71 lines
1.6 KiB
Bash
71 lines
1.6 KiB
Bash
data="NIV"
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horizon=4
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attn="WithAttention"
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checkpoint_diff="save_max/ablation_no_mask/$data/T$horizon""_act_epoch0125.pth.tar"
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if [ $data = "crosstask" ]
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then
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action_dim=105
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class_dim=18
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act_emb="dataset/crosstask/act_lang_emb.pkl"
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diffusion_step=200
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train_step=200
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json_train="dataset/crosstask/crosstask_release/train_split_T$horizon.json"
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json_val="dataset/crosstask/crosstask_release/crosstask_mlp_T$horizon.json"
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epoch=120
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lr=5e-4
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fi
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if [ $data = "coin" ]
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then
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action_dim=778
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class_dim=180
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act_emb="dataset/coin/steps_info.pickle"
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diffusion_step=200
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train_step=200
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json_train="dataset/coin/train_split_T$horizon.json"
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json_val="dataset/coin/coin_mlp_T$horizon.json"
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epoch=800
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lr=1e-5
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fi
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if [ $data = "NIV" ]
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then
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action_dim=48
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class_dim=5
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act_emb="dataset/NIV/niv_act_embeddings.pickle"
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diffusion_step=50
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train_step=50
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json_train="dataset/NIV/train_split_T$horizon.json"
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json_val="dataset/NIV/NIV_mlp_T$horizon.json"
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epoch=130
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if [ $horizon -eq 3 ]
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then
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lr=1e-4
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fi
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if [ $horizon -eq 4 ]
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then
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lr=3e-4
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fi
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fi
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python3 inference_no_mask.py \
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--multiprocessing-distributed \
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--num_thread_reader=8 \
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--cudnn_benchmark=1 \
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--pin_memory \
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--checkpoint_dir=whl \
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--resume \
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--batch_size=256 \
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--batch_size_val=256 \
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--evaluate > ${data}_T${horizon}_no_mask_output.txt \
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--checkpoint_diff ${checkpoint_diff} \
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--dataset ${data} \
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--horizon ${horizon} \
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--attn ${attn} \
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--act_emb_path ${act_emb} \
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--action_dim ${action_dim} \
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--class_dim ${class_dim} \
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--n_diffusion_steps ${diffusion_step} \
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--n_train_steps ${train_step} \
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--json_path_train ${json_train} \
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--json_path_val ${json_val} \
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--epochs ${epoch} \
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--lr ${lr} \
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--use_cls_mask True
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