DeprecationWarning triggered with Numpy 1.24.0 usage of np.bool8

[johnthagen]

Environment information (required)

Diagnostics

Diagnostics output

--- check: autoidentify
INFO: diagnose_tensorboard.py version 2dddce2c4b2b32835814022bf9f671da00df13c2

--- check: general
INFO: sys.version_info: sys.version_info(major=3, minor=10, micro=8, releaselevel='final', serial=0)
INFO: os.name: posix
INFO: os.uname(): posix.uname_result(sysname='Darwin', nodename='gpvpn-10-134-244-17.jhuapl.edu', 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

--- check: installed_packages
INFO: installed: tensorboard==2.11.0
WARNING: no installation among: ['tensorflow', 'tensorflow-gpu', 'tf-nightly', 'tf-nightly-2.0-preview', 'tf-nightly-gpu', 'tf-nightly-gpu-2.0-preview']
INFO: installed: tensorflow-estimator==2.11.0
INFO: installed: tensorboard-data-server==0.6.1

--- check: tensorboard_python_version
INFO: tensorboard.version.VERSION: '2.11.0'

--- check: tensorflow_python_version
2022-12-19 08:12:02.400360: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
INFO: tensorflow.__version__: '2.11.0'
INFO: tensorflow.__git_version__: 'v2.11.0-rc2-17-gd5b57ca93e5'

--- check: tensorboard_data_server_version
INFO: data server binary: '/Users/user/Library/Caches/pypoetry/virtualenvs/proc-server-6ig4-MWI-py3.10/lib/python3.10/site-packages/tensorboard_data_server/bin/server'
INFO: data server binary version: b'rustboard 0.6.1'

--- check: readable_fqdn
INFO: socket.getfqdn(): 'gpvpn-10-134-244-17.jhuapl.edu'

--- check: stat_tensorboardinfo
INFO: directory: /var/folders/vt/p198hmr51x3dvl179df9pdhh0000gn/T/.tensorboard-info
INFO: .tensorboard-info directory does not exist

--- check: full_pip_freeze
INFO: pip freeze --all:
absl-py==1.3.0
anyio==3.6.2
argcomplete==2.0.0
astunparse==1.6.3
attrs==22.1.0
autoflake==1.7.8
black==22.12.0
cachetools==5.2.0
certifi==2022.12.7
charset-normalizer==2.1.1
click==8.1.3
colorama==0.4.6
colorlog==6.7.0
commonmark==0.9.1
coverage==7.0.0
distlib==0.3.6
docker==6.0.1
exceptiongroup==1.0.4
execnet==1.9.0
fastapi==0.88.0
filelock==3.8.2
flake8==5.0.4
flake8-broken-line==0.6.0
flake8-bugbear==22.12.6
flake8-comprehensions==3.10.1
Flake8-pyproject==1.2.2
flatbuffers==22.12.6
gast==0.4.0
ghp-import==2.1.0
google-auth==2.15.0
google-auth-oauthlib==0.4.6
google-pasta==0.2.0
griffe==0.25.0
grpcio==1.51.1
h11==0.14.0
h5py==3.7.0
httpcore==0.16.2
httptools==0.5.0
httpx==0.23.1
idna==3.4
imageio==2.23.0
importlib-metadata==5.2.0
iniconfig==1.1.1
isort==5.11.3
Jinja2==3.1.2
keras==2.11.0
libclang==14.0.6
Markdown==3.4.1
MarkupSafe==2.1.1
mccabe==0.7.0
mergedeep==1.3.4
mkdocs==1.3.0
mkdocs-autorefs==0.4.1
mkdocs-include-markdown-plugin==4.0.3
mkdocs-material==8.5.4
mkdocs-material-extensions==1.1.1
mkdocstrings==0.19.1
mkdocstrings-python==0.8.2
mypy==0.991
mypy-extensions==0.4.3
networkx==2.8.8
nox==2022.11.21
nox-poetry==1.0.2
numpy==1.24.0
oauthlib==3.2.2
openapi-python-client==0.12.3
opencv-python-headless==4.5.5.64
opt-einsum==3.3.0
packaging==22.0
pandas==1.5.2
pathspec==0.10.3
pep8-naming==0.13.2
Pillow==9.3.0
pip==22.3.1
platformdirs==2.6.0
plotly==5.11.0
pluggy==1.0.0
protobuf==3.19.6
psutil==5.9.4
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycodestyle==2.9.1
pydantic==1.10.2
pyflakes==2.5.0
Pygments==2.13.0
pymdown-extensions==9.9
pytest==7.2.0
pytest-cov==4.0.0
pytest-mock==3.10.0
pytest-randomly==3.12.0
pytest-xdist==3.1.0
python-dateutil==2.8.2
python-dotenv==0.21.0
pytz==2022.7
PyWavelets==1.4.1
PyYAML==6.0
pyyaml_env_tag==0.1
requests==2.28.1
requests-oauthlib==1.3.1
rfc3986==1.5.0
rich==12.6.0
rsa==4.9
scikit-image==0.19.3
scipy==1.9.3
setuptools==65.6.3
shellingham==1.5.0
six==1.16.0
sniffio==1.3.0
starlette==0.22.0
tenacity==8.1.0
tensorboard==2.11.0
tensorboard-data-server==0.6.1
tensorboard-plugin-wit==1.8.1
tensorflow-cpu==2.11.0
tensorflow-estimator==2.11.0
tensorflow-io-gcs-filesystem==0.29.0
termcolor==2.1.1
tifffile==2022.10.10
tomli==2.0.1
tomlkit==0.11.6
typer==0.7.0
types-requests==2.28.11.5
types-urllib3==1.26.25.4
typing_extensions==4.4.0
urllib3==1.26.13
uvicorn==0.20.0
uvloop==0.17.0
virtualenv==20.17.1
watchdog==2.2.0
watchfiles==0.18.1
websocket-client==1.4.2
websockets==10.4
Werkzeug==2.2.2
wheel==0.38.4
wrapt==1.14.1
zipp==3.11.0

Issue description

Numpy 1.24.0 deprecated a number of dtypes:

• https://numpy.org/devdocs/release/1.24.0-notes.html#np-str0-and-similar-are-now-deprecated

But bool8 is still used:

tensorboard/tensorboard/compat/tensorflow_stub/dtypes.py

Line 326 in 145baa4

np.bool8: (False, True),

This leads to DeprecationWarnings being thrown when using this package:

    import tensorflow.lite as tflite
.nox/test-3-10/lib/python3.10/site-packages/tensorflow/__init__.py:51: in <module>
    from ._api.v2 import compat
.nox/test-3-10/lib/python3.10/site-packages/tensorflow/_api/v2/compat/__init__.py:37: in <module>
    from . import v1
.nox/test-3-10/lib/python3.10/site-packages/tensorflow/_api/v2/compat/v1/__init__.py:30: in <module>
    from . import compat
.nox/test-3-10/lib/python3.10/site-packages/tensorflow/_api/v2/compat/v1/compat/__init__.py:38: in <module>
    from . import v2
.nox/test-3-10/lib/python3.10/site-packages/tensorflow/_api/v2/compat/v1/compat/v2/__init__.py:28: in <module>
    from tensorflow._api.v2.compat.v2 import __internal__
.nox/test-3-10/lib/python3.10/site-packages/tensorflow/_api/v2/compat/v2/__init__.py:33: in <module>
    from . import compat
.nox/test-3-10/lib/python3.10/site-packages/tensorflow/_api/v2/compat/v2/compat/__init__.py:38: in <module>
    from . import v2
.nox/test-3-10/lib/python3.10/site-packages/tensorflow/_api/v2/compat/v2/compat/v2/__init__.py:329: in <module>
    from tensorboard.summary._tf import summary
.nox/test-3-10/lib/python3.10/site-packages/tensorboard/summary/__init__.py:22: in <module>
    from tensorboard.summary import v1  # noqa: F401
.nox/test-3-10/lib/python3.10/site-packages/tensorboard/summary/v1.py:23: in <module>
    from tensorboard.plugins.histogram import summary as _histogram_summary
.nox/test-3-10/lib/python3.10/site-packages/tensorboard/plugins/histogram/summary.py:35: in <module>
    from tensorboard.plugins.histogram import summary_v2
.nox/test-3-10/lib/python3.10/site-packages/tensorboard/plugins/histogram/summary_v2.py:35: in <module>
    from tensorboard.util import tensor_util
.nox/test-3-10/lib/python3.10/site-packages/tensorboard/util/tensor_util.py:20: in <module>
    from tensorboard.compat.tensorflow_stub import dtypes, compat, tensor_shape
.nox/test-3-10/lib/python3.10/site-packages/tensorboard/compat/tensorflow_stub/__init__.py:22: in <module>
    from .dtypes import as_dtype  # noqa
.nox/test-3-10/lib/python3.10/site-packages/tensorboard/compat/tensorflow_stub/dtypes.py:326: in <module>
    np.bool8: (False, True),
.nox/test-3-10/lib/python3.10/site-packages/numpy/__init__.py:260: in __getattr__
    warnings.warn(msg, DeprecationWarning, stacklevel=2)
E   DeprecationWarning: `np.bool8` is a deprecated alias for `np.bool_`.  (Deprecated NumPy 1.24)

See also, as an example mitigation:

• Handle new warnings introduced in NumPy 1.24 scikit-image/scikit-image#6637

The suggestion seems to be to replace np.bool8 with np.bool_.

[qihach64]

@johnthagen Thanks for reporting the issue, linking the relevant context and suggesting the solution!

Replacing np.bool8 with np.bool_ makes sense to me.

I will leave this issue open so that we can address this after holidays.