examples/csmsc/voc4/conf/default.yaml +++ b/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 # diff --git a/examples/csmsc/voc5/conf/default.yaml b/examples/csmsc/voc5/conf/default.yaml index 5192d389..f42fc385 100644 --- a/examples/csmsc/voc5/conf/default.yaml +++ b/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 # diff --git a/examples/csmsc/voc5/conf/finetune.yaml b/examples/csmsc/voc5/conf/finetune.yaml index 9876e93d..73420625 100644 --- a/examples/csmsc/voc5/conf/finetune.yaml +++ b/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 # diff --git a/examples/ljspeech/voc1/conf/default.yaml b/examples/ljspeech/voc1/conf/default.yaml index bef2d681..2d39beb7 100644 --- a/examples/ljspeech/voc1/conf/default.yaml +++ b/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 # diff --git a/examples/vctk/voc1/conf/default.yaml b/examples/vctk/voc1/conf/default.yaml index d95eaad9..aa382e21 100644 --- a/examples/vctk/voc1/conf/default.yaml +++ b/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 #