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python train.py --config-name apps/nerf_synthetic_3dgut.yaml path=/data1/nerf_synthetic/lego out_dir=runs experiment_name=lego
_3dgut
[20:53:08] [INFO] Git hash: 7af3e6a5c50cee5cbee7a314e2e4c571202edb53 logger.py:60
[INFO] Compiling native code.. logger.py:60
────────────────────────────────────────────────────────────────────────────────────────────────────── Load Datasets ──────────────────────────────────────────────────────────────────────────────────────────────────────
Load Dataset (train) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% :: 🕒 Elapsed 0:00:00
Load Dataset (val) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 100% :: 🕒 Elapsed 0:00:00
──────────────────────────────────────────────────────────────────────────────────────────────────── Initialize Model ─────────────────────────────────────────────────────────────────────────────────────────────────────
Using /home/User/cache/torch_extensions/py311_cu118 as PyTorch extensions root...
I use
python train.py --config-name apps/nerf_synthetic_3dgut.yaml path=/data1/nerf_synthetic/lego out_dir=runs experiment_name=lego
_3dgut
to run the 3DGUT.
However, the output got stuck at this step:
Using /home/kongsujie/.cache/torch_extensions/py311_cu118 as PyTorch extensions root...
Phenomenon:
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The 3dgut program cannot proceed normally on A6000(), but can run on 4090
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When I run 3dgrt, this issue does not appare.
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