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import shutil
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import sys
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import time
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import logging
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import torch
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import torch.backends.cudnn as cudnn
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import torch.distributed as dist
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import torch.nn as nn
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from torchvision.transforms import v2 as T
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from torchvision.datasets import ImageFolder
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import utils
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from modeling.unic import build_student_from_args
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from teachers import build_teachers, get_teacher_output
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from modeling.losses import unic_loss
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from dinov2.logging import setup_logging, ExternalLogger, MetricLogger
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from dinov2.distributed import get_global_rank
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logger = logging.getLogger()
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def get_args():
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--arch",
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type=str,
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default="vit_base",
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help="Architecture of the student model. "
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"See dinov2/models/vision_transformer.py for options.",
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)
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parser.add_argument(
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"--patch_size",
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type=int,
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default=16,
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help="Patch size for the student model.",
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)
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parser.add_argument(
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"--drop_path_rate",
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type=float,
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default=0.1,
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help="Drop path rate for the student model.",
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)
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parser.add_argument(
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"--lp_args",
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type=str,
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default="{'std': 0.02}",
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help="Dictionary of keyword arguments for the ladder of projector.",
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)
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parser.add_argument(
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"--teachers",
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type=str,
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default="dino_vitbase_16,deit3_vitbase_16,ibot_vitbase_16,dbotft_vitbase_16",
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help="Comma-separated list of teacher names.",
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)
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parser.add_argument(
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"--tnorm_ema_momentum_start",
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type=float,
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default=1.0,
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help="Starting value for the EMA momentum for teacher feature statistics.",
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)
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parser.add_argument(
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"--tnorm_ema_momentum_end",
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type=float,
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default=0.001,
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help="Final value for the EMA momentum for teacher feature statistics.",
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)
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parser.add_argument(
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"--t_drop_prob",
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type=float,
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default=0.5,
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help="Probability of dropping a teacher in loss.",
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)
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parser.add_argument(
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"--lam_lcos",
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default=0.5,
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type=float,
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help="Coefficient for the cosine loss.",
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)
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parser.add_argument(
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"--lam_lsl1",
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default=0.5,
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type=float,
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help="Coefficient for the smooth L1 loss.",
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)
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parser.add_argument(
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"--data_dir",
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type=str,
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help="Path for the ImageNet-1K data directory",
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)
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parser.add_argument(
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"--image_size",
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type=int,
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default=224,
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help="Image size (for both training and validation). "
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"We assume the input images are square.",
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