- Development Status :: 3 - Alpha
- Environment :: GPU
- Environment :: GPU :: NVIDIA CUDA
- Environment :: GPU :: NVIDIA CUDA :: 10.1
- License :: OSI Approved :: Apache Software License
- Operating System :: POSIX
- Operating System :: POSIX :: Linux
- Programming Language :: C
- Programming Language :: C++
- Programming Language :: Python :: 3 :: Only
- Programming Language :: Python :: 3.8
When you know about this project and you want to new install jdgalileo-gpu to support your project or you get trouble as ModuleNotFoundError: No module named "jdgalileo-gpu" or ImportError: cannot import name "jdgalileo-gpu" in your project, let follow this tutorial to install jdgalileo-gpu
In Windows (CMD):
py -m pip --version
In Unix/macOS:
python3 -m pip --version
Ensure pip, setuptools, and wheel are up to date:
In Windows (CMD):
py -m pip install --upgrade pip setuptools wheel
In Unix/macOS:
python3 -m pip install --upgrade pip setuptools wheel
Optional - If you want to install
In Windows (CMD):
- Install virtualenv - if you installed it, please ignore
py -m pip install --user virtualenv
- Create a virtual environment
py -m venv test_jdgalileo-gpu_env
- Active the virtual environment
test_jdgalileo-gpu_env\Scripts\active
In Unix/macOS:
- Install virtualenv - if you installed it, please ignore
pip3 install virtualenv
- Create a virtual environment
python3 -m venv test_jdgalileo-gpu_env
- Active the virtual environment
source test_jdgalileo-gpu_env/bin/active
To install jdgalileo-gpu on Windows(CMD):
py -m pip install jdgalileo-gpu
To install jdgalileo-gpu on Unix/macOs:
pip install jdgalileo-gpu
Example:
pip install jdgalileo-gpu==1.0.0
Please see the version list below table:
Version | Released date | Command |
---|---|---|
jdgalileo-gpu 1.0.0 | 2021-09-07T07:20:54 | Windows: Unix/macOs:
|
Download the distribution file from jdgalileo-gpu-1.0.0.tar.gz or the specific jdgalileo-gpu version in the below list of distribution
After that, install by command:
On Windows(CMD):
py -m pip install <path_to_jdgalileo-gpu_downloaded_file>
On Unix/macOs:
pip install <path_to_jdgalileo-gpu_downloaded_file>
List distribution:
- jdgalileo-gpu-1.0.0.tar.gz (python version >=3.8)
Project link: