训练时加载数据killed，是不是对内存要求相当高？

[FriendChi]

root@81c1814922ec:/app# python main.py data/730-25 --workspace model/trial_730-25 -O --iters 100000 --finetune_lips --patch_size 64 --asr_model ave --preload 2
Namespace(H=450, O=True, W=450, amb_aud_loss=1, amb_dim=2, amb_eye_loss=1, asr=False, asr_model='ave', asr_play=False, asr_save_feats=False, asr_wav='', att=2, au45=False, aud='', bg_img='', bound=1, bs_area='upper', ckpt='latest', color_space='srgb', cuda_ray=True, data_range=[0, -1], density_thresh=10, density_thresh_torso=0.01, dt_gamma=0.00390625, emb=False, exp_eye=True, fbg=False, finetune_lips=True, fix_eye=-1, fovy=21.24, fp16=True, fps=50, gui=False, head_ckpt='', ind_dim=4, ind_dim_torso=8, ind_num=20000, init_lips=False, iters=100000, l=10, lambda_amb=0.0001, lr=0.01, lr_net=0.001, m=50, max_ray_batch=4096, max_spp=1, max_steps=16, min_near=0.05, num_rays=65536, num_steps=16, offset=[0, 0, 0], part=False, part2=False, patch_size=64, path='data/730-25', portrait=False, preload=2, pyramid_loss=0, r=10, radius=3.35, scale=4, seed=0, smooth_eye=False, smooth_lips=False, smooth_path=False, smooth_path_window=7, test=False, test_train=False, torso=False, torso_shrink=0.8, train_camera=False, unc_loss=1, update_extra_interval=16, upsample_steps=0, warmup_step=10000, workspace='model/trial_730-25')
[INFO] load 6569 train frames.
[INFO] load aud_features: torch.Size([7226, 1, 512])
Loading train data: 16%|█████████▋ | 1073/6569 [01:10<54:45, 1.67it/s]
Killed

我之前到百分之5就被killed，换了32g的内存到了16被killed，这个是不是要求很高的内存啊？还是说不是内存而是我的问题？

[laishujie]

改一下preload方式

[545089467]

我128g都不够，他需要的太高了