thanks to NVlabs ❤
Browse files
lego/config.yaml
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| 1 |
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checkpoint:
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save_epoch: 9999999999
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save_iter: 5000
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save_latest_iter: 9999999999
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save_period: 9999999999
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strict_resume: true
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cudnn:
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benchmark: true
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| 9 |
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deterministic: false
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| 10 |
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data:
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name: dummy
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| 12 |
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num_images: 100
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| 13 |
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num_workers: 4
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| 14 |
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preload: true
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| 15 |
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readjust:
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center:
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- 0.0
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| 18 |
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- 0.0
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- 0.0
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scale: 1.0
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| 21 |
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root: datasets/lego_skip2/dense
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| 22 |
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train:
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batch_size: 1
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image_size:
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- 799
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- 799
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subset: null
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type: projects.neuralangelo.data
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use_multi_epoch_loader: true
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val:
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batch_size: 1
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image_size:
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- 300
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- 300
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max_viz_samples: 16
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subset: 4
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image_save_iter: 9999999999
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inference_args: {}
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local_rank: 0
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logdir: logs/lego_group/lego
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| 41 |
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logging_iter: 9999999999999
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| 42 |
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max_epoch: 9999999999
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| 43 |
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max_iter: 500000
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metrics_epoch: null
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metrics_iter: null
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model:
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appear_embed:
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dim: 8
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enabled: true
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background:
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enabled: true
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encoding:
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levels: 10
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type: fourier
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encoding_view:
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levels: 3
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type: spherical
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| 58 |
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mlp:
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activ: relu
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activ_density: softplus
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activ_density_params: {}
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activ_params: {}
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hidden_dim: 256
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hidden_dim_rgb: 128
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num_layers: 8
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num_layers_rgb: 2
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skip:
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- 4
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skip_rgb: []
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view_dep: true
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white: false
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object:
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rgb:
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encoding_view:
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levels: 3
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| 76 |
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type: spherical
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| 77 |
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mlp:
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activ: relu_
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activ_params: {}
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| 80 |
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hidden_dim: 256
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| 81 |
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num_layers: 4
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| 82 |
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skip: []
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weight_norm: true
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mode: idr
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s_var:
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anneal_end: 0.1
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init_val: 3.0
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sdf:
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encoding:
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coarse2fine:
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enabled: true
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init_active_level: 4
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step: 5000
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hashgrid:
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dict_size: 22
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dim: 8
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max_logres: 11
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min_logres: 5
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range:
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- -2
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- 2
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levels: 16
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| 103 |
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type: hashgrid
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gradient:
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| 105 |
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mode: numerical
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| 106 |
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taps: 4
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| 107 |
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mlp:
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activ: softplus
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| 109 |
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activ_params:
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| 110 |
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beta: 100
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| 111 |
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geometric_init: true
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| 112 |
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hidden_dim: 256
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inside_out: false
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num_layers: 1
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out_bias: 0.5
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skip: []
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| 117 |
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weight_norm: true
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render:
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num_sample_hierarchy: 4
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num_samples:
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background: 32
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coarse: 64
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fine: 16
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rand_rays: 512
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stratified: true
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type: projects.neuralangelo.model
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nvtx_profile: false
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optim:
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| 129 |
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fused_opt: false
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params:
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lr: 0.001
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weight_decay: 0.01
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| 133 |
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sched:
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gamma: 10.0
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iteration_mode: true
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| 136 |
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step_size: 9999999999
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| 137 |
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two_steps:
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- 300000
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- 400000
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type: two_steps_with_warmup
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| 141 |
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warm_up_end: 5000
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| 142 |
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type: AdamW
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| 143 |
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pretrained_weight: null
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| 144 |
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source_filename: /content/neuralangelo/projects/neuralangelo/configs/custom/lego.yaml
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speed_benchmark: false
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test_data:
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name: dummy
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num_workers: 0
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| 149 |
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test:
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batch_size: 1
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is_lmdb: false
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roots: null
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type: imaginaire.datasets.images
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timeout_period: 9999999
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trainer:
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amp_config:
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backoff_factor: 0.5
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enabled: false
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growth_factor: 2.0
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growth_interval: 2000
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init_scale: 65536.0
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ddp_config:
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| 163 |
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find_unused_parameters: false
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static_graph: true
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depth_vis_scale: 0.5
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| 166 |
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ema_config:
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| 167 |
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beta: 0.9999
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enabled: false
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| 169 |
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load_ema_checkpoint: false
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| 170 |
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start_iteration: 0
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| 171 |
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grad_accum_iter: 1
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| 172 |
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image_to_tensorboard: false
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| 173 |
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init:
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| 174 |
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gain: null
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| 175 |
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type: none
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| 176 |
+
loss_weight:
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| 177 |
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curvature: 0.0005
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| 178 |
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eikonal: 0.1
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| 179 |
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render: 1.0
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| 180 |
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type: projects.neuralangelo.trainer
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| 181 |
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validation_iter: 50000
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| 182 |
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wandb_image_iter: 1000
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| 183 |
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wandb_scalar_iter: 100
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lego/epoch_00050_iteration_000005000_checkpoint.pt
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:84f89ff7aac4e94351d2c26a19846fd1eeeece2285d0f86c93729bf56663252e
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| 3 |
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size 4400549171
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lego/epoch_00100_iteration_000010000_checkpoint.pt
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@@ -0,0 +1,3 @@
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:0d421ce39c1f7998853420bd076b9db5b0eb6f6ada69d42bd45ec10c3e6e95b7
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| 3 |
+
size 4400549171
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lego/epoch_00150_iteration_000015000_checkpoint.pt
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@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:b02bca7a54145ce1dc33e955f25cb3f1aef395dfb31ff51931ba346e24a3bf1d
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| 3 |
+
size 4400549171
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lego/latest_checkpoint.txt
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@@ -0,0 +1 @@
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epoch_00150_iteration_000015000_checkpoint.pt
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