Open romainGuiet opened 4 months ago
Hi @ksugar ,
I'm trying to install elephant-server on my Windows11-WSL2 ( Ubuntu 22.04.2 LTS (GNU/Linux 5.15.133.1-microsoft-standard-WSL2 x86_64) , NVIDIA-SMI 550.40.06 , Driver Version: 551.23 , CUDA Version: 12.4)
I followed these steps:
git clone https://github.com/elephant-track/elephant-server.git
...\elephant-server>docker build .
604.1 Finished sqlalchemy (00m:00s) 2 MB 60 KB/s 604.1 Finished jxrlib (00m:01s) 238 KB 6 KB/s 604.1 Finished cytoolz (00m:01s) 367 KB 9 KB/s 604.1 Finished opt_einsum (00m:00s) 57 KB 1 KB/s 604.1 Finished numcodecs error Error opening for reading "/opt/conda/pkgs/aiohttp-3.8.1-py37h7f8727e_0.tar.bz2": No such file or directory 604.7 error File not valid: SHA256 sum doesn't match expectation "/opt/conda/pkgs/aiohttp-3.8.1-py37h7f8727e_0.tar.bz2" 604.7 Expected: af6a922ddc47ce9becd9bf24cad6e3588521e0cd1b5e849bf13c31630f1781d0 604.7 Actual: e3b0c44298fc1c149afbf4c8996fb92427ae41e4649b934ca495991b7852b855 604.7 802.4 802.4 # >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<< 802.4 802.4 Traceback (most recent call last): 802.4 File "/opt/conda/lib/python3.7/site-packages/conda/exceptions.py", line 1082, in __call__ 802.4 return func(*args, **kwargs) 802.4 File "/opt/conda/lib/python3.7/site-packages/conda_env/cli/main.py", line 80, in do_call 802.4 exit_code = getattr(module, func_name)(args, parser) 802.4 File "/opt/conda/lib/python3.7/site-packages/conda_env/cli/main_update.py", line 126, in execute 802.4 result[installer_type] = installer.install(prefix, specs, args, env) 802.4 File "/opt/conda/lib/python3.7/site-packages/mamba/mamba_env.py", line 124, in mamba_install 802.4 downloaded = transaction.prompt(repos) 802.4 RuntimeError: Found incorrect download: aiohttp. Aborting 802.4 802.4 `$ /opt/conda/condabin/mamba update -f /tmp/environment.yml` 802.4 802.4 environment variables: 802.4 CIO_TEST=<not set> 802.4 CONDA_AUTO_UPDATE_CONDA=false 802.4 CONDA_EXE=/opt/conda/bin/conda 802.4 CONDA_PYTHON_EXE=/opt/conda/bin/python 802.4 CONDA_ROOT=/opt/conda 802.4 CONDA_SHLVL=0 802.4 CURL_CA_BUNDLE=<not set> 802.4 LD_LIBRARY_PATH=/usr/local/nvidia/lib:/usr/local/nvidia/lib64 802.4 PATH=/opt/conda/condabin:/opt/conda/bin:/usr/local/nvidia/bin:/usr/local/cu 802.4 da/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin 802.4 REQUESTS_CA_BUNDLE=<not set> 802.4 SSL_CERT_FILE=<not set> 802.4 802.4 active environment : None 802.4 shell level : 0 802.4 user config file : /root/.condarc 802.4 populated config files : 802.4 conda version : 4.12.0 802.4 conda-build version : not installed 802.4 python version : 3.7.11.final.0 802.4 virtual packages : __linux=5.15.133.1=0 802.4 __glibc=2.31=0 802.4 __unix=0=0 802.4 __archspec=1=x86_64 802.4 base environment : /opt/conda (writable) 802.4 conda av data dir : /opt/conda/etc/conda 802.4 conda av metadata url : None 802.4 channel URLs : https://repo.anaconda.com/pkgs/main/linux-64 802.4 https://repo.anaconda.com/pkgs/main/noarch 802.4 https://repo.anaconda.com/pkgs/r/linux-64 802.4 https://repo.anaconda.com/pkgs/r/noarch 802.4 package cache : /opt/conda/pkgs 802.4 /root/.conda/pkgs 802.4 envs directories : /opt/conda/envs 802.4 /root/.conda/envs 802.4 platform : linux-64 802.4 user-agent : conda/4.12.0 requests/2.27.1 CPython/3.7.11 Linux/5.15.133.1-microsoft-standard-WSL2 ubuntu/20.04.6 glibc/2.31 802.4 UID:GID : 0:0 802.4 netrc file : None 802.4 offline mode : False 802.4 802.4 802.4 An unexpected error has occurred. Conda has prepared the above report. 802.4 802.4 802.4 802.4 Looking for: ['_libgcc_mutex==0.1=conda_forge', '_openmp_mutex==4.5=1_llvm', 'abseil-cpp==20200923.3=h2531618_0', 'absl-py==0.15.0=pyhd3eb1b0_0', 'aiohttp==3.8.1=py37h7f8727e_0', 'aiosignal==1.2.0=pyhd3eb1b0_0', 'amqp==2.6.1=py_0', 'aniso8601==9.0.1=pyhd8ed1ab_0', 'asciitree==0.3.3=py_2', 'astor==0.8.1=py37h06a4308_0', 'astunparse==1.6.3=py_0', 'async-timeout==4.0.1=pyhd3eb1b0_0', 'asynctest==0.13.0=py_0', 'attrs==21.2.0=pyhd3eb1b0_0', 'backcall==0.2.0=pyhd3eb1b0_0', 'beautifulsoup4==4.10.0=pyh06a4308_0', 'billiard==3.6.4.0=py37h27cfd23_0', 'blas==1.0=mkl', 'blinker==1.4=py37h06a4308_0', 'blosc==1.21.0=h9c3ff4c_0', 'brotli==1.0.9=he6710b0_2', 'brotlipy==0.7.0=py37h27cfd23_1003', 'brunsli==0.1=h2531618_0', 'bzip2==1.0.8=h7b6447c_0', 'c-ares==1.18.1=h7f98852_0', 'ca-certificates==2021.10.26=h06a4308_2', 'cachetools==4.2.2=pyhd3eb1b0_0', 'celery==5.0.5=pyhd3eb1b0_0', 'certifi==2021.10.8=py37h06a4308_2', 'cffi==1.14.6=py37h400218f_0', 'chardet==4.0.0=py37h06a4308_1003', 'charls==2.2.0=h2531618_0', 'charset-normalizer==2.0.4=pyhd3eb1b0_0', 'click==8.0.3=pyhd3eb1b0_0', 'click-didyoumean==0.0.3=pyhd3eb1b0_0', 'click-plugins==1.1.1=pyhd3eb1b0_0', 'click-repl==0.2.0=pyhd3eb1b0_0', 'cloudpickle==2.0.0=pyhd3eb1b0_0', 'conda==4.11.0=py37h89c1867_0', 'conda-build==3.21.5=py37h06a4308_0', 'conda-package-handling==1.7.3=py37h27cfd23_1', 'coverage==5.5=py37h27cfd23_2', 'cryptography==3.4.8=py37hd23ed53_0', 'cudatoolkit==11.3.1=ha36c431_9', 'cycler==0.11.0=pyhd3eb1b0_0', 'cython==0.29.25=py37hdbfa776_0', 'cytoolz==0.11.0=py37h7b6447c_0', 'dask-core==2021.10.0=pyhd3eb1b0_0', 'dataclasses==0.8=pyh6d0b6a4_7', 'decorator==5.1.0=pyhd3eb1b0_0', 'fasteners==0.16.3=pyhd3eb1b0_0', 'ffmpeg==4.3=hf484d3e_0', 'filelock==3.0.12=pyhd3eb1b0_1', 'flask==1.1.2=pyhd3eb1b0_0', 'flask-redis==0.4.0=py_0', 'flask-restx==0.5.1=pyhd8ed1ab_0', 'fonttools==4.25.0=pyhd3eb1b0_0', 'freetype==2.10.4=h5ab3b9f_0', 'frozenlist==1.2.0=py37h7f8727e_0', 'fsspec==2021.10.1=pyhd3eb1b0_0', 'future==0.18.2=py37_1', 'gast==0.3.3=py_0', 'giflib==5.2.1=h7b6447c_0', 'glob2==0.7=pyhd3eb1b0_0', 'gmp==6.2.1=h2531618_2', 'gnutls==3.6.15=he1e5248_0', 'google-auth==1.33.0=pyhd3eb1b0_0', 'google-auth-oauthlib==0.4.4=pyhd3eb1b0_0', 'google-pasta==0.2.0=pyhd3eb1b0_0', 'greenlet==1.1.1=py37h295c915_0', 'grpc-cpp==1.36.4=hf89561c_1', 'grpcio==1.36.1=py37h2157cd5_1', 'h5py==2.10.0=py37hd6299e0_1', 'hdf5==1.10.6=hb1b8bf9_0', 'icu==58.2=he6710b0_3', 'idna==2.10=pyhd3eb1b0_0', 'imagecodecs==2021.3.31=py37hd0c323f_1', 'imageio==2.9.0=pyhd3eb1b0_0', 'importlib-metadata==4.8.2=py37h06a4308_0', 'importlib_metadata==4.8.2=hd3eb1b0_0', 'importlib_resources==5.4.0=pyhd8ed1ab_0', 'intel-openmp==2021.3.0=h06a4308_3350', 'ipython==7.27.0=py37hb070fc8_0', 'itsdangerous==2.0.1=pyhd3eb1b0_0', 'jansson==2.14=h7f98852_0', 'jbig==2.1=h7f98852_2003', 'jedi==0.18.0=py37h06a4308_1', 'jinja2==2.11.3=pyhd3eb1b0_0', 'joblib==1.1.0=pyhd3eb1b0_0', 'jpeg==9d=h7f8727e_0', 'jsonschema==4.4.0=pyhd8ed1ab_0', 'jxrlib==1.1=h7b6447c_2', 'keras-preprocessing==1.1.2=pyhd3eb1b0_0', 'kiwisolver==1.3.1=py37h2531618_0', 'kombu==4.6.11=py37_0', 'krb5==1.19.2=hcc1bbae_0', 'lame==3.100=h7b6447c_0', 'lcms2==2.12=h3be6417_0', 'ld_impl_linux-64==2.35.1=h7274673_9', 'lerc==2.2.1=h9c3ff4c_0', 'libaec==1.0.4=he6710b0_1', 'libarchive==3.5.2=hccf745f_1', 'libcurl==7.80.0=h0b77cf5_0', 'libdeflate==1.7=h7f98852_5', 'libedit==3.1.20191231=he28a2e2_2', 'libev==4.33=h516909a_1', 'libffi==3.3=he6710b0_2', 'libgcc-ng==11.2.0=h1d223b6_11', 'libgfortran-ng==7.5.0=ha8ba4b0_17', 'libgfortran4==7.5.0=ha8ba4b0_17', 'libiconv==1.16=h516909a_0', 'libidn2==2.3.2=h7f8727e_0', 'liblief==0.10.1=he6710b0_0', 'libmamba==0.19.1=h3985d26_0', 'libmambapy==0.19.1=py37hab1676c_0', 'libnghttp2==1.46.0=hce63b2e_0', 'libpng==1.6.37=hbc83047_0', 'libprotobuf==3.15.8=h780b84a_1', 'libsolv==0.7.19=h780b84a_5', 'libssh2==1.10.0=ha56f1ee_2', 'libstdcxx-ng==11.2.0=he4da1e4_11', 'libtasn1==4.16.0=h27cfd23_0', 'libtiff==4.3.0=hf544144_1', 'libunistring==0.9.10=h27cfd23_0', 'libuv==1.40.0=h7b6447c_0', 'libwebp==1.2.0=h89dd481_0', 'libwebp-base==1.2.0=h27cfd23_0', 'libxml2==2.9.12=h03d6c58_0', 'libzopfli==1.0.3=he6710b0_0', 'llvm-openmp==12.0.1=h4bd325d_1', 'locket==0.2.1=py37h06a4308_1', 'lz4-c==1.9.3=h295c915_1', 'lzo==2.10=h516909a_1000', 'mamba==0.19.1=py37h6dacc13_0', 'markdown==3.3.4=py37h06a4308_0', 'markupsafe==2.0.1=py37h27cfd23_0', 'matplotlib-base==3.4.3=py37hbbc1b5f_0', 'matplotlib-inline==0.1.2=pyhd3eb1b0_2', 'mkl==2020.2=256', 'mkl-service==2.3.0=py37he8ac12f_0', 'mkl_fft==1.3.0=py37h54f3939_0', 'mkl_random==1.1.1=py37h0573a6f_0', 'msgpack-python==1.0.2=py37hff7bd54_1', 'multidict==5.1.0=py37h27cfd23_2', 'munkres==1.1.4=py_0', 'ncurses==6.2=he6710b0_1', 'nettle==3.7.3=hbbd107a_1', 'networkx==2.6.3=pyhd3eb1b0_0', 'numcodecs==0.8.0=py37h2531618_0', 'numpy==1.19.2=py37h54aff64_0', 'numpy-base==1.19.2=py37hfa32c7d_0', 'oauthlib==3.1.1=pyhd3eb1b0_0', 'olefile==0.46=py37_0', 'openh264==2.1.0=hd408876_0', 'openjpeg==2.4.0=h3ad879b_0', 'openssl==1.1.1m=h7f8727e_0', 'opt_einsum==3.3.0=pyhd3eb1b0_1', 'packaging==21.3=pyhd3eb1b0_0', 'parso==0.8.2=pyhd3eb1b0_0', 'partd==1.2.0=pyhd3eb1b0_0', 'patchelf==0.13=h295c915_0', 'pcre==8.45=h295c915_0', 'pexpect==4.8.0=pyhd3eb1b0_3', 'pickleshare==0.7.5=pyhd3eb1b0_1003', 'pika==1.1.0=pyh9f0ad1d_1', 'pillow==8.4.0=py37h5aabda8_0', 'pip==21.0.1=py37h06a4308_0', 'pkginfo==1.7.1=py37h06a4308_0', 'prompt-toolkit==3.0.20=pyhd3eb1b0_0', 'prompt_toolkit==3.0.20=hd3eb1b0_0', 'protobuf==3.15.8=py37hcd2ae1e_0', 'psutil==5.8.0=py37h27cfd23_1', 'ptyprocess==0.7.0=pyhd3eb1b0_2', 'py-lief==0.10.1=py37h403a769_0', 'pyasn1==0.4.8=pyhd3eb1b0_0', 'pyasn1-modules==0.2.8=py_0', 'pybind11-abi==4=hd8ed1ab_3', 'pycosat==0.6.3=py37h27cfd23_0', 'pycparser==2.20=py_2', 'pygments==2.10.0=pyhd3eb1b0_0', 'pyjwt==2.1.0=py37h06a4308_0', 'pyopenssl==20.0.1=pyhd3eb1b0_1', 'pyparsing==3.0.4=pyhd3eb1b0_0', 'pyrsistent==0.18.1=py37h5e8e339_0', 'pysocks==1.7.1=py37_1', 'python==3.7.11=h12debd9_0', 'python-dateutil==2.8.2=pyhd3eb1b0_0', 'python-flatbuffers==1.12=pyhd3eb1b0_0', 'python-libarchive-c==2.9=pyhd3eb1b0_1', 'python_abi==3.7=2_cp37m', 'pytorch==1.10.0=py3.7_cuda11.3_cudnn8.2.0_0', 'pytorch-mutex==1.0=cuda', 'pytz==2021.3=pyhd3eb1b0_0', 'pywavelets==1.1.1=py37h7b6447c_2', 'pyyaml==5.3.1=py37h7b6447c_0', 're2==2021.04.01=h9c3ff4c_0', 'readline==8.1=h27cfd23_0', 'redis-py==3.5.3=pyhd3eb1b0_0', 'reproc==14.2.3=h7f98852_0', 'reproc-cpp==14.2.3=h9c3ff4c_0', 'requests==2.25.1=pyhd3eb1b0_0', 'requests-oauthlib==1.3.0=py_0', 'ripgrep==12.1.1=0', 'rsa==4.7.2=pyhd3eb1b0_1', 'ruamel_yaml==0.15.87=py37h7b6447c_0', 'scikit-image==0.17.2=py37hdf5156a_0', 'scikit-learn==0.23.1=py37h423224d_0', 'scipy==1.4.1=py37h0b6359f_0', 'setuptools==58.0.4=py37h06a4308_0', 'six==1.16.0=pyhd3eb1b0_0', 'snappy==1.1.8=he6710b0_0', 'soupsieve==2.2.1=pyhd3eb1b0_0', 'sqlalchemy==1.4.27=py37h7f8727e_0', 'sqlite==3.36.0=hc218d9a_0', 'tensorboard==2.4.0=pyhc547734_0', 'tensorboard-plugin-wit==1.6.0=py_0', 'tensorboardx==2.1=py_0', 'tensorflow==2.4.0=py37h89c1867_0', 'tensorflow-base==2.4.0=py37h00a14e9_0', 'tensorflow-estimator==2.4.0=pyh9656e83_0', 'termcolor==1.1.0=py37h06a4308_1', 'threadpoolctl==2.2.0=pyh0d69192_0', 'tifffile==2021.4.8=pyhd3eb1b0_2', 'tk==8.6.10=hbc83047_0', 'toolz==0.11.2=pyhd3eb1b0_0', 'torchtext==0.11.0=py37', 'torchvision==0.11.0=py37_cu113', 'tornado==6.1=py37h27cfd23_0', 'tqdm==4.48.2=py_0', 'traitlets==5.1.0=pyhd3eb1b0_0', 'typing-extensions==3.10.0.2=hd3eb1b0_0', 'typing_extensions==3.10.0.2=pyh06a4308_0', 'tzdata==2021a=h52ac0ba_0', 'urllib3==1.26.6=pyhd3eb1b0_1', 'uwsgi==2.0.18=py37hd004684_2', 'vine==1.3.0=pyhd3eb1b0_0', 'wcwidth==0.2.5=pyhd3eb1b0_0', 'werkzeug==2.0.2=pyhd3eb1b0_0', 'wheel==0.36.2=pyhd3eb1b0_0', 'wrapt==1.13.3=py37h7f8727e_2', 'xz==5.2.5=h7b6447c_0', 'yaml==0.1.7=had09818_2', 'yaml-cpp==0.6.3=he1b5a44_4', 'yarl==1.6.3=py37h27cfd23_0', 'zarr==2.11.0=pyhd8ed1ab_0', 'zfp==0.5.5=h2531618_6', 'zipp==3.6.0=pyhd3eb1b0_0', 'zlib=1.2.11', 'zstd==1.5.0=ha95c52a_0'] 802.4 802.4 802.4 (00m:01s) 1003 KB 25 KB/s 802.4 Finished blosc (00m:00s) 841 KB 21 KB/s 802.4 Finished imagecodecs (00m:00s) 7 MB 175 KB/s 802.4 Finished google-pasta (00m:00s) 43 KB 1 KB/s 802.4 SHA256 sum validation error. 802.4 Finished wrapt (00m:00s) 51 KB 1 KB/s 802.4 Finished giflib (00m:00s) 82 KB 2 KB/s 802.4 Finished tensorboardx (00m:00s) 80 KB 2 KB/s 802.4 Finished uwsgi (00m:00s) 2 MB 51 KB/s 802.4 Finished libidn2 (00m:00s) 95 KB 2 KB/s 802.4 Finished cloudpickle (00m:00s) 31 KB 744 B/s 802.4 Finished click-plugins (00m:00s) 10 KB 234 B/s 802.4 Finished yaml (00m:00s) 85 KB 2 KB/s 802.4 Finished blas (00m:04s) 6 KB 131 B/s 802.4 Finished jedi (00m:00s) 944 KB 21 KB/s 802.4 Finished numpy (00m:00s) 21 KB 465 B/s 802.4 Finished lcms2 (00m:01s) 396 KB 9 KB/s 802.4 Finished backcall (00m:00s) 13 KB 296 B/s 802.4 Finished packaging (00m:00s) 35 KB 772 B/s 802.4 Finished libtasn1 (00m:00s) 62 KB 1 KB/s 802.4 Finished jsonschema (00m:00s) 57 KB 1 KB/s 802.4 Finished pyrsistent (00m:00s) 90 KB 2 KB/s 802.4 Finished tensorflow-base (00m:05s) 93 MB 2 MB/s 802.4 Finished pyasn1 (00m:00s) 54 KB 1 KB/s 802.4 Finished libgfortran4 (00m:01s) 1 MB 27 KB/s 802.4 Finished hdf5 (00m:01s) 5 MB 102 KB/s 802.4 Finished toolz (00m:00s) 48 KB 1003 B/s 802.4 Finished pyyaml (00m:00s) 191 KB 4 KB/s 802.4 Finished libwebp-base (00m:01s) 849 KB 17 KB/s 802.4 Finished urllib3 (00m:00s) 106 KB 2 KB/s 802.4 Finished matplotlib-base (00m:01s) 7 MB 147 KB/s 802.4 Finished cudatoolkit (00m:45s) 815 MB 10 MB/s 802.4 Finished pytorch (00m:55s) 1 GB 13 MB/s ------ Dockerfile:26 -------------------- 25 | COPY ./environment.yml /tmp/environment.yml 26 | >>> RUN sed -i '/.\/elephant-core/d' /tmp/environment.yml \ 27 | >>> && curl -OL https://repo.continuum.io/miniconda/Miniconda3-py37_4.11.0-Linux-x86_64.sh \ 28 | >>> && bash Miniconda3-py37_4.11.0-Linux-x86_64.sh -bfp /opt/conda \ 29 | >>> && rm Miniconda3-py37_4.11.0-Linux-x86_64.sh \ 30 | >>> && . /opt/conda/etc/profile.d/conda.sh \ 31 | >>> && conda init \ 32 | >>> && echo "conda activate base" >> ~/.bashrc \ 33 | >>> && conda install -c conda-forge -y mamba=0.19.1 \ 34 | >>> && mamba clean -qafy \ 35 | >>> && mamba env update -f /tmp/environment.yml \ 36 | >>> && mamba clean -qafy \ 37 | >>> && rm -rf /tmp/elephant-core \ 38 | >>> && rm /tmp/environment.yml 39 | RUN mamba install jupyter -------------------- ERROR: failed to solve: process "/bin/bash -c sed -i '/.\\/elephant-core/d' /tmp/environment.yml && curl -OL https://repo.continuum.io/miniconda/Miniconda3-py37_4.11.0-Linux-x86_64.sh && bash Miniconda3-py37_4.11.0-Linux-x86_64.sh -bfp /opt/conda && rm Miniconda3-py37_4.11.0-Linux-x86_64.sh && . /opt/conda/etc/profile.d/conda.sh && conda init && echo \"conda activate base\" >> ~/.bashrc && conda install -c conda-forge -y mamba=0.19.1 && mamba clean -qafy && mamba env update -f /tmp/environment.yml && mamba clean -qafy && rm -rf /tmp/elephant-core && rm /tmp/environment.yml" did not complete successfully: exit code: 1
Thank you for your help,
Cheers,
R
Hi @ksugar ,
I'm trying to install elephant-server on my Windows11-WSL2 ( Ubuntu 22.04.2 LTS (GNU/Linux 5.15.133.1-microsoft-standard-WSL2 x86_64) , NVIDIA-SMI 550.40.06 , Driver Version: 551.23 , CUDA Version: 12.4)
I followed these steps:
git clone https://github.com/elephant-track/elephant-server.git...\elephant-server>docker build ., it started well but suddenly crashed with the error below :Thank you for your help,
Cheers,
R