一、Transformer Engine的安装 环境准备 首先,确保您的计算机已安装NVIDIA GPU,并安装了相应版本的CUDA和cuDNN。此外,您还需要安装Python和pip等必要的软件工具。 安装Transformer Engine 您可以通过pip命令安装Transformer Engine。在命令行中输入以下命令: pip install transformer-engine 这将自动下载并安装Transformer Engi...
# Clone repository, checkout stable branch, clone submodules git clone --branch stable --recursive https://github.com/NVIDIA/TransformerEngine.git cd TransformerEngine export NVTE_FRAMEWORK=pytorch # Optionally set framework pip install . # Build and install 错误处理: Requirements should be satisfie...
gitsubmoduleupdate--init--recursive Extra dependencies for testing can be installed by setting the “test” option: pipinstall.[test] To build the C++ extensions with debug symbols, e.g. with the-gflag: pipinstall.--global-option=--debug...
pip install git+https://github.com/NVIDIA/TransformerEngine.git@refs/pull/NNN/merge Installation (from source) Execute the following commands to install Transformer Engine from source: # Clone repository, checkout stable branch, clone submodules git clone --branch stable --recursive https://github...
# Otherwise it will cause error when importing vLLM (LLAVA models). RUN pip uninstall -y transformer_engine # crashes docker? # RUN pip install -v -U git+https://github.com/facebookresearch/xformers.git@main#egg=xformers Expand Down...
pip install transformer-engine 安装完成后,再次运行你的程序看是否还会出现同样的错误。 如果已安装但无法导入,检查是否有版本冲突或路径问题: 如果包已经安装但仍然无法导入,可能是版本冲突或Python环境路径配置问题。可以尝试以下步骤: 检查是否有其他版本的Python或虚拟环境干扰了包的导入。 确保你的Python环境路径设...
pip install -r requirements.txt #编译xFormers pip install -e . (非必须)验证安装 python -m xformers.info 一些报错及解决方法 报错:nvcc fatal : Unknown option -extended-lambda 解决方法: 提升本机cuda版本 参考环境:pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.6 ...
Transformer Engine とは、Transformer モデルの学習を効率的に行うためのオープンソース ライブラリで、GPU における Transformer モデルの学習効率を大幅に向上します。
pip install --upgrade git+https://github.com/NVIDIA/TransformerEngine.git@stable Installation (development build)¶ Warning While the development build of Transformer Engine could contain new features not available in the official build yet, it is not supported and so its usage is not recommende...
pip install git+https://github.com/NVIDIA/TransformerEngine.git@stable This will automatically detect if any supported deep learning frameworks are installed and build Transformer Engine support for them. To explicitly specify frameworks, set the environment variable NVTE_FRAMEWORK to a comma-separated...