configs/config/benchmark/linear_image_classification/imagenet1k/other_styles/eval_resnet_final_output_8gpu_transfer_in1k_linear.yaml [2:59]:
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config:
  VERBOSE: True
  LOG_FREQUENCY: 200
  TEST_ONLY: False
  TEST_EVERY_NUM_EPOCH: 1
  TEST_MODEL: True
  SEED_VALUE: 1
  MULTI_PROCESSING_METHOD: forkserver
  HOOKS:
    PERF_STATS:
      MONITOR_PERF_STATS: True
  DATA:
    NUM_DATALOADER_WORKERS: 5
    TRAIN:
      DATA_SOURCES: [disk_folder]
      LABEL_SOURCES: [disk_folder]
      DATASET_NAMES: [imagenet1k_folder]
      BATCHSIZE_PER_REPLICA: 32
      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]
      MMAP_MODE: True
      COPY_TO_LOCAL_DISK: False
      COPY_DESTINATION_DIR: /tmp/imagenet1k/
    TEST:
      DATA_SOURCES: [disk_folder]
      LABEL_SOURCES: [disk_folder]
      DATASET_NAMES: [imagenet1k_folder]
      BATCHSIZE_PER_REPLICA: 32
      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]
      MMAP_MODE: True
      COPY_TO_LOCAL_DISK: False
      COPY_DESTINATION_DIR: /tmp/imagenet1k/
  METERS:
    name: accuracy_list_meter
    accuracy_list_meter:
      num_meters: 1
      topk_values: [1, 5]
  TRAINER:
    TRAIN_STEP_NAME: standard_train_step
  MODEL:
    FEATURE_EVAL_SETTINGS:
      EVAL_MODE_ON: True
      FREEZE_TRUNK_ONLY: True
      LINEAR_EVAL_FEAT_POOL_OPS_MAP: [
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configs/config/benchmark/linear_image_classification/imagenet1k/other_styles/eval_resnet_res5_avgpool_output_8gpu_transfer_in1k_linear.yaml [2:59]:
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config:
  VERBOSE: True
  LOG_FREQUENCY: 200
  TEST_ONLY: False
  TEST_EVERY_NUM_EPOCH: 1
  TEST_MODEL: True
  SEED_VALUE: 1
  MULTI_PROCESSING_METHOD: forkserver
  HOOKS:
    PERF_STATS:
      MONITOR_PERF_STATS: True
  DATA:
    NUM_DATALOADER_WORKERS: 5
    TRAIN:
      DATA_SOURCES: [disk_folder]
      LABEL_SOURCES: [disk_folder]
      DATASET_NAMES: [imagenet1k_folder]
      BATCHSIZE_PER_REPLICA: 32
      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]
      MMAP_MODE: True
      COPY_TO_LOCAL_DISK: False
      COPY_DESTINATION_DIR: /tmp/imagenet1k/
    TEST:
      DATA_SOURCES: [disk_folder]
      LABEL_SOURCES: [disk_folder]
      DATASET_NAMES: [imagenet1k_folder]
      BATCHSIZE_PER_REPLICA: 32
      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]
      MMAP_MODE: True
      COPY_TO_LOCAL_DISK: False
      COPY_DESTINATION_DIR: /tmp/imagenet1k/
  METERS:
    name: accuracy_list_meter
    accuracy_list_meter:
      num_meters: 1
      topk_values: [1, 5]
  TRAINER:
    TRAIN_STEP_NAME: standard_train_step
  MODEL:
    FEATURE_EVAL_SETTINGS:
      EVAL_MODE_ON: True
      FREEZE_TRUNK_ONLY: True
      LINEAR_EVAL_FEAT_POOL_OPS_MAP: [
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