- Oct 2, 2020
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Good afternoon people!
I'm using: DeepFaceLab NVIDIA RTX 3000 series build_11_20_2021
Present in this option: 6) train SAEHD.bat
Can you help me.
My video card is RTX 4070 Ti Super 16Gb
Error:
Initializing models: 20%|############6 | 1/5 [00:10<00:40, 10.24s/it]
Error: OOM when allocating tensor with shape[2654208,1024] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node inter_AB/dense1/weight/Initializer/random_uniform/RandomUniform (defined at D:\Fake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\core\leras\layers\Dense.py:47) ]]
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.
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I'm using: DeepFaceLab NVIDIA RTX 3000 series build_11_20_2021
Present in this option: 6) train SAEHD.bat
Can you help me.
My video card is RTX 4070 Ti Super 16Gb
Error:
Initializing models: 20%|############6 | 1/5 [00:10<00:40, 10.24s/it]
Error: OOM when allocating tensor with shape[2654208,1024] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node inter_AB/dense1/weight/Initializer/random_uniform/RandomUniform (defined at D:\Fake\DeepFaceLab_NVIDIA_RTX3000_series\_internal\DeepFaceLab\core\leras\layers\Dense.py:47) ]]
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.
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