tensorflow / tensorflow/tensorboard

%tensorboard magic in jupyter notebook on docker connection refuesed

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Description

Consider Stack Overflow for getting support using TensorBoard—they have
a larger community with better searchability:

https://stackoverflow.com/questions/tagged/tensorboard

Do not use this template for for setup, installation, or configuration
issues. Instead, use the “installation problem” issue template:

https://github.com/tensorflow/tensorboard/issues/new?template=installation_problem.md

To report a problem with TensorBoard itself, please fill out the
remainder of this template.

Environment information (required)

Please run diagnose_tensorboard.py (link below) in the same
environment from which you normally run TensorFlow/TensorBoard, and
paste the output here:

https://raw.githubusercontent.com/tensorflow/tensorboard/master/tensorboard/tools/diagnose_tensorboard.py

For browser-related issues, please additionally specify:

  • Browser type and version (e.g., Chrome 64.0.3282.140):
  • Screenshot, if it’s a visual issue:

`/Users/tom/.local/share/virtualenvs/pycharm-db_J3GYa/bin/Python /Users/tom/Work/pycharm/main.py

Diagnostics
Diagnostics output
--- check: autoidentify
INFO: diagnose_tensorboard.py version df7af2c6fc0e4c4a5b47aeae078bc7ad95777ffa

--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=8, micro=9, releaselevel='final', serial=0)
INFO: os.name: posix
INFO: os.uname(): posix.uname_result(sysname='Darwin', nodename='tomdeMacBook-Pro.local', release='21.6.0', version='Darwin Kernel Version 21.6.0: Mon Aug 22 20:17:10 PDT 2022; root:xnu-8020.140.49~2/RELEASE_X86_64', machine='x86_64')
INFO: sys.getwindowsversion(): N/A

--- check: package_management
INFO: has conda-meta: False
INFO: $VIRTUAL_ENV: '/Users/tom/.local/share/virtualenvs/pycharm-db_J3GYa'

--- check: installed_packages
WARNING: no installation among: ['tb-nightly', 'tensorboard', 'tensorflow-tensorboard']
WARNING: no installation among: ['tensorflow', 'tensorflow-gpu', 'tf-nightly', 'tf-nightly-2.0-preview', 'tf-nightly-gpu', 'tf-nightly-gpu-2.0-preview']
WARNING: no installation among: ['tensorflow-estimator', 'tensorflow-estimator-2.0-preview', 'tf-estimator-nightly']

--- check: tensorboard_python_version
Traceback (most recent call last):
  File "/Users/tom/Work/pycharm/main.py", line 511, in main
    suggestions.extend(check())
  File "/Users/tom/Work/pycharm/main.py", line 81, in wrapper
    result = fn()
  File "/Users/tom/Work/pycharm/main.py", line 260, in tensorboard_python_version
    from tensorboard import version
ModuleNotFoundError: No module named 'tensorboard'

--- check: tensorflow_python_version
Traceback (most recent call last):
  File "/Users/tom/Work/pycharm/main.py", line 511, in main
    suggestions.extend(check())
  File "/Users/tom/Work/pycharm/main.py", line 81, in wrapper
    result = fn()
  File "/Users/tom/Work/pycharm/main.py", line 267, in tensorflow_python_version
    import tensorflow as tf
ModuleNotFoundError: No module named 'tensorflow'

--- check: tensorboard_data_server_version
INFO: no data server installed

--- check: tensorboard_binary_path
INFO: which tensorboard: b'/usr/local/bin/tensorboard\n'

--- check: addrinfos
socket.has_ipv6 = True
socket.AF_UNSPEC = <AddressFamily.AF_UNSPEC: 0>
socket.SOCK_STREAM = <SocketKind.SOCK_STREAM: 1>
socket.AI_ADDRCONFIG = <AddressInfo.AI_ADDRCONFIG: 1024>
socket.AI_PASSIVE = <AddressInfo.AI_PASSIVE: 1>
Loopback flags: <AddressInfo.AI_ADDRCONFIG: 1024>
Loopback infos: [(<AddressFamily.AF_INET6: 30>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('::1', 0, 0, 0)), (<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('127.0.0.1', 0))]
Wildcard flags: <AddressInfo.AI_PASSIVE: 1>
Wildcard infos: [(<AddressFamily.AF_INET6: 30>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('::', 0, 0, 0)), (<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('0.0.0.0', 0))]

--- check: readable_fqdn
INFO: socket.getfqdn(): 'tomdeMacBook-Pro.local'

--- check: stat_tensorboardinfo
INFO: directory: /var/folders/m2/yvpvgp7x5rs8jqhypm0y92hr0000gn/T/.tensorboard-info
INFO: os.stat(...): os.stat_result(st_mode=16895, st_ino=28160978, st_dev=16777221, st_nlink=2, st_uid=501, st_gid=20, st_size=64, st_atime=1695612672, st_mtime=1695612822, st_ctime=1695612822)
INFO: mode: 0o40777

--- check: source_trees_without_genfiles
INFO: tensorboard_roots (0): []; bad_roots (0): []

--- check: full_pip_freeze
INFO: pip freeze --all:
pip==21.3.1
setuptools==58.3.0
wheel==0.37.0

Next steps

No action items identified. Please copy ALL of the above output,
including the lines containing only backticks, into your GitHub issue
or comment. Be sure to redact any sensitive information.
`

Issue description

Please describe the bug as clearly as possible. How can we reproduce the
problem without additional resources (including external data files and
proprietary Python modules)?

docker command: sudo docker run -it -p 8888:8888 -p 6005-6015:6005-6015 \ tensorflow/tensorflow:nightly-py3-jupyter

image

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start with the supplied Docker command and the screenshot describing the %tensorboard Jupyter notebook failure. Review the diagnostic output first; it reports no installed TensorBoard or TensorFlow packages in the shown Python environment. Done should mean the reported notebook-to-TensorBoard connection problem is reproducible and its expected behavior is verified.

Written by the indexing model from the issue text.

Assessment

Tech stack
docker, jupyter-notebook, python
Domain
devtools
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
20/100

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