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Merge pull request #1246 from yt605155624/fix_config

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[tts]fix config, test=tts
pull/1254/head
TianYuan 3 years ago committed by GitHub
parent b9a55262f1 326fcd520a
commit 6272496d9c
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7 changed files with 7 additions and 19 deletions
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5
examples/aishell3/voc1/conf/default.yaml
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@ -72,10 +72,7 @@ lambda_adv: 4.0 # Loss balancing coefficient.
########################################################### ###########################################################
batch_size: 8 # Batch size. batch_size: 8 # Batch size.
batch_max_steps: 24000 # Length of each audio in batch. Make sure dividable by n_shift. 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: 2 # Number of workers in 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.
########################################################### ###########################################################
# OPTIMIZER & SCHEDULER SETTING # # OPTIMIZER & SCHEDULER SETTING #

5
examples/csmsc/voc1/conf/default.yaml
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@ -79,10 +79,7 @@ lambda_adv: 4.0 # Loss balancing coefficient.
########################################################### ###########################################################
batch_size: 8 # Batch size. batch_size: 8 # Batch size.
batch_max_steps: 25500 # Length of each audio in batch. Make sure dividable by n_shift. 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 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.
########################################################### ###########################################################
# OPTIMIZER & SCHEDULER SETTING # # OPTIMIZER & SCHEDULER SETTING #

2
examples/csmsc/voc4/conf/default.yaml
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@ -88,7 +88,7 @@ discriminator_adv_loss_params:
batch_size: 32 # Batch size. batch_size: 32 # Batch size.
# batch_max_steps(24000) == prod(noise_upsample_scales)(80) * prod(upsample_scales)(300, n_shift) # 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. 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 # # OPTIMIZER & SCHEDULER SETTING #

2
examples/csmsc/voc5/conf/default.yaml
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@ -119,7 +119,7 @@ lambda_feat_match: 2.0 # Loss balancing coefficient for feat match loss..
########################################################### ###########################################################
batch_size: 16 # Batch size. batch_size: 16 # Batch size.
batch_max_steps: 8400 # Length of each audio in batch. Make sure dividable by hop_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 # # OPTIMIZER & SCHEDULER SETTING #

2
examples/csmsc/voc5/conf/finetune.yaml
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@ -119,7 +119,7 @@ lambda_feat_match: 2.0 # Loss balancing coefficient for feat match loss..
########################################################### ###########################################################
batch_size: 16 # Batch size. batch_size: 16 # Batch size.
batch_max_steps: 8400 # Length of each audio in batch. Make sure dividable by hop_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 # # OPTIMIZER & SCHEDULER SETTING #

5
examples/ljspeech/voc1/conf/default.yaml
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@ -72,10 +72,7 @@ lambda_adv: 4.0 # Loss balancing coefficient.
########################################################### ###########################################################
batch_size: 8 # Batch size. batch_size: 8 # Batch size.
batch_max_steps: 25600 # Length of each audio in batch. Make sure dividable by n_shift. 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: 2 # Number of workers in 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.
########################################################### ###########################################################
# OPTIMIZER & SCHEDULER SETTING # # OPTIMIZER & SCHEDULER SETTING #

5
examples/vctk/voc1/conf/default.yaml
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@ -72,10 +72,7 @@ lambda_adv: 4.0 # Loss balancing coefficient.
########################################################### ###########################################################
batch_size: 8 # Batch size. batch_size: 8 # Batch size.
batch_max_steps: 24000 # Length of each audio in batch. Make sure dividable by n_shift. 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: 2 # Number of workers in 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.
########################################################### ###########################################################
# OPTIMIZER & SCHEDULER SETTING # # OPTIMIZER & SCHEDULER SETTING #

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