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Jake-vc
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first-light-pherc1218

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10K<n<100K
Tags:
vesuvius-challenge
herculaneum-papyri
ct
ink-detection
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1 Parent(s): 3fc238c

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  1. flat/D9/.complete +0 -0
  2. flat/D9/.complete_0.60 +0 -0
  3. flat/D9/mesh/w045_spliced_p8D9/meta.json +1 -0
  4. flat/D9/mesh/w047_spliced_p8D9/meta.json +1 -0
  5. flat/D9/mesh/w068_spliced_p8D9/meta.json +1 -0
  6. flat/D9/mesh/w069_spliced_p8D9/meta.json +1 -0
  7. flat/D9/mesh/w070_spliced_p8D9/meta.json +1 -0
  8. flat/D9/mesh/w071_spliced_p8D9/meta.json +1 -0
  9. flat/D9/mesh/w072_spliced_p8D9/meta.json +1 -0
  10. flat/D9/mesh/w073_spliced_p8D9/meta.json +1 -0
  11. flat/D9/mesh/w074_spliced_p8D9/meta.json +1 -0
  12. flat/D9/mesh/w075_spliced_p8D9/meta.json +1 -0
  13. flat/D9/mesh/w076_spliced_p8D9/meta.json +1 -0
  14. flat/D9/mesh/w077_spliced_p8D9/meta.json +1 -0
  15. flat/D9/mesh/w078_spliced_p8D9/meta.json +1 -0
  16. flat/D9/mesh/w080_spliced_p8D9/meta.json +1 -0
  17. flat/D9/mesh/w081_spliced_p8D9/meta.json +1 -0
  18. flat/D9/mesh/w082_spliced_p8D9/meta.json +1 -0
  19. flat/D9/mesh/w083_spliced_p8D9/meta.json +1 -0
  20. flat/D9/mesh/w084_spliced_p8D9/meta.json +1 -0
  21. flat/D9/mesh/w085_spliced_p8D9/meta.json +1 -0
  22. flat/D9/mesh/w094_spliced_p8D9/meta.json +1 -0
  23. flat/D9/mesh/w096_spliced_p8D9/meta.json +1 -0
  24. flat/D9/mesh/w104_spliced_p8D9/meta.json +1 -0
  25. flat/D9/mesh/w105_spliced_p8D9/meta.json +1 -0
  26. flat/D9/mesh/w106_spliced_p8D9/meta.json +1 -0
  27. flat/D9/mesh/w107_spliced_p8D9/meta.json +1 -0
  28. flat/D9/mesh/w108_spliced_p8D9/meta.json +1 -0
  29. flat/D9/mesh/w109_spliced_p8D9/meta.json +1 -0
  30. flat/D9/mesh/w110_spliced_p8D9/meta.json +1 -0
  31. flat/D9/w045_spliced_p8D9.log +1 -0
  32. flat/D9/w045_spliced_p8D9/flatten.log +142 -0
  33. flat/D9/w045_spliced_p8D9/flatten_input.json +1 -0
  34. flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json +164 -0
  35. flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/x.tif +0 -0
  36. flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/y.tif +0 -0
  37. flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/z.tif +0 -0
  38. flat/D9/w047_spliced_p8D9.log +1 -0
  39. flat/D9/w068_spliced_p8D9.log +1 -0
  40. flat/D9/w069_spliced_p8D9.log +1 -0
  41. flat/D9/w070_spliced_p8D9.log +1 -0
  42. flat/D9/w071_spliced_p8D9.log +1 -0
  43. flat/D9/w072_spliced_p8D9.log +1 -0
  44. flat/D9/w072_spliced_p8D9/flatten.log +142 -0
  45. flat/D9/w072_spliced_p8D9/flatten_input.json +1 -0
  46. flat/D9/w072_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json +164 -0
  47. flat/D9/w073_spliced_p8D9.log +1 -0
  48. flat/D9/w073_spliced_p8D9/flatten.log +142 -0
  49. flat/D9/w073_spliced_p8D9/flatten_input.json +1 -0
  50. flat/D9/w073_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json +164 -0
flat/D9/.complete ADDED
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flat/D9/.complete_0.60 ADDED
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flat/D9/mesh/w045_spliced_p8D9/meta.json ADDED
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flat/D9/mesh/w047_spliced_p8D9/meta.json ADDED
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flat/D9/mesh/w068_spliced_p8D9/meta.json ADDED
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flat/D9/mesh/w069_spliced_p8D9/meta.json ADDED
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flat/D9/mesh/w070_spliced_p8D9/meta.json ADDED
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flat/D9/mesh/w096_spliced_p8D9/meta.json ADDED
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1
+ {"uuid": "flatten.tifxyz", "name": "flatten.tifxyz", "type": "seg", "format": "tifxyz", "scale": [0.05, 0.05], "bbox": [[823.3927001953125, 2135.462158203125, 19538.01171875], [6097.89453125, 5168.39111328125, 20539.712890625]], "area_vx2": 16332800.0, "model_source": "/workspace/flat/D9/w108_spliced_p8D9/model_final.pt", "fit_config": {"args": {"model-init": "flatten", "flatten_solver": "forward", "flatten_initial_inversion": false, "flatten_output_step": 20.0, "flatten_output_margin": 0.0, "flatten_edge_step_global_scale": 100.0, "input": null, "device": "cuda", "downscale": 4.0, "crop": null, "seed": null, "model-w": null, "model-w-unit": "voxels", "model-h": null, "winding-volume": null, "cuda-gridsample": 1, "erode-valid-mask": 0, "sparse-prefetch-backend": "tensorstore", "corr-point-roi": false, "corr-point-roi-init-margin": 80, "corr-point-roi-output-radius": 20, "mesh-step": 100, "winding-step": 25, "subsample-mesh": 4, "subsample-winding": 4, "depth": 3, "mesh-h": 32, "mesh-w": 32, "init-mode": "cylinder_seed", "z-center": 0.0, "pyramid-d": true, "model-input": null, "model-output": null, "snapshot-interval": 1000, "normal-mask-zero": 0, "out-dir": "/workspace/flat/D9/w108_spliced_p8D9", "tifxyz-init": null, "self-map-init": "off", "flatten-solver": "forward", "approval-inpaint": false, "approval-inpaint-corr-spacing": null, "approval-inpaint-padding-frac": 0.25, "approval-inpaint-output-mask": false, "approval-inpaint-output-mask-dilate": 3, "approval-inpaint-tifxyz": null, "tifxyz-flow-gate-channels": false, "progress": false}, "base": {"flatten_sdir": 1.0, "flatten_edge_step": 1.0, "flatten_avg_offset": 1.0, "flatten_orient": 2.0}, "stages": [{"name": "flatten", "steps": 4500, "lr": 0.01, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05, "flatten_renorm_interval": 500}}, {"name": "flatten", "steps": 1000, "lr": 0.001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}, {"name": "flatten", "steps": 1000, "lr": 0.0001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}], "external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w108_spliced_p8D9"}]}, "area_cm2": 7.948988006400001}
flat/D9/mesh/w109_spliced_p8D9/meta.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"uuid": "flatten.tifxyz", "name": "flatten.tifxyz", "type": "seg", "format": "tifxyz", "scale": [0.05, 0.05], "bbox": [[801.0344848632812, 2133.12353515625, 19539.466796875], [6137.34033203125, 5170.423828125, 20540.056640625]], "area_vx2": 16436000.0, "model_source": "/workspace/flat/D9/w109_spliced_p8D9/model_final.pt", "fit_config": {"args": {"model-init": "flatten", "flatten_solver": "forward", "flatten_initial_inversion": false, "flatten_output_step": 20.0, "flatten_output_margin": 0.0, "flatten_edge_step_global_scale": 100.0, "input": null, "device": "cuda", "downscale": 4.0, "crop": null, "seed": null, "model-w": null, "model-w-unit": "voxels", "model-h": null, "winding-volume": null, "cuda-gridsample": 1, "erode-valid-mask": 0, "sparse-prefetch-backend": "tensorstore", "corr-point-roi": false, "corr-point-roi-init-margin": 80, "corr-point-roi-output-radius": 20, "mesh-step": 100, "winding-step": 25, "subsample-mesh": 4, "subsample-winding": 4, "depth": 3, "mesh-h": 32, "mesh-w": 32, "init-mode": "cylinder_seed", "z-center": 0.0, "pyramid-d": true, "model-input": null, "model-output": null, "snapshot-interval": 1000, "normal-mask-zero": 0, "out-dir": "/workspace/flat/D9/w109_spliced_p8D9", "tifxyz-init": null, "self-map-init": "off", "flatten-solver": "forward", "approval-inpaint": false, "approval-inpaint-corr-spacing": null, "approval-inpaint-padding-frac": 0.25, "approval-inpaint-output-mask": false, "approval-inpaint-output-mask-dilate": 3, "approval-inpaint-tifxyz": null, "tifxyz-flow-gate-channels": false, "progress": false}, "base": {"flatten_sdir": 1.0, "flatten_edge_step": 1.0, "flatten_avg_offset": 1.0, "flatten_orient": 2.0}, "stages": [{"name": "flatten", "steps": 4500, "lr": 0.01, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05, "flatten_renorm_interval": 500}}, {"name": "flatten", "steps": 1000, "lr": 0.001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}, {"name": "flatten", "steps": 1000, "lr": 0.0001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}], "external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w109_spliced_p8D9"}]}, "area_cm2": 8.023637606400001}
flat/D9/mesh/w110_spliced_p8D9/meta.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"uuid": "flatten.tifxyz", "name": "flatten.tifxyz", "type": "seg", "format": "tifxyz", "scale": [0.05, 0.05], "bbox": [[786.3924560546875, 2127.2890625, 19533.328125], [6155.1318359375, 5181.27490234375, 20540.517578125]], "area_vx2": 16642400.0, "model_source": "/workspace/flat/D9/w110_spliced_p8D9/model_final.pt", "fit_config": {"args": {"model-init": "flatten", "flatten_solver": "forward", "flatten_initial_inversion": false, "flatten_output_step": 20.0, "flatten_output_margin": 0.0, "flatten_edge_step_global_scale": 100.0, "input": null, "device": "cuda", "downscale": 4.0, "crop": null, "seed": null, "model-w": null, "model-w-unit": "voxels", "model-h": null, "winding-volume": null, "cuda-gridsample": 1, "erode-valid-mask": 0, "sparse-prefetch-backend": "tensorstore", "corr-point-roi": false, "corr-point-roi-init-margin": 80, "corr-point-roi-output-radius": 20, "mesh-step": 100, "winding-step": 25, "subsample-mesh": 4, "subsample-winding": 4, "depth": 3, "mesh-h": 32, "mesh-w": 32, "init-mode": "cylinder_seed", "z-center": 0.0, "pyramid-d": true, "model-input": null, "model-output": null, "snapshot-interval": 1000, "normal-mask-zero": 0, "out-dir": "/workspace/flat/D9/w110_spliced_p8D9", "tifxyz-init": null, "self-map-init": "off", "flatten-solver": "forward", "approval-inpaint": false, "approval-inpaint-corr-spacing": null, "approval-inpaint-padding-frac": 0.25, "approval-inpaint-output-mask": false, "approval-inpaint-output-mask-dilate": 3, "approval-inpaint-tifxyz": null, "tifxyz-flow-gate-channels": false, "progress": false}, "base": {"flatten_sdir": 1.0, "flatten_edge_step": 1.0, "flatten_avg_offset": 1.0, "flatten_orient": 2.0}, "stages": [{"name": "flatten", "steps": 4500, "lr": 0.01, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05, "flatten_renorm_interval": 500}}, {"name": "flatten", "steps": 1000, "lr": 0.001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}, {"name": "flatten", "steps": 1000, "lr": 0.0001, "params": ["map_flatten_ms"], "min_scaledown": 0, "args": {"compile_flatten": true, "compile_flatten_combined": true, "flatten_diagnostics": false, "fused_flatten_adam_clamp": true, "flatten_support": true, "flatten_support_radius": 1, "flatten_orient_min_det": 0.01, "flatten_filter_source_angles": false, "flatten_max_update": 0.1, "flatten_sdir_eps": 1e-08, "status_interval": 100, "auto_steps_window": 2000, "auto_steps_max": 100000, "auto_steps_rel_threshold": 1e-05}}], "external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w110_spliced_p8D9"}]}, "area_cm2": 8.1063493632}
flat/D9/w045_spliced_p8D9.log ADDED
@@ -0,0 +1 @@
 
 
1
+ flattened w045_spliced_p8D9 in 80s -> /workspace/flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz
flat/D9/w045_spliced_p8D9/flatten.log ADDED
@@ -0,0 +1,142 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [tifxyz_io] loaded w045_spliced_p8D9: 66x226, 11416/14916 valid (76.5%) step_h=24.078 step_w=25.244 step_diag=24.542 step_avg=24.604
2
+ [model] pyramid levels (C=3, pyramid_d=False): 1x66x226 -> 1x33x113 -> 1x17x57 -> 1x9x29 -> 1x5x15
3
+ data: flatten-only (no volume input)
4
+ model: ModelConfig(mesh_step=100, winding_step=25, subsample_mesh=4, subsample_winding=4, depth=3, mesh_h=32, mesh_w=32, init_mode='cylinder_seed', z_center=0.0, pyramid_d=True, model_input=None, model_output=None)
5
+ opt: OptConfig(device='cuda', snapshot_interval=1000, normal_mask_zero=False)
6
+ [fit] model-init=flatten solver=forward source=/workspace/fit1218D/D9/snap/w045_spliced_p8D9 shape=(66, 226, 3) valid=11416/14916 model_shape=66x226 source_step=20 output_step=20 measured_source_step=24.6002 initial_uv_rescale=1
7
+ initial forward flatten (inversion skipped): map_shape=(66, 226, 2) point_valid=11416/14916 quad_valid=11121/14625
8
+ [optimizer] corr_points=False active_corr_terms=[]
9
+ [optimizer] stage0: params=['map_flatten_ms'] steps=4500 lr=0.01 min_scaledown=0
10
+ [optimizer] stage0: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
11
+ [optimizer] stage0: flatten_edge_step_global_scale=100
12
+ [optimizer] stage0: flatten_diagnostics=0
13
+ [optimizer] stage0: compile_flatten=1 combined=1
14
+ [optimizer] stage0: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
15
+ [optimizer] stage0: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
16
+ [optimizer] stage0: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
17
+ [optimizer] stage0: flatten_renorm_interval=500
18
+ [optimizer] progress columns
19
+ col : meaning | col : meaning | col : meaning
20
+ step : stage step | loss : total loss | it/s : optimizer it/s
21
+ f_sdir : flatten_sdir | f_sdirW : weighted flatten_sdir | f_estep : physical edge step loss
22
+ f_estpW : weighted physical edge step loss | f_avg : flatten_avg_offset | f_avgW : weighted flatten_avg_offset
23
+ f_orient : flatten_orient | f_oriW : weighted flatten_orient | f_step : flatten current avg grid step
24
+ step loss it/s f_sdir f_sdirW f_estep f_estpW f_avg f_avgW f_orient f_oriW f_step
25
+ stage0 0/4500 1.2701 1.0146 1.0146 0.2555 0.2555 0.0000 0.0000 0.0000 0.0000 20.000
26
+ stage0 1/4500 1.2701 1.2 1.0146 1.0146 0.2555 0.2555 0.0000 0.0000 0.0000 0.0000 20.000
27
+ stage0 100/4500 0.2337 66.1 0.1819 0.1819 0.0518 0.0518 0.0000 0.0000 0.0000 0.0000 19.989
28
+ stage0 200/4500 0.0857 154.9 0.0641 0.0641 0.0216 0.0216 0.0000 0.0000 0.0000 0.0000 19.996
29
+ stage0 300/4500 0.0545 91.2 0.0384 0.0384 0.0161 0.0161 0.0000 0.0000 0.0000 0.0000 20.003
30
+ stage0 400/4500 0.0486 97.0 0.0333 0.0333 0.0153 0.0153 0.0000 0.0000 0.0000 0.0000 20.005
31
+ [optimizer] stage0: flatten renorm step=500 avg_step=20.006 target=20 uv_scale=1.0003
32
+ stage0 500/4500 0.0466 363.8 0.0319 0.0319 0.0147 0.0147 0.0000 0.0000 0.0000 0.0000 20.000
33
+ stage0 600/4500 0.0448 352.9 0.0308 0.0308 0.0140 0.0140 0.0000 0.0000 0.0000 0.0000 20.006
34
+ stage0 700/4500 0.0443 383.5 0.0303 0.0303 0.0140 0.0140 0.0000 0.0000 0.0000 0.0000 20.006
35
+ stage0 800/4500 0.0435 169.1 0.0297 0.0297 0.0138 0.0138 0.0000 0.0000 0.0000 0.0000 20.006
36
+ stage0 900/4500 0.0430 107.0 0.0294 0.0294 0.0136 0.0136 0.0000 0.0000 0.0000 0.0000 20.006
37
+ [optimizer] stage0: flatten renorm step=1000 avg_step=20.0056 target=20 uv_scale=1.00028
38
+ stage0 1000/4500 0.0424 136.1 0.0291 0.0291 0.0133 0.0133 0.0000 0.0000 0.0000 0.0000 20.000
39
+ stage0 1100/4500 0.0416 304.4 0.0289 0.0289 0.0127 0.0127 0.0000 0.0000 0.0000 0.0000 20.005
40
+ stage0 1200/4500 0.0416 389.8 0.0287 0.0287 0.0129 0.0129 0.0000 0.0000 0.0000 0.0000 20.005
41
+ stage0 1300/4500 0.0414 145.3 0.0286 0.0286 0.0128 0.0128 0.0000 0.0000 0.0000 0.0000 20.005
42
+ stage0 1400/4500 0.0413 114.3 0.0284 0.0284 0.0128 0.0128 0.0000 0.0000 0.0000 0.0000 20.005
43
+ [optimizer] stage0: flatten renorm step=1500 avg_step=20.0051 target=20 uv_scale=1.00025
44
+ stage0 1500/4500 0.0411 134.4 0.0284 0.0284 0.0127 0.0127 0.0000 0.0000 0.0000 0.0000 20.000
45
+ stage0 1600/4500 0.0411 100.7 0.0283 0.0283 0.0128 0.0128 0.0000 0.0000 0.0000 0.0000 20.005
46
+ stage0 1700/4500 0.0407 60.0 0.0282 0.0282 0.0125 0.0125 0.0000 0.0000 0.0000 0.0000 20.005
47
+ stage0 1800/4500 0.0407 145.5 0.0282 0.0282 0.0125 0.0125 0.0000 0.0000 0.0000 0.0000 20.005
48
+ step loss it/s f_sdir f_sdirW f_estep f_estpW f_avg f_avgW f_orient f_oriW f_step
49
+ stage0 1900/4500 0.0407 372.1 0.0281 0.0281 0.0125 0.0125 0.0000 0.0000 0.0000 0.0000 20.005
50
+ [optimizer] stage0: flatten renorm step=2000 avg_step=20.0049 target=20 uv_scale=1.00025
51
+ stage0 2000/4500 0.0406 356.6 0.0281 0.0281 0.0125 0.0125 0.0000 0.0000 0.0000 0.0000 20.000
52
+ stage0 2100/4500 0.0406 335.6 0.0283 0.0283 0.0123 0.0123 0.0000 0.0000 0.0000 0.0000 20.005
53
+ stage0 2200/4500 0.0405 185.3 0.0281 0.0281 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
54
+ stage0 2300/4500 0.0405 156.4 0.0281 0.0281 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
55
+ stage0 2400/4500 0.0405 155.9 0.0281 0.0281 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
56
+ [optimizer] stage0: flatten renorm step=2500 avg_step=20.0048 target=20 uv_scale=1.00024
57
+ stage0 2500/4500 0.0405 457.9 0.0281 0.0281 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.000
58
+ stage0 2600/4500 0.0403 380.7 0.0282 0.0282 0.0121 0.0121 0.0000 0.0000 0.0000 0.0000 20.004
59
+ stage0 2700/4500 0.0405 420.5 0.0281 0.0281 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
60
+ stage0 2800/4500 0.0405 416.4 0.0281 0.0281 0.0125 0.0125 0.0000 0.0000 0.0000 0.0000 20.005
61
+ stage0 2900/4500 0.0404 180.0 0.0280 0.0280 0.0123 0.0123 0.0000 0.0000 0.0000 0.0000 20.005
62
+ [optimizer] stage0: flatten renorm step=3000 avg_step=20.005 target=20 uv_scale=1.00025
63
+ stage0 3000/4500 0.0405 150.8 0.0280 0.0280 0.0125 0.0125 0.0000 0.0000 0.0000 0.0000 20.000
64
+ stage0 3100/4500 0.0409 138.0 0.0281 0.0281 0.0128 0.0128 0.0000 0.0000 0.0000 0.0000 20.005
65
+ stage0 3200/4500 0.0404 466.0 0.0281 0.0281 0.0123 0.0123 0.0000 0.0000 0.0000 0.0000 20.005
66
+ stage0 3300/4500 0.0404 156.3 0.0281 0.0281 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
67
+ stage0 3400/4500 0.0405 162.0 0.0280 0.0280 0.0125 0.0125 0.0000 0.0000 0.0000 0.0000 20.005
68
+ [optimizer] stage0: flatten renorm step=3500 avg_step=20.0049 target=20 uv_scale=1.00024
69
+ stage0 3500/4500 0.0404 168.1 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.000
70
+ stage0 3600/4500 0.0408 152.9 0.0282 0.0282 0.0127 0.0127 0.0000 0.0000 0.0000 0.0000 20.005
71
+ stage0 3700/4500 0.0403 200.4 0.0281 0.0281 0.0122 0.0122 0.0000 0.0000 0.0000 0.0000 20.004
72
+ stage0 3800/4500 0.0403 458.4 0.0280 0.0280 0.0123 0.0123 0.0000 0.0000 0.0000 0.0000 20.005
73
+ step loss it/s f_sdir f_sdirW f_estep f_estpW f_avg f_avgW f_orient f_oriW f_step
74
+ stage0 3900/4500 0.0404 184.5 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
75
+ [optimizer] stage0: flatten renorm step=4000 avg_step=20.0049 target=20 uv_scale=1.00025
76
+ stage0 4000/4500 0.0405 153.6 0.0280 0.0280 0.0125 0.0125 0.0000 0.0000 0.0000 0.0000 20.000
77
+ stage0 4100/4500 0.0404 83.8 0.0281 0.0281 0.0123 0.0123 0.0000 0.0000 0.0000 0.0000 20.005
78
+ stage0 4200/4500 0.0404 255.4 0.0281 0.0281 0.0123 0.0123 0.0000 0.0000 0.0000 0.0000 20.005
79
+ stage0 4300/4500 0.0404 378.6 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
80
+ stage0 4400/4500 0.0404 344.7 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
81
+ [optimizer] stage0: flatten renorm step=4500 avg_step=20.0048 target=20 uv_scale=1.00024
82
+ stage0 4500/4500 0.0405 165.9 0.0280 0.0280 0.0125 0.0125 1.0e-04 1.0e-04 0.0000 0.0000 20.000
83
+ [optimizer] stage0 'flatten' complete in 44.77s
84
+ [optimizer] stage1: params=['map_flatten_ms'] steps=1000 lr=0.001 min_scaledown=0
85
+ [optimizer] stage1: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
86
+ [optimizer] stage1: flatten_edge_step_global_scale=100
87
+ [optimizer] stage1: flatten_diagnostics=0
88
+ [optimizer] stage1: compile_flatten=1 combined=1
89
+ [optimizer] stage1: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
90
+ [optimizer] stage1: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
91
+ [optimizer] stage1: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
92
+ [optimizer] progress columns
93
+ col : meaning | col : meaning | col : meaning
94
+ step : stage step | loss : total loss | it/s : optimizer it/s
95
+ f_sdir : flatten_sdir | f_sdirW : weighted flatten_sdir | f_estep : physical edge step loss
96
+ f_estpW : weighted physical edge step loss | f_avg : flatten_avg_offset | f_avgW : weighted flatten_avg_offset
97
+ f_orient : flatten_orient | f_oriW : weighted flatten_orient | f_step : flatten current avg grid step
98
+ step loss it/s f_sdir f_sdirW f_estep f_estpW f_avg f_avgW f_orient f_oriW f_step
99
+ stage1 0/1000 0.0389 0.0280 0.0280 0.0109 0.0109 0.0000 0.0000 0.0000 0.0000 20.000
100
+ stage1 1/1000 0.0389 12.5 0.0280 0.0280 0.0109 0.0109 0.0000 0.0000 0.0000 0.0000 20.000
101
+ stage1 100/1000 0.0403 54.8 0.0280 0.0280 0.0123 0.0123 0.0000 0.0000 0.0000 0.0000 20.005
102
+ stage1 200/1000 0.0404 157.2 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
103
+ stage1 300/1000 0.0404 60.9 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
104
+ stage1 400/1000 0.0404 207.7 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
105
+ stage1 500/1000 0.0404 303.0 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
106
+ stage1 600/1000 0.0404 310.1 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
107
+ stage1 700/1000 0.0404 385.9 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
108
+ stage1 800/1000 0.0404 116.2 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
109
+ stage1 900/1000 0.0404 56.7 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
110
+ stage1 1000/1000 0.0404 36.4 0.0280 0.0280 0.0123 0.0123 0.0000 0.0000 0.0000 0.0000 20.005
111
+ [optimizer] stage1 'flatten' complete in 11.26s
112
+ [optimizer] stage2: params=['map_flatten_ms'] steps=1000 lr=0.0001 min_scaledown=0
113
+ [optimizer] stage2: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
114
+ [optimizer] stage2: flatten_edge_step_global_scale=100
115
+ [optimizer] stage2: flatten_diagnostics=0
116
+ [optimizer] stage2: compile_flatten=1 combined=1
117
+ [optimizer] stage2: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
118
+ [optimizer] stage2: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
119
+ [optimizer] stage2: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
120
+ [optimizer] progress columns
121
+ col : meaning | col : meaning | col : meaning
122
+ step : stage step | loss : total loss | it/s : optimizer it/s
123
+ f_sdir : flatten_sdir | f_sdirW : weighted flatten_sdir | f_estep : physical edge step loss
124
+ f_estpW : weighted physical edge step loss | f_avg : flatten_avg_offset | f_avgW : weighted flatten_avg_offset
125
+ f_orient : flatten_orient | f_oriW : weighted flatten_orient | f_step : flatten current avg grid step
126
+ step loss it/s f_sdir f_sdirW f_estep f_estpW f_avg f_avgW f_orient f_oriW f_step
127
+ stage2 0/1000 0.0404 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
128
+ stage2 1/1000 0.0404 16.3 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
129
+ stage2 100/1000 0.0404 43.8 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
130
+ stage2 200/1000 0.0404 66.7 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
131
+ stage2 300/1000 0.0404 52.9 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
132
+ stage2 400/1000 0.0404 65.3 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
133
+ stage2 500/1000 0.0404 75.4 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
134
+ stage2 600/1000 0.0404 124.0 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
135
+ stage2 700/1000 0.0404 56.3 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
136
+ stage2 800/1000 0.0404 138.3 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
137
+ stage2 900/1000 0.0404 93.9 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
138
+ stage2 1000/1000 0.0404 73.1 0.0280 0.0280 0.0124 0.0124 0.0000 0.0000 0.0000 0.0000 20.005
139
+ [optimizer] stage2 'flatten' complete in 14.45s
140
+ [optimizer] total optimize time: 1m10.48s
141
+ [fit] peak GPU memory: 0.12 GiB
142
+ [fit2tifxyz] area_vx2=6218000
flat/D9/w045_spliced_p8D9/flatten_input.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w045_spliced_p8D9"}]}
flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json ADDED
@@ -0,0 +1,164 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "uuid": "flatten.tifxyz",
3
+ "name": "flatten.tifxyz",
4
+ "type": "seg",
5
+ "format": "tifxyz",
6
+ "scale": [
7
+ 0.05,
8
+ 0.05
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+ ],
10
+ "bbox": [
11
+ [
12
+ 2102.84423828125,
13
+ 3011.107177734375,
14
+ 19541.255859375
15
+ ],
16
+ [
17
+ 4715.111328125,
18
+ 4307.36376953125,
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+ 20538.990234375
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+ ]
21
+ ],
22
+ "area_vx2": 6218000.0,
23
+ "model_source": "/workspace/flat/D9/w045_spliced_p8D9/model_final.pt",
24
+ "fit_config": {
25
+ "args": {
26
+ "model-init": "flatten",
27
+ "flatten_solver": "forward",
28
+ "flatten_initial_inversion": false,
29
+ "flatten_output_step": 20.0,
30
+ "flatten_output_margin": 0.0,
31
+ "flatten_edge_step_global_scale": 100.0,
32
+ "input": null,
33
+ "device": "cuda",
34
+ "downscale": 4.0,
35
+ "crop": null,
36
+ "seed": null,
37
+ "model-w": null,
38
+ "model-w-unit": "voxels",
39
+ "model-h": null,
40
+ "winding-volume": null,
41
+ "cuda-gridsample": 1,
42
+ "erode-valid-mask": 0,
43
+ "sparse-prefetch-backend": "tensorstore",
44
+ "corr-point-roi": false,
45
+ "corr-point-roi-init-margin": 80,
46
+ "corr-point-roi-output-radius": 20,
47
+ "mesh-step": 100,
48
+ "winding-step": 25,
49
+ "subsample-mesh": 4,
50
+ "subsample-winding": 4,
51
+ "depth": 3,
52
+ "mesh-h": 32,
53
+ "mesh-w": 32,
54
+ "init-mode": "cylinder_seed",
55
+ "z-center": 0.0,
56
+ "pyramid-d": true,
57
+ "model-input": null,
58
+ "model-output": null,
59
+ "snapshot-interval": 1000,
60
+ "normal-mask-zero": 0,
61
+ "out-dir": "/workspace/flat/D9/w045_spliced_p8D9",
62
+ "tifxyz-init": null,
63
+ "self-map-init": "off",
64
+ "flatten-solver": "forward",
65
+ "approval-inpaint": false,
66
+ "approval-inpaint-corr-spacing": null,
67
+ "approval-inpaint-padding-frac": 0.25,
68
+ "approval-inpaint-output-mask": false,
69
+ "approval-inpaint-output-mask-dilate": 3,
70
+ "approval-inpaint-tifxyz": null,
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+ "tifxyz-flow-gate-channels": false,
72
+ "progress": false
73
+ },
74
+ "base": {
75
+ "flatten_sdir": 1.0,
76
+ "flatten_edge_step": 1.0,
77
+ "flatten_avg_offset": 1.0,
78
+ "flatten_orient": 2.0
79
+ },
80
+ "stages": [
81
+ {
82
+ "name": "flatten",
83
+ "steps": 4500,
84
+ "lr": 0.01,
85
+ "params": [
86
+ "map_flatten_ms"
87
+ ],
88
+ "min_scaledown": 0,
89
+ "args": {
90
+ "compile_flatten": true,
91
+ "compile_flatten_combined": true,
92
+ "flatten_diagnostics": false,
93
+ "fused_flatten_adam_clamp": true,
94
+ "flatten_support": true,
95
+ "flatten_support_radius": 1,
96
+ "flatten_orient_min_det": 0.01,
97
+ "flatten_filter_source_angles": false,
98
+ "flatten_max_update": 0.1,
99
+ "flatten_sdir_eps": 1e-08,
100
+ "status_interval": 100,
101
+ "auto_steps_window": 2000,
102
+ "auto_steps_max": 100000,
103
+ "auto_steps_rel_threshold": 1e-05,
104
+ "flatten_renorm_interval": 500
105
+ }
106
+ },
107
+ {
108
+ "name": "flatten",
109
+ "steps": 1000,
110
+ "lr": 0.001,
111
+ "params": [
112
+ "map_flatten_ms"
113
+ ],
114
+ "min_scaledown": 0,
115
+ "args": {
116
+ "compile_flatten": true,
117
+ "compile_flatten_combined": true,
118
+ "flatten_diagnostics": false,
119
+ "fused_flatten_adam_clamp": true,
120
+ "flatten_support": true,
121
+ "flatten_support_radius": 1,
122
+ "flatten_orient_min_det": 0.01,
123
+ "flatten_filter_source_angles": false,
124
+ "flatten_max_update": 0.1,
125
+ "flatten_sdir_eps": 1e-08,
126
+ "status_interval": 100,
127
+ "auto_steps_window": 2000,
128
+ "auto_steps_max": 100000,
129
+ "auto_steps_rel_threshold": 1e-05
130
+ }
131
+ },
132
+ {
133
+ "name": "flatten",
134
+ "steps": 1000,
135
+ "lr": 0.0001,
136
+ "params": [
137
+ "map_flatten_ms"
138
+ ],
139
+ "min_scaledown": 0,
140
+ "args": {
141
+ "compile_flatten": true,
142
+ "compile_flatten_combined": true,
143
+ "flatten_diagnostics": false,
144
+ "fused_flatten_adam_clamp": true,
145
+ "flatten_support": true,
146
+ "flatten_support_radius": 1,
147
+ "flatten_orient_min_det": 0.01,
148
+ "flatten_filter_source_angles": false,
149
+ "flatten_max_update": 0.1,
150
+ "flatten_sdir_eps": 1e-08,
151
+ "status_interval": 100,
152
+ "auto_steps_window": 2000,
153
+ "auto_steps_max": 100000,
154
+ "auto_steps_rel_threshold": 1e-05
155
+ }
156
+ }
157
+ ],
158
+ "external_surfaces": [
159
+ {
160
+ "path": "/workspace/fit1218D/D9/snap/w045_spliced_p8D9"
161
+ }
162
+ ]
163
+ }
164
+ }
flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/x.tif ADDED
flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/y.tif ADDED
flat/D9/w045_spliced_p8D9/tifxyz/flatten.tifxyz/z.tif ADDED
flat/D9/w047_spliced_p8D9.log ADDED
@@ -0,0 +1 @@
 
 
1
+ flattened w047_spliced_p8D9 in 163s -> /workspace/flat/D9/w047_spliced_p8D9/tifxyz/flatten.tifxyz
flat/D9/w068_spliced_p8D9.log ADDED
@@ -0,0 +1 @@
 
 
1
+ flattened w068_spliced_p8D9 in 160s -> /workspace/flat/D9/w068_spliced_p8D9/tifxyz/flatten.tifxyz
flat/D9/w069_spliced_p8D9.log ADDED
@@ -0,0 +1 @@
 
 
1
+ flattened w069_spliced_p8D9 in 100s -> /workspace/flat/D9/w069_spliced_p8D9/tifxyz/flatten.tifxyz
flat/D9/w070_spliced_p8D9.log ADDED
@@ -0,0 +1 @@
 
 
1
+ flattened w070_spliced_p8D9 in 135s -> /workspace/flat/D9/w070_spliced_p8D9/tifxyz/flatten.tifxyz
flat/D9/w071_spliced_p8D9.log ADDED
@@ -0,0 +1 @@
 
 
1
+ flattened w071_spliced_p8D9 in 170s -> /workspace/flat/D9/w071_spliced_p8D9/tifxyz/flatten.tifxyz
flat/D9/w072_spliced_p8D9.log ADDED
@@ -0,0 +1 @@
 
 
1
+ flattened w072_spliced_p8D9 in 91s -> /workspace/flat/D9/w072_spliced_p8D9/tifxyz/flatten.tifxyz
flat/D9/w072_spliced_p8D9/flatten.log ADDED
@@ -0,0 +1,142 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [tifxyz_io] loaded w072_spliced_p8D9: 66x360, 18030/23760 valid (75.9%) step_h=25.511 step_w=25.336 step_diag=25.204 step_avg=25.314
2
+ [model] pyramid levels (C=3, pyramid_d=False): 1x66x360 -> 1x33x180 -> 1x17x90 -> 1x9x45 -> 1x5x23
3
+ data: flatten-only (no volume input)
4
+ model: ModelConfig(mesh_step=100, winding_step=25, subsample_mesh=4, subsample_winding=4, depth=3, mesh_h=32, mesh_w=32, init_mode='cylinder_seed', z_center=0.0, pyramid_d=True, model_input=None, model_output=None)
5
+ opt: OptConfig(device='cuda', snapshot_interval=1000, normal_mask_zero=False)
6
+ [fit] model-init=flatten solver=forward source=/workspace/fit1218D/D9/snap/w072_spliced_p8D9 shape=(66, 360, 3) valid=18030/23760 model_shape=66x360 source_step=20 output_step=20 measured_source_step=25.3138 initial_uv_rescale=1
7
+ initial forward flatten (inversion skipped): map_shape=(66, 360, 2) point_valid=18030/23760 quad_valid=17589/23335
8
+ [optimizer] corr_points=False active_corr_terms=[]
9
+ [optimizer] stage0: params=['map_flatten_ms'] steps=4500 lr=0.01 min_scaledown=0
10
+ [optimizer] stage0: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
11
+ [optimizer] stage0: flatten_edge_step_global_scale=100
12
+ [optimizer] stage0: flatten_diagnostics=0
13
+ [optimizer] stage0: compile_flatten=1 combined=1
14
+ [optimizer] stage0: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
15
+ [optimizer] stage0: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
16
+ [optimizer] stage0: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
17
+ [optimizer] stage0: flatten_renorm_interval=500
18
+ [optimizer] progress columns
19
+ col : meaning | col : meaning | col : meaning
20
+ step : stage step | loss : total loss | it/s : optimizer it/s
21
+ f_sdir : flatten_sdir | f_sdirW : weighted flatten_sdir | f_estep : physical edge step loss
22
+ f_estpW : weighted physical edge step loss | f_avg : flatten_avg_offset | f_avgW : weighted flatten_avg_offset
23
+ f_orient : flatten_orient | f_oriW : weighted flatten_orient | f_step : flatten current avg grid step
24
+ step loss it/s f_sdir f_sdirW f_estep f_estpW f_avg f_avgW f_orient f_oriW f_step
25
+ stage0 0/4500 1.4205 1.0992 1.0992 0.3214 0.3214 0.0000 0.0000 0.0000 0.0000 20.000
26
+ stage0 1/4500 1.4205 0.1 1.0992 1.0992 0.3214 0.3214 0.0000 0.0000 0.0000 0.0000 20.000
27
+ stage0 100/4500 0.3255 125.1 0.2336 0.2336 0.0920 0.0920 0.0000 0.0000 0.0000 0.0000 19.978
28
+ stage0 200/4500 0.1679 149.7 0.1145 0.1145 0.0535 0.0535 0.0000 0.0000 0.0000 0.0000 19.979
29
+ stage0 300/4500 0.0994 365.6 0.0669 0.0669 0.0325 0.0325 0.0000 0.0000 0.0000 0.0000 19.985
30
+ stage0 400/4500 0.0695 362.3 0.0475 0.0475 0.0220 0.0220 0.0000 0.0000 0.0000 0.0000 19.992
31
+ [optimizer] stage0: flatten renorm step=500 avg_step=19.9963 target=20 uv_scale=0.999814
32
+ stage0 500/4500 0.0570 376.7 0.0394 0.0394 0.0175 0.0175 0.0000 0.0000 0.0000 0.0000 20.000
33
+ stage0 600/4500 0.0484 185.8 0.0342 0.0342 0.0142 0.0142 0.0000 0.0000 0.0000 0.0000 19.999
34
+ stage0 700/4500 0.0455 138.5 0.0321 0.0321 0.0134 0.0134 0.0000 0.0000 0.0000 0.0000 20.001
35
+ stage0 800/4500 0.0445 106.5 0.0310 0.0310 0.0135 0.0135 0.0000 0.0000 0.0000 0.0000 20.003
36
+ stage0 900/4500 0.0436 322.9 0.0305 0.0305 0.0131 0.0131 0.0000 0.0000 0.0000 0.0000 20.003
37
+ [optimizer] stage0: flatten renorm step=1000 avg_step=20.0048 target=20 uv_scale=1.00024
38
+ stage0 1000/4500 0.0441 359.2 0.0302 0.0302 0.0139 0.0139 0.0000 0.0000 0.0000 0.0000 20.000
39
+ stage0 1100/4500 0.0441 115.6 0.0303 0.0303 0.0138 0.0138 0.0000 0.0000 0.0000 0.0000 20.005
40
+ stage0 1200/4500 0.0442 136.0 0.0301 0.0301 0.0141 0.0141 0.0000 0.0000 0.0000 0.0000 20.006
41
+ stage0 1300/4500 0.0442 132.1 0.0299 0.0299 0.0142 0.0142 0.0000 0.0000 0.0000 0.0000 20.006
42
+ stage0 1400/4500 0.0441 341.2 0.0299 0.0299 0.0142 0.0142 0.0000 0.0000 0.0000 0.0000 20.006
43
+ [optimizer] stage0: flatten renorm step=1500 avg_step=20.0061 target=20 uv_scale=1.0003
44
+ stage0 1500/4500 0.0440 208.7 0.0298 0.0298 0.0142 0.0142 0.0000 0.0000 0.0000 0.0000 20.000
45
+ stage0 1600/4500 0.0434 114.5 0.0299 0.0299 0.0135 0.0135 0.0000 0.0000 0.0000 0.0000 20.005
46
+ stage0 1700/4500 0.0437 128.7 0.0297 0.0297 0.0140 0.0140 0.0000 0.0000 0.0000 0.0000 20.006
47
+ stage0 1800/4500 0.0438 151.0 0.0297 0.0297 0.0141 0.0141 0.0000 0.0000 0.0000 0.0000 20.006
48
+ step loss it/s f_sdir f_sdirW f_estep f_estpW f_avg f_avgW f_orient f_oriW f_step
49
+ stage0 1900/4500 0.0436 291.6 0.0296 0.0296 0.0140 0.0140 0.0000 0.0000 0.0000 0.0000 20.006
50
+ [optimizer] stage0: flatten renorm step=2000 avg_step=20.0065 target=20 uv_scale=1.00032
51
+ stage0 2000/4500 0.0438 385.5 0.0296 0.0296 0.0142 0.0142 0.0000 0.0000 0.0000 0.0000 20.000
52
+ stage0 2100/4500 0.0431 123.3 0.0298 0.0298 0.0133 0.0133 0.0000 0.0000 0.0000 0.0000 20.005
53
+ stage0 2200/4500 0.0433 110.9 0.0296 0.0296 0.0137 0.0137 0.0000 0.0000 0.0000 0.0000 20.006
54
+ stage0 2300/4500 0.0433 150.4 0.0295 0.0295 0.0137 0.0137 1.0e-04 1.0e-04 0.0000 0.0000 20.006
55
+ stage0 2400/4500 0.0432 317.8 0.0294 0.0294 0.0137 0.0137 0.0000 0.0000 0.0000 0.0000 20.006
56
+ [optimizer] stage0: flatten renorm step=2500 avg_step=20.0061 target=20 uv_scale=1.0003
57
+ stage0 2500/4500 0.0431 108.2 0.0294 0.0294 0.0138 0.0138 0.0000 0.0000 0.0000 0.0000 20.000
58
+ stage0 2600/4500 0.0424 99.5 0.0296 0.0296 0.0128 0.0128 0.0000 0.0000 0.0000 0.0000 20.005
59
+ stage0 2700/4500 0.0428 135.5 0.0294 0.0294 0.0134 0.0134 0.0000 0.0000 0.0000 0.0000 20.006
60
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63
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74
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82
+ stage0 4500/4500 0.0427 146.7 0.0291 0.0291 0.0136 0.0136 0.0000 0.0000 0.0000 0.0000 20.000
83
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84
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91
+ [optimizer] stage1: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
92
+ [optimizer] progress columns
93
+ col : meaning | col : meaning | col : meaning
94
+ step : stage step | loss : total loss | it/s : optimizer it/s
95
+ f_sdir : flatten_sdir | f_sdirW : weighted flatten_sdir | f_estep : physical edge step loss
96
+ f_estpW : weighted physical edge step loss | f_avg : flatten_avg_offset | f_avgW : weighted flatten_avg_offset
97
+ f_orient : flatten_orient | f_oriW : weighted flatten_orient | f_step : flatten current avg grid step
98
+ step loss it/s f_sdir f_sdirW f_estep f_estpW f_avg f_avgW f_orient f_oriW f_step
99
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100
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103
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104
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105
+ stage1 500/1000 0.0426 230.5 0.0291 0.0291 0.0135 0.0135 0.0000 0.0000 0.0000 0.0000 20.006
106
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107
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108
+ stage1 800/1000 0.0427 174.3 0.0291 0.0291 0.0136 0.0136 0.0000 0.0000 0.0000 0.0000 20.006
109
+ stage1 900/1000 0.0428 376.7 0.0291 0.0291 0.0137 0.0137 0.0000 0.0000 0.0000 0.0000 20.006
110
+ stage1 1000/1000 0.0427 386.5 0.0291 0.0291 0.0137 0.0137 0.0000 0.0000 0.0000 0.0000 20.006
111
+ [optimizer] stage1 'flatten' complete in 4.99s
112
+ [optimizer] stage2: params=['map_flatten_ms'] steps=1000 lr=0.0001 min_scaledown=0
113
+ [optimizer] stage2: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
114
+ [optimizer] stage2: flatten_edge_step_global_scale=100
115
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116
+ [optimizer] stage2: compile_flatten=1 combined=1
117
+ [optimizer] stage2: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
118
+ [optimizer] stage2: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
119
+ [optimizer] stage2: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
120
+ [optimizer] progress columns
121
+ col : meaning | col : meaning | col : meaning
122
+ step : stage step | loss : total loss | it/s : optimizer it/s
123
+ f_sdir : flatten_sdir | f_sdirW : weighted flatten_sdir | f_estep : physical edge step loss
124
+ f_estpW : weighted physical edge step loss | f_avg : flatten_avg_offset | f_avgW : weighted flatten_avg_offset
125
+ f_orient : flatten_orient | f_oriW : weighted flatten_orient | f_step : flatten current avg grid step
126
+ step loss it/s f_sdir f_sdirW f_estep f_estpW f_avg f_avgW f_orient f_oriW f_step
127
+ stage2 0/1000 0.0427 0.0291 0.0291 0.0136 0.0136 0.0000 0.0000 0.0000 0.0000 20.006
128
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129
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130
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131
+ stage2 300/1000 0.0427 154.3 0.0291 0.0291 0.0136 0.0136 0.0000 0.0000 0.0000 0.0000 20.006
132
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133
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134
+ stage2 600/1000 0.0427 386.9 0.0291 0.0291 0.0136 0.0136 0.0000 0.0000 0.0000 0.0000 20.006
135
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136
+ stage2 800/1000 0.0426 386.1 0.0291 0.0291 0.0136 0.0136 0.0000 0.0000 0.0000 0.0000 20.006
137
+ stage2 900/1000 0.0427 285.5 0.0291 0.0291 0.0136 0.0136 0.0000 0.0000 0.0000 0.0000 20.006
138
+ stage2 1000/1000 0.0427 149.3 0.0291 0.0291 0.0136 0.0136 0.0000 0.0000 0.0000 0.0000 20.006
139
+ [optimizer] stage2 'flatten' complete in 4.48s
140
+ [optimizer] total optimize time: 1m19.34s
141
+ [fit] peak GPU memory: 0.20 GiB
142
+ [fit2tifxyz] area_vx2=10259200
flat/D9/w072_spliced_p8D9/flatten_input.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"external_surfaces": [{"path": "/workspace/fit1218D/D9/snap/w072_spliced_p8D9"}]}
flat/D9/w072_spliced_p8D9/tifxyz/flatten.tifxyz/meta.json ADDED
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+ "uuid": "flatten.tifxyz",
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+ "scale": [
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+ ],
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+ [
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+ ],
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+ "area_vx2": 10259200.0,
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+ "model_source": "/workspace/flat/D9/w072_spliced_p8D9/model_final.pt",
24
+ "fit_config": {
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+ "args": {
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+ "corr-point-roi-init-margin": 80,
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+ "corr-point-roi-output-radius": 20,
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+ "mesh-step": 100,
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+ "flatten_renorm_interval": 500
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+ }
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+ },
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+ {
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+ "steps": 1000,
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+ "lr": 0.001,
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+ "params": [
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+ ],
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+ "min_scaledown": 0,
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+ "flatten_filter_source_angles": false,
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+ "flatten_sdir_eps": 1e-08,
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+ "status_interval": 100,
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+ "auto_steps_window": 2000,
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+ "auto_steps_max": 100000,
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+ "auto_steps_rel_threshold": 1e-05
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+ }
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+ },
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+ {
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+ "name": "flatten",
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+ "steps": 1000,
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+ "lr": 0.0001,
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+ "params": [
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+ "map_flatten_ms"
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+ ],
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+ "args": {
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+ "compile_flatten": true,
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+ "compile_flatten_combined": true,
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+ "flatten_diagnostics": false,
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+ "fused_flatten_adam_clamp": true,
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+ "flatten_support": true,
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+ "flatten_support_radius": 1,
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+ "flatten_orient_min_det": 0.01,
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+ "flatten_filter_source_angles": false,
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+ "flatten_max_update": 0.1,
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+ "flatten_sdir_eps": 1e-08,
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+ "status_interval": 100,
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+ "auto_steps_window": 2000,
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+ "auto_steps_max": 100000,
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+ "auto_steps_rel_threshold": 1e-05
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+ }
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+ }
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+ ],
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+ "external_surfaces": [
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+ {
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+ "path": "/workspace/fit1218D/D9/snap/w072_spliced_p8D9"
161
+ }
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+ ]
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+ }
164
+ }
flat/D9/w073_spliced_p8D9.log ADDED
@@ -0,0 +1 @@
 
 
1
+ flattened w073_spliced_p8D9 in 172s -> /workspace/flat/D9/w073_spliced_p8D9/tifxyz/flatten.tifxyz
flat/D9/w073_spliced_p8D9/flatten.log ADDED
@@ -0,0 +1,142 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [tifxyz_io] loaded w073_spliced_p8D9: 66x365, 18299/24090 valid (76.0%) step_h=25.613 step_w=25.429 step_diag=25.292 step_avg=25.407
2
+ [model] pyramid levels (C=3, pyramid_d=False): 1x66x365 -> 1x33x183 -> 1x17x92 -> 1x9x46 -> 1x5x23
3
+ data: flatten-only (no volume input)
4
+ model: ModelConfig(mesh_step=100, winding_step=25, subsample_mesh=4, subsample_winding=4, depth=3, mesh_h=32, mesh_w=32, init_mode='cylinder_seed', z_center=0.0, pyramid_d=True, model_input=None, model_output=None)
5
+ opt: OptConfig(device='cuda', snapshot_interval=1000, normal_mask_zero=False)
6
+ [fit] model-init=flatten solver=forward source=/workspace/fit1218D/D9/snap/w073_spliced_p8D9 shape=(66, 365, 3) valid=18299/24090 model_shape=66x365 source_step=20 output_step=20 measured_source_step=25.4079 initial_uv_rescale=1
7
+ initial forward flatten (inversion skipped): map_shape=(66, 365, 2) point_valid=18299/24090 quad_valid=17849/23660
8
+ [optimizer] corr_points=False active_corr_terms=[]
9
+ [optimizer] stage0: params=['map_flatten_ms'] steps=4500 lr=0.01 min_scaledown=0
10
+ [optimizer] stage0: snap_surf_map_weight=0 snap_surf_map_offset=n/a snap_surf_map_offset_mode=n/a
11
+ [optimizer] stage0: flatten_edge_step_global_scale=100
12
+ [optimizer] stage0: flatten_diagnostics=0
13
+ [optimizer] stage0: compile_flatten=1 combined=1
14
+ [optimizer] stage0: forward_needs=xyz_lr,data,params+flatten prefetch_grad_channels=[] prefetch_nograd_channels=[]
15
+ [optimizer] stage0: flatten_max_update=0.1 (per-scale cap doubles at each coarser level)
16
+ [optimizer] stage0: fused_flatten_adam_clamp=1 (Triton CUDA with PyTorch fallback)
17
+ [optimizer] stage0: flatten_renorm_interval=500
18
+ [optimizer] progress columns
19
+ col : meaning | col : meaning | col : meaning
20
+ step : stage step | loss : total loss | it/s : optimizer it/s
21
+ f_sdir : flatten_sdir | f_sdirW : weighted flatten_sdir | f_estep : physical edge step loss
22
+ f_estpW : weighted physical edge step loss | f_avg : flatten_avg_offset | f_avgW : weighted flatten_avg_offset
23
+ f_orient : flatten_orient | f_oriW : weighted flatten_orient | f_step : flatten current avg grid step
24
+ step loss it/s f_sdir f_sdirW f_estep f_estpW f_avg f_avgW f_orient f_oriW f_step
25
+ stage0 0/4500 1.4429 1.1148 1.1148 0.3281 0.3281 0.0000 0.0000 0.0000 0.0000 20.000
26
+ stage0 1/4500 1.4429 0.1 1.1148 1.1148 0.3281 0.3281 0.0000 0.0000 0.0000 0.0000 20.000
27
+ stage0 100/4500 0.3337 106.9 0.2409 0.2409 0.0928 0.0928 0.0000 0.0000 0.0000 0.0000 19.978
28
+ stage0 200/4500 0.1747 166.7 0.1192 0.1192 0.0555 0.0555 0.0000 0.0000 0.0000 0.0000 19.979
29
+ stage0 300/4500 0.1027 161.3 0.0695 0.0695 0.0332 0.0332 0.0000 0.0000 0.0000 0.0000 19.985
30
+ stage0 400/4500 0.0726 154.9 0.0497 0.0497 0.0229 0.0229 0.0000 0.0000 0.0000 0.0000 19.991
31
+ [optimizer] stage0: flatten renorm step=500 avg_step=19.9972 target=20 uv_scale=0.999858
32
+ stage0 500/4500 0.0596 157.5 0.0416 0.0416 0.0180 0.0180 0.0000 0.0000 0.0000 0.0000 20.000
33
+ stage0 600/4500 0.0519 158.0 0.0364 0.0364 0.0155 0.0155 0.0000 0.0000 0.0000 0.0000 20.000
34
+ stage0 700/4500 0.0497 207.4 0.0344 0.0344 0.0153 0.0153 0.0000 0.0000 0.0000 0.0000 20.002
35
+ stage0 800/4500 0.0501 216.0 0.0337 0.0337 0.0164 0.0164 0.0000 0.0000 0.0000 0.0000 20.005
36
+ stage0 900/4500 0.0488 189.2 0.0332 0.0332 0.0156 0.0156 0.0000 0.0000 0.0000 0.0000 20.004
37
+ [optimizer] stage0: flatten renorm step=1000 avg_step=20.006 target=20 uv_scale=1.0003
38
+ stage0 1000/4500 0.0488 173.3 0.0328 0.0328 0.0159 0.0159 0.0000 0.0000 0.0000 0.0000 20.000
39
+ stage0 1100/4500 0.0485 150.5 0.0326 0.0326 0.0158 0.0158 0.0000 0.0000 0.0000 0.0000 20.006
40
+ stage0 1200/4500 0.0479 168.0 0.0323 0.0323 0.0157 0.0157 0.0000 0.0000 0.0000 0.0000 20.006
41
+ stage0 1300/4500 0.0477 195.0 0.0321 0.0321 0.0156 0.0156 0.0000 0.0000 0.0000 0.0000 20.006
42
+ stage0 1400/4500 0.0470 170.5 0.0320 0.0320 0.0150 0.0150 0.0000 0.0000 0.0000 0.0000 20.006
43
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