Merge pull request #774 from cuicheng01/develop_reg

Update MobileNetV3_large_x1_0_CIFAR100_finetune.yaml

ppcls/configs/quick_start/professional/MobileNetV3_large_x1_0_CIFAR100_finetune.yaml

-mode: 'train'
-ARCHITECTURE:
-    name: 'MobileNetV3_large_x1_0'
+# global configs
+Global:
+  checkpoints: null
+  pretrained_model: null
+  output_dir: "./output/"
+  device: "gpu"
+  class_num: 100
+  save_interval: 1
+  eval_during_train: True
+  eval_interval: 1
+  epochs: 50
+  print_batch_step: 10
+  use_visualdl: False
+  # used for static mode and model export
+  image_shape: [3, 32, 32]
+  save_inference_dir: "./inference"
 
-checkpoints: ""
-pretrained_model: "./pretrained/MobileNetV3_large_x1_0_pretrained"
-model_save_dir: "./output/"
-classes_num: 100
-total_images: 50000
-save_interval: 1
-validate: True
-valid_interval: 1
-epochs: 100
-topk: 5
-image_shape: [3, 32, 32]
-use_mix: False
+# model architecture
+Arch:
+  name: "MobileNetV3_large_x1_0"
  
-LEARNING_RATE:
-    function: 'Cosine'          
-    params:                   
-        lr: 0.04
+# loss function config for traing/eval process
+Loss:
+  Train:
+    - CELoss:
+        weight: 1.0
+        epsilon: 0.1
+  Eval:
+    - CELoss:
+        weight: 1.0
 
-OPTIMIZER:
-    function: 'Momentum'
-    params:
+
+Optimizer:
+  name: Momentum
   momentum: 0.9
+  lr:
+    name: Cosine
+    learning_rate: 0.04
   regularizer:
-        function: 'L2'
-        factor: 0.0001
+    name: 'L2'
+    coeff: 0.0001
 
-TRAIN:
-    batch_size: 1024
-    num_workers: 4
-    file_list: "./dataset/CIFAR100/train_list.txt"
-    data_dir: "./dataset/CIFAR100/"
-    shuffle_seed: 0
-    transforms:
-        - DecodeImage:
-            to_rgb: True
-            channel_first: False
+
+# data loader for train and eval
+DataLoader:
+  Train:
+    dataset:
+        name: ImageNetDataset
+        image_root: "./dataset/CIFAR100/"
+        cls_label_path: "./dataset/CIFAR100/train_list.txt"
+        transform_ops:
           - RandCropImage:
               size: 32
+              scale: [0.5, 1]
+              ratio: [1, 1]
           - RandFlipImage:
               flip_code: 1
           - NormalizeImage:
-            scale: 1./255.
+              scale: 0.00392157
               mean: [0.485, 0.456, 0.406]
               std: [0.229, 0.224, 0.225]
               order: ''
-        - ToCHWImage:
 
-    mix:
-        - MixupOperator:
-            alpha: 0.2
+    sampler:
+        name: DistributedBatchSampler
+        batch_size: 1000
+        drop_last: False
+        shuffle: True
+    loader:
+        num_workers: 6
+        use_shared_memory: False
 
+  Eval:
+    # TOTO: modify to the latest trainer
+    dataset: 
+        name: ImageNetDataset
+        image_root: "./dataset/CIFAR100/"
+        cls_label_path: "./dataset/CIFAR100/test_list.txt"
+        transform_ops:
+          - ResizeImage:
+              resize_short: 36
+          - CropImage:
+              size: 32
+          - NormalizeImage:
+              scale: 0.00392157
+              mean: [0.485, 0.456, 0.406]
+              std: [0.229, 0.224, 0.225]
+              order: ''
+    sampler:
+        name: DistributedBatchSampler
+        batch_size: 1000
+        drop_last: False
+        shuffle: False
+    loader:
+        num_workers: 6
+        use_shared_memory: False
 
-VALID:
-    batch_size: 256
-    num_workers: 0
-    file_list: "./dataset/CIFAR100/test_list.txt"
-    data_dir: "./dataset/CIFAR100/"
-    shuffle_seed: 0
+Infer:
+  infer_imgs: "docs/images/whl/demo.jpg"
+  batch_size: 10
   transforms:
       - DecodeImage:
           to_rgb: True
@@ -74,3 +112,16 @@ VALID:
           std: [0.229, 0.224, 0.225]
           order: ''
       - ToCHWImage:
+  PostProcess:
+    name: Topk
+    topk: 5
+    class_id_map_file: "ppcls/utils/imagenet1k_label_list.txt"
+
+Metric:
+    Train:
+    - Topk:
+        k: [1, 5]
+    Eval:
+    - Topk:
+        k: [1, 5]
+