Open shanyun123456 opened 3 years ago
What is the memory size of the GPU you are using?
On Thu, Oct 14, 2021, 1:52 PM shanyun123456 @.***> wrote:
Description
Hi, @soumyadeepdey https://github.com/soumyadeepdey When I use your code to train a model in gpu, it seems always occer the problem of OOM. The batchsize is 1, other parameters haven't changed. Please check it,thanks In which platform does it happen? linux gpu How do we replicate the issue? You can use the command python3 sample_train.py, you can replicate the issue. Expected behavior (i.e. solution) Other Comment
[image: 截屏2021-10-14 下午2 18 37] https://user-images.githubusercontent.com/88327139/137262946-737e0f53-b5f6-44b7-832b-0952a573c60a.png s
[image: 截屏2021-10-14 下午2 19 49] https://user-images.githubusercontent.com/88327139/137262993-ca07462d-b265-4146-a7aa-65ecfea1972b.png
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Hi, the memory size of my gpu is about 29g It's V100 gpu
Hello, I also used the same gpu, but never faced OOM error.
However, you can add these two lines to your code to reduce the memory footprint.
os.environ["CUDA_VISIBLE_DEVICES"]='0' gpu_devices = tf.config.experimental.list_physical_devices('GPU') tf.config.experimental.set_memory_growth(gpu_devices[0], True)
Thanks Soumyadeep
On Sat, Oct 16, 2021 at 7:35 PM shanyun123456 @.***> wrote:
Hi, the memory size of my gpu is about 29g It's V100 gpu
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Thanks and Regards Soumyadeep Dey mob no : +919433715948
I also meet the issue
What is input image size and batch size you are using?
On Mon, Mar 28, 2022, 1:52 PM dongcin @.***> wrote:
I also meet the issue
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I meet the issue too
Did you try the previous solutions?
On Sun, May 5, 2024 at 12:36 PM Kdjhsa @.***> wrote:
I meet the issue too
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Thanks and Regards Soumyadeep Dey mob no : +919433715948
Description
Hi, @soumyadeepdey When I use your code to train a model in gpu, it seems always occer the problem of OOM. The batchsize is 1, other parameters haven't changed. Please check it,thanks
In which platform does it happen?
linux gpuHow do we replicate the issue?
You can use the command python3 sample_train.py, you can replicate the issue.Expected behavior (i.e. solution)
Other Comment
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