Closed vasanth-intel closed 1 year ago
SKL_Bench_Team1 working on this issue
@lulin789 - i think that this particular can be considered a lower priority. 18.04 is pretty old and probably we can consider just setting newer OS requirements for benchmarks
@lulin789 - i think that this particular can be considered a lower priority. 18.04 is pretty old and probably we can consider just setting newer OS requirements for benchmarks
ok, then we move to working on this issue: https://github.com/IntelPython/scikit-learn_bench/issues/102
Will not be implemented -newer versions of Ubuntu should be used for measurements
Hi,
I am facing below issue while executing
ridge
algorithm on Ubuntu 18.04. Looks like I may not be using the right versions of dependent packages like pandas, numpy, scipy, scikit-learn, scikit-learn-intelex, etc.. I had installed the scikit-learn and the dependent packages using commandpip3 install -r sklearn_bench/requirements.txt
. I have listed the versions installed in my system after the error logs. Would like to know if we have any specific package version requirements for Ubuntu 18.04. Thanks!===============================================================
~/scikit-learn_bench$ python3 runner.py --configs configs/sklearn/performance/ridge.json --output-file results/ridge.json INFO: Datasets folder is not set, using local folder INFO: Config: configs/sklearn/performance/ridge.json INFO: ridge algorithm: 2 case(s), 2 dataset(s)
INFO: python sklearn_bench/ridge.py --arch intel-WilsonCity --data-format pandas --data-order F --dtype float32 --device none --alpha 5 --file-X-train data/synthetic-regression-X-train-10000000x20.npy --file-y-train data/synthetic-regression-y-train-10000000x20.npy --file-X-test data/synthetic-regression-X-train-10000000x20.npy --file-y-test data/synthetic-regression-y-train-10000000x20.npy --dataset-name synthetic_regression
WARNING: Error in benchmark: Traceback (most recent call last): File "sklearn_bench/ridge.py", line 19, in
import bench
File "/home/intel/scikit-learn_bench/bench.py", line 38
raise ValueError(f'Impossible to get data type of {type(data)}')
^
SyntaxError: invalid syntaxCASE sklearn,ridge --data-format pandas --data-order F --dtype float32 --device none --alpha 5 JSON DECODING ERROR:
Expecting value: line 1 column 1 (char 0)
INFO: python sklearn_bench/ridge.py --arch intel-WilsonCity --data-format pandas --data-order F --dtype float64 --device none --alpha 5 --file-X-train data/synthetic-regression-X-train-10000000x20.npy --file-y-train data/synthetic-regression-y-train-10000000x20.npy --file-X-test data/synthetic-regression-X-train-10000000x20.npy --file-y-test data/synthetic-regression-y-train-10000000x20.npy --dataset-name synthetic_regression
WARNING: Error in benchmark: Traceback (most recent call last): File "sklearn_bench/ridge.py", line 19, in
import bench
File "/home/intel/scikit-learn_bench/bench.py", line 38
raise ValueError(f'Impossible to get data type of {type(data)}')
^
SyntaxError: invalid syntaxCASE sklearn,ridge --data-format pandas --data-order F --dtype float64 --device none --alpha 5 JSON DECODING ERROR:
Expecting value: line 1 column 1 (char 0)
INFO: python sklearn_bench/ridge.py --arch intel-WilsonCity --data-format pandas --data-order F --dtype float32 --device none --alpha 5 --file-X-train data/synthetic-regression-X-train-2000000x100.npy --file-y-train data/synthetic-regression-y-train-2000000x100.npy --file-X-test data/synthetic-regression-X-train-2000000x100.npy --file-y-test data/synthetic-regression-y-train-2000000x100.npy --dataset-name synthetic_regression
WARNING: Error in benchmark: Traceback (most recent call last): File "sklearn_bench/ridge.py", line 19, in
import bench
File "/home/intel/scikit-learn_bench/bench.py", line 38
raise ValueError(f'Impossible to get data type of {type(data)}')
^
SyntaxError: invalid syntaxCASE sklearn,ridge --data-format pandas --data-order F --dtype float32 --device none --alpha 5 JSON DECODING ERROR:
Expecting value: line 1 column 1 (char 0)
INFO: python sklearn_bench/ridge.py --arch intel-WilsonCity --data-format pandas --data-order F --dtype float64 --device none --alpha 5 --file-X-train data/synthetic-regression-X-train-2000000x100.npy --file-y-train data/synthetic-regression-y-train-2000000x100.npy --file-X-test data/synthetic-regression-X-train-2000000x100.npy --file-y-test data/synthetic-regression-y-train-2000000x100.npy --dataset-name synthetic_regression
WARNING: Error in benchmark: Traceback (most recent call last): File "sklearn_bench/ridge.py", line 19, in
import bench
File "/home/intel/scikit-learn_bench/bench.py", line 38
raise ValueError(f'Impossible to get data type of {type(data)}')
^
SyntaxError: invalid syntaxCASE sklearn,ridge --data-format pandas --data-order F --dtype float64 --device none --alpha 5 JSON DECODING ERROR:
Expecting value: line 1 column 1 (char 0)
WARNING: benchmark running had runtime errors ~/scikit-learn_bench$
===============================================================
~/scikit-learn_bench$ pip3 list Package Version
alabaster 0.7.12 apipkg 1.4 apturl 0.5.2 asn1crypto 0.24.0 astroid 1.6.0 asv 0.5.1 attrs 21.4.0 Babel 2.11.0 beautifulsoup4 4.6.0 breathe 4.7.3 Brlapi 0.6.6 certifi 2022.6.15 chardet 3.0.4 charset-normalizer 2.0.12 click 6.7 colorama 0.3.7 command-not-found 0.3 commonmark 0.9.1 cryptography 2.1.4 cupshelpers 1.0 daal 2021.5.3 daal4py 2021.5.3 dataclasses 0.8 decorator 4.1.2 defer 1.0.6 distro-info 0.18ubuntu0.18.04.1 docker 5.0.3 docutils 0.18.1 et-xmlfile 1.1.0 execnet 1.4.1 html5lib 0.999999999 httplib2 0.9.2 idna 3.3 imagesize 1.4.1 importlib-metadata 4.8.3 importlib-resources 5.4.0 iniconfig 1.1.1 isort 4.3.4 Jinja2 3.0.3 joblib 1.1.1 keyring 10.6.0 keyrings.alt 3.0 language-selector 0.1 launchpadlib 1.10.6 lazr.restfulclient 0.13.5 lazr.uri 1.0.3 lazy-object-proxy 1.3.1 logilab-common 1.4.1 louis 3.5.0 lxml 4.2.1 macaroonbakery 1.1.3 Mako 1.0.7 MarkupSafe 2.0.1 mccabe 0.6.1 meson 0.56.2 netifaces 0.10.4 numpy 1.19.5 oauth 1.0.1 olefile 0.45.1 openpyxl 3.0.10 packaging 21.3 pandas 1.1.5 pexpect 4.2.1 Pillow 8.4.0 pip 21.3.1 pluggy 1.0.0 prompt-toolkit 1.0.14 protobuf 3.0.0 psutil 5.9.1 py 1.11.0 pycairo 1.16.2 pycrypto 2.6.1 pycups 1.9.73 pyelftools 0.28 Pygments 2.13.0 PyGObject 3.26.1 PyInquirer 1.0.3 pylint 1.8.3 pymacaroons 0.13.0 PyNaCl 1.1.2 pyparsing 3.0.9 pyRFC3339 1.0 pytest 7.0.1 pytest-forked 0.2 pytest-xdist 1.22.1 python-apt 1.6.5+ubuntu0.7 python-dateutil 2.8.2 python-debian 0.1.32 pytz 2018.3 pyxdg 0.25 PyYAML 6.0 recommonmark 0.7.1 regex 2022.8.17 reportlab 3.4.0 requests 2.27.1 requests-unixsocket 0.1.5 roman 2.0.0 scikit-learn 0.24.2 scikit-learn-intelex 2021.5.3 scipy 1.5.4 SecretStorage 2.3.1 setuptools 59.6.0 simplejson 3.13.2 six 1.11.0 snowballstemmer 2.2.0 Sphinx 1.8.0 sphinx-rtd-theme 1.1.1 sphinxcontrib-serializinghtml 1.1.5 sphinxcontrib-websupport 1.2.4 ssh-import-id 5.7 system-service 0.3 systemd-python 234 tbb 2021.8.0 threadpoolctl 3.1.0 toml 0.10.2 tomli 1.2.3 tomli_w 0.4.0 torch 1.10.1 torchvision 0.11.2 tqdm 4.64.1 typing_extensions 4.1.1 ubuntu-drivers-common 0.0.0 ufw 0.36 unattended-upgrades 0.1 urllib3 1.26.10 usb-creator 0.3.3 wadllib 1.3.2 wcwidth 0.2.5 webencodings 0.5 websocket-client 1.3.1 wheel 0.30.0 wrapt 1.9.0 xkit 0.0.0 zipp 3.6.0 zope.interface 4.3.2 ~/scikit-learn_bench$