lightweight_mmm
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20 hours ago •
google
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NumbaWarning: Compilation is falling back to object mode WITH looplifting enabled because Function "histogram" failed type inference due to: non-precise type pyobject During: typing of argument at /usr/local/lib/python3.10/dist-packages/arviz/stats/density_utils.py (979)
trafficstars
I am using lightweight_mmm on my colab and when I call
plot.plot_media_channel_posteriors(media_mix_model=mmm,
channel_names=media_cols)
It returns the following Warning:
/usr/local/lib/python3.10/dist-packages/arviz/stats/density_utils.py:957: NumbaWarning:
Compilation is falling back to object mode WITH looplifting enabled because Function "histogram" failed type inference due to: non-precise type pyobject
During: typing of argument at /usr/local/lib/python3.10/dist-packages/arviz/stats/density_utils.py (979)
File "../usr/local/lib/python3.10/dist-packages/arviz/stats/density_utils.py", line 979:
def histogram(data, bins, range_hist=None):
<source elided>
"""
hist, bin_edges = np.histogram(data, bins=bins, range=range_hist)
^
Why this warning message?
Looking at numba doc it seems related to that:
The numba.jit decorator has for a long time followed the behaviour of first attempting to compile the decorated function in nopython mode and should this compilation fail it will fall-back and try again to compile but this time in object mode. It it this fall-back behaviour which is being deprecated, the result of which will be that numba.jit will by default compile in nopython mode and object mode compilation will become opt-in only.
Note
It is relatively common for the numba.jit decorator to be used within other decorators to provide an easy path to compilation. Due to this change, deprecation warnings may be raised from such call sites. To avoid these warnings, it’s recommended to either suppress them if the application does not rely on object mode fall-back or to check the documentation for the decorator to see how to pass application appropriate options through to the wrapped numba.jit decorator. An example of this within the Numba API would be numba.vectorize. This decorator simply forwards keyword arguments to the internal numba.jit decorator call site such that e.g. @vectorize(nopython=True) would be an appropriate declaration for a nopython=True mode use of @vectorize.
But is no 100% clear to me what issue araises between numba.jit decorators and others.
This is the package list by default in Colab:
Package Version
----------------------------- --------------------
absl-py 1.4.0
alabaster 0.7.13
albumentations 1.2.1
altair 4.2.2
anyio 3.6.2
appdirs 1.4.4
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
arviz 0.15.1
astropy 5.2.2
astunparse 1.6.3
attrs 23.1.0
audioread 3.0.0
autograd 1.5
Babel 2.12.1
backcall 0.2.0
beautifulsoup4 4.11.2
bleach 6.0.0
blis 0.7.9
blosc2 2.0.0
bokeh 2.4.3
branca 0.6.0
CacheControl 0.12.11
cached-property 1.5.2
cachetools 5.3.0
catalogue 2.0.8
certifi 2022.12.7
cffi 1.15.1
chardet 4.0.0
charset-normalizer 2.0.12
chex 0.1.7
click 8.1.3
cloudpickle 2.2.1
cmake 3.25.2
cmdstanpy 1.1.0
colorcet 3.0.1
colorlover 0.3.0
community 1.0.0b1
confection 0.0.4
cons 0.4.5
contextlib2 0.6.0.post1
contourpy 1.0.7
convertdate 2.4.0
cryptography 40.0.2
cufflinks 0.17.3
cvxopt 1.3.0
cvxpy 1.3.1
cycler 0.11.0
cymem 2.0.7
Cython 0.29.34
dask 2022.12.1
datascience 0.17.6
db-dtypes 1.1.1
dbus-python 1.2.16
debugpy 1.6.6
decorator 4.4.2
defusedxml 0.7.1
distributed 2022.12.1
dlib 19.24.1
dm-tree 0.1.8
docutils 0.16
dopamine-rl 4.0.6
duckdb 0.7.1
earthengine-api 0.1.350
easydict 1.10
ecos 2.0.12
editdistance 0.6.2
en-core-web-sm 3.5.0
entrypoints 0.4
ephem 4.1.4
et-xmlfile 1.1.0
etils 1.2.0
etuples 0.3.8
exceptiongroup 1.1.1
fastai 2.7.12
fastcore 1.5.29
fastdownload 0.0.7
fastjsonschema 2.16.3
fastprogress 1.0.3
fastrlock 0.8.1
filelock 3.12.0
firebase-admin 5.3.0
Flask 2.2.4
flatbuffers 23.3.3
flax 0.6.9
folium 0.14.0
fonttools 4.39.3
frozendict 2.3.7
fsspec 2023.4.0
future 0.18.3
gast 0.4.0
GDAL 3.3.2
gdown 4.6.6
gensim 4.3.1
geographiclib 2.0
geopy 2.3.0
gin-config 0.5.0
glob2 0.7
google 2.0.3
google-api-core 2.11.0
google-api-python-client 2.84.0
google-auth 2.17.3
google-auth-httplib2 0.1.0
google-auth-oauthlib 1.0.0
google-cloud-bigquery 3.9.0
google-cloud-bigquery-storage 2.19.1
google-cloud-core 2.3.2
google-cloud-datastore 2.15.1
google-cloud-firestore 2.11.0
google-cloud-language 2.9.1
google-cloud-storage 2.8.0
google-cloud-translate 3.11.1
google-colab 1.0.0
google-crc32c 1.5.0
google-pasta 0.2.0
google-resumable-media 2.5.0
googleapis-common-protos 1.59.0
googledrivedownloader 0.4
graphviz 0.20.1
greenlet 2.0.2
grpcio 1.54.0
grpcio-status 1.48.2
gspread 3.4.2
gspread-dataframe 3.0.8
gym 0.25.2
gym-notices 0.0.8
h5netcdf 1.1.0
h5py 3.8.0
hijri-converter 2.3.1
holidays 0.23
holoviews 1.15.4
html5lib 1.1
httpimport 1.3.0
httplib2 0.21.0
humanize 4.6.0
hyperopt 0.2.7
idna 3.4
imageio 2.25.1
imageio-ffmpeg 0.4.8
imagesize 1.4.1
imbalanced-learn 0.10.1
imgaug 0.4.0
immutabledict 2.2.4
importlib-resources 5.12.0
imutils 0.5.4
inflect 6.0.4
iniconfig 2.0.0
intel-openmp 2023.1.0
ipykernel 5.5.6
ipython 7.34.0
ipython-genutils 0.2.0
ipython-sql 0.4.1
ipywidgets 7.7.1
itsdangerous 2.1.2
jax 0.4.8
jaxlib 0.4.7+cuda11.cudnn86
jieba 0.42.1
Jinja2 3.1.2
joblib 1.2.0
jsonpickle 3.0.1
jsonschema 4.3.3
jupyter-client 6.1.12
jupyter-console 6.1.0
jupyter_core 5.3.0
jupyter-server 1.24.0
jupyterlab-pygments 0.2.2
jupyterlab-widgets 3.0.7
kaggle 1.5.13
keras 2.12.0
kiwisolver 1.4.4
korean-lunar-calendar 0.3.1
langcodes 3.3.0
lazy_loader 0.2
libclang 16.0.0
librosa 0.10.0.post2
lightgbm 3.3.5
lightweight-mmm 0.1.8
lit 16.0.2
llvmlite 0.39.1
locket 1.0.0
logical-unification 0.4.5
LunarCalendar 0.0.9
lxml 4.9.2
Markdown 3.4.3
markdown-it-py 2.2.0
MarkupSafe 2.1.2
matplotlib 3.6.1
matplotlib-inline 0.1.6
matplotlib-venn 0.11.9
mdurl 0.1.2
miniKanren 1.0.3
missingno 0.5.2
mistune 0.8.4
mizani 0.8.1
mkl 2019.0
ml-dtypes 0.1.0
mlxtend 0.14.0
more-itertools 9.1.0
moviepy 1.0.3
mpmath 1.3.0
msgpack 1.0.5
multipledispatch 0.6.0
multitasking 0.0.11
murmurhash 1.0.9
music21 8.1.0
natsort 8.3.1
nbclient 0.7.4
nbconvert 6.5.4
nbformat 5.8.0
nest-asyncio 1.5.6
networkx 3.1
nibabel 3.0.2
nltk 3.8.1
notebook 6.4.8
numba 0.56.4
numexpr 2.8.4
numpy 1.23.0
numpyro 0.11.0
oauth2client 4.1.3
oauthlib 3.2.2
opencv-contrib-python 4.7.0.72
opencv-python 4.7.0.72
opencv-python-headless 4.7.0.72
openpyxl 3.0.10
opt-einsum 3.3.0
optax 0.1.5
orbax-checkpoint 0.2.1
osqp 0.6.2.post8
packaging 23.1
palettable 3.3.3
pandas 1.5.3
pandas-datareader 0.10.0
pandas-gbq 0.17.9
pandocfilters 1.5.0
panel 0.14.4
param 1.13.0
parso 0.8.3
partd 1.4.0
pathlib 1.0.1
pathy 0.10.1
patsy 0.5.3
pep517 0.13.0
pexpect 4.8.0
pickleshare 0.7.5
Pillow 8.4.0
pip 23.0.1
pip-tools 6.6.2
platformdirs 3.3.0
plotly 5.13.1
plotnine 0.10.1
pluggy 1.0.0
polars 0.17.3
pooch 1.6.0
portpicker 1.3.9
prefetch-generator 1.0.3
preshed 3.0.8
prettytable 0.7.2
proglog 0.1.10
progressbar2 4.2.0
prometheus-client 0.16.0
promise 2.3
prompt-toolkit 3.0.38
prophet 1.1.2
proto-plus 1.22.2
protobuf 3.20.3
psutil 5.9.5
psycopg2 2.9.6
ptyprocess 0.7.0
py-cpuinfo 9.0.0
py4j 0.10.9.7
pyarrow 9.0.0
pyasn1 0.5.0
pyasn1-modules 0.3.0
pycocotools 2.0.6
pycparser 2.21
pyct 0.5.0
pydantic 1.10.7
pydata-google-auth 1.7.0
pydot 1.4.2
pydot-ng 2.0.0
pydotplus 2.0.2
PyDrive 1.3.1
pyerfa 2.0.0.3
pygame 2.3.0
Pygments 2.14.0
PyGObject 3.36.0
pymc 5.1.2
PyMeeus 0.5.12
pymystem3 0.2.0
PyOpenGL 3.1.6
pyparsing 3.0.9
pyrsistent 0.19.3
PySocks 1.7.1
pytensor 2.10.1
pytest 7.2.2
python-apt 0.0.0
python-dateutil 2.8.2
python-louvain 0.16
python-slugify 8.0.1
python-utils 3.5.2
pytz 2022.7.1
pytz-deprecation-shim 0.1.0.post0
pyviz-comms 2.2.1
PyWavelets 1.4.1
PyYAML 6.0
pyzmq 23.2.1
qdldl 0.1.7
qudida 0.0.4
regex 2022.10.31
requests 2.27.1
requests-oauthlib 1.3.1
requests-unixsocket 0.2.0
rich 13.3.4
rpy2 3.5.5
rsa 4.9
scikit-image 0.19.3
scikit-learn 1.2.2
scipy 1.10.1
scs 3.2.3
seaborn 0.11.1
Send2Trash 1.8.0
setuptools 67.7.2
shapely 2.0.1
six 1.16.0
sklearn-pandas 2.2.0
smart-open 6.3.0
sniffio 1.3.0
snowballstemmer 2.2.0
sortedcontainers 2.4.0
soundfile 0.12.1
soupsieve 2.4.1
soxr 0.3.5
spacy 3.5.2
spacy-legacy 3.0.12
spacy-loggers 1.0.4
Sphinx 3.5.4
sphinxcontrib-applehelp 1.0.4
sphinxcontrib-devhelp 1.0.2
sphinxcontrib-htmlhelp 2.0.1
sphinxcontrib-jsmath 1.0.1
sphinxcontrib-qthelp 1.0.3
sphinxcontrib-serializinghtml 1.1.5
SQLAlchemy 2.0.10
sqlparse 0.4.4
srsly 2.4.6
statsmodels 0.13.5
sympy 1.11.1
tables 3.8.0
tabulate 0.8.10
tblib 1.7.0
tenacity 8.2.2
tensorboard 2.12.2
tensorboard-data-server 0.7.0
tensorboard-plugin-wit 1.8.1
tensorflow 2.12.0
tensorflow-datasets 4.8.3
tensorflow-estimator 2.12.0
tensorflow-gcs-config 2.12.0
tensorflow-hub 0.13.0
tensorflow-io-gcs-filesystem 0.32.0
tensorflow-metadata 1.13.1
tensorflow-probability 0.19.0
tensorstore 0.1.36
termcolor 2.3.0
terminado 0.17.1
text-unidecode 1.3
textblob 0.17.1
tf-slim 1.1.0
thinc 8.1.9
threadpoolctl 3.1.0
tifffile 2023.4.12
tinycss2 1.2.1
toml 0.10.2
tomli 2.0.1
toolz 0.12.0
torch 2.0.0+cu118
torchaudio 2.0.1+cu118
torchdata 0.6.0
torchsummary 1.5.1
torchtext 0.15.1
torchvision 0.15.1+cu118
tornado 6.2
tqdm 4.65.0
traitlets 5.7.1
triton 2.0.0
tweepy 4.13.0
typer 0.7.0
typing_extensions 4.5.0
tzdata 2023.3
tzlocal 4.3
uritemplate 4.1.1
urllib3 1.26.15
vega-datasets 0.9.0
wasabi 1.1.1
wcwidth 0.2.6
webcolors 1.13
webencodings 0.5.1
websocket-client 1.5.1
Werkzeug 2.3.0
wheel 0.40.0
widgetsnbextension 3.6.4
wordcloud 1.8.2.2
wrapt 1.14.1
xarray 2022.12.0
xarray-einstats 0.5.1
xgboost 1.7.5
xlrd 2.0.1
yellowbrick 1.5
yfinance 0.2.18
zict 3.0.0
zipp 3.15.0
