configs/ade20k-150/Base-ADE20K-150.yaml [23:50]:
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  WARMUP_FACTOR: 1.0
  WARMUP_ITERS: 0
  WEIGHT_DECAY: 0.0001
  OPTIMIZER: "ADAMW"
  LR_SCHEDULER_NAME: "WarmupPolyLR"
  BACKBONE_MULTIPLIER: 0.1
  CLIP_GRADIENTS:
    ENABLED: True
    CLIP_TYPE: "full_model"
    CLIP_VALUE: 0.01
    NORM_TYPE: 2.0
INPUT:
  MIN_SIZE_TRAIN: !!python/object/apply:eval ["[int(x * 0.1 * 512) for x in range(5, 21)]"]
  MIN_SIZE_TRAIN_SAMPLING: "choice"
  MIN_SIZE_TEST: 512
  MAX_SIZE_TRAIN: 2048
  MAX_SIZE_TEST: 2048
  CROP:
    ENABLED: True
    TYPE: "absolute"
    SIZE: (512, 512)
    SINGLE_CATEGORY_MAX_AREA: 1.0
  COLOR_AUG_SSD: True
  SIZE_DIVISIBILITY: 512  # used in dataset mapper
  FORMAT: "RGB"
  DATASET_MAPPER_NAME: "mask_former_semantic"
TEST:
  EVAL_PERIOD: 5000
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configs/ade20k-full-847/Base-ADE20KFull-847.yaml [23:50]:
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  WARMUP_FACTOR: 1.0
  WARMUP_ITERS: 0
  WEIGHT_DECAY: 0.0001
  OPTIMIZER: "ADAMW"
  LR_SCHEDULER_NAME: "WarmupPolyLR"
  BACKBONE_MULTIPLIER: 0.1
  CLIP_GRADIENTS:
    ENABLED: True
    CLIP_TYPE: "full_model"
    CLIP_VALUE: 0.01
    NORM_TYPE: 2.0
INPUT:
  MIN_SIZE_TRAIN: !!python/object/apply:eval ["[int(x * 0.1 * 512) for x in range(5, 21)]"]
  MIN_SIZE_TRAIN_SAMPLING: "choice"
  MIN_SIZE_TEST: 512
  MAX_SIZE_TRAIN: 2048
  MAX_SIZE_TEST: 2048
  CROP:
    ENABLED: True
    TYPE: "absolute"
    SIZE: (512, 512)
    SINGLE_CATEGORY_MAX_AREA: 1.0
  COLOR_AUG_SSD: True
  SIZE_DIVISIBILITY: 512  # used in dataset mapper
  FORMAT: "RGB"
  DATASET_MAPPER_NAME: "mask_former_semantic"
TEST:
  EVAL_PERIOD: 5000
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