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Training run for SD 2.1. Mari

49 metrics · 5,601 train · 7 val

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crashed Sep 9, 14:16 Duration: 1h 23m Python 3.11.7 train_joint.py --config /cluster/home/drothenpiele/models/stable_diffusion_mari/mari/.euler-launches/euler_launch_731855cd-5a4a-46ec-a435-991a682351cb/joint_vkitti.yaml
lr 4e-5batch 24epochs 200precision fp16model stable-diffusion-2-1 seed 42wd 0grad accum 1warmup 0.1000ema nograd clip 1
ID 13502728
mari/runs/2026-09-09_14-16-35_7b1a
Error
RuntimeError: Input type (c10::Half) and bias type (float) should be the same
Metrics 49/49
depth.train 10
depth
depth_gradient
depth_head
depth_tv
edge_smoothness
gt_edge_smoothness
head_regularization
multiscale_smoothness
prediction_l2
smoothness_aux
rgb.train 10
loss 8
dehaze
prediction_l2
preserve
total
visibility
visibility_aux
visibility_rank
visibility_tv
stat 2
visibility_mean
visibility_std
segmentation.train 8
loss 7
bce
dice
direct
head_total
prediction_l2
sdf
total
stat 1
sdf_mean
sys.train 6
gpu_mem_total_gb
gpu_mem_used_gb
gpu_mem_util_pct
gpu_util_pct
lr
visibility_aux_scale
Legacy 15
data/camera 3
enabled/any/source
fields/emitted
rays/emitted
train 12
timestep 11
histogram/bin 10
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01
02
03
04
05
06
07
08
09
fraction/last
camera/valid/fraction
49 selected
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Depth

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Depth Gradient

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Depth Head

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Depth Tv

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Edge Smoothness

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Gt Edge Smoothness

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Head Regularization

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Multiscale Smoothness

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Prediction L2

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Dehaze

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Preserve

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Total

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Visibility

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Visibility Aux

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Visibility Rank

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Visibility Tv

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Visibility Mean

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Visibility Std

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Bce

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Dice

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Direct

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Head Total

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Prediction L2

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Sdf

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Total

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Sdf Mean

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Gpu Mem Total Gb

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Gpu Mem Used Gb

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Gpu Mem Util Pct

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Lr

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Visibility Aux Scale

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Data/Camera Enabled Any Source

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Data/Camera Fields Emitted

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Data/Camera Rays Emitted

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Train/Camera Valid Fraction

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Train/Timestep Fraction Last

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Train/Timestep Histogram/Bin 00

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