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OOM problem.

See original GitHub issue

Hello, when I run the demo using

python demo.py --input_image data/demo/demo.png

the following error occurs:

ResourceExhaustedError (see above for traceback): OOM when allocating tensor with shape[7,7,512,4096] [[Node: save/Assign_27 = Assign[T=DT_FLOAT, _class=[“loc:@fc6/weights”], use_locking=true, validate_shape=true, _device=“/job:localhost/replica:0/task:0/gpu:0”](fc6/weights, save/RestoreV2_27/_25)]]

It seems that my RAM is not large enough. I use my laptop, with 8G RAM and GeForce 940M (1G memory). What is the minimum size required?

Thanks.

Issue Analytics

State:
Created 6 years ago
Comments:8 (3 by maintainers)

Top GitHub Comments

3reactions

MarvinTeichmanncommented, Jun 7, 2017

You need more GPU memory. 2GB should be fine for inference. Training is possible with 8GB. You use the cpu version of tensorflow to run demo.py. 8GB CPU memory will be fine.

0reactions

varun19299commented, May 22, 2018

You can also cutoff GPU access to the script running train.py.

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