diff --git a/src/PaddleClas/output_CIFAR/ResNet50_vd/train.log b/src/PaddleClas/output_CIFAR/ResNet50_vd/train.log
new file mode 100644
index 0000000..f74f09b
--- /dev/null
+++ b/src/PaddleClas/output_CIFAR/ResNet50_vd/train.log
@@ -0,0 +1,497 @@
+[2022/04/18 12:43:50] root INFO: 
+===========================================================
+==        PaddleClas is powered by PaddlePaddle !        ==
+===========================================================
+==                                                       ==
+==   For more info please go to the following website.   ==
+==                                                       ==
+==       https://github.com/PaddlePaddle/PaddleClas      ==
+===========================================================
+
+[2022/04/18 12:43:50] root INFO: Arch : 
+[2022/04/18 12:43:50] root INFO:     class_num : 100
+[2022/04/18 12:43:50] root INFO:     name : ResNet50_vd
+[2022/04/18 12:43:50] root INFO: DataLoader : 
+[2022/04/18 12:43:50] root INFO:     Eval : 
+[2022/04/18 12:43:50] root INFO:         dataset : 
+[2022/04/18 12:43:50] root INFO:             cls_label_path : ./dataset/CIFAR100/test_list.txt
+[2022/04/18 12:43:50] root INFO:             image_root : ./dataset/CIFAR100/
+[2022/04/18 12:43:50] root INFO:             name : ImageNetDataset
+[2022/04/18 12:43:50] root INFO:             transform_ops : 
+[2022/04/18 12:43:50] root INFO:                 DecodeImage : 
+[2022/04/18 12:43:50] root INFO:                     channel_first : False
+[2022/04/18 12:43:50] root INFO:                     to_rgb : True
+[2022/04/18 12:43:50] root INFO:                 ResizeImage : 
+[2022/04/18 12:43:50] root INFO:                     resize_short : 36
+[2022/04/18 12:43:50] root INFO:                 CropImage : 
+[2022/04/18 12:43:50] root INFO:                     size : 32
+[2022/04/18 12:43:50] root INFO:                 NormalizeImage : 
+[2022/04/18 12:43:50] root INFO:                     mean : [0.485, 0.456, 0.406]
+[2022/04/18 12:43:50] root INFO:                     order : 
+[2022/04/18 12:43:50] root INFO:                     scale : 1.0/255.0
+[2022/04/18 12:43:50] root INFO:                     std : [0.229, 0.224, 0.225]
+[2022/04/18 12:43:50] root INFO:         loader : 
+[2022/04/18 12:43:50] root INFO:             num_workers : 4
+[2022/04/18 12:43:50] root INFO:             use_shared_memory : True
+[2022/04/18 12:43:50] root INFO:         sampler : 
+[2022/04/18 12:43:50] root INFO:             batch_size : 64
+[2022/04/18 12:43:50] root INFO:             drop_last : False
+[2022/04/18 12:43:50] root INFO:             name : DistributedBatchSampler
+[2022/04/18 12:43:50] root INFO:             shuffle : False
+[2022/04/18 12:43:50] root INFO:     Train : 
+[2022/04/18 12:43:50] root INFO:         dataset : 
+[2022/04/18 12:43:50] root INFO:             cls_label_path : ./dataset/CIFAR100/train_list.txt
+[2022/04/18 12:43:50] root INFO:             image_root : ./dataset/CIFAR100/
+[2022/04/18 12:43:50] root INFO:             name : ImageNetDataset
+[2022/04/18 12:43:50] root INFO:             transform_ops : 
+[2022/04/18 12:43:50] root INFO:                 DecodeImage : 
+[2022/04/18 12:43:50] root INFO:                     channel_first : False
+[2022/04/18 12:43:50] root INFO:                     to_rgb : True
+[2022/04/18 12:43:50] root INFO:                 RandCropImage : 
+[2022/04/18 12:43:50] root INFO:                     size : 32
+[2022/04/18 12:43:50] root INFO:                 RandFlipImage : 
+[2022/04/18 12:43:50] root INFO:                     flip_code : 1
+[2022/04/18 12:43:50] root INFO:                 NormalizeImage : 
+[2022/04/18 12:43:50] root INFO:                     mean : [0.485, 0.456, 0.406]
+[2022/04/18 12:43:50] root INFO:                     order : 
+[2022/04/18 12:43:50] root INFO:                     scale : 1.0/255.0
+[2022/04/18 12:43:50] root INFO:                     std : [0.229, 0.224, 0.225]
+[2022/04/18 12:43:50] root INFO:         loader : 
+[2022/04/18 12:43:50] root INFO:             num_workers : 4
+[2022/04/18 12:43:50] root INFO:             use_shared_memory : True
+[2022/04/18 12:43:50] root INFO:         sampler : 
+[2022/04/18 12:43:50] root INFO:             batch_size : 64
+[2022/04/18 12:43:50] root INFO:             drop_last : False
+[2022/04/18 12:43:50] root INFO:             name : DistributedBatchSampler
+[2022/04/18 12:43:50] root INFO:             shuffle : True
+[2022/04/18 12:43:50] root INFO: Global : 
+[2022/04/18 12:43:50] root INFO:     checkpoints : None
+[2022/04/18 12:43:50] root INFO:     device : gpu
+[2022/04/18 12:43:50] root INFO:     epochs : 100
+[2022/04/18 12:43:50] root INFO:     eval_during_train : True
+[2022/04/18 12:43:50] root INFO:     eval_interval : 1
+[2022/04/18 12:43:50] root INFO:     image_shape : [3, 32, 32]
+[2022/04/18 12:43:50] root INFO:     output_dir : output_CIFAR
+[2022/04/18 12:43:50] root INFO:     pretrained_model : None
+[2022/04/18 12:43:50] root INFO:     print_batch_step : 10
+[2022/04/18 12:43:50] root INFO:     save_inference_dir : ./inference
+[2022/04/18 12:43:50] root INFO:     save_interval : 1
+[2022/04/18 12:43:50] root INFO:     use_visualdl : False
+[2022/04/18 12:43:50] root INFO: Infer : 
+[2022/04/18 12:43:50] root INFO:     PostProcess : 
+[2022/04/18 12:43:50] root INFO:         name : Topk
+[2022/04/18 12:43:50] root INFO:         topk : 5
+[2022/04/18 12:43:50] root INFO:     batch_size : 10
+[2022/04/18 12:43:50] root INFO:     infer_imgs : docs/images/inference_deployment/whl_demo.jpg
+[2022/04/18 12:43:50] root INFO:     transforms : 
+[2022/04/18 12:43:50] root INFO:         DecodeImage : 
+[2022/04/18 12:43:50] root INFO:             channel_first : False
+[2022/04/18 12:43:50] root INFO:             to_rgb : True
+[2022/04/18 12:43:50] root INFO:         ResizeImage : 
+[2022/04/18 12:43:50] root INFO:             resize_short : 36
+[2022/04/18 12:43:50] root INFO:         CropImage : 
+[2022/04/18 12:43:50] root INFO:             size : 32
+[2022/04/18 12:43:50] root INFO:         NormalizeImage : 
+[2022/04/18 12:43:50] root INFO:             mean : [0.485, 0.456, 0.406]
+[2022/04/18 12:43:50] root INFO:             order : 
+[2022/04/18 12:43:50] root INFO:             scale : 1.0/255.0
+[2022/04/18 12:43:50] root INFO:             std : [0.229, 0.224, 0.225]
+[2022/04/18 12:43:50] root INFO:         ToCHWImage : None
+[2022/04/18 12:43:50] root INFO: Loss : 
+[2022/04/18 12:43:50] root INFO:     Eval : 
+[2022/04/18 12:43:50] root INFO:         CELoss : 
+[2022/04/18 12:43:50] root INFO:             weight : 1.0
+[2022/04/18 12:43:50] root INFO:     Train : 
+[2022/04/18 12:43:50] root INFO:         CELoss : 
+[2022/04/18 12:43:50] root INFO:             weight : 1.0
+[2022/04/18 12:43:50] root INFO: Metric : 
+[2022/04/18 12:43:50] root INFO:     Eval : 
+[2022/04/18 12:43:50] root INFO:         TopkAcc : 
+[2022/04/18 12:43:50] root INFO:             topk : [1, 5]
+[2022/04/18 12:43:50] root INFO:     Train : 
+[2022/04/18 12:43:50] root INFO:         TopkAcc : 
+[2022/04/18 12:43:50] root INFO:             topk : [1, 5]
+[2022/04/18 12:43:50] root INFO: Optimizer : 
+[2022/04/18 12:43:50] root INFO:     lr : 
+[2022/04/18 12:43:50] root INFO:         learning_rate : 0.04
+[2022/04/18 12:43:50] root INFO:         name : Cosine
+[2022/04/18 12:43:50] root INFO:     momentum : 0.9
+[2022/04/18 12:43:50] root INFO:     name : Momentum
+[2022/04/18 12:43:50] root INFO:     regularizer : 
+[2022/04/18 12:43:50] root INFO:         coeff : 0.0001
+[2022/04/18 12:43:50] root INFO:         name : L2
+[2022/04/18 12:43:50] root INFO: profiler_options : None
+[2022/04/18 12:47:26] root INFO: 
+===========================================================
+==        PaddleClas is powered by PaddlePaddle !        ==
+===========================================================
+==                                                       ==
+==   For more info please go to the following website.   ==
+==                                                       ==
+==       https://github.com/PaddlePaddle/PaddleClas      ==
+===========================================================
+
+[2022/04/18 12:47:26] root INFO: Arch : 
+[2022/04/18 12:47:26] root INFO:     class_num : 100
+[2022/04/18 12:47:26] root INFO:     name : ResNet50_vd
+[2022/04/18 12:47:26] root INFO: DataLoader : 
+[2022/04/18 12:47:26] root INFO:     Eval : 
+[2022/04/18 12:47:26] root INFO:         dataset : 
+[2022/04/18 12:47:26] root INFO:             cls_label_path : ./dataset/CIFAR100/test_list.txt
+[2022/04/18 12:47:26] root INFO:             image_root : ./dataset/CIFAR100/
+[2022/04/18 12:47:26] root INFO:             name : ImageNetDataset
+[2022/04/18 12:47:26] root INFO:             transform_ops : 
+[2022/04/18 12:47:26] root INFO:                 DecodeImage : 
+[2022/04/18 12:47:26] root INFO:                     channel_first : False
+[2022/04/18 12:47:26] root INFO:                     to_rgb : True
+[2022/04/18 12:47:26] root INFO:                 ResizeImage : 
+[2022/04/18 12:47:26] root INFO:                     resize_short : 36
+[2022/04/18 12:47:26] root INFO:                 CropImage : 
+[2022/04/18 12:47:26] root INFO:                     size : 32
+[2022/04/18 12:47:26] root INFO:                 NormalizeImage : 
+[2022/04/18 12:47:26] root INFO:                     mean : [0.485, 0.456, 0.406]
+[2022/04/18 12:47:26] root INFO:                     order : 
+[2022/04/18 12:47:26] root INFO:                     scale : 1.0/255.0
+[2022/04/18 12:47:26] root INFO:                     std : [0.229, 0.224, 0.225]
+[2022/04/18 12:47:26] root INFO:         loader : 
+[2022/04/18 12:47:26] root INFO:             num_workers : 4
+[2022/04/18 12:47:26] root INFO:             use_shared_memory : True
+[2022/04/18 12:47:26] root INFO:         sampler : 
+[2022/04/18 12:47:26] root INFO:             batch_size : 64
+[2022/04/18 12:47:26] root INFO:             drop_last : False
+[2022/04/18 12:47:26] root INFO:             name : DistributedBatchSampler
+[2022/04/18 12:47:26] root INFO:             shuffle : False
+[2022/04/18 12:47:26] root INFO:     Train : 
+[2022/04/18 12:47:26] root INFO:         dataset : 
+[2022/04/18 12:47:26] root INFO:             cls_label_path : ./dataset/CIFAR100/train_list.txt
+[2022/04/18 12:47:26] root INFO:             image_root : ./dataset/CIFAR100/
+[2022/04/18 12:47:26] root INFO:             name : ImageNetDataset
+[2022/04/18 12:47:26] root INFO:             transform_ops : 
+[2022/04/18 12:47:26] root INFO:                 DecodeImage : 
+[2022/04/18 12:47:26] root INFO:                     channel_first : False
+[2022/04/18 12:47:26] root INFO:                     to_rgb : True
+[2022/04/18 12:47:26] root INFO:                 RandCropImage : 
+[2022/04/18 12:47:26] root INFO:                     size : 32
+[2022/04/18 12:47:26] root INFO:                 RandFlipImage : 
+[2022/04/18 12:47:26] root INFO:                     flip_code : 1
+[2022/04/18 12:47:26] root INFO:                 NormalizeImage : 
+[2022/04/18 12:47:26] root INFO:                     mean : [0.485, 0.456, 0.406]
+[2022/04/18 12:47:26] root INFO:                     order : 
+[2022/04/18 12:47:26] root INFO:                     scale : 1.0/255.0
+[2022/04/18 12:47:26] root INFO:                     std : [0.229, 0.224, 0.225]
+[2022/04/18 12:47:26] root INFO:         loader : 
+[2022/04/18 12:47:26] root INFO:             num_workers : 4
+[2022/04/18 12:47:26] root INFO:             use_shared_memory : True
+[2022/04/18 12:47:26] root INFO:         sampler : 
+[2022/04/18 12:47:26] root INFO:             batch_size : 64
+[2022/04/18 12:47:26] root INFO:             drop_last : False
+[2022/04/18 12:47:26] root INFO:             name : DistributedBatchSampler
+[2022/04/18 12:47:26] root INFO:             shuffle : True
+[2022/04/18 12:47:26] root INFO: Global : 
+[2022/04/18 12:47:26] root INFO:     checkpoints : None
+[2022/04/18 12:47:26] root INFO:     device : gpu
+[2022/04/18 12:47:26] root INFO:     epochs : 100
+[2022/04/18 12:47:26] root INFO:     eval_during_train : True
+[2022/04/18 12:47:26] root INFO:     eval_interval : 1
+[2022/04/18 12:47:26] root INFO:     image_shape : [3, 32, 32]
+[2022/04/18 12:47:26] root INFO:     output_dir : output_CIFAR
+[2022/04/18 12:47:26] root INFO:     pretrained_model : None
+[2022/04/18 12:47:26] root INFO:     print_batch_step : 10
+[2022/04/18 12:47:26] root INFO:     save_inference_dir : ./inference
+[2022/04/18 12:47:26] root INFO:     save_interval : 1
+[2022/04/18 12:47:26] root INFO:     use_gpu : False
+[2022/04/18 12:47:26] root INFO:     use_visualdl : False
+[2022/04/18 12:47:26] root INFO: Infer : 
+[2022/04/18 12:47:26] root INFO:     PostProcess : 
+[2022/04/18 12:47:26] root INFO:         name : Topk
+[2022/04/18 12:47:26] root INFO:         topk : 5
+[2022/04/18 12:47:26] root INFO:     batch_size : 10
+[2022/04/18 12:47:26] root INFO:     infer_imgs : docs/images/inference_deployment/whl_demo.jpg
+[2022/04/18 12:47:26] root INFO:     transforms : 
+[2022/04/18 12:47:26] root INFO:         DecodeImage : 
+[2022/04/18 12:47:26] root INFO:             channel_first : False
+[2022/04/18 12:47:26] root INFO:             to_rgb : True
+[2022/04/18 12:47:26] root INFO:         ResizeImage : 
+[2022/04/18 12:47:26] root INFO:             resize_short : 36
+[2022/04/18 12:47:26] root INFO:         CropImage : 
+[2022/04/18 12:47:26] root INFO:             size : 32
+[2022/04/18 12:47:26] root INFO:         NormalizeImage : 
+[2022/04/18 12:47:26] root INFO:             mean : [0.485, 0.456, 0.406]
+[2022/04/18 12:47:26] root INFO:             order : 
+[2022/04/18 12:47:26] root INFO:             scale : 1.0/255.0
+[2022/04/18 12:47:26] root INFO:             std : [0.229, 0.224, 0.225]
+[2022/04/18 12:47:26] root INFO:         ToCHWImage : None
+[2022/04/18 12:47:26] root INFO: Loss : 
+[2022/04/18 12:47:26] root INFO:     Eval : 
+[2022/04/18 12:47:26] root INFO:         CELoss : 
+[2022/04/18 12:47:26] root INFO:             weight : 1.0
+[2022/04/18 12:47:26] root INFO:     Train : 
+[2022/04/18 12:47:26] root INFO:         CELoss : 
+[2022/04/18 12:47:26] root INFO:             weight : 1.0
+[2022/04/18 12:47:26] root INFO: Metric : 
+[2022/04/18 12:47:26] root INFO:     Eval : 
+[2022/04/18 12:47:26] root INFO:         TopkAcc : 
+[2022/04/18 12:47:26] root INFO:             topk : [1, 5]
+[2022/04/18 12:47:26] root INFO:     Train : 
+[2022/04/18 12:47:26] root INFO:         TopkAcc : 
+[2022/04/18 12:47:26] root INFO:             topk : [1, 5]
+[2022/04/18 12:47:26] root INFO: Optimizer : 
+[2022/04/18 12:47:26] root INFO:     lr : 
+[2022/04/18 12:47:26] root INFO:         learning_rate : 0.04
+[2022/04/18 12:47:26] root INFO:         name : Cosine
+[2022/04/18 12:47:26] root INFO:     momentum : 0.9
+[2022/04/18 12:47:26] root INFO:     name : Momentum
+[2022/04/18 12:47:26] root INFO:     regularizer : 
+[2022/04/18 12:47:26] root INFO:         coeff : 0.0001
+[2022/04/18 12:47:26] root INFO:         name : L2
+[2022/04/18 12:47:26] root INFO: profiler_options : None
+[2022/04/18 12:49:17] root INFO: 
+===========================================================
+==        PaddleClas is powered by PaddlePaddle !        ==
+===========================================================
+==                                                       ==
+==   For more info please go to the following website.   ==
+==                                                       ==
+==       https://github.com/PaddlePaddle/PaddleClas      ==
+===========================================================
+
+[2022/04/18 12:49:17] root INFO: Arch : 
+[2022/04/18 12:49:17] root INFO:     class_num : 100
+[2022/04/18 12:49:17] root INFO:     name : ResNet50_vd
+[2022/04/18 12:49:17] root INFO: DataLoader : 
+[2022/04/18 12:49:17] root INFO:     Eval : 
+[2022/04/18 12:49:17] root INFO:         dataset : 
+[2022/04/18 12:49:17] root INFO:             cls_label_path : ./dataset/CIFAR100/test_list.txt
+[2022/04/18 12:49:17] root INFO:             image_root : ./dataset/CIFAR100/
+[2022/04/18 12:49:17] root INFO:             name : ImageNetDataset
+[2022/04/18 12:49:17] root INFO:             transform_ops : 
+[2022/04/18 12:49:17] root INFO:                 DecodeImage : 
+[2022/04/18 12:49:17] root INFO:                     channel_first : False
+[2022/04/18 12:49:17] root INFO:                     to_rgb : True
+[2022/04/18 12:49:17] root INFO:                 ResizeImage : 
+[2022/04/18 12:49:17] root INFO:                     resize_short : 36
+[2022/04/18 12:49:17] root INFO:                 CropImage : 
+[2022/04/18 12:49:17] root INFO:                     size : 32
+[2022/04/18 12:49:17] root INFO:                 NormalizeImage : 
+[2022/04/18 12:49:17] root INFO:                     mean : [0.485, 0.456, 0.406]
+[2022/04/18 12:49:17] root INFO:                     order : 
+[2022/04/18 12:49:17] root INFO:                     scale : 1.0/255.0
+[2022/04/18 12:49:17] root INFO:                     std : [0.229, 0.224, 0.225]
+[2022/04/18 12:49:17] root INFO:         loader : 
+[2022/04/18 12:49:17] root INFO:             num_workers : 4
+[2022/04/18 12:49:17] root INFO:             use_shared_memory : True
+[2022/04/18 12:49:17] root INFO:         sampler : 
+[2022/04/18 12:49:17] root INFO:             batch_size : 64
+[2022/04/18 12:49:17] root INFO:             drop_last : False
+[2022/04/18 12:49:17] root INFO:             name : DistributedBatchSampler
+[2022/04/18 12:49:17] root INFO:             shuffle : False
+[2022/04/18 12:49:17] root INFO:     Train : 
+[2022/04/18 12:49:17] root INFO:         dataset : 
+[2022/04/18 12:49:17] root INFO:             cls_label_path : ./dataset/CIFAR100/train_list.txt
+[2022/04/18 12:49:17] root INFO:             image_root : ./dataset/CIFAR100/
+[2022/04/18 12:49:17] root INFO:             name : ImageNetDataset
+[2022/04/18 12:49:17] root INFO:             transform_ops : 
+[2022/04/18 12:49:17] root INFO:                 DecodeImage : 
+[2022/04/18 12:49:17] root INFO:                     channel_first : False
+[2022/04/18 12:49:17] root INFO:                     to_rgb : True
+[2022/04/18 12:49:17] root INFO:                 RandCropImage : 
+[2022/04/18 12:49:17] root INFO:                     size : 32
+[2022/04/18 12:49:17] root INFO:                 RandFlipImage : 
+[2022/04/18 12:49:17] root INFO:                     flip_code : 1
+[2022/04/18 12:49:17] root INFO:                 NormalizeImage : 
+[2022/04/18 12:49:17] root INFO:                     mean : [0.485, 0.456, 0.406]
+[2022/04/18 12:49:17] root INFO:                     order : 
+[2022/04/18 12:49:17] root INFO:                     scale : 1.0/255.0
+[2022/04/18 12:49:17] root INFO:                     std : [0.229, 0.224, 0.225]
+[2022/04/18 12:49:17] root INFO:         loader : 
+[2022/04/18 12:49:17] root INFO:             num_workers : 4
+[2022/04/18 12:49:17] root INFO:             use_shared_memory : True
+[2022/04/18 12:49:18] root INFO:         sampler : 
+[2022/04/18 12:49:18] root INFO:             batch_size : 64
+[2022/04/18 12:49:18] root INFO:             drop_last : False
+[2022/04/18 12:49:18] root INFO:             name : DistributedBatchSampler
+[2022/04/18 12:49:18] root INFO:             shuffle : True
+[2022/04/18 12:49:18] root INFO: Global : 
+[2022/04/18 12:49:18] root INFO:     checkpoints : None
+[2022/04/18 12:49:18] root INFO:     device : cpu
+[2022/04/18 12:49:18] root INFO:     epochs : 100
+[2022/04/18 12:49:18] root INFO:     eval_during_train : True
+[2022/04/18 12:49:18] root INFO:     eval_interval : 1
+[2022/04/18 12:49:18] root INFO:     image_shape : [3, 32, 32]
+[2022/04/18 12:49:18] root INFO:     output_dir : output_CIFAR
+[2022/04/18 12:49:18] root INFO:     pretrained_model : None
+[2022/04/18 12:49:18] root INFO:     print_batch_step : 10
+[2022/04/18 12:49:18] root INFO:     save_inference_dir : ./inference
+[2022/04/18 12:49:18] root INFO:     save_interval : 1
+[2022/04/18 12:49:18] root INFO:     use_visualdl : False
+[2022/04/18 12:49:18] root INFO: Infer : 
+[2022/04/18 12:49:18] root INFO:     PostProcess : 
+[2022/04/18 12:49:18] root INFO:         name : Topk
+[2022/04/18 12:49:18] root INFO:         topk : 5
+[2022/04/18 12:49:18] root INFO:     batch_size : 10
+[2022/04/18 12:49:18] root INFO:     infer_imgs : docs/images/inference_deployment/whl_demo.jpg
+[2022/04/18 12:49:18] root INFO:     transforms : 
+[2022/04/18 12:49:18] root INFO:         DecodeImage : 
+[2022/04/18 12:49:18] root INFO:             channel_first : False
+[2022/04/18 12:49:18] root INFO:             to_rgb : True
+[2022/04/18 12:49:18] root INFO:         ResizeImage : 
+[2022/04/18 12:49:18] root INFO:             resize_short : 36
+[2022/04/18 12:49:18] root INFO:         CropImage : 
+[2022/04/18 12:49:18] root INFO:             size : 32
+[2022/04/18 12:49:18] root INFO:         NormalizeImage : 
+[2022/04/18 12:49:18] root INFO:             mean : [0.485, 0.456, 0.406]
+[2022/04/18 12:49:18] root INFO:             order : 
+[2022/04/18 12:49:18] root INFO:             scale : 1.0/255.0
+[2022/04/18 12:49:18] root INFO:             std : [0.229, 0.224, 0.225]
+[2022/04/18 12:49:18] root INFO:         ToCHWImage : None
+[2022/04/18 12:49:18] root INFO: Loss : 
+[2022/04/18 12:49:18] root INFO:     Eval : 
+[2022/04/18 12:49:18] root INFO:         CELoss : 
+[2022/04/18 12:49:18] root INFO:             weight : 1.0
+[2022/04/18 12:49:18] root INFO:     Train : 
+[2022/04/18 12:49:18] root INFO:         CELoss : 
+[2022/04/18 12:49:18] root INFO:             weight : 1.0
+[2022/04/18 12:49:18] root INFO: Metric : 
+[2022/04/18 12:49:18] root INFO:     Eval : 
+[2022/04/18 12:49:18] root INFO:         TopkAcc : 
+[2022/04/18 12:49:18] root INFO:             topk : [1, 5]
+[2022/04/18 12:49:18] root INFO:     Train : 
+[2022/04/18 12:49:18] root INFO:         TopkAcc : 
+[2022/04/18 12:49:18] root INFO:             topk : [1, 5]
+[2022/04/18 12:49:18] root INFO: Optimizer : 
+[2022/04/18 12:49:18] root INFO:     lr : 
+[2022/04/18 12:49:18] root INFO:         learning_rate : 0.04
+[2022/04/18 12:49:18] root INFO:         name : Cosine
+[2022/04/18 12:49:18] root INFO:     momentum : 0.9
+[2022/04/18 12:49:18] root INFO:     name : Momentum
+[2022/04/18 12:49:18] root INFO:     regularizer : 
+[2022/04/18 12:49:18] root INFO:         coeff : 0.0001
+[2022/04/18 12:49:18] root INFO:         name : L2
+[2022/04/18 12:49:18] root INFO: profiler_options : None
+[2022/04/18 12:49:18] root INFO: train with paddle 2.2.2 and device CPUPlace
+[2022/04/18 12:49:26] root WARNING: The training strategy in config files provided by PaddleClas is based on 4 gpus. But the number of gpus is 1 in current training. Please modify the stategy (learning rate, batch size and so on) if use config files in PaddleClas to train.
+[2022/04/18 12:49:28] root INFO: [Train][Epoch 1/100][Iter: 0/782]lr: 0.04000, top1: 0.00000, top5: 0.00000, CELoss: 5.06183, loss: 5.06183, batch_cost: 2.00989s, reader_cost: 0.05953, ips: 31.84257 images/sec, eta: 1 day, 19:39:33
+[2022/04/18 12:49:45] root INFO: [Train][Epoch 1/100][Iter: 10/782]lr: 0.04000, top1: 0.00568, top5: 0.04261, CELoss: 8.25212, loss: 8.25212, batch_cost: 1.73383s, reader_cost: 0.00000, ips: 36.91248 images/sec, eta: 1 day, 13:39:28
+[2022/04/18 12:50:44] root INFO: 
+===========================================================
+==        PaddleClas is powered by PaddlePaddle !        ==
+===========================================================
+==                                                       ==
+==   For more info please go to the following website.   ==
+==                                                       ==
+==       https://github.com/PaddlePaddle/PaddleClas      ==
+===========================================================
+
+[2022/04/18 12:50:44] root INFO: Arch : 
+[2022/04/18 12:50:44] root INFO:     class_num : 100
+[2022/04/18 12:50:44] root INFO:     name : ResNet50_vd
+[2022/04/18 12:50:44] root INFO: DataLoader : 
+[2022/04/18 12:50:44] root INFO:     Eval : 
+[2022/04/18 12:50:44] root INFO:         dataset : 
+[2022/04/18 12:50:44] root INFO:             cls_label_path : ./dataset/CIFAR100/test_list.txt
+[2022/04/18 12:50:44] root INFO:             image_root : ./dataset/CIFAR100/
+[2022/04/18 12:50:44] root INFO:             name : ImageNetDataset
+[2022/04/18 12:50:44] root INFO:             transform_ops : 
+[2022/04/18 12:50:44] root INFO:                 DecodeImage : 
+[2022/04/18 12:50:44] root INFO:                     channel_first : False
+[2022/04/18 12:50:44] root INFO:                     to_rgb : True
+[2022/04/18 12:50:44] root INFO:                 ResizeImage : 
+[2022/04/18 12:50:44] root INFO:                     resize_short : 36
+[2022/04/18 12:50:44] root INFO:                 CropImage : 
+[2022/04/18 12:50:44] root INFO:                     size : 32
+[2022/04/18 12:50:44] root INFO:                 NormalizeImage : 
+[2022/04/18 12:50:44] root INFO:                     mean : [0.485, 0.456, 0.406]
+[2022/04/18 12:50:44] root INFO:                     order : 
+[2022/04/18 12:50:44] root INFO:                     scale : 1.0/255.0
+[2022/04/18 12:50:44] root INFO:                     std : [0.229, 0.224, 0.225]
+[2022/04/18 12:50:44] root INFO:         loader : 
+[2022/04/18 12:50:44] root INFO:             num_workers : 4
+[2022/04/18 12:50:44] root INFO:             use_shared_memory : True
+[2022/04/18 12:50:44] root INFO:         sampler : 
+[2022/04/18 12:50:44] root INFO:             batch_size : 64
+[2022/04/18 12:50:44] root INFO:             drop_last : False
+[2022/04/18 12:50:44] root INFO:             name : DistributedBatchSampler
+[2022/04/18 12:50:44] root INFO:             shuffle : False
+[2022/04/18 12:50:44] root INFO:     Train : 
+[2022/04/18 12:50:44] root INFO:         dataset : 
+[2022/04/18 12:50:44] root INFO:             cls_label_path : ./dataset/CIFAR100/train_list.txt
+[2022/04/18 12:50:44] root INFO:             image_root : ./dataset/CIFAR100/
+[2022/04/18 12:50:44] root INFO:             name : ImageNetDataset
+[2022/04/18 12:50:44] root INFO:             transform_ops : 
+[2022/04/18 12:50:44] root INFO:                 DecodeImage : 
+[2022/04/18 12:50:44] root INFO:                     channel_first : False
+[2022/04/18 12:50:44] root INFO:                     to_rgb : True
+[2022/04/18 12:50:44] root INFO:                 RandCropImage : 
+[2022/04/18 12:50:44] root INFO:                     size : 32
+[2022/04/18 12:50:44] root INFO:                 RandFlipImage : 
+[2022/04/18 12:50:44] root INFO:                     flip_code : 1
+[2022/04/18 12:50:44] root INFO:                 NormalizeImage : 
+[2022/04/18 12:50:44] root INFO:                     mean : [0.485, 0.456, 0.406]
+[2022/04/18 12:50:44] root INFO:                     order : 
+[2022/04/18 12:50:44] root INFO:                     scale : 1.0/255.0
+[2022/04/18 12:50:44] root INFO:                     std : [0.229, 0.224, 0.225]
+[2022/04/18 12:50:44] root INFO:         loader : 
+[2022/04/18 12:50:44] root INFO:             num_workers : 4
+[2022/04/18 12:50:44] root INFO:             use_shared_memory : True
+[2022/04/18 12:50:44] root INFO:         sampler : 
+[2022/04/18 12:50:44] root INFO:             batch_size : 64
+[2022/04/18 12:50:44] root INFO:             drop_last : False
+[2022/04/18 12:50:44] root INFO:             name : DistributedBatchSampler
+[2022/04/18 12:50:44] root INFO:             shuffle : True
+[2022/04/18 12:50:44] root INFO: Global : 
+[2022/04/18 12:50:44] root INFO:     checkpoints : None
+[2022/04/18 12:50:44] root INFO:     device : gpu
+[2022/04/18 12:50:44] root INFO:     epochs : 100
+[2022/04/18 12:50:44] root INFO:     eval_during_train : True
+[2022/04/18 12:50:44] root INFO:     eval_interval : 1
+[2022/04/18 12:50:44] root INFO:     image_shape : [3, 32, 32]
+[2022/04/18 12:50:44] root INFO:     output_dir : output_CIFAR
+[2022/04/18 12:50:44] root INFO:     pretrained_model : None
+[2022/04/18 12:50:44] root INFO:     print_batch_step : 10
+[2022/04/18 12:50:44] root INFO:     save_inference_dir : ./inference
+[2022/04/18 12:50:44] root INFO:     save_interval : 1
+[2022/04/18 12:50:44] root INFO:     use_visualdl : False
+[2022/04/18 12:50:44] root INFO: Infer : 
+[2022/04/18 12:50:44] root INFO:     PostProcess : 
+[2022/04/18 12:50:44] root INFO:         name : Topk
+[2022/04/18 12:50:44] root INFO:         topk : 5
+[2022/04/18 12:50:44] root INFO:     batch_size : 10
+[2022/04/18 12:50:44] root INFO:     infer_imgs : docs/images/inference_deployment/whl_demo.jpg
+[2022/04/18 12:50:44] root INFO:     transforms : 
+[2022/04/18 12:50:44] root INFO:         DecodeImage : 
+[2022/04/18 12:50:44] root INFO:             channel_first : False
+[2022/04/18 12:50:44] root INFO:             to_rgb : True
+[2022/04/18 12:50:44] root INFO:         ResizeImage : 
+[2022/04/18 12:50:44] root INFO:             resize_short : 36
+[2022/04/18 12:50:44] root INFO:         CropImage : 
+[2022/04/18 12:50:44] root INFO:             size : 32
+[2022/04/18 12:50:44] root INFO:         NormalizeImage : 
+[2022/04/18 12:50:44] root INFO:             mean : [0.485, 0.456, 0.406]
+[2022/04/18 12:50:44] root INFO:             order : 
+[2022/04/18 12:50:44] root INFO:             scale : 1.0/255.0
+[2022/04/18 12:50:44] root INFO:             std : [0.229, 0.224, 0.225]
+[2022/04/18 12:50:44] root INFO:         ToCHWImage : None
+[2022/04/18 12:50:44] root INFO: Loss : 
+[2022/04/18 12:50:44] root INFO:     Eval : 
+[2022/04/18 12:50:44] root INFO:         CELoss : 
+[2022/04/18 12:50:44] root INFO:             weight : 1.0
+[2022/04/18 12:50:44] root INFO:     Train : 
+[2022/04/18 12:50:44] root INFO:         CELoss : 
+[2022/04/18 12:50:44] root INFO:             weight : 1.0
+[2022/04/18 12:50:44] root INFO: Metric : 
+[2022/04/18 12:50:44] root INFO:     Eval : 
+[2022/04/18 12:50:44] root INFO:         TopkAcc : 
+[2022/04/18 12:50:44] root INFO:             topk : [1, 5]
+[2022/04/18 12:50:44] root INFO:     Train : 
+[2022/04/18 12:50:44] root INFO:         TopkAcc : 
+[2022/04/18 12:50:44] root INFO:             topk : [1, 5]
+[2022/04/18 12:50:44] root INFO: Optimizer : 
+[2022/04/18 12:50:44] root INFO:     lr : 
+[2022/04/18 12:50:44] root INFO:         learning_rate : 0.04
+[2022/04/18 12:50:44] root INFO:         name : Cosine
+[2022/04/18 12:50:44] root INFO:     momentum : 0.9
+[2022/04/18 12:50:44] root INFO:     name : Momentum
+[2022/04/18 12:50:44] root INFO:     regularizer : 
+[2022/04/18 12:50:44] root INFO:         coeff : 0.0001
+[2022/04/18 12:50:44] root INFO:         name : L2
+[2022/04/18 12:50:44] root INFO: profiler_options : None