我正试图在带有Quadro gpu 的笔记本电脑上在Windows 10上运行tensorflow gpu
-----------------------------------------------------------------------------+
| NVIDIA-SMI 465.21 Driver Version: 465.21 CUDA Version: 11.3 |
|-------------------------------+----------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|===============================+======================+======================|
| 0 Quadro T2000 WDDM | 00000000:01:00.0 On | N/A |
| N/A 59C P0 14W / N/A | 2708MiB / 4096MiB | 0% Default |
| | | N/A |
+-------------------------------+----------------------+----------------------+
当我试图验证一切是否正常时，我发现device_lib.list_local_devices((因而失败
**RuntimeError: cudaGetDevice() failed. Status: invalid argument**
2021-01-13 11:30:14.735823: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: Quadro T2000 computeCapability: 7.5
coreClock: 1.5GHz coreCount: 16 deviceMemorySize: 4.00GiB deviceMemoryBandwidth: 104.34GiB/s
2021-01-13 11:30:14.736173: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library
cudart64_110.dll
2021-01-13 11:30:14.736376: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library
cublas64_11.dll
2021-01-13 11:30:14.736590: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library
cublasLt64_11.dll
2021-01-13 11:30:14.736801: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library
cufft64_10.dll
2021-01-13 11:30:14.737016: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library
curand64_10.dll
2021-01-13 11:30:14.737221: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library
cusolver64_10.dll
2021-01-13 11:30:14.737418: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library
cusparse64_11.dll
2021-01-13 11:30:14.737590: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library
cudnn64_8.dll
2021-01-13 11:30:14.737787: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "C:UsersD041705AppDataLocalProgramsPythonPython38libsite-packagestensorflowpythonclientdevice_lib.py", line
43, in list_local_devices
_convert(s) for s in _pywrap_device_lib.list_devices(serialized_config)
RuntimeError: cudaGetDevice() failed. Status: invalid argument
有什么线索吗？我有CUDA 11.2 python 3.8.7，我安装了tf和tf gpu 的最新软件包
刚刚解决了这个问题。我认为通用的解决方案是降低CUDA和GPU驱动程序的版本。
首先，根据最新版本，TensorFlow 2.4与Cuda 11.2或11.1不兼容，而是使用Cuda 11.0。
其次，如果您使用的是最新的GPU驱动程序，则在运行nvidia-smi时会发现CUDA版本为11.3。将GPU驱动程序降级为旧版本，461.09对我的情况有效。
- Win10 20H2
- GTX1070m
- tensorflow‘2.4.1'
nvidia smi
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 461.09 Driver Version: 461.09 CUDA Version: 11.2 |
|-------------------------------+----------------------+----------------------+
和
nvcc-V
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2020 NVIDIA Corporation
Built on Wed_Jul_22_19:09:35_Pacific_Daylight_Time_2020
Cuda compilation tools, release 11.0, V11.0.221
Build cuda_11.0_bu.relgpu_drvr445TC445_37.28845127_0
要测试Cuda是否工作，您应该使用Tensorflow进行计算，列出设备可能没有帮助。
import tensorflow as tf
tf.debugging.set_log_device_placement(True)
a = tf.constant([[1.0, 2.0, 3.0], [4.0, 5.0, 6.0]])
b = tf.constant([[1.0, 2.0], [3.0, 4.0], [5.0, 6.0]])
c = tf.matmul(a, b)
输出：
Executing op MatMul in device /job:localhost/replica:0/task:0/device:GPU:0