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wangziyang 3 years ago
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src/PaddleClas/output_CIFAR/ResNet50_vd/train.log
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[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
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