configs/archive/imagenet/anynet/R-101-1x64d_step_1gpu.yaml [9:39]:
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  WIDTHS: [256, 512, 1024, 2048]
  STRIDES: [1, 2, 2, 2]
  BOT_MULS: [0.25, 0.25, 0.25, 0.25]
  GROUP_WS: [64, 128, 256, 512]
BN:
  ZERO_INIT_FINAL_GAMMA: True
OPTIM:
  BASE_LR: 0.0125
  LR_POLICY: steps
  STEPS: [0, 30, 60, 90]
  LR_MULT: 0.1
  MAX_EPOCH: 100
  MOMENTUM: 0.9
  NESTEROV: True
  WEIGHT_DECAY: 0.0001
TRAIN:
  DATASET: imagenet
  SPLIT: train
  BATCH_SIZE: 32
  IM_SIZE: 224
TEST:
  DATASET: imagenet
  SPLIT: val
  BATCH_SIZE: 25
  IM_SIZE: 256
NUM_GPUS: 1
DATA_LOADER:
  NUM_WORKERS: 4
CUDNN:
  BENCHMARK: True
OUT_DIR: .
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configs/archive/imagenet/anynet/R-50-1x64d_step_1gpu.yaml [9:39]:
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  WIDTHS: [256, 512, 1024, 2048]
  STRIDES: [1, 2, 2, 2]
  BOT_MULS: [0.25, 0.25, 0.25, 0.25]
  GROUP_WS: [64, 128, 256, 512]
BN:
  ZERO_INIT_FINAL_GAMMA: True
OPTIM:
  BASE_LR: 0.0125
  LR_POLICY: steps
  STEPS: [0, 30, 60, 90]
  LR_MULT: 0.1
  MAX_EPOCH: 100
  MOMENTUM: 0.9
  NESTEROV: True
  WEIGHT_DECAY: 0.0001
TRAIN:
  DATASET: imagenet
  SPLIT: train
  BATCH_SIZE: 32
  IM_SIZE: 224
TEST:
  DATASET: imagenet
  SPLIT: val
  BATCH_SIZE: 25
  IM_SIZE: 256
NUM_GPUS: 1
DATA_LOADER:
  NUM_WORKERS: 4
CUDNN:
  BENCHMARK: True
OUT_DIR: .
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