How to install TensorBoard module in python env using bazel

I follow READER.md to install TensorBoard, That’s ok,

bazel build tensorboard:tensorboard
./bazel-bin/tensorboard/tensorboard --logdir path/to/logs

But I cannot find TensorBoard in python env

(tensorboard-dev) [root@hwtnode ~]# python -c "import tensorboard"
Traceback (most recent call last):
  File "<string>", line 1, in <module>
ModuleNotFoundError: No module named 'tensorboard'
(tensorboard-dev) [root@hwtnode ~]#

Environment information (required)

(tensorboard-dev) [root@hwtnode repos]# python tensorboard/tensorboard/tools/diagnose_tensorboard.py

Diagnostics

Diagnostics output

--- check: autoidentify
INFO: diagnose_tensorboard.py version d515ab103e2b1cfcea2b096187741a0eeb8822ef

--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=6, micro=9, releaselevel='final', serial=0)
INFO: os.name: posix
INFO: os.uname(): posix.uname_result(sysname='Linux', nodename='hwtnode', release='3.10.0-862.11.6.el7.x86_64', version='#1 SMP Tue Aug 14 21:49:04 UTC 2018', machine='x86_64')
INFO: sys.getwindowsversion(): N/A

--- check: package_management
INFO: has conda-meta: False
INFO: $VIRTUAL_ENV: '/root/tensorboard-dev'

--- check: installed_packages
WARNING: no installation among: ['tb-nightly', 'tensorboard', 'tensorflow-tensorboard']
INFO: installed: tensorflow==1.14.0
INFO: installed: tensorflow-estimator==1.14.0

--- check: tensorboard_python_version
Traceback (most recent call last):
  File "tensorboard/tensorboard/tools/diagnose_tensorboard.py", line 470, in main
    suggestions.extend(check())
  File "tensorboard/tensorboard/tools/diagnose_tensorboard.py", line 78, in wrapper
    result = fn()
  File "tensorboard/tensorboard/tools/diagnose_tensorboard.py", line 246, in tensorboard_python_version
    from tensorboard import version
ModuleNotFoundError: No module named 'tensorboard'

--- check: tensorflow_python_version
/root/tensorboard-dev/lib64/python3.6/site-packages/tensorflow/python/framework/dtypes.py:516: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint8 = np.dtype([("qint8", np.int8, 1)])
/root/tensorboard-dev/lib64/python3.6/site-packages/tensorflow/python/framework/dtypes.py:517: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint8 = np.dtype([("quint8", np.uint8, 1)])
/root/tensorboard-dev/lib64/python3.6/site-packages/tensorflow/python/framework/dtypes.py:518: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint16 = np.dtype([("qint16", np.int16, 1)])
/root/tensorboard-dev/lib64/python3.6/site-packages/tensorflow/python/framework/dtypes.py:519: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_quint16 = np.dtype([("quint16", np.uint16, 1)])
/root/tensorboard-dev/lib64/python3.6/site-packages/tensorflow/python/framework/dtypes.py:520: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  _np_qint32 = np.dtype([("qint32", np.int32, 1)])
/root/tensorboard-dev/lib64/python3.6/site-packages/tensorflow/python/framework/dtypes.py:525: FutureWarning: Passing (type, 1) or '1type' as a synonym of type is deprecated; in a future version of numpy, it will be understood as (type, (1,)) / '(1,)type'.
  np_resource = np.dtype([("resource", np.ubyte, 1)])
WARNING: Limited tf.compat.v2.summary API due to missing TensorBoard installation.
INFO: tensorflow.__version__: '1.14.0'
INFO: tensorflow.__git_version__: 'v1.14.0-rc1-22-gaf24dc91b5'

--- check: tensorboard_binary_path
which: no tensorboard in (/root/tensorboard-dev/bin:/opt/node/bin:/opt/rh/rh-python36/root/usr/bin:/opt/node/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/root/bin:/root/bin)
INFO: which tensorboard: None

--- 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: 32>
socket.AI_PASSIVE = <AddressInfo.AI_PASSIVE: 1>
Loopback flags: <AddressInfo.AI_ADDRCONFIG: 32>
Loopback infos: [(<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('127.0.0.1', 0))]
Wildcard flags: <AddressInfo.AI_PASSIVE: 1>
Wildcard infos: [(<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('0.0.0.0', 0)), (<AddressFamily.AF_INET6: 10>, <SocketKind.SOCK_STREAM: 1>, 6, '', ('::', 0, 0, 0))]

--- check: readable_fqdn
INFO: socket.getfqdn(): 'hwtnode'

--- check: stat_tensorboardinfo
INFO: directory: /tmp/.tensorboard-info
INFO: os.stat(...): os.stat_result(st_mode=16895, st_ino=2951129959, st_dev=64, st_nlink=2, st_uid=0, st_gid=0, st_size=27, st_atime=1582294975, st_mtime=1583398334, st_ctime=1583398334)
INFO: mode: 0o40777

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

--- check: full_pip_freeze
INFO: pip freeze --all:
absl-py==0.9.0
astor==0.8.1
attrs==19.3.0
backcall==0.1.0
bleach==3.1.1
cachetools==4.0.0
captum==0.2.0
certifi==2019.11.28
chardet==3.0.4
Click==7.0
cycler==0.10.0
decorator==4.4.1
defusedxml==0.6.0
dill==0.3.1.1
entrypoints==0.3
Flask==1.1.1
gast==0.3.3
google-auth==1.11.2
google-auth-oauthlib==0.4.1
google-pasta==0.1.8
grpcio==1.27.2
h5py==2.10.0
idna==2.9
importlib-metadata==1.5.0
ipdb==0.12.3
ipykernel==5.1.4
ipython==7.12.0
ipython-genutils==0.2.0
itsdangerous==1.1.0
jedi==0.16.0
Jinja2==2.11.1
jsonschema==3.2.0
jupyter-client==6.0.0
jupyter-core==4.6.3
Keras-Applications==1.0.8
Keras-Preprocessing==1.1.0
kiwisolver==1.1.0
Markdown==3.2.1
MarkupSafe==1.1.1
matplotlib==3.1.3
mistune==0.8.4
nbconvert==5.6.1
nbformat==5.0.4
notebook==6.0.3
numpy==1.18.1
oauthlib==3.1.0
pandocfilters==1.4.2
parso==0.6.1
pexpect==4.8.0
pickleshare==0.7.5
Pillow==7.0.0
pip==20.0.2
prometheus-client==0.7.1
prompt-toolkit==3.0.3
protobuf==3.11.3
ptyprocess==0.6.0
pyasn1==0.4.8
pyasn1-modules==0.2.8
Pygments==2.5.2
pyparsing==2.4.6
pyrsistent==0.15.7
PySnooper==0.3.0
python-dateutil==2.8.1
pyzmq==19.0.0
requests==2.23.0
requests-oauthlib==1.3.0
rsa==4.0
Send2Trash==1.5.0
setuptools==45.2.0
six==1.14.0
-e git+https://github.com/tensorflow/tensorboard.git@799c5cf6ae1f5f8d78a09382689dcb9d0ec5f561#egg=tensorboard_plugin_example&subdirectory=tensorboard/examples/plugins/example_basic
tensorflow==1.14.0
tensorflow-estimator==1.14.0
termcolor==1.1.0
terminado==0.8.3
testpath==0.4.4
torch==1.4.0
torchvision==0.5.0
tornado==6.0.3
traitlets==4.3.3
urllib3==1.25.8
wcwidth==0.1.8
webencodings==0.5.1
Werkzeug==1.0.0
wheel==0.34.2
wrapt==1.12.0
zipp==3.0.0

My question:

Does bazel build will not build TensorBoard python package? How can I build and install TensorBoard python package using TensorBoard source code?

[nfelt]

bazel build tensorboard:tensorboard produces a “binary” which is a script that launches a python interpreter to run the main.py for TensorBoard, and this script is specially configured to look for Python source files that were built with Bazel.

The build doesn’t in any way update the normal Python environment that you have available.

If you want to build and install the TensorBoard pip package locally, you’ll want to run instead the following from within a Python 3 virtual environment (first uninstalling tensorboard if you already had a pip package for it installed):

$ pip uninstall -y tensorboard tb-nightly tensorboard-plugin-wit
$ bazel run //tensorboard/pip_package:extract_pip_package -- /tmp/tb
$ pip install --upgrade /tmp/tb/tensorboard*py3*.whl

[hexiaoting]

@nfelt That’s exactly what I want, thank you.