自定义模块:transformer_engine 可能是一个自定义模块,由你或你的团队开发,并未上传到PyPI。 私有仓库:该模块可能存储在一个私有的代码仓库中,例如GitHub、GitLab等。 依赖错误:可能你的项目依赖于一个包含 transformer_engine 的更大项目或库,但你没有正确安装或配置它。 2. 检查Python环境路径配置 如果
pip - from PyPI Transformer Engine can be directly installed fromour PyPI, e.g. pip3install--no-build-isolationtransformer_engine[pytorch] To obtain the necessary Python bindings for Transformer Engine, the frameworks needed must be explicitly specified as extra dependencies in a comma-separated...
clone 代码,编译 git clone --branch main --recursive https://github.com/NVIDIA/TransformerEngine.git cd TransformerEngine export NVTE_FRAMEWORK=pytorch # Optionally set framework pip3 install -e . -i https://pypi.tuna.tsinghua.edu.cn/simple发布...
Add docs for installing from PyPI (#1184) 9个月前 SECURITY.md Add SECURITY.md (#110) 2年前 pylintrc Upgrade pylint to 3.3.1 (#1257) 8个月前 setup.py [C/PyTorch] Userbuffers and comm+GEMM overlap algorithms refactored an…
Alternatively, the package can be directly installed from Transformer Engine's PyPI, e.g. pip3 install transformer_engine[pytorch] To obtain the necessary Python bindings for Transformer Engine, the frameworks needed must be explicitly specified as extra dependencies in a comma-separated list (e.g...
Transformer Engine may crash when it is installed via the PyPI registry but is run in an environment with CUDA version < 12.8. A temporary workaround is to install from source until the issue is fixed. Breaking Changes in This Release¶ ...
Transformer Engine can be directly installed from our PyPI, e.g. pip install transformer_engine[pytorch] To obtain the necessary Python bindings for Transformer Engine, the frameworks needed must be explicitly specified as extra dependencies in a comma-separated list (e.g. [jax,pytorch,paddle])....
The module can be installed fromPyPI: pip install faster-whisper Other installation methods (click to expand) Install the master branch pip install --force-reinstall"faster-whisper @ https://github.com/guillaumekln/faster-whisper/archive/refs/heads/master.tar.gz" ...
Alternatively, the package can be directly installed fromTransformer Engine's PyPI, e.g. pip install transformer_engine[pytorch] To obtain the necessary Python bindings for Transformer Engine, the frameworks needed must be explicitly specified as extra dependencies in a comma-separated list (e.g. ...