conda install pytorch cudatoolkit=8.0 And that will get you a PyTorch compiled with CUDA 8, rather than something else. The CUDA driver provides a C API to query what maximum version of CUDA is supported by the driver, so a few months ago I wrote a self-contained Python function for ...
First of all, it's very strange that yesterday I could still automatically find and select the Python 3.6.2 interpreter installed in a conda environment through the button in the top right corner of Positron. However, when I tried to reproduce this issue today, Python 3.6.2 no longer appear...
这里,python[version='>=3.9'] 出现在错误信息中,表明some_package需要一个Python版本至少为3.9的环境,而你的当前环境是Python 3.8,因此这个包在你的环境中不可用。 conda不会自动更改Python的小版本号,除非用户明确指定: conda在解决环境依赖时,默认会尊重用户当前环境中的Python版本,并且不会自动升级到不同的...
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In the meanwhile we switched to a conda-based environment, where stables-baselines3 is installed through conda, while most of the other dependencies are installed through poetry. It's a bit messy setup, but it seems to work (also, this way we can install some other packages, which are not...
glibc-2.35 Python version: 3.10.12 (main, Nov 20 2023, 15:14:05) [GCC 11.4.0] (64-bit runtime) Python platform: Linux-4.18.0-240.el8.x86_64-x86_64-with-glibc2.35 Is CUDA available: True CUDA runtime version: 12.3.107 CUDA_MODULE_LOADING set to: LAZY GPU models and configuratio...
How you installed PyTorch (conda,pip,libtorch, source): Build command you used (if compiling from source): Are you using local sources or building from archives: Python version: 3.11 CUDA version: 12.1 GPU models and configuration: Any other relevant information: ...
like channels: - asmeurer Not to be confused with specifying channels on a package, which is conda/conda#988.
python version:3.12.4.final.0 solver:libmamba (default) virtual packages:__archspec=1=skylake __conda=24.5.0=0 __cuda=12.2=0 __win=0=0 base environment:**redacted**\micromamba-binary\envs\conda-lock-env (writable) conda av data dir:**redacted**\micromamba-binary\envs\conda-lock-...
Contributor kalefranz commented Jun 25, 2019 The environment.yml file now supports the :: syntax for specifying channels. For example dependencies: - python=3.6 - bagit - conda-forge::beautifulsoup4 👍 35 👎 1 🎉 8 ️ 3 kalefranz closed this as completed Jun 25, 2019 ...