158 lines
3.4 KiB
YAML
158 lines
3.4 KiB
YAML
# global configs
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Global:
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checkpoints: null
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pretrained_model: null
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output_dir: ./output/
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device: gpu
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save_interval: 1
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eval_during_train: True
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eval_interval: 1
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epochs: 600
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print_batch_step: 10
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use_visualdl: False
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# used for static mode and model export
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image_shape: [3, 224, 224]
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save_inference_dir: ./inference
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# training model under @to_static
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to_static: False
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use_dali: False
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# model architecture
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Arch:
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name: PPHGNet_small
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class_num: 1000
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# loss function config for traing/eval process
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Loss:
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Train:
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- CELoss:
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weight: 1.0
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epsilon: 0.1
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Eval:
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- CELoss:
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weight: 1.0
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Optimizer:
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name: Momentum
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momentum: 0.9
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lr:
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name: Cosine
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learning_rate: 0.5
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warmup_epoch: 5
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regularizer:
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name: 'L2'
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coeff: 0.00004
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# data loader for train and eval
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DataLoader:
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Train:
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dataset:
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name: ImageNetDataset
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image_root: ./dataset/ILSVRC2012/
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cls_label_path: ./dataset/ILSVRC2012/train_list.txt
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transform_ops:
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- DecodeImage:
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to_rgb: True
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channel_first: False
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- RandCropImage:
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size: 224
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interpolation: bicubic
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backend: pil
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- RandFlipImage:
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flip_code: 1
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- TimmAutoAugment:
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config_str: rand-m7-mstd0.5-inc1
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interpolation: bicubic
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img_size: 224
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- NormalizeImage:
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scale: 1.0/255.0
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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order: ''
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- RandomErasing:
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EPSILON: 0.25
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sl: 0.02
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sh: 1.0/3.0
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r1: 0.3
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attempt: 10
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use_log_aspect: True
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mode: pixel
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batch_transform_ops:
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- OpSampler:
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MixupOperator:
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alpha: 0.2
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prob: 0.5
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CutmixOperator:
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alpha: 1.0
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prob: 0.5
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sampler:
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name: DistributedBatchSampler
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batch_size: 128
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drop_last: False
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shuffle: True
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loader:
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num_workers: 16
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use_shared_memory: True
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Eval:
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dataset:
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name: ImageNetDataset
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image_root: ./dataset/ILSVRC2012/
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cls_label_path: ./dataset/ILSVRC2012/val_list.txt
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transform_ops:
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- DecodeImage:
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to_rgb: True
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channel_first: False
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- ResizeImage:
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resize_short: 236
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interpolation: bicubic
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backend: pil
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- CropImage:
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size: 224
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- NormalizeImage:
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scale: 1.0/255.0
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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order: ''
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sampler:
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name: DistributedBatchSampler
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batch_size: 128
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drop_last: False
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shuffle: False
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loader:
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num_workers: 16
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use_shared_memory: True
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Infer:
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infer_imgs: docs/images/inference_deployment/whl_demo.jpg
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batch_size: 10
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transforms:
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- DecodeImage:
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to_rgb: True
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channel_first: False
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- ResizeImage:
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resize_short: 236
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- CropImage:
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size: 224
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- NormalizeImage:
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scale: 1.0/255.0
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mean: [0.485, 0.456, 0.406]
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std: [0.229, 0.224, 0.225]
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order: ''
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- ToCHWImage:
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PostProcess:
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name: Topk
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topk: 5
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class_id_map_file: ppcls/utils/imagenet1k_label_list.txt
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Metric:
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Train:
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- TopkAcc:
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topk: [1, 5]
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Eval:
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- TopkAcc:
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topk: [1, 5]
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