安装TensorFlow在Windows上泊坞窗工具安装Tensorflow，我得到这个错误无法在码头工人的Windows
docker: An error occurred trying to connect: Post http://%2F%2F.%2Fpipe%2Fdocker_engine/v1.23/containers/create: open //./pipe/docker_engine: The system cannot find the file specified..
See 'docker run --help'.
如何解决这个问题？
我按照步骤this github问题。
[email protected] MINGW64 ~
$ docker ps
An error occurred trying to connect: Get http://%2F%2F.%2Fpipe%2Fdocker_engine/v1.23/containers/json: open //./pipe/docker_engine: The system cannot find the file specified.
[email protected] MINGW64 ~
$ docker-machine env default
Error checking TLS connection: Error checking and/or regenerating the certs: There was an error validating certificates for host "192.168.99.100:2376": tls: DialWithDialer timed out
You can attempt to regenerate them using 'docker-machine regenerate-certs [name]'.
Be advised that this will trigger a Docker daemon restart which will stop running containers.
[email protected] MINGW64 ~
$ docker-machine regenerate-certs
Regenerate TLS machine certs? Warning: this is irreversible. (y/n): y
Regenerating TLS certificates
Waiting for SSH to be available...
Detecting the provisioner...
Copying certs to the local machine directory...
Copying certs to the remote machine...
Setting Docker configuration on the remote daemon...
[email protected] MINGW64 ~
$ docker ps
An error occurred trying to connect: Get http://%2F%2F.%2Fpipe%2Fdocker_engine/v1.23/containers/json: open //./pipe/docker_engine: The system cannot find the file specified.
[email protected] MINGW64 ~
$ docker-machine env default
export DOCKER_TLS_VERIFY="1"
export DOCKER_HOST="tcp://192.168.99.100:2376"
export DOCKER_CERT_PATH="C:\Users\Maksym\.docker\machine\machines\default"
export DOCKER_MACHINE_NAME="default"
# Run this command to configure your shell:
# eval $("C:\Program Files\Docker Toolbox\docker-machine.exe" env default)
[email protected] MINGW64 ~
$ eval $("C:\Program Files\Docker Toolbox\docker-machine.exe" env default)
[email protected] MINGW64 ~
$ docker ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
然后，您可以运行
docker run -it -p 8888:8888 gcr.io/tensorflow/tensorflow