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Reorganized files
Browse files- tag.sh → slurm/tag.sh +0 -0
- train_a100_x1.sh → slurm/train_a100_x1.sh +0 -0
- train_a100_x4.sh → slurm/train_a100_x4.sh +0 -0
- train_v100_x1.sh → slurm/train_v100_x1.sh +0 -0
- train_v100_x4.sh → slurm/train_v100_x4.sh +0 -0
- data.py → src/data.py +1 -1
- labelmap.py → src/labelmap.py +0 -0
- metrics.py → src/metrics.py +0 -0
- trainer.py → src/trainer.py +2 -2
- train.py +1 -1
tag.sh → slurm/tag.sh
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train_a100_x1.sh → slurm/train_a100_x1.sh
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train_a100_x4.sh → slurm/train_a100_x4.sh
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train_v100_x1.sh → slurm/train_v100_x1.sh
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train_v100_x4.sh → slurm/train_v100_x4.sh
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data.py → src/data.py
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@@ -14,7 +14,7 @@ import torch.utils.data as data
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from torch.utils.data import DataLoader
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from labelmap import DR_LABELMAP
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DataRecord = Tuple[Image.Image, int]
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from torch.utils.data import DataLoader
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from src.labelmap import DR_LABELMAP
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DataRecord = Tuple[Image.Image, int]
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labelmap.py → src/labelmap.py
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metrics.py → src/metrics.py
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trainer.py → src/trainer.py
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@@ -25,8 +25,8 @@ from transformers import AdamW
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from transformers import AutoImageProcessor, ResNetForImageClassification
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import lightning as L
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from data import RetinopathyDataset, Split
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from metrics import Metrics
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def worker_init_fn(worker_id: int) -> None:
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from transformers import AutoImageProcessor, ResNetForImageClassification
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import lightning as L
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from src.data import RetinopathyDataset, Split
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from src.metrics import Metrics
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def worker_init_fn(worker_id: int) -> None:
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train.py
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@@ -7,7 +7,7 @@ from lightning import Trainer
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from lightning.pytorch.loggers import TensorBoardLogger
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from lightning.pytorch.callbacks import ModelSummary
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from trainer import ViTLightningModule
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def main():
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from lightning.pytorch.loggers import TensorBoardLogger
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from lightning.pytorch.callbacks import ModelSummary
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from src.trainer import ViTLightningModule
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def main():
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