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20 hours ago •
keras-team
keras-team
About power consumption of VGG keras deep learning models
I am wondering how to calculate the power consumption (watt) and memory (MB) of deep learning model designed in keras? Can anybody help me in such as case? Thanks in advance.
Both should be possible with nvidia-smi
$ nvidia-smi
Mon Aug 5 08:33:31 2019
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 418.67 Driver Version: 418.67 CUDA Version: 10.1 |
|-------------------------------+----------------------+----------------------+
| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 108... On | 00000000:65:00.0 Off | N/A |
| 48% 80C P2 231W / 250W | 5413MiB / 11177MiB | 94% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 11610 C ...e/phmay/miniconda3/envs/py36/bin/python 2701MiB |
| 0 11852 C ...e/phmay/miniconda3/envs/py36/bin/python 2701MiB |
+-----------------------------------------------------------------------------+
I am wondering to calculate the cost (computation cost and Memory) per batch of my data on VGG. I think this idea does not work for me.
Both should be possible with
nvidia-smi$ nvidia-smi Mon Aug 5 08:33:31 2019 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 418.67 Driver Version: 418.67 CUDA Version: 10.1 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 GeForce GTX 108... On | 00000000:65:00.0 Off | N/A | | 48% 80C P2 231W / 250W | 5413MiB / 11177MiB | 94% Default | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | 0 11610 C ...e/phmay/miniconda3/envs/py36/bin/python 2701MiB | | 0 11852 C ...e/phmay/miniconda3/envs/py36/bin/python 2701MiB | +-----------------------------------------------------------------------------+