Create args.yaml
Browse files
args.yaml
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add_wrapped_dataloader: false
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add_wrapped_schedulefree: false
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amp: false
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amp_dtype: float16
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amp_impl: native
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batch_size: 16
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channels_last: false
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checkpoint_hist: 10
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cl_lambda: 0.1
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class_map: ''
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clip_grad: null
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clip_mode: norm
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crop_pct: null
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data: train_skeleton.py
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data_dir: /gpfs/data/tserre/npant1/ILSVRC/
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dataset: torch/imagenet
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dataset_download: false
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decay_epochs: 30.0
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decay_rate: 0.1
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device: cuda
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device_modules: null
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epoch_repeats: 0.0
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epochs: 90
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experiment: ip_3_hmax_v3_adj_gpu_8_cl_0.1_ip_3_322_322_18432_c1[_6,3,1_]_bypass
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fast_norm: false
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fuser: ''
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gp: null
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grad_accum_steps: 1
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grad_checkpointing: false
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head_init_bias: null
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head_init_scale: null
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hflip: 0.5
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img_size: null
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in_chans: null
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initial_checkpoint: ''
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input_img_mode: null
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input_key: null
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input_size:
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- 3
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- 322
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- 322
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interpolation: ''
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layer_decay: null
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local_rank: 0
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log_interval: 50
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lr: 0.01
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lr_cycle_decay: 0.1
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mean: null
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model: hmax_v3_adj
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model_kwargs:
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bypass: true
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classifier_input_size: 18432
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ip_scale_bands: 3
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momentum: 0.9
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no_aug: false
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no_ddp_bb: false
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no_prefetcher: false
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no_resume_opt: false
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num_classes: null
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opt: sgd
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opt_betas: null
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opt_eps: null
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opt_kwargs: {}
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output: /oscar/data/tserre/xyu110/pytorch-output/train/5
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pretrained: false
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pretrained_path: null
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resume: ''
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scale:
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- 1.0
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- 1.0
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sched: step
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seed: 42
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start_epoch: null
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std: null
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synchronize_step: false
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target_key: null
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train_crop_mode: rrc
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train_num_samples: null
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train_split: train
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use_multi_epochs_loader: false
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val_num_samples: null
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val_split: validation
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validation_batch_size: null
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warmup_epochs: 0
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warmup_lr: 1.0e-05
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weight_decay: 0.0005
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worker_seeding: all
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workers: 8
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