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Runtime error
Runtime error
data: | |
sampling_rate: 44100 | |
block_size: 512 # Equal to hop_length | |
duration: 2 # Audio duration during training, must be less than the duration of the shortest audio clip | |
encoder: 'vec768l12' # 'hubertsoft', 'vec256l9', 'vec768l12' | |
cnhubertsoft_gate: 10 | |
encoder_sample_rate: 16000 | |
encoder_hop_size: 320 | |
encoder_out_channels: 768 # 256 if using 'hubertsoft' | |
training_files: "filelists/train.txt" | |
validation_files: "filelists/val.txt" | |
extensions: # List of extension included in the data collection | |
- wav | |
unit_interpolate_mode: "nearest" | |
model: | |
type: 'Diffusion' | |
n_layers: 20 | |
n_chans: 512 | |
n_hidden: 256 | |
use_pitch_aug: true | |
timesteps : 1000 | |
k_step_max: 0 # must <= timesteps, If it is 0, train all | |
n_spk: 1 # max number of different speakers | |
device: cuda | |
vocoder: | |
type: 'nsf-hifigan' | |
ckpt: 'pretrain/nsf_hifigan/model' | |
infer: | |
speedup: 10 | |
method: 'dpm-solver++' # 'pndm' or 'dpm-solver' or 'ddim' or 'unipc' or 'dpm-solver++' | |
env: | |
expdir: logs/44k/diffusion | |
gpu_id: 0 | |
train: | |
num_workers: 4 # If your cpu and gpu are both very strong, set to 0 may be faster! | |
amp_dtype: fp32 # fp32, fp16 or bf16 (fp16 or bf16 may be faster if it is supported by your gpu) | |
batch_size: 48 | |
cache_all_data: true # Save Internal-Memory or Graphics-Memory if it is false, but may be slow | |
cache_device: 'cpu' # Set to 'cuda' to cache the data into the Graphics-Memory, fastest speed for strong gpu | |
cache_fp16: true | |
epochs: 100000 | |
interval_log: 10 | |
interval_val: 2000 | |
interval_force_save: 5000 | |
lr: 0.0001 | |
decay_step: 100000 | |
gamma: 0.5 | |
weight_decay: 0 | |
save_opt: false | |
spk: | |
'nyaru': 0 |