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LiDan456 / MAD-GANs

Applied generative adversarial networks (GANs) to do anomaly detection for time series data
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Excuse me, what are the environmental requirements of this project? #21

Open luckyStarForever opened 3 years ago

luckyStarForever commented 3 years ago

What are the requirements for the code project environment of this program example? My engineering environment is as follows:

absl-py @ file:///C:/ci/absl-py_1615411229697/work argon2-cffi @ file:///C:/ci/argon2-cffi_1613037959010/work astunparse==1.6.3 async-generator @ file:///home/ktietz/src/ci/async_generator_1611927993394/work attrs @ file:///tmp/build/80754af9/attrs_1620827162558/work backcall @ file:///home/ktietz/src/ci/backcall_1611930011877/work bleach @ file:///tmp/build/80754af9/bleach_1612211392645/work blinker==1.4 Bottleneck==1.3.2 brotlipy==0.7.0 cachetools @ file:///tmp/build/80754af9/cachetools_1619597386817/work certifi==2021.5.30 cffi @ file:///C:/ci/cffi_1613247279197/work chardet @ file:///C:/ci/chardet_1607690654534/work click @ file:///tmp/build/80754af9/click_1620867881259/work colorama @ file:///tmp/build/80754af9/colorama_1607707115595/work cryptography @ file:///C:/ci/cryptography_1616769344312/work decorator @ file:///tmp/build/80754af9/decorator_1621259047763/work defusedxml @ file:///tmp/build/80754af9/defusedxml_1615228127516/work entrypoints==0.3 gast @ file:///tmp/build/80754af9/gast_1597433534803/work google-auth @ file:///tmp/build/80754af9/google-auth_1600960338579/work google-auth-oauthlib @ file:///tmp/build/80754af9/google-auth-oauthlib_1617120569401/work google-pasta==0.2.0 grpcio @ file:///C:/ci/grpcio_1613114363102/work h5py==2.10.0 idna @ file:///home/linux1/recipes/ci/idna_1610986105248/work importlib-metadata @ file:///C:/ci/importlib-metadata_1617877484576/work ipykernel @ file:///C:/ci/ipykernel_1596190155316/work/dist/ipykernel-5.3.4-py3-none-any.whl ipython @ file:///C:/ci/ipython_1617121002983/work ipython-genutils @ file:///tmp/build/80754af9/ipython_genutils_1606773439826/work ipywidgets @ file:///tmp/build/80754af9/ipywidgets_1610481889018/work jedi==0.17.0 Jinja2 @ file:///tmp/build/80754af9/jinja2_1621238361758/work jsonschema @ file:///tmp/build/80754af9/jsonschema_1602607155483/work jupyter==1.0.0 jupyter-client @ file:///tmp/build/80754af9/jupyter_client_1616770841739/work jupyter-console @ file:///tmp/build/80754af9/jupyter_console_1616615302928/work jupyter-core @ file:///C:/ci/jupyter_core_1612213356021/work jupyterlab-pygments @ file:///tmp/build/80754af9/jupyterlab_pygments_1601490720602/work jupyterlab-widgets @ file:///tmp/build/80754af9/jupyterlab_widgets_1609884341231/work Keras-Applications @ file:///tmp/build/80754af9/keras-applications_1594366238411/work Keras-Preprocessing @ file:///tmp/build/80754af9/keras-preprocessing_1612283640596/work Markdown @ file:///C:/ci/markdown_1614364121613/work MarkupSafe @ file:///C:/ci/markupsafe_1620985253985/work mistune==0.8.4 mkl-fft==1.3.0 mkl-random @ file:///C:/ci/mkl_random_1618854156666/work mkl-service==2.3.0 nbclient @ file:///tmp/build/80754af9/nbclient_1614364831625/work nbconvert @ file:///C:/ci/nbconvert_1601914925608/work nbformat @ file:///tmp/build/80754af9/nbformat_1617383369282/work nest-asyncio @ file:///tmp/build/80754af9/nest-asyncio_1613680548246/work notebook @ file:///C:/ci/notebook_1616443715883/work numexpr @ file:///C:/ci/numexpr_1618856738664/work numpy @ file:///C:/ci/numpy_and_numpy_base_1620833114945/work oauthlib==3.1.0 opt-einsum==3.1.0 packaging @ file:///tmp/build/80754af9/packaging_1611952188834/work pandas @ file:///C:/ci/pandas_1627570330330/work pandocfilters @ file:///C:/ci/pandocfilters_1605102497129/work parso @ file:///tmp/build/80754af9/parso_1617223946239/work pickleshare @ file:///tmp/build/80754af9/pickleshare_1606932040724/work prometheus-client @ file:///tmp/build/80754af9/prometheus_client_1618088486455/work prompt-toolkit @ file:///tmp/build/80754af9/prompt-toolkit_1616415428029/work protobuf==3.14.0 pyasn1==0.4.8 pyasn1-modules==0.2.8 pycparser @ file:///tmp/build/80754af9/pycparser_1594388511720/work Pygments @ file:///tmp/build/80754af9/pygments_1615143339740/work PyJWT==1.7.1 pyOpenSSL @ file:///tmp/build/80754af9/pyopenssl_1608057966937/work pyparsing @ file:///home/linux1/recipes/ci/pyparsing_1610983426697/work pyreadline==2.1 pyrsistent @ file:///C:/ci/pyrsistent_1600141795814/work PySocks @ file:///C:/ci/pysocks_1605287845585/work python-dateutil @ file:///home/ktietz/src/ci/python-dateutil_1611928101742/work pytz @ file:///tmp/build/80754af9/pytz_1612215392582/work pywin32==227 pywinpty==0.5.7 pyzmq==20.0.0 qtconsole==4.6.0 requests @ file:///tmp/build/80754af9/requests_1608241421344/work requests-oauthlib==1.3.0 rsa @ file:///tmp/build/80754af9/rsa_1614366226499/work scipy @ file:///C:/ci/scipy_1618856128765/work Send2Trash @ file:///tmp/build/80754af9/send2trash_1607525499227/work sip==4.19.13 six @ file:///C:/ci/six_1605187374963/work tensorboard @ file:///home/builder/ktietz/aggregate/tensorflow_recipes/ci_te/tensorboard_1614593728657/work/tmp_pip_dir tensorboard-plugin-wit==1.6.0 tensorflow==2.3.0 tensorflow-estimator @ file:///tmp/build/80754af9/tensorflow-estimator_1599136169057/work/whl_temp/tensorflow_estimator-2.3.0-py2.py3-none-any.whl termcolor==1.1.0 terminado==0.9.4 testpath @ file:///home/ktietz/src/ci/testpath_1611930608132/work tornado @ file:///C:/ci/tornado_1606942392901/work traitlets @ file:///home/ktietz/src/ci/traitlets_1611929699868/work urllib3 @ file:///tmp/build/80754af9/urllib3_1615837158687/work wcwidth @ file:///tmp/build/80754af9/wcwidth_1593447189090/work webencodings==0.5.1 Werkzeug @ file:///home/ktietz/src/ci/werkzeug_1611932622770/work widgetsnbextension==3.5.1 win-inet-pton @ file:///C:/ci/win_inet_pton_1605306167264/work wincertstore==0.2 wrapt==1.12.1 zipp @ file:///tmp/build/80754af9/zipp_1615904174917/work

However, the running code reports the following error: D:\ProgramData\Anaconda3\envs\tensorflow1\python.exe E:/code/MAD-GANs-master/RGAN.py Traceback (most recent call last): File "E:/code/MAD-GANs-master/RGAN.py", line 9, in import data_utils File "E:\code\MAD-GANs-master\data_utils.py", line 9, in import model File "E:\code\MAD-GANs-master\model.py", line 14, in from differential_privacy.dp_sgd.dp_optimizer import dp_optimizer File "E:\code\MAD-GANs-master\differential_privacy\dp_sgd\dp_optimizer\dp_optimizer.py", line 30, in class DPGradientDescentOptimizer(tf.train.GradientDescentOptimizer): AttributeError: module 'tensorflow._api.v2.train' has no attribute 'GradientDescentOptimizer'

Process finished with exit code 1

Please help solve it.

You can also run commands in the project environment:

pip freeze > D:\requirements.txt

Please share the requirements.txt content. Thank you very much!

Adapter525 commented 2 years ago

have you suceed ?can you share your requirements?thank you 。

luckyStarForever commented 2 years ago

I'm sorry，I try some requirements but I haven't suceed.

At 2021-11-17 11:49:06, "Adapter525" @.***> wrote:

have you suceed ?can you share your requirements?thank you 。

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GPla commented 2 years ago

Please refrain from spamming under unrelated issues.

So about your problem, you are using tensorflow==2.3.0 while this code was written in tensorflow==1.x.x which is likely the cause for you issue. So you can try out the last v1 release tensorflow==1.15.0. As this is based on RGAN, you can check out their requirement.txt as well.