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GPUS: (0,1,2,3)
LOG_DIR: 'log/'
DATA_DIR: ''
OUTPUT_DIR: 'output/'
WORKERS: 4
PRINT_FREQ: 1000

MODEL: 
  NAME: cls_hrnet
  IMAGE_SIZE: 
    - 224
    - 224
  EXTRA:
    STAGE1:
      NUM_MODULES: 1
      NUM_RANCHES: 1
      BLOCK: BOTTLENECK
      NUM_BLOCKS:
      - 4
      NUM_CHANNELS:
      - 64
      FUSE_METHOD: SUM
    STAGE2:
      NUM_MODULES: 1
      NUM_BRANCHES: 2
      BLOCK: BASIC
      NUM_BLOCKS:
      - 4
      - 4
      NUM_CHANNELS:
      - 64
      - 128
      FUSE_METHOD: SUM
    STAGE3:
      NUM_MODULES: 4
      NUM_BRANCHES: 3
      BLOCK: BASIC
      NUM_BLOCKS:
      - 4
      - 4
      - 4
      NUM_CHANNELS:
      - 64
      - 128
      - 256
      FUSE_METHOD: SUM
    STAGE4:
      NUM_MODULES: 3
      NUM_BRANCHES: 4
      BLOCK: BASIC
      NUM_BLOCKS:
      - 4
      - 4
      - 4
      - 4
      NUM_CHANNELS:
      - 64
      - 128
      - 256
      - 512
      FUSE_METHOD: SUM
CUDNN:
  BENCHMARK: true
  DETERMINISTIC: false
  ENABLED: true
DATASET:
  DATASET: 'imagenet'
  DATA_FORMAT: 'jpg'
  ROOT: 'data/imagenet/'
  TEST_SET: 'val'
  TRAIN_SET: 'train'
TEST:
  BATCH_SIZE_PER_GPU: 32
  MODEL_FILE: ''
TRAIN:
  BATCH_SIZE_PER_GPU: 32
  BEGIN_EPOCH: 0
  END_EPOCH: 100
  RESUME: true
  LR_FACTOR: 0.1
  LR_STEP:
  - 30
  - 60
  - 90
  OPTIMIZER: sgd
  LR: 0.05
  WD: 0.0001
  MOMENTUM: 0.9
  NESTEROV: true
  SHUFFLE: true
DEBUG:
  DEBUG: false