| if_resume_training: false |
| device: cuda |
| load: false |
| load_path: '' |
| dataset_main_path: ./datasets |
| dataset_annotation_path: ./datasets/annotations |
| dataset_precomputed_path: ./datasets/processed |
| output_log_path: ./trained_models/hmp/amass/diffusion |
| pretrained_autoencoder_path: ./trained_models/hmp/amass/autoencoder/checkpoints/cvpr_release.pt |
| lr: 0.001 |
| diffusion_objective: pred_x0 |
| weight_decay: 0.0 |
| if_use_ema: true |
| step_start_ema: 100 |
| ema_power: 0.6666666666666666 |
| ema_update_every: 10 |
| ema_min_value: 0.0 |
| use_lr_scheduler: true |
| lr_scheduler_kwargs: |
| lr_scheduler_type: ExponentialLRSchedulerWarmup |
| warmup_duration: 75 |
| update_every: 2 |
| min_lr: 0.0001 |
| gamma_decay: 0.98 |
| diffusion_conditioning: true |
| num_epochs: 150 |
| num_workers: 4 |
| batch_size: 64 |
| batch_size_eval: 256 |
| eval_frequency: 25 |
| train_pick_best_sample_among_k: 50 |
| similarity_space: input_space |
| diffusion_activation: identity |
| num_prob_samples: 50 |
| diffusion_timesteps: 10 |
| diffusion_type: NonisotropicGaussianDiffusion |
| diffusion_loss_type: snr |
| loss_reduction_type: l1 |
| if_run_as_isotropic: false |
| if_sigma_n_scale: true |
| diffusion_covariance_type: skeleton-diffusion |
| gamma_scheduler: cosine |
| beta_schedule: cosine |
| sigma_n_scale: spectral |
| num_iter_perepoch: null |
| seed: 63485 |
| diffusion_arch: |
| arch: Denoiser |
| use_attention: true |
| self_condition: false |
| norm_type: none |
| depth: 4 |
| attn_dim_head: 32 |
| attn_heads: 8 |
| learn_influence: true |
| covariance_matrix_type: adjacency |
|
|
