我正在尝试设置tensorflow以在运行Ubuntu 20.04的WSL 2中使用GPU加速。我正在关注this tutorial，并遇到了here出现的错误。但是，当我按照那里的解决方案尝试使用sudo service docker start启动docker时，我被告知docker是无法识别的服务。但是，考虑到我可以访问帮助菜单，但我知道已经安装了docker。虽然我可以让Docker使用桌面工具，但是由于它不支持Cuda（如之前的SO帖子所述），因此它并不是很有用。它并没有真正给我错误日志或其他内容，因此请询问您是否需要更多详细信息。
编辑： 考虑到细节的不足，这里列出了我尝试都没有用的解决方案。 1 2 3
更新：我使用sudo dockerd来启动容器，并尝试运行nvidia基准容器，只是为了满足
INFO[2020-07-18T21:04:05.875283800-04:00] shim containerd-shim started address=/containerd-shim/021834ef5e5600bdf62a6a9e26dff7ffc1c76dd4ec9dadb9c1fcafb6c88b6e1b.sock debug=false pid=1960
INFO[2020-07-18T21:04:05.899420200-04:00] shim reaped id=70316df254d6b2633c743acb51a26ac2d0520f6f8e2f69b69c4e0624eaac1736
ERRO[2020-07-18T21:04:05.909710600-04:00] stream copy error: reading from a closed fifo
ERRO[2020-07-18T21:04:05.909753500-04:00] stream copy error: reading from a closed fifo
ERRO[2020-07-18T21:04:06.001006700-04:00] 70316df254d6b2633c743acb51a26ac2d0520f6f8e2f69b69c4e0624eaac1736 cleanup: failed to delete container from containerd: no such container
ERRO[2020-07-18T21:04:06.001045100-04:00] Handler for POST /v1.40/containers/70316df254d6b2633c743acb51a26ac2d0520f6f8e2f69b69c4e0624eaac1736/start returned error: OCI runtime create failed: container_linux.go:349: starting container process caused "process_linux.go:449: container init caused \"process_linux.go:432: running prestart hook 0 caused \\\"error running hook: exit status 1, stdout: , stderr: nvidia-container-cli: initialization error: driver error: failed to process request\\\\n\\\"\"": unknown
docker: Error response from daemon: OCI runtime create failed: container_linux.go:349: starting container process caused "process_linux.go:449: container init caused \"process_linux.go:432: running prestart hook 0 caused \\\"error running hook: exit status 1, stdout: , stderr: nvidia-container-cli: initialization error: driver error: failed to process request\\\\n\\\"\"": unknown.
ERRO[0000] error waiting for container: context canceled
更新2：在安装Windows Insider并使所有内容保持最新之后，我遇到了另一个错误。
Run "nbody -benchmark [-numbodies=<numBodies>]" to measure performance.
-fullscreen (run n-body simulation in fullscreen mode)
-fp64 (use double precision floating point values for simulation)
-hostmem (stores simulation data in host memory)
-benchmark (run benchmark to measure performance)
-numbodies=<N> (number of bodies (>= 1) to run in simulation)
-device=<d> (where d=0,1,2.... for the CUDA device to use)
-numdevices=<i> (where i=(number of CUDA devices > 0) to use for simulation)
-compare (compares simulation results running once on the default GPU and once on the CPU)
-cpu (run n-body simulation on the CPU)
-tipsy=<file.bin> (load a tipsy model file for simulation)
NOTE: The CUDA Samples are not meant for performance measurements. Results may vary when GPU Boost is enabled.
Error: only 0 Devices available, 1 requested. Exiting.
我有GTX 970，所以我不确定为什么没有被检测到。运行sudo lshw -C display后，确认未检测到我的图形卡。我得到了：
*-display UNCLAIMED
description: 3D controller
product: Microsoft Corporation
vendor: Microsoft Corporation
physical id: 4
bus info: pci@941e:00:00.0
version: 00
width: 32 bits
clock: 33MHz
capabilities: bus_master cap_list
configuration: latency=0