Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Suggestion of Environment (OS, package version, etc.) #16

Open
discrim opened this issue Nov 12, 2020 · 1 comment
Open

Suggestion of Environment (OS, package version, etc.) #16

discrim opened this issue Nov 12, 2020 · 1 comment

Comments

@discrim
Copy link

discrim commented Nov 12, 2020

Hi,

I just posted an issue, but I think I can use another one parallelly.

Can you suggest the simplest working environment for this library?
For the OS, I can use:

  • Windows 10
  • Windows 10 > PowerShell > WSL2 (Ubuntu 18.04 LTS)
  • VirtualBox

Please specify the versions of packages such as:

  • Python
  • CMake
  • gcc, g++
  • TensorFlow (I bet this is 1.13.1)
  • and any other things that I may have missed

Thanks in advance.

@angeloskath
Copy link
Collaborator

Hi,

I have never tested the library with Windows so with respect to that, your mileage may vary.

A working environment would be the following (as reported from conda list).

# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                        main  
_tflow_select             2.1.0                       gpu  
absl-py                   0.10.0                   py36_0  
astor                     0.8.1                    py36_0  
attention-sampling        0.2                      pypi_0    pypi
blas                      1.0                         mkl  
c-ares                    1.15.0            h7b6447c_1001  
ca-certificates           2020.7.22                     0  
certifi                   2020.6.20                py36_0  
cudatoolkit               10.0.130                      0  
cudnn                     7.6.5                cuda10.0_0  
cupti                     10.0.130                      0  
gast                      0.4.0                      py_0  
grpcio                    1.31.0           py36hf8bcb03_0  
h5py                      2.10.0           py36hd6299e0_1  
hdf5                      1.10.6               hb1b8bf9_0  
importlib-metadata        1.7.0                    py36_0  
intel-openmp              2020.2                      254  
keras                     2.2.0                    pypi_0    pypi
keras-applications        1.0.2                    pypi_0    pypi
keras-preprocessing       1.0.1                    pypi_0    pypi
ld_impl_linux-64          2.33.1               h53a641e_7  
libedit                   3.1.20191231         h14c3975_1  
libffi                    3.3                  he6710b0_2  
libgcc-ng                 9.1.0                hdf63c60_0  
libgfortran-ng            7.3.0                hdf63c60_0  
libprotobuf               3.12.4               hd408876_0  
libstdcxx-ng              9.1.0                hdf63c60_0  
markdown                  3.2.2                    py36_0  
mkl                       2020.2                      256  
mkl-service               2.3.0            py36he904b0f_0  
mkl_fft                   1.1.0            py36h23d657b_0  
mkl_random                1.1.1            py36h0573a6f_0  
mock                      4.0.2                      py_0  
ncurses                   6.2                  he6710b0_1  
numpy                     1.19.1           py36hbc911f0_0  
numpy-base                1.19.1           py36hfa32c7d_0  
opencv-python             4.4.0.42                 pypi_0    pypi
openssl                   1.1.1g               h7b6447c_0  
pip                       20.2.2                   py36_0  
protobuf                  3.12.4           py36he6710b0_0  
pydot                     1.4.1                    pypi_0    pypi
pyparsing                 2.4.7                    pypi_0    pypi
python                    3.6.12               hcff3b4d_2  
pyyaml                    5.3.1                    pypi_0    pypi
readline                  8.0                  h7b6447c_0  
scipy                     1.5.2            py36h0b6359f_0  
setuptools                49.6.0                   py36_0  
six                       1.15.0                     py_0  
sqlite                    3.33.0               h62c20be_0  
tensorboard               1.13.1           py36hf484d3e_0  
tensorflow                1.13.1          gpu_py36h3991807_0  
tensorflow-base           1.13.1          gpu_py36h8d69cac_0  
tensorflow-estimator      1.13.0                     py_0  
tensorflow-gpu            1.13.1               h0d30ee6_0  
termcolor                 1.1.0                    py36_1  
tk                        8.6.10               hbc83047_0  
werkzeug                  1.0.1                      py_0  
wheel                     0.35.1                     py_0  
xz                        5.2.5                h7b6447c_0  
zipp                      3.1.0                      py_0  
zlib                      1.2.11               h7b6447c_3  

Most of these will be installed as dependencies so I would focus on tensorflow=1.13.1 and keras=2.2.0.

The g++ version that I am using is 8.3.0 . You can read more about installing the library in the docs.

Cheers,
Angelos

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants