Tensorflow 默认分配所有 GPU 内存，但我的新设置实际上只有 9588 MiB / 11264 MiB。我预计大约 11.000MiB 就像我的旧设置一样。
张量流信息在这里：
$ from tensorflow.python.client import device_lib
$ print(device_lib.list_local_devices())
[name: "/cpu:0"
device_type: "CPU"
memory_limit: 268435456
locality {
}
incarnation: 9709578925658430097
, name: "/gpu:0"
device_type: "GPU"
memory_limit: 9273834701
locality {
bus_id: 1
}
incarnation: 16668416364446126258
physical_device_desc: "device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:03:00.0"
, name: "/gpu:1"
device_type: "GPU"
memory_limit: 9273834701
locality {
bus_id: 1
}
incarnation: 2094938711079475130
physical_device_desc: "device: 1, name: GeForce GTX 1080 Ti, pci bus id: 0000:04:00.0"
]
nvidia-smi.exe 说：
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 385.41 Driver Version: 385.41 |
|-------------------------------+----------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
|===============================+======================+======================|
| 0 GeForce GTX 108... WDDM | 00000000:03:00.0 Off | N/A |
| 23% 35C P8 13W / 250W | 9284MiB / 11264MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
| 1 GeForce GTX 108... WDDM | 00000000:04:00.0 Off | N/A |
| 23% 38C P2 55W / 250W | 9146MiB / 11264MiB | 0% Default |
+-------------------------------+----------------------+----------------------+
+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 1280 C+G ...mmersiveControlPanel\SystemSettings.exe N/A |
| 0 1448 C ...ers\Administrator\Anaconda3\pythonw.exe N/A |
| 0 1560 C+G Insufficient Permissions N/A |
| 0 4120 C+G ...6)\Google\Chrome\Application\chrome.exe N/A |
| 0 4580 C+G C:\Windows\explorer.exe N/A |
| 0 5188 C+G ...t_cw5n1h2txyewy\ShellExperienceHost.exe N/A |
| 0 5324 C+G ...dows.Cortana_cw5n1h2txyewy\SearchUI.exe N/A |
| 1 1228 C+G Insufficient Permissions N/A |
| 1 1244 C+G Insufficient Permissions N/A |
| 1 1448 C ...ers\Administrator\Anaconda3\pythonw.exe N/A |
+-----------------------------------------------------------------------------+
我的环境是这样的：
操作系统：Windows10
库：python 3.6，keras 2.0.8，tensorflow-gpu 1.3.0，CUDA8.0 CUDNN6.0
有谁知道原因吗？
有必要使用TCC驱动程序来避免Windows保留一些VRAM。您可能正在使用 WDDM 驱动程序。
这是TCC的页面：https://docs.nvidia.com/gameworks/content/developertools/desktop/nsight/tesla_compute_cluster.htm https://docs.nvidia.com/gameworks/content/developertools/desktop/nsight/tesla_compute_cluster.htm
这是一个相关问题：如何在 Windows 10 上的单个进程中使用辅助 GPU 上 100% 的 VRAM？ https://stackoverflow.com/questions/47855185/how-can-i-use-100-of-vram-on-a-secondary-gpu-from-a-single-process-on-windows-1
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