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发表于 2022-12-6 19:41:56
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这个模型怎么打开报错呢?辛苦给看一下吧
----------------------运行信息----------------------
设备编号: 0
设备名称: NVIDIA GeForce RTX 3080
显存大小: 7.25GB
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启动中. 按回车键停止训练并保存进度。
保存时间|迭代次数|单次时间|SRC损失|DST损失
Error: 2 root error(s) found.
(0) Resource exhausted: OOM when allocating tensor with shape[8,128,112,112] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node LeakyRelu_88 (defined at M:\YUN\2\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\models\PatchDiscriminator.py:178) ]]
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.
[[concat_17/concat/_1335]]
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[8,128,112,112] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node LeakyRelu_88 (defined at M:\YUN\2\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\models\PatchDiscriminator.py:178) ]]
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.
Errors may have originated from an input operation.
Input Source operations connected to node LeakyRelu_88:
Add_157 (defined at M:\YUN\2\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\Conv2D.py:107)
Input Source operations connected to node LeakyRelu_88:
Add_157 (defined at M:\YUN\2\DFL_maozhihanhua_RTX3000\_internal\DeepFaceLab\core\leras\layers\Conv2D.py:107)
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