在尝试安装之前,可以使用 conda search onnxruntime-gpu 命令来搜索可用的 ONNX Runtime GPU 版本包,确保有符合你需求的版本。 安装命令: 在命令行终端中输入以下命令来安装 ONNX Runtime GPU: bash conda install onnxruntime-gpu 这将安装最新版本的 ONNX Runtime GPU。如果你需要安装特定版本,可以使用以下...
2、GPU安装的安装cudatoolkit和cudnn严格按照教程的来,擅自使用其他版本出现依赖兼容问题一概不管 3、安装结束后就可以使用conda中的环境变量运行脚本了,详情见README 4、如果电脑在此教程之前已经安装过CUDA,且运行脚本时出现以下错误 pip uninstall onnxruntime-gpu pip install onnxruntime-gpu==1.17 ...
# dependencies.yml name: duplicates channels: - conda-forge # https://conda.anaconda.org/conda-forge/ dependencies: - python=3.10.10 - onnx==1.13.1 - pip: - onnxruntime-gpu==1.14.1 - onnxsim $ conda-lock --micromamba --file dependencies.yml --lockfile repo-lock.yml --platform li...
Downloading PyMuPDF-1.23.8-cp310-none-manylinux2014_x86_64.whl.metadata (3.4 kB) Collecting rapidocr_onnxruntime (from -r requirements.txt (line 25)) Downloading rapidocr_onnxruntime-1.3.9-py3-none-any.whl.metadata (1.3 kB) Collecting requests>=2.31.0 (from -r requirements.txt (line 26...
onnxruntime1.8.0 pypi_0 pypi opencv-python4.5.3.56 pypi_0 pypi openjpeg2.3.0 h05c96fa_1 openssl1.1.1k h27cfd23_0 opt-einsum3.3.0 pypi_0 pypi packaging20.9pypi_0 pypi pandas1.3.0 pypi_0 pypi pillow8.2.0 pypi_0 pypi pip21.1.2 py37h06a4308_0 ...
在运行上面代码之前,还得在tensorrt虚拟环境中安装onnx(onnx==1.12.0)和onnxruntime(onnxruntime==1.12.0)(onnx和onnxruntime的版本对应关系可以参考这个链接,当然如果要查看最新的版本的,可以直接google哦) pipinstallonnx==1.12.0pipinstallonnxruntime==1.12.0 ...
The change in #21005 works for directly building wheels with build.py, but ort-nightly-directml wheels, as well as the 1.18.1 release of the onnxruntime-directml python wheel, still do not work with conda since they're built from the py-win-gpu.yml pipel
- onnxruntime-gpu==1.14.0 - opencv-python==4.6.0.66 - pandas==1.3.5 - pythonnet==3.0.1 - scikit-learn==1.0.2 - scipy==1.7.3 - shapely==1.8.4 - tensorboard==2.12.0 - tqdm==4.64.0 - tensorflow==2.12.0 - segmentation-models==1.0.1 - Nuitka...
Checklist I added a descriptive title I searched open reports and couldn't find a duplicate What happened? When I run: conda install -c xformers xformers I have follow error: Collecting package metadata (current_repodata.json): failed # ...
travis build is always cpu-only as there is no GPU in travis. You may be able to build cuda in Travis without GPU, seethis example project. However, travis will not be able to run or test it. With Github Actions, it is possible to build and test with GPU support with self-hosted ...