You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
{{ message }}
This repository has been archived by the owner on Jul 5, 2021. It is now read-only.
@GeorgeSeif
Thanks for your awesome repository. I am training FCDenseNet-103 on my own dataset. It is fine with Crop_height and width=512, but when I change it to 1024, it gives the following error:
ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[1,288,256,256] and type float on /job:localhost/replica:0/task:0/device:GPU:0 by allocator GPU_0_bfc
[[node FC-DenseNet103_3/denseblock3/BatchNorm_6/FusedBatchNorm (defined at D:\feasibilityAnalysis\RiversideProject\Code\Semantic-SegmentationTF\models\FC_DenseNet_Tiramisu.py:13) ]]
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.
[[node Mean_3 (defined at D:/feasibilityAnalysis/RiversideProject/Code/Semantic-SegmentationTF/train.py:102) ]]
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.
My environment:
Windows 10
Tensorflow 1.13
python3.6
GPU
Is there any clue to solve this issue?
Thanks in Advanced
The text was updated successfully, but these errors were encountered:
@GeorgeSeif
Thanks for your awesome repository. I am training FCDenseNet-103 on my own dataset. It is fine with Crop_height and width=512, but when I change it to 1024, it gives the following error:
My environment:
Windows 10
Tensorflow 1.13
python3.6
GPU
Is there any clue to solve this issue?
Thanks in Advanced
The text was updated successfully, but these errors were encountered: