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How come there is such a huge difference?
Almost 0MB free with "nvidia smi" command while the "cutorch" command showing that there is almost 8000mb free.
The text was updated successfully, but these errors were encountered:
I have a huge difference in the available GPU memory.
When using the command: nvidia smi
| 2 Tesla V100-SXM2... On | 00000000:0A:00.0 Off | 0 |
| N/A 43C P0 70W / 300W | 16101MiB / 16160MiB | 0% Default |
When using the cutorch command: cutorch.getMemoryUsage(cutorch.getDevice())
Epoch: [1][2/5] Time 0.724 tripErr 7.65e-02
-------- exit epoch
7911792640 16945512448
-------- start epoch
7915701248 16945512448
(nTrips, nTripsFound) = (5206, 369)
Epoch: [1][3/5] Time 0.505 tripErr 8.91e-02
-------- exit epoch
7923902976 16945512448
-------- start epoch
7927670784 16945512448
(nTrips, nTripsFound) = (7141, 265)
Epoch: [1][4/5] Time 0.623 tripErr 7.40e-02
-------- exit epoch
7867307008 16945512448
-------- start epoch
7918349824 16945512448
(nTrips, nTripsFound) = (5658, 378)
Epoch: [1][5/5] Time 0.469 tripErr 7.18e-02
-------- exit epoch
7922003968 16945512448
How come there is such a huge difference?
Almost 0MB free with "nvidia smi" command while the "cutorch" command showing that there is almost 8000mb free.
The text was updated successfully, but these errors were encountered: