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Hi,
Branch py3 working fine on my PC, I use ubuntu18.04, py3.5 and tensorflow 1.10 with singal video card Nvidia 1070.
I see my GPU usage is around 30% while most video card memory been occupied during training. I'd like to see if there's room to improve the performance so goto tensorboard.
But the device is unknown when I check it in tensorboard->graph, also could not see compute time.
Could you pls kindly let me know if any tip to fix it ?
Thanks a lot.
The text was updated successfully, but these errors were encountered:
btw, if use tfdbg, I can see -
"WARNING:tensorflow:Failed to load partition graphs for device /job:localhost/replica:0/task:0/device:CPU:0 from disk. As a fallback, the client graphs will be used. This may cause mismatches in device names."
Hi,
Branch py3 working fine on my PC, I use ubuntu18.04, py3.5 and tensorflow 1.10 with singal video card Nvidia 1070.
I see my GPU usage is around 30% while most video card memory been occupied during training. I'd like to see if there's room to improve the performance so goto tensorboard.
But the device is unknown when I check it in tensorboard->graph, also could not see compute time.
Could you pls kindly let me know if any tip to fix it ?
Thanks a lot.
The text was updated successfully, but these errors were encountered: