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ZenML 🙏: The bridge between ML and Ops. https://zenml.io.
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[BUG]: `zenml up` with Docker not working #1531

Closed wiesbadener closed 1 year ago

wiesbadener commented 1 year ago

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System Information

Unable to find ZenML repository in your current working directory (/home/user/foo/bar) or any parent directories. If you want to use an existing repository which is in a different location, set the environment variable 'ZENML_REPOSITORY_PATH'. If you want to create a new repository, run zenml init. Running without an active repository root. ZENML_LOCAL_VERSION: 0.38.0 ZENML_SERVER_VERSION: 0.38.0 ZENML_SERVER_DATABASE: sqlite ZENML_SERVER_DEPLOYMENT_TYPE: local ZENML_CONFIG_DIR: /home/user/.config/zenml ZENML_LOCAL_STORE_DIR: /home/user/.config/zenml/local_stores ZENML_SERVER_URL: http://127.0.0.1:8237 ZENML_ACTIVE_REPOSITORY_ROOT: None PYTHON_VERSION: 3.9.16 ENVIRONMENT: native SYSTEM_INFO: {'os': 'linux', 'linux_distro': 'ubuntu', 'linux_distro_like': 'debian', 'linux_distro_version': '22.04'} ACTIVE_WORKSPACE: default ACTIVE_STACK: default ACTIVE_USER: default TELEMETRY_STATUS: enabled ANALYTICS_CLIENT_ID: e65e267b-452f-4bc0-a29a-53b9b76a26d9 ANALYTICS_USER_ID: 193c1ec4-ff4d-4dbc-9de5-11be8522f668 ANALYTICS_SERVER_ID: e65e267b-452f-4bc0-a29a-53b9b76a26d9 INTEGRATIONS: ['huggingface', 'kaniko', 'pillow', 'pytorch', 'scipy', 'sklearn'] PACKAGES: {'authlib': '1.2.0', 'deprecated': '1.2.13', 'events': '0.4', 'flask': '2.3.1', 'gitpython': '3.1.31', 'jinja2': '3.1.2', 'mako': '1.2.4', 'markdown': '3.3.7', 'markupsafe': '2.1.2', 'pillow': '9.5.0', 'pyjwt': '2.6.0', 'pymupdf': '1.22.2', 'pymysql': '1.0.3', 'pysocks': '1.7.1', 'pyyaml': '5.4.1', 'pygments': '2.15.1', 'sparqlwrapper': '2.0.0', 'sqlalchemy': '1.4.41', 'sqlalchemy-utils': '0.38.3', 'send2trash': '1.8.2', 'werkzeug': '2.3.0', 'aiohttp': '3.8.4', 'aiohttp-cors': '0.7.0', 'aiorwlock': '1.3.0', 'aiosignal': '1.3.1', 'alembic': '1.8.1', 'analytics-python': '1.4.post1', 'anyio': '3.6.2', 'appdirs': '1.4.4', 'argon2-cffi': '21.3.0', 'argon2-cffi-bindings': '21.2.0', 'arrow': '1.2.3', 'asgiref': '3.6.0', 'astroid': '2.15.4', 'asttokens': '2.2.1', 'async-generator': '1.10', 'async-timeout': '4.0.2', 'attrs': '23.1.0', 'azure-ai-formrecognizer': '3.3.0b1', 'azure-common': '1.1.28', 'azure-core': '1.26.4', 'backcall': '0.2.0', 'backoff': '1.10.0', 'backports.functools-lru-cache': '1.6.4', 'bcrypt': '4.0.1', 'beautifulsoup4': '4.12.2', 'beir': '1.0.1', 'black': '23.3.0', 'bleach': '6.0.0', 'blessed': '1.20.0', 'blinker': '1.6.2', 'boilerpy3': '1.0.6', 'cachetools': '5.3.0', 'canals': '0.0.3', 'cattrs': '22.2.0', 'certifi': '2022.12.7', 'cffi': '1.15.1', 'cfgv': '3.3.1', 'chardet': '5.1.0', 'charset-normalizer': '3.1.0', 'click': '8.1.3', 'click-params': '0.3.0', 'cloudpickle': '2.2.1', 'cmake': '3.26.3', 'colorama': '0.4.6', 'coloredlogs': '15.0.1', 'colorful': '0.5.5', 'commonmark': '0.9.1', 'contourpy': '1.0.7', 'coverage': '7.2.3', 'cryptography': '40.0.2', 'cycler': '0.11.0', 'databind': '1.5.3', 'databind.core': '1.5.3', 'databind.json': '1.5.3', 'databricks-cli': '0.17.6', 'datasets': '2.11.0', 'debugpy': '1.5.1', 'decorator': '5.1.1', 'defusedxml': '0.7.1', 'dill': '0.3.6', 'distlib': '0.3.6', 'distro': '1.8.0', 'dnspython': '2.3.0', 'docker': '6.0.1', 'docopt': '0.6.2', 'docspec': '2.1.2', 'docspec-python': '2.1.2', 'docstring-parser': '0.11', 'ecdsa': '0.18.0', 'elasticsearch': '7.9.1', 'entrypoints': '0.4', 'exceptiongroup': '1.1.1', 'executing': '1.2.0', 'faiss-cpu': '1.7.2', 'farm-haystack': '1.15.1', 'fastapi': '0.75.2', 'fastapi-utils': '0.2.1', 'fastjsonschema': '2.16.3', 'ffmpeg-python': '0.2.0', 'filelock': '3.12.0', 'flatbuffers': '23.3.3', 'fonttools': '4.39.3', 'fqdn': '1.5.1', 'frozenlist': '1.3.3', 'fsspec': '2023.4.0', 'future': '0.18.3', 'ghp-import': '2.1.0', 'gitdb': '4.0.10', 'google-api-core': '2.11.0', 'google-auth': '2.17.3', 'googleapis-common-protos': '1.59.0', 'gpustat': '1.1', 'greenlet': '2.0.2', 'grpcio': '1.37.1', 'grpcio-tools': '1.37.1', 'gunicorn': '20.1.0', 'h11': '0.14.0', 'httplib2': '0.19.1', 'httptools': '0.5.0', 'huggingface-hub': '0.14.1', 'humanfriendly': '10.0', 'identify': '2.5.23', 'idna': '3.4', 'importlib-metadata': '6.6.0', 'importlib-resources': '5.12.0', 'inflect': '6.0.4', 'iniconfig': '2.0.0', 'ipykernel': '6.15.0', 'ipython': '8.12.0', 'ipython-genutils': '0.2.0', 'ipywidgets': '7.7.5', 'isodate': '0.6.1', 'isoduration': '20.11.0', 'isort': '5.12.0', 'itsdangerous': '2.1.2', 'jarowinkler': '1.2.3', 'jedi': '0.18.2', 'joblib': '1.2.0', 'jsonpointer': '2.3', 'jsonschema': '4.17.3', 'jupyter-client': '8.2.0', 'jupyter-core': '5.3.0', 'jupyter-events': '0.6.3', 'jupyter-server': '2.5.0', 'jupyter-server-terminals': '0.4.4', 'jupytercontrib': '0.0.7', 'jupyterlab-pygments': '0.2.2', 'jupyterlab-widgets': '1.1.4', 'kiwisolver': '1.4.4', 'langdetect': '1.0.9', 'lazy-object-proxy': '1.9.0', 'lit': '16.0.2', 'llvmlite': '0.39.1', 'loguru': '0.7.0', 'lxml': '4.9.2', 'matplotlib': '3.7.1', 'matplotlib-inline': '0.1.6', 'mccabe': '0.7.0', 'mergedeep': '1.3.4', 'mistune': '2.0.5', 'mkdocs': '1.4.2', 'mlflow': '2.3.0', 'mmh3': '3.0.0', 'monotonic': '1.6', 'more-itertools': '9.1.0', 'mpmath': '1.3.0', 'msgpack': '1.0.5', 'msrest': '0.7.1', 'multidict': '6.0.4', 'multiprocess': '0.70.14', 'mypy': '1.2.0', 'mypy-extensions': '1.0.0', 'nbclassic': '1.0.0', 'nbclient': '0.7.4', 'nbconvert': '7.3.1', 'nbformat': '5.8.0', 'nest-asyncio': '1.5.6', 'networkx': '3.1', 'nltk': '3.8.1', 'nodeenv': '1.7.0', 'notebook': '6.5.4', 'notebook-shim': '0.2.3', 'nr.util': '0.8.12', 'num2words': '0.5.12', 'numba': '0.56.4', 'numpy': '1.23.5', 'nvidia-cublas-cu11': '11.10.3.66', 'nvidia-cuda-cupti-cu11': '11.7.101', 'nvidia-cuda-nvrtc-cu11': '11.7.99', 'nvidia-cuda-runtime-cu11': '11.7.99', 'nvidia-cudnn-cu11': '8.5.0.96', 'nvidia-cufft-cu11': '10.9.0.58', 'nvidia-curand-cu11': '10.2.10.91', 'nvidia-cusolver-cu11': '11.4.0.1', 'nvidia-cusparse-cu11': '11.7.4.91', 'nvidia-ml-py': '11.525.112', 'nvidia-nccl-cu11': '2.14.3', 'nvidia-nvtx-cu11': '11.7.91', 'oauthlib': '3.2.2', 'onnx': '1.13.1', 'onnxruntime': '1.14.1', 'onnxruntime-tools': '1.7.0', 'openai-whisper': '20230314', 'opencensus': '0.11.2', 'opencensus-context': '0.1.3', 'opensearch-py': '2.2.0', 'orjson': '3.8.12', 'outcome': '1.2.0', 'packaging': '23.1', 'pandas': '2.0.1', 'pandocfilters': '1.5.0', 'parso': '0.8.3', 'passlib': '1.7.4', 'pathspec': '0.11.1', 'pdf2image': '1.16.3', 'pexpect': '4.8.0', 'pickleshare': '0.7.5', 'pinecone-client': '2.2.1', 'pip': '23.0.1', 'platformdirs': '3.4.0', 'pluggy': '1.0.0', 'posthog': '3.0.1', 'pre-commit': '3.2.2', 'prometheus-client': '0.13.1', 'prompt-toolkit': '3.0.38', 'protobuf': '3.20.2', 'psutil': '5.9.0', 'psycopg2-binary': '2.9.6', 'ptyprocess': '0.7.0', 'pure-eval': '0.2.2', 'py3nvml': '0.2.7', 'py-cpuinfo': '9.0.0', 'py-spy': '0.3.14', 'pyarrow': '11.0.0', 'pyasn1': '0.5.0', 'pyasn1-modules': '0.3.0', 'pycparser': '2.21', 'pydantic': '1.10.7', 'pydoc-markdown': '4.6.4', 'pylint': '2.17.3', 'pymilvus': '2.0.2', 'pyparsing': '2.4.7', 'pyproject-api': '1.5.1', 'pyrsistent': '0.19.3', 'pytesseract': '0.3.10', 'pytest': '7.3.1', 'pytest-asyncio': '0.21.0', 'pytest-custom-exit-code': '0.3.0', 'python-dateutil': '2.8.2', 'python-docx': '0.8.11', 'python-dotenv': '1.0.0', 'python-frontmatter': '1.0.0', 'python-jose': '3.3.0', 'python-json-logger': '2.0.7', 'python-magic': '0.4.27', 'python-multipart': '0.0.6', 'python-terraform': '0.10.1', 'pytrec-eval': '0.5', 'pytz': '2023.3', 'pyyaml-env-tag': '0.1', 'pyzmq': '25.0.2', 'quantulum3': '0.8.1', 'querystring-parser': '1.2.4', 'rank-bm25': '0.2.2', 'rapidfuzz': '2.7.0', 'ray': '1.12.1', 'rdflib': '6.3.1', 'regex': '2023.3.23', 'requests': '2.28.2', 'requests-cache': '0.9.8', 'requests-oauthlib': '1.3.1', 'responses': '0.18.0', 'rfc3339-validator': '0.1.4', 'rfc3986-validator': '0.1.1', 'rich': '12.6.0', 'rsa': '4.9', 'scikit-learn': '1.2.2', 'scipy': '1.10.1', 'selenium': '4.9.0', 'sentence-transformers': '2.2.2', 'sentencepiece': '0.1.98', 'seqeval': '1.2.2', 'setuptools': '66.0.0', 'six': '1.16.0', 'smart-open': '6.3.0', 'smmap': '5.0.0', 'sniffio': '1.3.0', 'sortedcontainers': '2.4.0', 'soupsieve': '2.4.1', 'sqlalchemy2-stubs': '0.0.2a34', 'sqlmodel': '0.0.8', 'sqlparse': '0.4.4', 'sseclient-py': '1.7.2', 'stack-data': '0.6.2', 'starlette': '0.17.1', 'sympy': '1.11.1', 'tabulate': '0.9.0', 'tenacity': '8.2.2', 'terminado': '0.17.1', 'threadpoolctl': '3.1.0', 'tika': '2.6.0', 'tiktoken': '0.3.1', 'tinycss2': '1.2.1', 'tokenize-rt': '5.0.0', 'tokenizers': '0.13.3', 'tomli': '2.0.1', 'tomli-w': '1.0.0', 'tomlkit': '0.11.8', 'torch': '2.0.0', 'torchvision': '0.15.1', 'tornado': '6.3.1', 'tox': '4.5.1', 'tqdm': '4.65.0', 'traitlets': '5.9.0', 'transformers': '4.25.1', 'trio': '0.22.0', 'trio-websocket': '0.10.2', 'triton': '2.0.0', 'typing-extensions': '4.5.0', 'tzdata': '2023.3', 'ujson': '5.1.0', 'uri-template': '1.2.0', 'url-normalize': '1.4.3', 'urllib3': '1.26.15', 'uvicorn': '0.17.6', 'uvloop': '0.17.0', 'validators': '0.18.2', 'virtualenv': '20.22.0', 'watchdog': '3.0.0', 'watchgod': '0.8.2', 'wcwidth': '0.2.6', 'weaviate-client': '3.10.0', 'webcolors': '1.13', 'webdriver-manager': '3.8.6', 'webencodings': '0.5.1', 'websocket-client': '1.5.1', 'websockets': '11.0.3', 'wheel': '0.38.4', 'widgetsnbextension': '3.6.4', 'wrapt': '1.15.0', 'wsproto': '1.2.0', 'xmltodict': '0.13.0', 'xxhash': '3.2.0', 'yapf': '0.33.0', 'yarl': '1.9.2', 'zenml': '0.38.0', 'zipp': '3.15.0'}

CURRENT STACK

Name: default ID: 569c9ea0-e6d4-414b-b0f0-1c5430dbce11 Shared: No User: default / 193c1ec4-ff4d-4dbc-9de5-11be8522f668 Workspace: default / 30a7c238-faf0-4a7c-a08b-938176350825

ORCHESTRATOR: default

Name: default ID: 8563019f-4821-43e0-b77e-73d274c59a44 Type: orchestrator Flavor: local Configuration: {} Shared: No User: default / 193c1ec4-ff4d-4dbc-9de5-11be8522f668 Workspace: default / 30a7c238-faf0-4a7c-a08b-938176350825

ARTIFACT_STORE: default

Name: default ID: 05c0c57a-ee1c-4628-b66e-a15cf7b4f692 Type: artifact_store Flavor: local Configuration: {'path': ''} Shared: No User: default / 193c1ec4-ff4d-4dbc-9de5-11be8522f668 Workspace: default / 30a7c238-faf0-4a7c-a08b-938176350825

What happened?

Scenario 2: Local Deployment of the HTTP server with docker is not working as intended.

$ zenml up --docker
Error: Docker does not seem to be installed on your system. Please install Docker to use the Docker ZenML server local deployment or use one of the other deployment options.

Docker is running in rootless context. 

$ docker -v
Docker version 23.0.6, build ef23cbc
$ docker info
Client:
 Context:    rootless
 Debug Mode: false
 Plugins:
  buildx: Docker Buildx (Docker Inc.)
    Version:  v0.10.4
    Path:     /usr/libexec/docker/cli-plugins/docker-buildx
  compose: Docker Compose (Docker Inc.)
    Version:  v2.17.3
    Path:     /usr/libexec/docker/cli-plugins/docker-compose

Server:
 Containers: 3
  Running: 0
  Paused: 0
  Stopped: 3
 Images: 2
 Server Version: 23.0.5
 Storage Driver: overlay2
  Backing Filesystem: extfs
  Supports d_type: true
  Using metacopy: false
  Native Overlay Diff: false
  userxattr: true
 Logging Driver: json-file
 Cgroup Driver: systemd
 Cgroup Version: 2
 Plugins:
  Volume: local
  Network: bridge host ipvlan macvlan null overlay
  Log: awslogs fluentd gcplogs gelf journald json-file local logentries splunk syslog
 Swarm: inactive
 Runtimes: runc io.containerd.runc.v2
 Default Runtime: runc
 Init Binary: docker-init
 containerd version: 
 runc version: v1.1.7-0-g860f061
 init version: de40ad0
 Security Options:
  seccomp
   Profile: builtin
  rootless
  cgroupns
 Kernel Version: 5.19.0-41-generic
 Operating System: Ubuntu 22.04.2 LTS
 OSType: linux
 Architecture: x86_64
 CPUs: 32
 Total Memory: 125GiB

Non docker Scenario 2: Local Deployment of the HTTP server is working as intended.

$ zenml up
Deploying a local ZenML server with name 'local'.
Connecting ZenML to the 'local' local ZenML server (http://127.0.0.1:8237).
Updated the global store configuration.
Connected ZenML to the 'local' local ZenML server (http://127.0.0.1:8237).
The local ZenML dashboard is available at 'http://127.0.0.1:8237'. You can connect to it using the 'default' username and an empty 
password. To open the dashboard in a browser automatically, set the env variable AUTO_OPEN_DASHBOARD=true.
Automatically opening the dashboard in your browser. To disable this, set the env variable AUTO_OPEN_DASHBOARD=false.

Reproduction steps

  1. pip install "zenml[server]==0.38.0"
  2. Run $ zenml up --docker

Relevant log output

Error: Docker does not seem to be installed on your system. Please install Docker to use the Docker ZenML server local deployment or use one of the other deployment options.

Code of Conduct

stefannica commented 1 year ago

@wiesbadener thank you for reporting this. This might be related to Docker not being accessible by non-root users on your system, but it's difficult to tell.

The piece of ZenML code that is reporting that error is quite simple and you should be able to run it yourself to get more information into the error:

python -c "from docker.client import DockerClient; docker_client = DockerClient.from_env(); docker_client.ping()"

The stack trace should give more information into why connecting to Docker with the python client fails.

htahir1 commented 1 year ago

@wiesbadener Did that workaround help at all?

wiesbadener commented 1 year ago

Thanks @stefannica for your reply. Sorry for the late response.

I ran your code and get the following errors. Still investigating the reasons. 

$ python -c "from docker.client import DockerClient; docker_client = DockerClient.from_env(); docker_client.ping()"
Traceback (most recent call last):
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 703, in urlopen
    httplib_response = self._make_request(
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 398, in _make_request
    conn.request(method, url, **httplib_request_kw)
  File "~/miniconda3/envs/mlenv/lib/python3.9/http/client.py", line 1285, in request
    self._send_request(method, url, body, headers, encode_chunked)
  File "~/miniconda3/envs/mlenv/lib/python3.9/http/client.py", line 1331, in _send_request
    self.endheaders(body, encode_chunked=encode_chunked)
  File "~/miniconda3/envs/mlenv/lib/python3.9/http/client.py", line 1280, in endheaders
    self._send_output(message_body, encode_chunked=encode_chunked)
  File "~/miniconda3/envs/mlenv/lib/python3.9/http/client.py", line 1040, in _send_output
    self.send(msg)
  File "~/miniconda3/envs/mlenv/lib/python3.9/http/client.py", line 980, in send
    self.connect()
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/docker/transport/unixconn.py", line 30, in connect
    sock.connect(self.unix_socket)
FileNotFoundError: [Errno 2] No such file or directory

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/requests/adapters.py", line 489, in send
    resp = conn.urlopen(
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 787, in urlopen
    retries = retries.increment(
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/urllib3/util/retry.py", line 550, in increment
    raise six.reraise(type(error), error, _stacktrace)
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/urllib3/packages/six.py", line 769, in reraise
    raise value.with_traceback(tb)
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 703, in urlopen
    httplib_response = self._make_request(
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/urllib3/connectionpool.py", line 398, in _make_request
    conn.request(method, url, **httplib_request_kw)
  File "~/miniconda3/envs/mlenv/lib/python3.9/http/client.py", line 1285, in request
    self._send_request(method, url, body, headers, encode_chunked)
  File "~/miniconda3/envs/mlenv/lib/python3.9/http/client.py", line 1331, in _send_request
    self.endheaders(body, encode_chunked=encode_chunked)
  File "~/miniconda3/envs/mlenv/lib/python3.9/http/client.py", line 1280, in endheaders
    self._send_output(message_body, encode_chunked=encode_chunked)
  File "~/miniconda3/envs/mlenv/lib/python3.9/http/client.py", line 1040, in _send_output
    self.send(msg)
  File "~/miniconda3/envs/mlenv/lib/python3.9/http/client.py", line 980, in send
    self.connect()
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/docker/transport/unixconn.py", line 30, in connect
    sock.connect(self.unix_socket)
urllib3.exceptions.ProtocolError: ('Connection aborted.', FileNotFoundError(2, 'No such file or directory'))

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/docker/api/client.py", line 214, in _retrieve_server_version
    return self.version(api_version=False)["ApiVersion"]
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/docker/api/daemon.py", line 181, in version
    return self._result(self._get(url), json=True)
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/docker/utils/decorators.py", line 46, in inner
    return f(self, *args, **kwargs)
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/docker/api/client.py", line 237, in _get
    return self.get(url, **self._set_request_timeout(kwargs))
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/requests/sessions.py", line 600, in get
    return self.request("GET", url, **kwargs)
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/requests/sessions.py", line 587, in request
    resp = self.send(prep, **send_kwargs)
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/requests/sessions.py", line 701, in send
    r = adapter.send(request, **kwargs)
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/requests/adapters.py", line 547, in send
    raise ConnectionError(err, request=request)
requests.exceptions.ConnectionError: ('Connection aborted.', FileNotFoundError(2, 'No such file or directory'))

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/docker/client.py", line 96, in from_env
    return cls(
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/docker/client.py", line 45, in __init__
    self.api = APIClient(*args, **kwargs)
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/docker/api/client.py", line 197, in __init__
    self._version = self._retrieve_server_version()
  File "~/miniconda3/envs/mlenv/lib/python3.9/site-packages/docker/api/client.py", line 221, in _retrieve_server_version
    raise DockerException(
docker.errors.DockerException: Error while fetching server API version: ('Connection aborted.', FileNotFoundError(2, 'No such file or directory'))
stefannica commented 1 year ago

@wiesbadener I hope you figured out how to manage Docker on your system as a non-root user. If not, please see the following: https://docs.docker.com/engine/install/linux-postinstall/#manage-docker-as-a-non-root-user.

In any case, seeing as this is not a ZenML issue but rather a Docker installation issue on your machine, I would recommend we close this issue.

wiesbadener commented 1 year ago

Yes, it’s a docker related issue. Thanks! Closing it.

stefannica commented 1 year ago

@wiesbadener thank you !