checkpoint: save_epoch: 9999999999 save_iter: 5000 save_latest_iter: 9999999999 save_period: 9999999999 strict_resume: true cudnn: benchmark: true deterministic: false data: name: dummy num_images: 100 num_workers: 4 preload: true readjust: center: - 0.0 - 0.0 - 0.0 scale: 1.0 root: datasets/lego_skip2/dense train: batch_size: 1 image_size: - 799 - 799 subset: null type: projects.neuralangelo.data use_multi_epoch_loader: true val: batch_size: 1 image_size: - 300 - 300 max_viz_samples: 16 subset: 4 image_save_iter: 9999999999 inference_args: {} local_rank: 0 logdir: logs/lego_group/lego logging_iter: 9999999999999 max_epoch: 9999999999 max_iter: 500000 metrics_epoch: null metrics_iter: null model: appear_embed: dim: 8 enabled: true background: enabled: true encoding: levels: 10 type: fourier encoding_view: levels: 3 type: spherical mlp: activ: relu activ_density: softplus activ_density_params: {} activ_params: {} hidden_dim: 256 hidden_dim_rgb: 128 num_layers: 8 num_layers_rgb: 2 skip: - 4 skip_rgb: [] view_dep: true white: false object: rgb: encoding_view: levels: 3 type: spherical mlp: activ: relu_ activ_params: {} hidden_dim: 256 num_layers: 4 skip: [] weight_norm: true mode: idr s_var: anneal_end: 0.1 init_val: 3.0 sdf: encoding: coarse2fine: enabled: true init_active_level: 4 step: 5000 hashgrid: dict_size: 22 dim: 8 max_logres: 11 min_logres: 5 range: - -2 - 2 levels: 16 type: hashgrid gradient: mode: numerical taps: 4 mlp: activ: softplus activ_params: beta: 100 geometric_init: true hidden_dim: 256 inside_out: false num_layers: 1 out_bias: 0.5 skip: [] weight_norm: true render: num_sample_hierarchy: 4 num_samples: background: 32 coarse: 64 fine: 16 rand_rays: 512 stratified: true type: projects.neuralangelo.model nvtx_profile: false optim: fused_opt: false params: lr: 0.001 weight_decay: 0.01 sched: gamma: 10.0 iteration_mode: true step_size: 9999999999 two_steps: - 300000 - 400000 type: two_steps_with_warmup warm_up_end: 5000 type: AdamW pretrained_weight: null source_filename: /content/neuralangelo/projects/neuralangelo/configs/custom/lego.yaml speed_benchmark: false test_data: name: dummy num_workers: 0 test: batch_size: 1 is_lmdb: false roots: null type: imaginaire.datasets.images timeout_period: 9999999 trainer: amp_config: backoff_factor: 0.5 enabled: false growth_factor: 2.0 growth_interval: 2000 init_scale: 65536.0 ddp_config: find_unused_parameters: false static_graph: true depth_vis_scale: 0.5 ema_config: beta: 0.9999 enabled: false load_ema_checkpoint: false start_iteration: 0 grad_accum_iter: 1 image_to_tensorboard: false init: gain: null type: none loss_weight: curvature: 0.0005 eikonal: 0.1 render: 1.0 type: projects.neuralangelo.trainer validation_iter: 50000 wandb_image_iter: 1000 wandb_scalar_iter: 100