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imagenet-1k-random-20.0-frac-1over64

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meg HF staff commited on 16 days ago

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44ac0b8

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__pycache__/app.cpython-39.pyc +0 -0
app.py +1 -0
pytorch-image-models/timm/data/__pycache__/transforms_factory.cpython-39.pyc +0 -0
pytorch-image-models/timm/data/readers/__pycache__/reader_hfds.cpython-39.pyc +0 -0
pytorch-image-models/timm/models/__pycache__/_pretrained.cpython-39.pyc +0 -0
pytorch-image-models/timm/models/__pycache__/coat.cpython-39.pyc +0 -0
pytorch-image-models/timm/models/__pycache__/vision_transformer.cpython-39.pyc +0 -0

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@@ -25,6 +25,7 @@ def start_train():
 #    API.add_space_variable(repo_id=REPO_ID, key='STATUS', value='COMPUTING')
     # Handles CUDA OOM errors.
     os.system(f"export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True")
     os.system("echo 'Okay, trying training.'")
     os.system(f"cd pytorch-image-models; ./train.sh 4 --dataset hfds/{REPO_ID} --log-wandb --experiment {REPO_ID} --model seresnet34 --sched cosine --epochs 150 --warmup-epochs 5 --lr 0.4 --reprob 0.5 --remode pixel --batch-size 256 --amp -j 4")
     os.system("echo ls")

 #    API.add_space_variable(repo_id=REPO_ID, key='STATUS', value='COMPUTING')
     # Handles CUDA OOM errors.
     os.system(f"export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True")
+    os.system("export CUDA_LAUNCH_BLOCKING=1")
     os.system("echo 'Okay, trying training.'")
     os.system(f"cd pytorch-image-models; ./train.sh 4 --dataset hfds/{REPO_ID} --log-wandb --experiment {REPO_ID} --model seresnet34 --sched cosine --epochs 150 --warmup-epochs 5 --lr 0.4 --reprob 0.5 --remode pixel --batch-size 256 --amp -j 4")
     os.system("echo ls")

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