|
| 1 | +# preprocessing |
| 2 | +binarizer_cls: preprocessing.BaseBinarizer |
| 3 | +raw_data_dir: [] |
| 4 | +binary_data_dir: null |
| 5 | +binarization_args: |
| 6 | + num_workers: 8 |
| 7 | + shuffle: true |
| 8 | + |
| 9 | +DataIndexPath: data |
| 10 | +valid_set_name: valid |
| 11 | +train_set_name: train |
| 12 | + |
| 13 | + |
| 14 | +volume_aug: true |
| 15 | +volume_aug_prob: 0.5 |
| 16 | + |
| 17 | + |
| 18 | +mel_vmin: -6. #-6. |
| 19 | +mel_vmax: 1.5 |
| 20 | + |
| 21 | + |
| 22 | +audio_sample_rate: 44100 |
| 23 | +audio_num_mel_bins: 128 |
| 24 | +hop_size: 512 # Hop size. |
| 25 | +fft_size: 2048 # FFT size. |
| 26 | +win_size: 2048 # FFT size. |
| 27 | +fmin: 40 |
| 28 | +fmax: 16000 |
| 29 | +fmax_for_loss: null |
| 30 | +crop_mel_frames: 5 |
| 31 | +test_prefixes: [] |
| 32 | + |
| 33 | +pe: rmvpe |
| 34 | +pe_ckpt: pretrained/rmvpe/model.pt |
| 35 | + |
| 36 | +# global constants |
| 37 | + |
| 38 | + |
| 39 | +# neural networks |
| 40 | + |
| 41 | + |
| 42 | +#model_cls: training.nsf_HiFigan_task.nsf_HiFigan |
| 43 | +model_args: |
| 44 | + upsample_rates: [ 8, 8, 2, 2, 2 ] |
| 45 | + upsample_kernel_sizes: [ 16,16, 4, 4, 4 ] |
| 46 | + upsample_initial_channel: 512 |
| 47 | + resblock_kernel_sizes: [ 3,7,11 ] |
| 48 | + resblock_dilation_sizes: [ [ 1,3,5 ], [ 1,3,5 ], [ 1,3,5 ] ] |
| 49 | + discriminator_periods: [ 3, 5, 7, 11, 17, 23, 37 ] |
| 50 | + resblock: "1" |
| 51 | + |
| 52 | +# training |
| 53 | +use_midi_loss: true |
| 54 | +use_bound_loss: true |
| 55 | +task_cls: training.nsf_HiFigan_task.nsf_HiFigan |
| 56 | + |
| 57 | + |
| 58 | +#sort_by_len: true |
| 59 | +#optimizer_args: |
| 60 | +# optimizer_cls: torch.optim.AdamW |
| 61 | +# lr: 0.0001 |
| 62 | +# beta1: 0.9 |
| 63 | +# beta2: 0.98 |
| 64 | +# weight_decay: 0 |
| 65 | +#lab_aux_loss: 0.5 |
| 66 | +discriminate_optimizer_args: |
| 67 | + optimizer_cls: torch.optim.AdamW |
| 68 | + lr: 0.00001 |
| 69 | + beta1: 0.9 |
| 70 | + beta2: 0.98 |
| 71 | + weight_decay: 0 |
| 72 | + |
| 73 | +generater_optimizer_args: |
| 74 | + optimizer_cls: torch.optim.AdamW |
| 75 | + lr: 0.00001 |
| 76 | + beta1: 0.9 |
| 77 | + beta2: 0.98 |
| 78 | + weight_decay: 0 |
| 79 | + |
| 80 | +lr_scheduler_args: |
| 81 | + scheduler_cls: lr_scheduler.scheduler.WarmupLR |
| 82 | + warmup_steps: 5000 |
| 83 | + min_lr: 0.00001 |
| 84 | + |
| 85 | +clip_grad_norm: 1 |
| 86 | +accumulate_grad_batches: 1 |
| 87 | +sampler_frame_count_grid: 6 |
| 88 | +ds_workers: 4 |
| 89 | +dataloader_prefetch_factor: 2 |
| 90 | + |
| 91 | +batch_size: 2 |
| 92 | + |
| 93 | + |
| 94 | + |
| 95 | +num_valid_plots: 100 |
| 96 | +log_interval: 100 |
| 97 | +num_sanity_val_steps: 5 # steps of validation at the beginning |
| 98 | +val_check_interval: 8000 |
| 99 | +num_ckpt_keep: 5 |
| 100 | +max_updates: 100000 |
| 101 | +permanent_ckpt_start: 200000 |
| 102 | +permanent_ckpt_interval: 40000 |
| 103 | + |
| 104 | +########### |
| 105 | +# pytorch lightning |
| 106 | +# Read https://lightning.ai/docs/pytorch/stable/common/trainer.html#trainer-class-api for possible values |
| 107 | +########### |
| 108 | +pl_trainer_accelerator: 'auto' |
| 109 | +pl_trainer_devices: 'auto' |
| 110 | +pl_trainer_precision: '32-true' |
| 111 | +#pl_trainer_precision: 'bf16' #please do not use bf 16 |
| 112 | +pl_trainer_num_nodes: 1 |
| 113 | +pl_trainer_strategy: 'auto' |
| 114 | +ddp_backend: 'nccl' # choose from 'gloo', 'nccl', 'nccl_no_p2p' |
| 115 | +seed: 114514 |
| 116 | + |
| 117 | +########### |
| 118 | +# finetune |
| 119 | +########### |
| 120 | + |
| 121 | +finetune_enabled: true |
| 122 | +finetune_ckpt_path: hifi.ckpt |
| 123 | +finetune_ignored_params: [] |
| 124 | +finetune_strict_shapes: true |
| 125 | + |
| 126 | +freezing_enabled: false |
| 127 | +frozen_params: [] |
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