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Run Dossier

Training run for SD 2.1. Mari

35 metrics · 6,933 train · 7 val

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crashed Jun 28, 12:45 Duration: 1h 48m Python 3.11.7 train_joint.py --config /cluster/home/drothenpiele/models/stable_diffusion_mari/mari/.euler-launches/euler_launch_8fcbd5ca-25f2-40ca-ae28-ebc603aab37c/joint_vkitti.yaml
lr 4e-5batch 16epochs 200precision fp16model stable-diffusion-2-1 seed 42wd 0grad accum 1warmup 0.05000ema nograd clip 1
ID 4821650
mari/runs/2026-06-28_12-45-32_e7e1
Error
RuntimeError: Input type (c10::Half) and bias type (float) should be the same
Metrics 35/35
depth.train 16
loss 14
camera_ray
depth
depth_head
depth_tv
edge_smoothness
eg_ssi
geometry
geometry_consistency
geometry_log_depth
lambda_mse
multiscale_smoothness
point_aux
smoothness_aux
uncertainty
stat 2
geometry_depth_mean
geometry_uncertainty_mean
rgb.train 9
loss 7
dehaze
preserve
total
visibility
visibility_aux
visibility_rank
visibility_tv
stat 2
visibility_mean
visibility_std
sys.train 6
gpu_mem_total_gb
gpu_mem_used_gb
gpu_mem_util_pct
gpu_util_pct
lr
visibility_aux_scale
Legacy 4
data/camera 3
enabled/any/source
fields/emitted
rays/emitted
train/camera/valid/fraction
X-Axis
Y-Scale
Series
Group
Namespace

Camera Ray

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Depth

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Depth Head

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Depth Tv

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Edge Smoothness

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Eg Ssi

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Geometry

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Geometry Consistency

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Geometry Log Depth

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Lambda Mse

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Multiscale Smoothness

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Point Aux

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Smoothness Aux

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Uncertainty

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Geometry Depth Mean

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Geometry Uncertainty Mean

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Dehaze

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Preserve

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Total

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Visibility

kind=loss
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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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Gpu Mem Total Gb

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Gpu Mem Used Gb

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Gpu Mem Util Pct

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Gpu 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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