Caenorst
commented
2 years ago Hi @cpfy From the look at it, my guess is that you've built Kaolin then changed pytorch version. Can you verify?
Closed cpfy closed 2 years ago
Caenorst
commented
2 years ago Hi @cpfy From the look at it, my guess is that you've built Kaolin then changed pytorch version. Can you verify?
cpfy
commented
2 years ago Hi, thanks for the advice!
After I dropped the version of torch from 1.12.0 to 1.11.0 and installed kaolin from git clone and
manually developed . It works well now!
It seems that some dependencies are missing when installing from pip. Unmatched torch version and build order are possible reasons too.
Caenorst
commented
2 years ago Glad you got it working!
I wouldn't recommend to install from pip you will see that our installation guide recommend python setup.py develop for more robust installation.
FavorMylikes
commented
2 years ago @cpfy Could you provide the output of conda list? I wanna check which part is different
cpfy
commented
2 years ago @cpfy Could you provide the output of
conda list? I wanna check which part is different
My code is running on Google Colab and here is only the output of pip list (after installation of kaolin)
Hope it can help you~
Package Version Location
----------------------------- ---------------------------- ------------------------------------------------
absl-py 1.2.0
addict 2.4.0
aiobotocore 2.1.2
aiohttp 3.8.1
aioitertools 0.10.0
aiosignal 1.2.0
alabaster 0.7.12
albumentations 0.1.12
altair 4.2.0
anyio 3.6.1
appdirs 1.4.4
argon2-cffi 21.3.0
argon2-cffi-bindings 21.2.0
arviz 0.12.1
asgiref 3.5.2
astor 0.8.1
astropy 4.3.1
astunparse 1.6.3
async-timeout 4.0.2
asynctest 0.13.0
atari-py 0.2.9
atomicwrites 1.4.1
attrs 21.4.0
audioread 2.1.9
autograd 1.4
Babel 2.10.3
backcall 0.2.0
beautifulsoup4 4.6.3
bleach 5.0.1
blis 0.7.8
bokeh 2.3.3
botocore 1.23.24
branca 0.5.0
bs4 0.0.1
CacheControl 0.12.11
cached-property 1.5.2
cachetools 4.2.4
catalogue 2.0.8
certifi 2022.6.15
cffi 1.15.1
cftime 1.6.1
chardet 3.0.4
charset-normalizer 2.1.0
click 7.1.2
clikit 0.6.2
cloudpickle 1.3.0
cmake 3.22.5
cmdstanpy 1.0.4
colorcet 3.0.0
colorlover 0.3.0
commonmark 0.9.1
community 1.0.0b1
contextlib2 0.5.5
convertdate 2.4.0
coverage 3.7.1
coveralls 0.5
crashtest 0.3.1
crcmod 1.7
croniter 1.3.5
cufflinks 0.17.3
cupy-cuda111 9.4.0
cvxopt 1.2.7
cvxpy 1.0.31
cycler 0.11.0
cymem 2.0.6
Cython 0.29.20
daft 0.0.4
dask 2.12.0
datascience 0.10.6
debugpy 1.0.0
decorator 4.4.2
deepdiff 5.8.1
defusedxml 0.7.1
deprecat 2.1.1
descartes 1.1.0
dill 0.3.5.1
distributed 1.25.3
dlib 19.24.0
dm-tree 0.1.7
dnspython 2.2.1
docopt 0.6.2
docutils 0.17.1
dopamine-rl 1.0.5
earthengine-api 0.1.317
easydict 1.9
ecos 2.0.10
editdistance 0.5.3
email-validator 1.2.1
en-core-web-sm 3.4.0
entrypoints 0.4
ephem 4.1.3
et-xmlfile 1.1.0
etils 0.6.0
fa2 0.3.5
fastai 2.7.7
fastapi 0.79.0
fastcore 1.5.10
fastdownload 0.0.7
fastdtw 0.3.4
fastjsonschema 2.16.1
fastprogress 1.0.3
fastrlock 0.8
feather-format 0.4.1
filelock 3.7.1
firebase-admin 4.4.0
fix-yahoo-finance 0.0.22
Flask 1.1.4
flatbuffers 2.0
folium 0.8.3
frozenlist 1.3.0
fsspec 2022.1.0
future 0.18.2
gast 0.5.3
GDAL 2.2.2
gdown 4.4.0
gensim 3.6.0
geographiclib 1.52
geopy 1.17.0
gin-config 0.5.0
glob2 0.7
google 2.0.3
google-api-core 1.31.6
google-api-python-client 1.12.11
google-auth 1.35.0
google-auth-httplib2 0.0.4
google-auth-oauthlib 0.4.6
google-cloud-bigquery 1.21.0
google-cloud-bigquery-storage 1.1.2
google-cloud-core 1.0.3
google-cloud-datastore 1.8.0
google-cloud-firestore 1.7.0
google-cloud-language 1.2.0
google-cloud-storage 1.18.1
google-cloud-translate 1.5.0
google-colab 1.0.0
google-pasta 0.2.0
google-resumable-media 0.4.1
googleapis-common-protos 1.56.4
googledrivedownloader 0.4
graphviz 0.10.1
greenlet 1.1.2
grpcio 1.47.0
gspread 3.4.2
gspread-dataframe 3.0.8
gym 0.17.3
h11 0.13.0
h5py 3.1.0
HeapDict 1.0.1
hijri-converter 2.2.4
holidays 0.14.2
holoviews 1.14.9
html5lib 1.0.1
httpimport 0.5.18
httplib2 0.17.4
httplib2shim 0.0.3
httpstan 4.6.1
httptools 0.4.0
humanize 0.5.1
hyperopt 0.1.2
idna 2.10
imageio 2.4.1
imagesize 1.4.1
imbalanced-learn 0.8.1
imblearn 0.0
imgaug 0.2.9
importlib-metadata 4.12.0
importlib-resources 5.9.0
imutils 0.5.4
inflect 2.1.0
iniconfig 1.1.1
intel-openmp 2022.1.0
intervaltree 2.1.0
ipykernel 4.10.1
ipython 5.5.0
ipython-genutils 0.2.0
ipython-sql 0.3.9
ipywidgets 7.7.1
itsdangerous 2.1.2
jax 0.3.14
jaxlib 0.3.14+cuda11.cudnn805
jedi 0.18.1
jieba 0.42.1
Jinja2 3.0.3
jmespath 0.10.0
joblib 1.1.0
jpeg4py 0.1.4
jsonschema 4.3.3
jupyter 1.0.0
jupyter-client 5.3.5
jupyter-console 5.2.0
jupyter-core 4.11.1
jupyterlab-pygments 0.2.2
jupyterlab-widgets 1.1.1
kaggle 1.5.12
kaolin 0.11.0 /path/to/kaolin (In Google Drive)
kapre 0.3.7
keras 2.8.0
Keras-Preprocessing 1.1.2
keras-vis 0.4.1
kiwisolver 1.4.4
korean-lunar-calendar 0.2.1
kornia 0.4.1
langcodes 3.3.0
libclang 14.0.1
librosa 0.8.1
lightgbm 2.2.3
lightning 2022.7.31
lightning-cloud 0.5.0
llvmlite 0.34.0
lmdb 0.99
loguru 0.6.0
lpips 0.1.3
LunarCalendar 0.0.9
lxml 4.2.6
Markdown 3.4.1
MarkupSafe 2.0.1
marshmallow 3.17.0
matplotlib 3.2.2
matplotlib-inline 0.1.3
matplotlib-venn 0.11.7
missingno 0.5.1
mistune 0.8.4
mizani 0.6.0
mkl 2019.0
mlxtend 0.14.0
more-itertools 8.13.0
moviepy 0.2.3.5
mpmath 1.2.1
msgpack 1.0.4
multidict 6.0.2
multiprocess 0.70.13
multitasking 0.0.11
murmurhash 1.0.7
music21 5.5.0
natsort 5.5.0
nbclient 0.6.6
nbconvert 5.6.1
nbformat 5.4.0
nest-asyncio 1.5.5
netCDF4 1.6.0
networkx 2.6.3
nibabel 3.0.2
nltk 3.7
notebook 5.3.1
numba 0.51.2
numexpr 2.8.3
numpy 1.21.6
oauth2client 4.1.3
oauthlib 3.2.0
okgrade 0.4.3
open3d 0.12.0
opencv-contrib-python 4.6.0.66
opencv-python 4.6.0.66
openpyxl 3.0.10
opt-einsum 3.3.0
ordered-set 4.1.0
orjson 3.7.10
osqp 0.6.2.post0
packaging 21.3
palettable 3.3.0
pandas 1.3.5
pandas-datareader 0.9.0
pandas-gbq 0.13.3
pandas-profiling 1.4.1
pandocfilters 1.5.0
panel 0.12.1
param 1.12.2
parso 0.8.3
pastel 0.2.1
pathlib 1.0.1
pathy 0.6.2
patsy 0.5.2
pep517 0.12.0
pexpect 4.8.0
pickleshare 0.7.5
Pillow 7.1.2
pip 21.1.3
pip-tools 6.2.0
plotly 5.5.0
plotnine 0.6.0
pluggy 0.7.1
plyfile 0.7.4
pooch 1.6.0
portpicker 1.3.9
prefetch-generator 1.0.1
preshed 3.0.6
prettytable 3.3.0
progressbar2 3.38.0
prometheus-client 0.14.1
promise 2.3
prompt-toolkit 1.0.18
prophet 1.1
protobuf 3.17.3
psutil 5.4.8
psycopg2 2.7.6.1
ptyprocess 0.7.0
py 1.11.0
pyarrow 6.0.1
pyasn1 0.4.8
pyasn1-modules 0.2.8
pycocotools 2.0.4
pycparser 2.21
pyct 0.4.8
pydantic 1.9.1
pydata-google-auth 1.4.0
pyDeprecate 0.3.1
pydot 1.3.0
pydot-ng 2.0.0
pydotplus 2.0.2
PyDrive 1.3.1
pyemd 0.5.1
pyerfa 2.0.0.1
pyglet 1.5.0
Pygments 2.6.1
pygobject 3.26.1
PyJWT 2.4.0
pylev 1.4.0
pymc3 3.11.5
PyMeeus 0.5.11
pymongo 4.2.0
pymystem3 0.2.0
PyOpenGL 3.1.6
pyparsing 3.0.9
pyrsistent 0.18.1
pysimdjson 3.2.0
pysndfile 1.3.8
PySocks 1.7.1
pystan 3.3.0
pytest 3.6.4
python-apt 0.0.0
python-chess 0.23.11
python-dateutil 2.8.2
python-dotenv 0.20.0
python-louvain 0.16
python-multipart 0.0.5
python-slugify 6.1.2
python-utils 3.3.3
pytorch-lightning 1.4.8
pytorch-ranger 0.1.1
pytz 2022.1
pyviz-comms 2.2.0
PyWavelets 1.3.0
PyYAML 6.0
pyzmq 23.2.0
qdldl 0.1.5.post2
qtconsole 5.3.1
QtPy 2.1.0
regex 2022.6.2
requests 2.23.0
requests-oauthlib 1.3.1
resampy 0.3.1
rich 12.5.1
rpy2 3.4.5
rsa 4.9
s3fs 2022.1.0
scikit-image 0.18.3
scikit-learn 1.0.2
scipy 1.7.3
screen-resolution-extra 0.0.0
scs 3.2.0
seaborn 0.11.2
semver 2.13.0
Send2Trash 1.8.0
setuptools 57.4.0
setuptools-git 1.2
Shapely 1.8.2
simplegeneric 0.8.1
six 1.15.0
sklearn 0.0
sklearn-pandas 1.8.0
smart-open 5.2.1
sniffio 1.2.0
snowballstemmer 2.2.0
sortedcontainers 2.4.0
SoundFile 0.10.3.post1
soupsieve 2.3.2.post1
spacy 3.4.1
spacy-legacy 3.0.9
spacy-loggers 1.0.3
Sphinx 1.8.6
sphinxcontrib-serializinghtml 1.1.5
sphinxcontrib-websupport 1.2.4
SQLAlchemy 1.4.39
sqlparse 0.4.2
srsly 2.4.4
starlette 0.19.1
starsessions 1.2.3
statsmodels 0.10.2
sympy 1.7.1
tables 3.7.0
tabulate 0.8.10
tblib 1.7.0
tenacity 8.0.1
tensorboard 2.8.0
tensorboard-data-server 0.6.1
tensorboard-plugin-wit 1.8.1
tensorflow 2.8.2+zzzcolab20220719082949
tensorflow-datasets 4.0.1
tensorflow-estimator 2.8.0
tensorflow-gcs-config 2.8.0
tensorflow-hub 0.12.0
tensorflow-io-gcs-filesystem 0.26.0
tensorflow-metadata 1.9.0
tensorflow-probability 0.16.0
termcolor 1.1.0
terminado 0.13.3
test-tube 0.7.5
testpath 0.6.0
text-unidecode 1.3
textblob 0.15.3
Theano-PyMC 1.1.2
thinc 8.1.0
threadpoolctl 3.1.0
tifffile 2021.11.2
tinycss2 1.1.1
tomli 2.0.1
toolz 0.12.0
torch 1.12.0+cu113
torch-optimizer 0.3.0
torchaudio 0.12.0+cu113
torchmetrics 0.7.0
torchsummary 1.5.1
torchtext 0.13.0
torchvision 0.13.0+cu113
tornado 5.1
tqdm 4.64.0
traitlets 5.1.1
trimesh 3.9.1
tweepy 3.10.0
typeguard 2.7.1
typer 0.4.2
typing-extensions 4.1.1
tzlocal 1.5.1
ujson 5.4.0
uritemplate 3.0.1
urllib3 1.25.11
usd-core 22.5.post1
uvicorn 0.17.6
uvloop 0.16.0
vega-datasets 0.9.0
wasabi 0.9.1
watchgod 0.8.2
wcwidth 0.2.5
webargs 8.2.0
webencodings 0.5.1
websocket-client 1.3.3
websockets 10.3
Werkzeug 1.0.1
wheel 0.37.1
widgetsnbextension 3.6.1
wordcloud 1.5.0
wrapt 1.14.1
xarray 0.20.2
xarray-einstats 0.2.2
xgboost 0.90
xkit 0.0.0
xlrd 1.1.0
xlwt 1.3.0
yacs 0.1.8
yarl 1.7.2
yellowbrick 1.4
zict 2.2.0
zipp 3.8.1I've solved it, it needs nvcc as required
gushengbo
commented
1 year ago I've solved it, it needs
nvccas required
@FavorMylikes hello, could you tell me how to know whether I have nvcc?
FavorMylikes
commented
1 year ago I've solved it, it needs
nvccas required@FavorMylikes hello, could you tell me how to know whether I have nvcc?
@gushengbo
~> nvcc -V (kaolin)
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2021 NVIDIA Corporation
Built on Wed_Jun__2_19:15:15_PDT_2021
Cuda compilation tools, release 11.4, V11.4.48
Build cuda_11.4.r11.4/compiler.30033411_0@FavorMylikes I am a non-root in the cluster, so when I input nvcc -V, there is no command name"nvcc". That means I don't have nvcc or I don't have access
cpfy
commented
1 year ago @FavorMylikes I am a non-root in the cluster, so when I input nvcc -V, there is no command name"nvcc". That means I don't have nvcc or I don't have access
Are you running the code on Colab or Linux server?
Colab should automatically install and configure the cuda-related environment, and you don't need to worry about it.
If it is on a Linux server. Maybe you can check if there is nvcc file under folder /usr/local/cuda/bin. My guess is that you may not have configured environment variables for CUDA and you need to add this dir to your $PATH.
gushengbo
commented
1 year ago 1.kaolin/csrc/ops/conversions/unbatched mcube/unbatched mcube cuda.cu(659):error: morehan one instance of overloaded function "log2" matches the argument list:function "og2( double)"function "log2( float )"argument types are: ( int ) kaolin/csrc/ops/conversions/unbatched mcube/unbatched mcube cuda.cu(660): error: morehan one instance of overloaded function "log2" matches the arqument list:function "loa2( double)"function "Tog2( float)"argument types are: ( int ) kaolin/csrc/ops/conversions/unbatched mcube/unbatched mcube cuda.cu(661): error: more than one instance of overloaded function "log2" matches the argument list:function "og2(double)"function "log2( float )"argument types are: ( int) 3 errors detected in the compilation of "/tmp/tmpxft 00004231 00000000-6 unbatched mcube cuda.cpp1.ii"error: command '/usr/local/cuda/bin/nvcc' failed with exit code 1
2.kaolin/csrc/ops/conversions/mesh to spc/mesh_to_spc_cuda.cu:21:10: fatal error: cub/device/device_scan.cuh: No such file or directory
error: compilation terminated.
@cpfy yesh, it is on a Linux server. Above are two errors I made when installing. It seems to be I have no nvcc?
cpfy
commented
1 year ago @gushengbo Yes, that's my guess too. If there is already cuda or cuda-X.Y folder in the usr/local directory, it is probably not configured correctly, otherwise you need to install it first
gushengbo
commented
1 year ago @cpfy, ok, thank you. I will have a try!
gushengbo
commented
1 year ago @cpfy, I was able to download it offline(kaolin0.11.0). But when I was executing the program, there was a bug. File "/home/shengbo/ICON-master/lib/net/HGPIFuNet.py",Tine 307,in querypoint feat out = point feat extractor.query(File "/home/shengbo/ICON-master/lib/dataset/PointFeat.py", ine 44，in queryresidues, pts ind,= point to mesh distance( points, self.triangles )File "/home/shengbo/anaconda3/envs/icon/lib/python3.8/site-packages/kaolin/metr ics/tr iangleme.line 75, in point to mesh distancecur dist, cur face idx, cur dist type = UnbatchedTriangleDistanceCuda.apply(File "/home/shengbo/anaconda3/envs/ icon/lib/python3.8/site-packages/kaolin/metrics/triangleme.line 119，in forward C.metrics.unbatched triangle distance forward cudau( timeError: CUDA error: initialization error
That's probably due to nvcc, right?
cpfy
commented
1 year ago Yeah, I think so.
Also you need to strictly refer to the documentation to install kaolin: https://kaolin.readthedocs.io/en/latest/notes/installation.html
gushengbo
commented
1 year ago OK, thank you !
I received ImportError while importing kaolin in Colab. And my question is similar to Issue #363. But it has another kind of 'undefined symbol' error info. This may be an issue with input data format or due to features of kaolin? Anybody can help me here? Thanks.
Here is the details: