base_config: ${base_config_path}/train_ddp.yaml sr: 16000 n_fft: 512 hop_length: 160 n_mic: 8 n_src: 6 dim_latent: 64 autocast: True trainer: max_epochs: 200 gradient_clip_val: 5.0 sync_batchnorm: True precision: 16-mixed benchmark: True use_distributed_sampler: False callbacks: - _target_: lightning.pytorch.callbacks.ModelCheckpoint filename: "{epoch:04d}" save_last: True save_top_k: -1 - _target_: lightning.pytorch.callbacks.RichProgressBar refresh_rate: 5 - _target_: lightning.pytorch.callbacks.RichModelSummary max_depth: 3 - _target_: neural_fcasa.callbacks.cyclic_annealer.CyclicAnnealerCallback name: beta cycle: 10 max_value: 1.0 ini_period: 50 ini_max_value: 1.0 - _target_: neural_fcasa.callbacks.visualizer.VisualizerCallback dataset_name: chunk.derev-hop${hop_length} datamodule: _target_: neural_fcasa.datamodules.hdf5_wavact_datamodule.DataModule train_dataset_path: ${working_directory}/../../hdf5/${dataset_name}-tr.hdf5 val_dataset_path: ${working_directory}/../../hdf5/${dataset_name}-cv.hdf5 batch_size: 2 duration: 10 sr: ${sr} hop_length: ${hop_length} task: _target_: neural_fcasa.tasks.avi_scl_allsort_task.AVITask n_fft: ${n_fft} hop_length: ${hop_length} n_src: ${n_src} beta: 1.0 gamma: 1.0 encoder: _target_: neural_fcasa.encoders.resepformer_encoder.RESepFormerEncoder n_fft: ${n_fft} n_mic: ${n_mic} n_src: ${n_src} dim_latent: ${dim_latent} chunk_size: 100 step_size: 100 d_model: 256 dim_feedforward: 1024 n_blocks: 8 norm_first: True autocast: ${autocast} diagonalizer: _target_: neural_fcasa.diagonalizers.iss_nrmxt_diagonalizer.ISSDiagonalizer eps: 1.e-4 n_iter: 2 spec_aug: _target_: torchaudio.transforms.SpecAugment n_time_masks: 2 time_mask_param: 64 n_freq_masks: 2 freq_mask_param: 20 zero_masking: True decoder: _target_: neural_fcasa.decoders.res_lin_decoder.Decoder n_fft: ${n_fft} dim_latent: ${dim_latent} dim_latent_noi: 10 optimizer_config: _target_: aiaccel.torch.lightning.OptimizerConfig optimizer_generator: _partial_: True _target_: torch.optim.AdamW lr: 1.e-4 weight_decay: 1.e-5