- Environment :: GPU
- Environment :: GPU :: NVIDIA CUDA
- Intended Audience :: Education
- Topic :: Scientific/Engineering :: Artificial Intelligence
When you know about this project and you want to new install torchopt to support your project or you get trouble as ModuleNotFoundError: No module named "torchopt" or ImportError: cannot import name "torchopt" in your project, let follow this tutorial to install torchopt
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_torchopt_env
- Active the virtual environment
test_torchopt_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_torchopt_env
- Active the virtual environment
source test_torchopt_env/bin/active
To install torchopt on Windows(CMD):
py -m pip install torchopt
To install torchopt on Unix/macOs:
pip install torchopt
Example:
pip install torchopt==0.4.0
Please see the version list below table:
Version | Released date | Command |
---|---|---|
torchopt 0.4.3 | 2022-08-08T03:09:20 | Windows: Unix/macOs:
|
torchopt 0.4.2 | 2022-07-26T12:50:56 | Windows: Unix/macOs:
|
torchopt 0.4.1 | 2022-04-15T10:16:19 | Windows: Unix/macOs:
|
torchopt 0.4.0 | 2022-04-08T17:22:00 | Windows: Unix/macOs:
|
Download the distribution file from torchopt-0.4.3.tar.gz or the specific torchopt version in the below list of distribution
After that, install by command:
On Windows(CMD):
py -m pip install <path_to_torchopt_downloaded_file>
On Unix/macOs:
pip install <path_to_torchopt_downloaded_file>
List distribution:
Project link: