| bash_name: ../exp/tmp/2022_0424_1457_15.sh | |
| clipforge: | |
| clip_model: ViT-B/32 | |
| enable: 1 | |
| feat_dim: 512 | |
| cmt: l2e-4 | |
| comet_key: '' | |
| data: | |
| batch_size: 10 | |
| batch_size_test: 10 | |
| cates: car | |
| clip_forge_enable: 1 | |
| clip_model: ViT-B/32 | |
| cond_on_cat: 0 | |
| cond_on_voxel: 0 | |
| data_dir: data/ShapeNetCore.v2.PC15k | |
| dataset_scale: 1 | |
| dataset_type: shapenet15k | |
| eval_test_split: 0 | |
| input_dim: 3 | |
| is_encode_whole_dataset_trainer: 0 | |
| nclass: 55 | |
| noise_std: 0.1 | |
| noise_std_min: -1.0 | |
| noise_type: normal | |
| normalize_global: true | |
| normalize_per_shape: false | |
| normalize_range: false | |
| normalize_shape_box: false | |
| normalize_std_per_axis: false | |
| num_workers: 4 | |
| random_subsample: 1 | |
| recenter_per_shape: false | |
| sample_with_replacement: 1 | |
| te_max_sample_points: 2048 | |
| tr_max_sample_points: 2048 | |
| train_drop_last: 1 | |
| type: datasets.neuralspline_datasets | |
| voxel_size: 0.1 | |
| ddpm: | |
| add_point_feat: true | |
| attn: | |
| - 0 | |
| - 1 | |
| - 0 | |
| - 0 | |
| beta_1: 0.0001 | |
| beta_T: 0.02 | |
| clip_denoised: 0 | |
| ddim_step: 200 | |
| dropout: 0.1 | |
| ema: 1 | |
| input_dim: 3 | |
| loss_type: l1_sum | |
| loss_type_0: '' | |
| loss_weight_cdnorm: 1.0 | |
| loss_weight_emd: 1.0 | |
| model_mean_type: eps | |
| model_var_type: fixedlarge | |
| ncenter: | |
| - 1024 | |
| - 256 | |
| - 64 | |
| - 16 | |
| num_layers_classifier: 3 | |
| num_steps: 1000 | |
| p2_gamma: 1.0 | |
| p2_k: 1.0 | |
| sched_mode: linear | |
| time_dim: 64 | |
| use_bn: false | |
| use_global_attn: 0 | |
| use_gn: true | |
| use_new_timeemb: 0 | |
| use_p2_weight: 0 | |
| with_se: 0 | |
| dpm: | |
| train_encoder_only: 0 | |
| dpm_ckpt: '' | |
| eval: | |
| load_other_vae_ckpt: 0 | |
| need_denoise: 0 | |
| eval_ddim_step: 0 | |
| eval_trainnll: 0 | |
| exp_name: 0424/nscar/751100h_train_l2e-4_vae_adainB20l1E3W8 | |
| has_shapelatent: 1 | |
| hash: 751100h | |
| latent_pts: | |
| ada_mlp_init_scale: 0.1 | |
| decoder_layer_out_dim: 32 | |
| encoder_layer_out_dim: 32 | |
| hid: 64 | |
| latent_dim_ext: | |
| - 64 | |
| mask_out_extra_latent: 0 | |
| normalization: bn | |
| pts_sigma_offset: 0.0 | |
| pvd_mse_loss: 1 | |
| skip_weight: 0.01 | |
| style_dim: 128 | |
| style_encoder: models.shapelatent_modules.PointNetPlusEncoder | |
| style_mlp: '' | |
| style_prior: models.score_sde.resnet.PriorSEClip | |
| use_linear_for_adagn: 0 | |
| weight_kl_feat: 1.0 | |
| weight_kl_glb: 1.0 | |
| weight_kl_pt: 1.0 | |
| log_dir: ../exp/0424/nscar/751100h_train_l2e-4_vae_adainB20l1E3W8 | |
| log_name: ../exp/0424/nscar/751100h_train_l2e-4_vae_adainB20l1E3W8 | |
| model_config: default | |
| ngpu: 8 | |
| num_ref: 0 | |
| num_val_samples: 24 | |
| save_dir: ../exp/0424/nscar/751100h_train_l2e-4_vae_adainB20l1E3W8 | |
| sde: | |
| attn_mhead: 0 | |
| attn_mhead_local: -1 | |
| autocast_train: false | |
| beta_end: 20.0 | |
| beta_start: 0.1 | |
| bound_mlogit: 0 | |
| bound_mlogit_value: -5.42 | |
| condition_add: 1 | |
| condition_cat: 0 | |
| cont_kl_anneal: true | |
| dae_checkpoint: '' | |
| dataset: shape | |
| ddim_kappa: 1.0 | |
| ddim_skip_type: uniform | |
| denoising_stddevs: beta | |
| diffusion_steps: 1000 | |
| drop_inactive_var: 0 | |
| dropout: 0.3 | |
| ema_decay: 0.9999 | |
| embedding_dim: 128 | |
| embedding_scale: 1.0 | |
| embedding_type: positional | |
| epochs: 800 | |
| fir: false | |
| global_prior_ckpt: '' | |
| grad_clip_max_norm: 0.0 | |
| hier_prior: 0 | |
| hypara_mixing_logit: 0 | |
| init_t: 1.0 | |
| is_continues: 0 | |
| iw_sample_p: ll_iw | |
| iw_sample_q: reweight_p_samples | |
| iw_subvp_like_vp_sde: false | |
| jac_reg_coeff: 0 | |
| jac_reg_freq: 1 | |
| kin_reg_coeff: 0 | |
| kl_anneal_portion_vada: 0.5 | |
| kl_balance_vada: false | |
| kl_const_coeff_vada: 1.0e-07 | |
| kl_const_portion_vada: 0.0 | |
| kl_max_coeff_vada: 0.5 | |
| learn_mixing_logit: 1 | |
| learning_rate_dae: 0.0002 | |
| learning_rate_dae_local: 0.0003 | |
| learning_rate_min_dae: 0.0002 | |
| learning_rate_min_dae_local: 0.0003 | |
| learning_rate_min_vae: 1.0e-05 | |
| learning_rate_mlogit: -1.0 | |
| learning_rate_vae: 0.0001 | |
| local_prior: same_as_global | |
| mixed_prediction: false | |
| mixing_logit_init: -6 | |
| nhead: 4 | |
| num_cell_per_scale_dae: 8 | |
| num_cell_per_scale_dae_local: 0 | |
| num_channels_dae: 2048 | |
| num_latent_scales: 1 | |
| num_preprocess_blocks: 2 | |
| num_scales_dae: 2 | |
| ode_eps: 1.0e-05 | |
| ode_sample: 0 | |
| pool_feat_cat: 0 | |
| pos_embed: none | |
| prior_model: models.latent_points_ada_localprior.PVCNN2Prior | |
| progressive: none | |
| progressive_combine: sum | |
| progressive_input: none | |
| regularize_mlogit: 0 | |
| regularize_mlogit_margin: 0.0 | |
| sde_type: vpsde | |
| share_mlogit: 0 | |
| sigma2_0: 0.0 | |
| sigma2_max: 0.99 | |
| sigma2_min: 0.0001 | |
| time_emb_scales: 1.0 | |
| time_eps: 0.01 | |
| train_dae: 1 | |
| train_ode_solver_tol: 1.0e-05 | |
| train_vae: false | |
| update_q_ema: false | |
| use_adam: true | |
| use_adamax: false | |
| vae_checkpoint: ../exp/0415/nscar/4fec21h_hvae_kl0.5N32H1Anneall1_sumWlrInitScale_vae_adainB32l1E3W4/checkpoints/epoch_5999_iters_245999.pt | |
| warmup_epochs: 20 | |
| weight_decay: 0.0003 | |
| weight_decay_norm_dae: 0.0 | |
| weight_decay_norm_vae: 0.0 | |
| set_detect_anomaly: 0 | |
| shapelatent: | |
| decoder_num_points: 2048 | |
| decoder_type: models.latent_points_ada.LatentPointDecPVC | |
| encoder_type: models.latent_points_ada.PointTransPVC | |
| eps_z_global_only: 1 | |
| freeze_vae: 0 | |
| kl_weight: 0.5 | |
| latent_dim: 1 | |
| local_emb_agg: mean | |
| log_sigma_offset: 6.0 | |
| loss0_weight: 1.0 | |
| model: models.vae_adain | |
| prior_type: normal | |
| residual: 1 | |
| snapshot_min: 30 | |
| test_size: 660 | |
| trainer: | |
| anneal_kl: 1 | |
| apply_loss_weight_1_kl: 0 | |
| epochs: 18000 | |
| kl_balance: 0 | |
| kl_free: | |
| - 0 | |
| - 0 | |
| kl_ratio: | |
| - 1.0 | |
| - 1.0 | |
| kl_ratio_apply: 0 | |
| loss1_weight_anneal_v: quad | |
| opt: | |
| beta1: 0.9 | |
| beta2: 0.99 | |
| ema_decay: 0.9999 | |
| grad_clip: -1.0 | |
| lr: 0.001 | |
| lr_min: 0.0001 | |
| momentum: 0.9 | |
| scheduler: '' | |
| start_ratio: 0.6 | |
| step_decay: 0.998 | |
| type: adam | |
| vae_lr_warmup_epochs: 0 | |
| weight_decay: 0.0 | |
| rec_balance: 0 | |
| seed: 1 | |
| sn_reg_vae: 0 | |
| sn_reg_vae_weight: 0.0 | |
| type: trainers.train_2prior | |
| use_grad_scalar: 0 | |
| use_kl_free: 0 | |
| warmup_epochs: 0 | |
| use_checkpoint: 0 | |
| vis_latent_point: 1 | |
| viz: | |
| log_freq: -1 | |
| save_freq: 1000 | |
| val_freq: -10000 | |
| vis_sample_ddim_step: 0 | |
| viz_freq: -100 | |
| viz_order: | |
| - 2 | |
| - 0 | |
| - 1 | |
| voxel2pts: | |
| diffusion_steps: | |
| - 0 | |
| init_weight: '' | |
| weight_recont: 1.0 | |