Update ResNet50_retrieval.yml

ppcls/configs/ImageNet/ResNet/ResNet50_retrieval.yml

-a 
+# global configs
+Global:
+  checkpoints: null
+  pretrained_model: null
+  output_dir: "./output/"
+  device: "gpu"
+  class_num: 1000
+  save_interval: 1
+  eval_during_train: True
+  eval_interval: 1
+  epochs: 120
+  print_batch_step: 10
+  use_visualdl: False
+  image_shape: [3, 224, 224]
+  infer_imgs:
+
+# model architecture
+Arch:  
+  name: "RecModel"
+  Backbone:
+    name: "ResNet50"
+  Stoplayer: 
+    name: "flatten_0"
+    output_dim: 2048
+    embedding_size: 512
+  Head:
+    name: "ArcMargin"
+    margin: 0.5
+    scale:  80
+ 
+# loss function config for traing/eval process
+Loss:
+  Train:
+    - CELoss:
+        weight: 1.0
+  Eval:
+    - CELoss:
+        weight: 1.0
+
+
+Optimizer:
+  name: Momentum
+  momentum: 0.9
+  lr:
+    name: Piecewise
+    learning_rate: 0.1
+    decay_epochs: [30, 60, 90]
+    values: [0.1, 0.01, 0.001, 0.0001]
+  regularizer:
+    name: 'L2'
+    coeff: 0.0001
+
+# data loader for train and eval
+DataLoader:
+  Train:
+    # Dataset:
+    # Sampler:
+    # Loader:
+    batch_size: 256
+    num_workers: 4
+    file_list: "./dataset/ILSVRC2012/train_list.txt"
+    data_dir: "./dataset/ILSVRC2012/"
+    shuffle_seed: 0
+    transforms:
+        - DecodeImage:
+            to_rgb: True
+            channel_first: False
+        - RandCropImage:
+            size: 224
+        - RandFlipImage:
+            flip_code: 1
+        - NormalizeImage:
+            scale: 1./255.
+            mean: [0.485, 0.456, 0.406]
+            std: [0.229, 0.224, 0.225]
+            order: ''
+        - ToCHWImage:
+  Eval:
+    # TOTO: modify to the latest trainer
+    # Dataset:
+    # Sampler:
+    # Loader:
+    batch_size: 128
+    num_workers: 4
+    file_list: "./dataset/ILSVRC2012/val_list.txt"
+    data_dir: "./dataset/ILSVRC2012/"
+    shuffle_seed: 0
+    transforms:
+        - DecodeImage:
+            to_rgb: True
+            channel_first: False
+        - ResizeImage:
+            resize_short: 256
+        - CropImage:
+            size: 224
+        - NormalizeImage:
+            scale: 1.0/255.0
+            mean: [0.485, 0.456, 0.406]
+            std: [0.229, 0.224, 0.225]
+            order: ''
+        - ToCHWImage:
+
+Metric:
+    Train:
+    - Topk:
+        k: [1, 5]
+    Eval:
+    - Topk:
+        k: [1, 5]