DF_UD_416_wf_160w迭代次数_高分辨率模型
从某站购买后的外网模型，分享到论坛给大家，经过测试质量不错=============== Model Summary ===============
== ==
== Model name: DF-UD416WF_SAEHD ==
== ==
== Current iteration: 1601351 ==
== ==
==------------- Model Options -------------==
== ==
== resolution: 416 ==
== face_type: wf ==
== models_opt_on_gpu: True ==
== archi: df-ud ==
== ae_dims: 400 ==
== e_dims: 80 ==
== d_dims: 80 ==
== d_mask_dims: 26 ==
== masked_training: True ==
== eyes_mouth_prio: False ==
== uniform_yaw: False ==
== blur_out_mask: False ==
== adabelief: True ==
== lr_dropout: y ==
== random_warp: False ==
== random_hsv_power: 0.0 ==
== true_face_power: 0.0 ==
== face_style_power: 0.0 ==
== bg_style_power: 0.0 ==
== ct_mode: none ==
== clipgrad: True ==
== pretrain: False ==
== autobackup_hour: 0 ==
== write_preview_history: False ==
== target_iter: 0 ==
== random_src_flip: False ==
== random_dst_flip: False ==
== batch_size: 4 ==
== gan_power: 0.01 ==
== gan_patch_size: 60 ==
== gan_dims: 30 ==
== ==
==-------------- Running On ---------------==
== ==
== Device index: 0 ==
== Name: A100-SXM4-40GB ==
== VRAM: 37.47GB ==
== ==
=============================================
***本内容需购买可见***
谢谢楼主分享
感谢分享 512的有好的分享吗 感谢分享 启动中. 目标迭代: 2000000. 按 "Enter" 停止训练并保存进度.
Error: 2 root error(s) found.
(0) Resource exhausted: OOM when allocating tensor with shape and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.
[]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.
(1) Resource exhausted: OOM when allocating tensor with shape and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[]
Hint: If you want to see a list of allocated tensors when OOM happens, add report_tensor_allocations_upon_oom to RunOptions for current allocation info. This isn't available when running in Eager mode.
0 successful operations.
0 derived errors ignored.
我买了，为什么会报错呢？是不是假货啊？？？？楼主 3080 显卡训练不了阿 怎么回事？ 爱玛 发表于 2024-1-29 11:56
启动中. 目标迭代: 2000000. 按 "Enter" 停止训练并保存进度.
Error: 2 root error(s) found.
(0) Resour ...
== Device index: 0 ==
== Name: A100-SXM4-40GB ==
== VRAM: 37.47GB ==
你看看别人的显卡,看看自己电脑的显卡,你发的错误 包含 OOM 是因为显存不足
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