configs/config/benchmark/linear_image_classification/imagenet1k/models/deit_s16.yaml [2:62]:
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config:
  VERBOSE: False
  LOG_FREQUENCY: 10
  TEST_ONLY: False
  TEST_MODEL: True
  SEED_VALUE: 0
  MULTI_PROCESSING_METHOD: forkserver
  HOOKS:
    PERF_STATS:
      MONITOR_PERF_STATS: True
      ROLLING_BTIME_FREQ: 313
      PERF_STAT_FREQUENCY: 10
    TENSORBOARD_SETUP:
      USE_TENSORBOARD: True
      EXPERIMENT_LOG_DIR:
      FLUSH_EVERY_N_MIN: 20
  CHECKPOINT:
    DIR: "."
    AUTO_RESUME: True
    CHECKPOINT_FREQUENCY: 10
  DATA:
    NUM_DATALOADER_WORKERS: 5
    TRAIN:
      DATA_SOURCES: [disk_folder]
      LABEL_SOURCES: [disk_folder]
      DATASET_NAMES: [imagenet1k_folder]
      BATCHSIZE_PER_REPLICA: 2048
      TRANSFORMS:
        - name: RandomResizedCrop
          size: 224
        - name: RandomHorizontalFlip
        - name: ToTensor
        - name: Normalize
          mean: [0.485, 0.456, 0.406]
          std: [0.229, 0.224, 0.225]
    TEST:
      DATA_SOURCES: [disk_folder]
      LABEL_SOURCES: [disk_folder]
      DATASET_NAMES: [imagenet1k_folder]
      BATCHSIZE_PER_REPLICA: 2048
      TRANSFORMS:
        - name: Resize
          size: 256
        - name: CenterCrop
          size: 224
        - name: ToTensor
        - name: Normalize
          mean: [0.485, 0.456, 0.406]
          std: [0.229, 0.224, 0.225]
  MODEL:
    GRAD_CLIP:
      USE_GRAD_CLIP: False
    FEATURE_EVAL_SETTINGS:
      EVAL_MODE_ON: True
      FREEZE_TRUNK_ONLY: True
    TRUNK:
      NAME: vision_transformer
      VISION_TRANSFORMERS:
        IMAGE_SIZE: 224
        PATCH_SIZE: 16
        NUM_LAYERS: 12
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configs/config/benchmark/linear_image_classification/imagenet1k/models/vit_b16.yaml [2:62]:
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config:
  VERBOSE: False
  LOG_FREQUENCY: 10
  TEST_ONLY: False
  TEST_MODEL: True
  SEED_VALUE: 0
  MULTI_PROCESSING_METHOD: forkserver
  HOOKS:
    PERF_STATS:
      MONITOR_PERF_STATS: True
      ROLLING_BTIME_FREQ: 313
      PERF_STAT_FREQUENCY: 10
    TENSORBOARD_SETUP:
      USE_TENSORBOARD: True
      EXPERIMENT_LOG_DIR:
      FLUSH_EVERY_N_MIN: 20
  CHECKPOINT:
    DIR: "."
    AUTO_RESUME: True
    CHECKPOINT_FREQUENCY: 10
  DATA:
    NUM_DATALOADER_WORKERS: 5
    TRAIN:
      DATA_SOURCES: [disk_folder]
      LABEL_SOURCES: [disk_folder]
      DATASET_NAMES: [imagenet1k_folder]
      BATCHSIZE_PER_REPLICA: 2048
      TRANSFORMS:
        - name: RandomResizedCrop
          size: 224
        - name: RandomHorizontalFlip
        - name: ToTensor
        - name: Normalize
          mean: [0.485, 0.456, 0.406]
          std: [0.229, 0.224, 0.225]
    TEST:
      DATA_SOURCES: [disk_folder]
      LABEL_SOURCES: [disk_folder]
      DATASET_NAMES: [imagenet1k_folder]
      BATCHSIZE_PER_REPLICA: 2048
      TRANSFORMS:
        - name: Resize
          size: 256
        - name: CenterCrop
          size: 224
        - name: ToTensor
        - name: Normalize
          mean: [0.485, 0.456, 0.406]
          std: [0.229, 0.224, 0.225]
  MODEL:
    GRAD_CLIP:
      USE_GRAD_CLIP: False
    FEATURE_EVAL_SETTINGS:
      EVAL_MODE_ON: True
      FREEZE_TRUNK_ONLY: True
    TRUNK:
      NAME: vision_transformer
      VISION_TRANSFORMERS:
        IMAGE_SIZE: 224
        PATCH_SIZE: 16
        NUM_LAYERS: 12
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