Error when trying the Notebook Guide : Visualizing Data using the Embedding Projector in TensorBoard

[ThibaudMrx]

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:

C:\Users\XXXXX\Desktop\XXXXX\XXXXX>python diagnose_tensorboard.py
C:\Users\XXXXX\Desktop\XXXXX\XXXXX\diagnose_tensorboard.py:32: DeprecationWarning: 'pipes' is deprecated and slated for removal in Python 3.13
import pipes

Diagnostics

Diagnostics output

--- check: autoidentify
INFO: diagnose_tensorboard.py version c6ca9f1d004e2a1bc7c160abc43be229b82cad7e

--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=12, micro=8, releaselevel='final', serial=0)
INFO: os.name: nt
INFO: os.uname(): N/A
INFO: sys.getwindowsversion(): sys.getwindowsversion(major=10, minor=0, build=19045, platform=2, service_pack='')

--- check: package_management
INFO: has conda-meta: False
INFO: $VIRTUAL_ENV: None

--- check: installed_packages
INFO: installed: tensorboard==2.18.0
INFO: installed: tensorflow==2.18.0
WARNING: no installation among: ['tensorflow-estimator', 'tensorflow-estimator-2.0-preview', 'tf-estimator-nightly']
INFO: installed: tensorboard-data-server==0.7.2

--- check: tensorboard_python_version
INFO: tensorboard.version.VERSION: '2.18.0'

--- check: tensorflow_python_version
2025-01-08 23:15:10.594605: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2025-01-08 23:15:11.862636: I tensorflow/core/util/port.cc:153] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
INFO: tensorflow.__version__: '2.18.0'
INFO: tensorflow.__git_version__: 'v2.18.0-rc2-4-g6550e4bd802'

--- check: tensorboard_data_server_version
INFO: data server binary: None

--- check: tensorboard_binary_path
INFO: which tensorboard: b'C:\\Users\\XXXXX\\AppData\\Roaming\\Python\\Python312\\Scripts\\tensorboard.exe\r\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: 23>, <SocketKind.SOCK_STREAM: 1>, 0, '', ('::1', 0, 0, 0)), (<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 0, '', ('127.0.0.1', 0))]
Wildcard flags: <AddressInfo.AI_PASSIVE: 1>
Wildcard infos: [(<AddressFamily.AF_INET6: 23>, <SocketKind.SOCK_STREAM: 1>, 0, '', ('::', 0, 0, 0)), (<AddressFamily.AF_INET: 2>, <SocketKind.SOCK_STREAM: 1>, 0, '', ('0.0.0.0', 0))]

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

--- check: stat_tensorboardinfo
INFO: directory: C:\Users\XXXXX\AppData\Local\Temp\.tensorboard-info
INFO: os.stat(...): os.stat_result(st_mode=16895, st_ino=40250921669688513, st_dev=778575332525344801, st_nlink=1, st_uid=0, st_gid=0, st_size=0, st_atime=1736372825, st_mtime=1736173666, st_ctime=1736173666)
INFO: mode: 0o40777

--- check: source_trees_without_genfiles
INFO: tensorboard_roots (1): ['C:\\Users\\XXXXX\\AppData\\Roaming\\Python\\Python312\\site-packages']; bad_roots (0): []

--- check: full_pip_freeze
INFO: pip freeze --all:
absl-py==2.1.0
anyio==4.8.0
argon2-cffi==23.1.0
argon2-cffi-bindings==21.2.0
arrow==1.3.0
asttokens==3.0.0
astunparse==1.6.3
async-lru==2.0.4
attrs==24.3.0
babel==2.16.0
beautifulsoup4==4.12.3
bleach==6.2.0
certifi==2024.12.14
cffi==1.17.1
charset-normalizer==3.4.1
click==8.1.8
colorama==0.4.6
comm==0.2.2
contourpy==1.3.1
cycler==0.12.1
debugpy==1.8.11
decorator==5.1.1
defusedxml==0.7.1
dm-tree==0.1.8
docstring_parser==0.16
etils==1.11.0
executing==2.1.0
fastjsonschema==2.21.1
filelock==3.16.1
flatbuffers==24.12.23
fonttools==4.55.3
fqdn==1.5.1
fsspec==2024.10.0
gast==0.6.0
google-pasta==0.2.0
googleapis-common-protos==1.66.0
grpcio==1.69.0
h11==0.14.0
h5py==3.12.1
httpcore==1.0.7
httpx==0.28.1
idna==3.10
immutabledict==4.2.1
importlib_resources==6.5.2
ipykernel==6.29.5
ipython==8.31.0
ipywidgets==8.1.5
isoduration==20.11.0
jedi==0.19.2
Jinja2==3.1.4
joblib==1.4.2
json5==0.10.0
jsonpointer==3.0.0
jsonschema==4.23.0
jsonschema-specifications==2024.10.1
jupyter==1.1.1
jupyter-console==6.6.3
jupyter-events==0.11.0
jupyter-lsp==2.2.5
jupyter_client==8.6.3
jupyter_core==5.7.2
jupyter_server==2.15.0
jupyter_server_terminals==0.5.3
jupyterlab==4.3.4
jupyterlab_pygments==0.3.0
jupyterlab_server==2.27.3
jupyterlab_widgets==3.0.13
keras==3.8.0
kiwisolver==1.4.8
libclang==18.1.1
Markdown==3.7
markdown-it-py==3.0.0
MarkupSafe==2.1.5
matplotlib==3.10.0
matplotlib-inline==0.1.7
mdurl==0.1.2
mistune==3.1.0
ml-dtypes==0.4.1
mpmath==1.3.0
namex==0.0.8
nbclient==0.10.2
nbconvert==7.16.5
nbformat==5.10.4
nest-asyncio==1.6.0
networkx==3.4.2
notebook==7.3.2
notebook_shim==0.2.4
numpy==2.0.2
opt_einsum==3.4.0
optree==0.13.1
overrides==7.7.0
packaging==24.2
pandas==2.2.3
pandocfilters==1.5.1
parso==0.8.4
patsy==1.0.1
pillow==11.0.0
pip==24.3.1
platformdirs==4.3.6
prometheus_client==0.21.1
promise==2.3
prompt_toolkit==3.0.48
protobuf==5.29.3
psutil==6.1.1
pure_eval==0.2.3
pyarrow==18.1.0
pycparser==2.22
Pygments==2.18.0
pyparsing==3.2.1
python-dateutil==2.9.0.post0
python-json-logger==3.2.1
pytz==2024.2
pywin32==308
pywinpty==2.0.14
PyYAML==6.0.2
pyzmq==26.2.0
referencing==0.35.1
requests==2.32.3
rfc3339-validator==0.1.4
rfc3986-validator==0.1.1
rich==13.9.4
rpds-py==0.22.3
scikit-learn==1.6.0
scipy==1.15.0
seaborn==0.13.2
Send2Trash==1.8.3
setuptools==70.2.0
simple-parsing==0.1.6
six==1.17.0
sniffio==1.3.1
soupsieve==2.6
stack-data==0.6.3
statsmodels==0.14.4
sympy==1.13.1
tensorboard==2.18.0
tensorboard-data-server==0.7.2
tensorflow==2.18.0
tensorflow-datasets==4.9.7
tensorflow-metadata==1.16.1
tensorflow_intel==2.18.0
termcolor==2.5.0
terminado==0.18.1
threadpoolctl==3.5.0
tinycss2==1.4.0
toml==0.10.2
torch==2.7.0.dev20250106+cu126
torchaudio==2.6.0.dev20250107+cu126
torchvision==0.22.0.dev20250107+cu126
tornado==6.4.2
tqdm==4.67.1
traitlets==5.14.3
types-python-dateutil==2.9.0.20241206
typing_extensions==4.12.2
tzdata==2024.2
uri-template==1.3.0
urllib3==2.3.0
wcwidth==0.2.13
webcolors==24.11.1
webencodings==0.5.1
websocket-client==1.8.0
Werkzeug==3.1.3
wheel==0.45.1
widgetsnbextension==4.0.13
wrapt==1.17.0
zipp==3.21.0

Next steps

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C:\Users\XXXXX\XXXXX\XXXXX\XXXXX>

Issue description

When trying the tutorial notebook here : https://github.com/tensorflow/tensorboard/blob/master/docs/tensorboard_projector_plugin.ipynb

I encounter an issue when trying to run the second cell :

(train_data, test_data), info = tfds.load(
    "imdb_reviews/subwords8k",
    split=(tfds.Split.TRAIN, tfds.Split.TEST),
    with_info=True,
    as_supervised=True,
)

Here is the error :

ValueError: Failed to construct dataset "imdb_reviews", builder_kwargs "{'config': 'subwords8k', 'data_dir': None}": BuilderConfig subwords8k not found with version None. Available: ['plain_text']

I think the argument name="imdb_reviews/subwords8k" is no longer an option, this causes the error. I tried to replace with plain_text and the loading worked.

But plain text and embeddings do not match so the rest of the example notebook will not execute