eval.yaml

# global configs
Global:
  checkpoints: null
  pretrained_model: ../best_model
  output_dir: /root/paddlejob/workspace/output/
  device: gpu
  save_interval: 1
  eval_during_train: True
  eval_interval: 1
  epochs: 200
  print_batch_step: 30
  use_visualdl: False
  # used for static mode and model export
  image_shape: [3, 224, 224]
  save_inference_dir: ./inference
  seed: 134
# model architecture
Arch:
  name: OctMobileNetV2_x1_125
  class_num: 1000

# loss function config for traing/eval process
Loss:
  Train:
    - CELoss:
        weight: 1.0
        epsilon: 0.1
  Eval:
    - CELoss:
        weight: 1.0

Optimizer:
  name: Momentum
  momentum: 0.9
  lr:
    name: Cosine
    learning_rate: 0.25
    warmup_epoch: 0
  regularizer:
    name: 'L2'
    coeff: 0.00003


# data loader for train and eval
DataLoader:
  Train:
    dataset:
      name: ImageNetDataset
      image_root: ../ILSVRC2012_w/
      cls_label_path: ../ILSVRC2012_w/train_list.txt
      transform_ops:
        - DecodeImage:
            to_rgb: True
            channel_first: False
        - RandCropImage:
            size: 192
        - RandFlipImage:
            flip_code: 1
        - NormalizeImage:
            scale: 1.0/255.0
            mean: [0.485, 0.456, 0.406]
            std: [0.229, 0.224, 0.225]
            order: ''
      batch_transform_ops:
        - MixupOperator:
            alpha: 0.2

    sampler:
      name: DistributedBatchSampler
      batch_size: 512
      drop_last: False
      shuffle: True
    loader:
      num_workers: 4
      use_shared_memory: True

  Eval:
    dataset:
      name: ImageNetDataset
      image_root: ../ILSVRC2012_w/
      cls_label_path: ../ILSVRC2012_w/val_list.txt
      transform_ops:
        - DecodeImage:
            to_rgb: True
            channel_first: False
        - ResizeImage:
            resize_short: 232
        - CropImage:
            size: 224
        - NormalizeImage:
            scale: 1.0/255.0
            mean: [0.485, 0.456, 0.406]
            std: [0.229, 0.224, 0.225]
            order: ''
    sampler:
      name: DistributedBatchSampler
      batch_size: 512
      drop_last: False
      shuffle: False
    loader:
      num_workers: 4
      use_shared_memory: True

Metric:
  Eval:
    - TopkAcc:
        topk: [1]