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I need a little help. I am trying to create an environment using the defult environent.yml in a ubuntu 18.04.6 ARM machine.
But I am facing issues with the following packages-
freetype==2.9.1=h8a8886c_1
libxslt==1.1.33=h7d1a2b0_0
setuptools==46.4.0=py37_0
yaml==0.1.7=had09818_2
intel-openmp==2020.1=217
mkl==2020.1=217
tensorflow==1.13.1=gpu_py37hc158e3b_0
itsdangerous==1.1.0=py37_0
scikit-learn==0.22.1=py37hd81dba3_0
libstdcxx-ng==9.1.0=hdf63c60_0
pyzmq==18.1.1=py37he6710b0_0
lxml==4.5.0=py37hefd8a0e_0
beautifulsoup4==4.9.1=py37_0
icu==58.2=he6710b0_3
lz4-c==1.9.2=he6710b0_0
webencodings==0.5.1=py37_1
ipykernel==5.1.4=py37h39e3cac_0
mkl-service==2.3.0=py37he904b0f_0
libtiff==4.1.0=h2733197_1
docopt==0.6.2=py37_0
libboost==1.67.0=h46d08c1_4
sip==4.19.8=py37hf484d3e_0
blas==1.0=mkl
libffi==3.3=he6710b0_1
openssl==1.1.1g=h7b6447c_0
cffi==1.14.0=py37he30daa8_1
send2trash==1.5.0=py37_0
astor==0.8.0=py37_0
zeromq==4.3.1=he6710b0_3
_tflow_select==2.1.0=gpu
dbus==1.13.14=hb2f20db_0
gst-plugins-base==1.14.0=hbbd80ab_1
ld_impl_linux-64==2.33.1=h53a641e_7
tensorboard==1.13.1=py37hf484d3e_0
sqlite==3.31.1=h62c20be_1
pyqt==5.9.2=py37h05f1152_2
hdf5==1.10.4=hb1b8bf9_0
py4j==0.10.8.1=py37_0
cycler==0.10.0=py37_0
cudnn==7.6.5=cuda10.0_0
cudatoolkit==10.0.130=0
libgfortran-ng==7.3.0=hdf63c60_0
qt==5.9.7=h5867ecd_1
c-ares==1.15.0=h7b6447c_1001
numpy-base==1.18.1=py37hde5b4d6_1
glib==2.63.1=h3eb4bd4_1
libedit==3.1.20181209=hc058e9b_0
kiwisolver==1.2.0=py37hfd86e86_0
libgcc-ng==9.1.0=hdf63c60_0
ncurses==6.2=he6710b0_1
pyyaml==5.3.1=py37h7b6447c_0
matplotlib-base==3.1.3=py37hef1b27d_0
expat==2.2.6=he6710b0_0
pickleshare==0.7.5=py37_0
libxml2==2.9.9=hea5a465_1
cairo==1.14.12=h8948797_3
markdown==3.1.1=py37_0
entrypoints==0.3=py37_0
numpy==1.18.1=py37h4f9e942_0
libuuid==1.0.3=h1bed415_2
mistune==0.8.4=py37h7b6447c_0
ipython==7.13.0=py37h5ca1d4c_0
pyrsistent==0.16.0=py37h7b6447c_0
zstd==1.4.4=h0b5b093_3
pandas==1.0.3=py37h0573a6f_0
tensorflow-base==1.13.1=gpu_py37h8d69cac_0
libpng==1.6.37=hbc83047_0
importlib-metadata==1.6.0=py37_0
markupsafe==1.1.1=py37h7b6447c_0
py-boost==1.67.0=py37h04863e7_4
ipython_genutils==0.2.0=py37_0
tensorflow-gpu==1.13.1=h0d30ee6_0
absl-py==0.9.0=py37_0
urllib3==1.25.8=py37_0
python==3.7.7=hcff3b4d_5
gmp==6.1.2=h6c8ec71_1
cupti==10.0.130=0
jpeg==9b=h024ee3a_2
readline==8.0=h7b6447c_0
pcre==8.43=he6710b0_0
h5py==2.10.0=py37h7918eee_0
mkl_random==1.1.1=py37h0573a6f_0
pillow==7.1.2=py37hb39fc2d_0
jedi==0.17.0=py37_0
ca-certificates==2020.1.1=0
keras-base==2.3.1=py37_0
pandocfilters==1.4.2=py37_1
pixman==0.38.0=h7b6447c_0
gstreamer==1.14.0=hb31296c_0
xz==5.2.5=h7b6447c_0
tk==8.6.8=hbc83047_0
fontconfig==2.13.0=h9420a91_0
bzip2==1.0.8=h7b6447c_0
pandoc==2.2.3.2=0
pip==20.0.2=py37_3
libsodium==1.0.16=h1bed415_0
jupyter==1.0.0=py37_7
scipy==1.4.1=py37h0b6359f_0
certifi==2020.4.5.1=py37_0
libprotobuf==3.11.4=hd408876_0
sqlalchemy==1.3.17=py37h7b6447c_0
tornado==6.0.4=py37h7b6447c_1
ptyprocess==0.6.0=py37_0
libxcb==1.13=h1bed415_1
grpcio==1.27.2=py37hf8bcb03_0
protobuf==3.11.4=py37he6710b0_0
backcall==0.1.0=py37_0
rdkit==2020.03.2.0=py37hc20afe1_1
zlib==1.2.11=h7b6447c_3
keras-gpu==2.3.1=0
mkl_fft==1.0.15=py37ha843d7b_0
termcolor==1.1.0=py37_1
cryptography==2.9.2=py37h1ba5d50_0
While checking conda channels, I found that the versions and build mentioned above are not available.
I have not worked with conda before.
Kindly let me know if there is an easy way to replace them with an existing version/build wihtout having to perform conda search for each packages and updating the info individually/manually.
If you can update the environment.yml file from your side, that would be much appreciated.
The text was updated successfully, but these errors were encountered:
ropuia22
changed the title
Deprecated Dependency versions
Deprecated Dependency Versions in Environment.yml
Mar 18, 2022
@ropuia22
Thank you for letting us know about the issue. Please check the setup instruction (https://github.com/clinfo/ReTReK/blob/master/doc/setup.md) and try to set up your environment following the Install the dependency libraries section instead of using the environment.yml.
Hi Team,
I need a little help. I am trying to create an environment using the defult environent.yml in a ubuntu 18.04.6 ARM machine.
But I am facing issues with the following packages-
While checking conda channels, I found that the versions and build mentioned above are not available.
I have not worked with conda before.
Kindly let me know if there is an easy way to replace them with an existing version/build wihtout having to perform conda search for each packages and updating the info individually/manually.
If you can update the environment.yml file from your side, that would be much appreciated.
The text was updated successfully, but these errors were encountered: