# lightning.pytorch==2.2.5
seed_everything: 0
trainer:
  accelerator: gpu
  strategy: ddp_find_unused_parameters_true
  devices: 2
  num_nodes: 1
  precision: 16-mixed
  logger:
    class_path: lightning.pytorch.loggers.TensorBoardLogger
    init_args:
      save_dir: vq_audio_log/simvq_8k
      name: null
      version: 1second
      log_graph: false
      default_hp_metric: true
      prefix: ''
      sub_dir: null
      comment: ''
      purge_step: null
      max_queue: 10
      flush_secs: 120
      filename_suffix: ''
  callbacks:
  - class_path: lightning.pytorch.callbacks.ModelCheckpoint
    init_args:
      dirpath: vq_audio_log/simvq_8k
      filename: null
      monitor: null
      verbose: false
      save_last: null
      save_top_k: -1
      save_weights_only: false
      mode: min
      auto_insert_metric_name: true
      every_n_train_steps: null
      train_time_interval: null
      every_n_epochs: null
      save_on_train_epoch_end: null
      enable_version_counter: true
  - class_path: lightning.pytorch.callbacks.LearningRateMonitor
    init_args:
      logging_interval: step
      log_momentum: false
      log_weight_decay: false
  fast_dev_run: false
  max_epochs: 50
  min_epochs: null
  max_steps: -1
  min_steps: null
  max_time: null
  limit_train_batches: null
  limit_val_batches: null
  limit_test_batches: null
  limit_predict_batches: null
  overfit_batches: 0.0
  val_check_interval: null
  check_val_every_n_epoch: 1
  num_sanity_val_steps: 0
  log_every_n_steps: 100
  enable_checkpointing: null
  enable_progress_bar: null
  enable_model_summary: null
  accumulate_grad_batches: 1
  gradient_clip_val: null
  gradient_clip_algorithm: null
  deterministic: null
  benchmark: null
  inference_mode: true
  use_distributed_sampler: true
  profiler: null
  detect_anomaly: false
  barebones: false
  plugins: null
  sync_batchnorm: false
  reload_dataloaders_every_n_epochs: 0
  default_root_dir: null
ckpt_path: null
model:
  class_path: taming.models.vq_audio.VQModel
  init_args:
    ddconfig:
      causal: true
      dimension: 512
    lossconfig:
      target: taming.modules.losses.stft.VQSTFTWithDiscriminator
      params:
        disc_conditional: false
        disc_in_channels: 1
        disc_start: 0
        codebook_enlarge_ratio: 0
        codebook_enlarge_steps: 2000
        sample_rate: 24000
        commit_weight: 1000.0
        gen_loss_weight: 1.0
        mel_loss_coeff: 45.0
        mrd_loss_coeff: 1.0
    quantconfig:
      target: taming.modules.vqvae.quantize.SimVQ1D
      params:
        n_e: 8192
        e_dim: 512
        beta: 0.25
        legacy: false
    sample_rate: 24000
    target_bandwidths: null
    audio_normalize: false
    segment: None
    ckpt_path: null
    ignore_keys: []
    colorize_nlabels: null
    monitor: null
    learning_rate: 0.0001
    warmup_epochs: 1.0
    scheduler_type: None
    min_learning_rate: 0
    use_ema: true
    stage: null
data:
  class_path: main.PadDataModuleFromConfig
  init_args:
    batch_size: 64
    train:
      target: taming.data.libritts.LibriTTSTrain
      params:
        config:
          sample_rate: 24000
          channels: 1
          clip_seconds: 1
    validation:
      target: taming.data.libritts.LibriTTSDev
      params:
        config:
          sample_rate: 24000
          channels: 1
          clip_seconds: 1
    test:
      target: taming.data.libritts.LibriTTSTest
      params:
        config:
          sample_rate: 24000
          channels: 1
          clip_seconds: -1
    wrap: false
    num_workers: 8