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Comments (5)

Matt711 avatar Matt711 commented on August 16, 2024

Hey @Hakan439, thanks for raising this issue! Could you tell me the output of running nvidia-smi in your terminal?

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Hakan439 avatar Hakan439 commented on August 16, 2024

Hi,
here it is:
image

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galipremsagar avatar galipremsagar commented on August 16, 2024

@Hakan439 Since you say the core runs on pycharm, can you confirm if terminal you are getting the error and pycharm are using the same environment?

You could run which python and share the output of terminal and pycharm.

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Hakan439 avatar Hakan439 commented on August 16, 2024

Which Python?
Screenshot_2024-06-14_17-37-13

cuda, cupy, cudf
Screenshot_2024-06-14_16-56-31

gpu enabled
Screenshot_2024-06-14_16-54-34

Sample code:
Screenshot_2024-06-14_17-25-31

results:
Screenshot_2024-06-14_17-34-34

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Hakan439 avatar Hakan439 commented on August 16, 2024

Somehow now gpu seems to be enabled but it DOES run very slow. In the sample code above, I reduced the amount of rows in dataframe to 1000 for the test. in cpu dataframe it took 0.12 seconds however in gpu, in 8 seconds. mine running as as eGPU btw I no not know whether it makes a difference or not. What am I missing?

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