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Thanks for this @wuyanzhang! Can you provide us more details about your use case and which processes you are running under this context. At the moment, I see this is executed within a conda python context but nothing more.
Thanks for this @wuyanzhang! Can you provide us more details about your use case and which processes you are running under this context. At the moment, I see this is executed within a conda python context but nothing more.
hi, I appreciate your works firstly. Some similar problem happened to me when I use cvcuda.customcrop.
When I use random w and h, the GPU memory is increasing.
the GPU memory is increasing until like 2351MB (maybe more).
when i use certain value like w=1920, h=1080
the GPU memory stays low like 1000MB
My cucuda version is 0.13.0
Would you please help me? Thank you a lot.
After each inference, the GPU memory will increase by a certain amount and will not be released.



cvcuda-cu11:0.11.0b0
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