torch1.7.1对应的cuda
时间: 2025-06-21 16:29:36 浏览: 12
### PyTorch 1.7.1 Compatible CUDA Version
For a PyTorch installation that specifically uses version 1.7.1, compatibility issues may arise when using newer NVIDIA GPUs like the GeForce RTX 3090 due to unsupported Compute Capabilities such as `sm_86`[^1]. PyTorch 1.7.1 officially supports CUDA capabilities up to `sm_75`, which means it does not natively support architectures beyond this point.
To ensure compatibility between PyTorch and CUDA versions, one must align both software components appropriately. For PyTorch 1.7.1, the supported CUDA version is typically **CUDA 11.0** or earlier versions depending on specific configurations. However, considering advancements in GPU architecture and associated requirements, users should opt for updating their CUDA installations alongside matching PyTorch builds designed for those CUDA versions[^2].
When dealing with more recent hardware like the RTX 3090, ensuring proper functionality requires installing a PyTorch build tailored for CUDA 11.x because older versions do not provide necessary support for these advanced architectures[^3].
```bash
conda install pytorch=1.7.1 torchvision torchaudio cudatoolkit=11.0 -c pytorch
```
This command installs PyTorch 1.7.1 along with CUDA Toolkit 11.0 through Conda, aiming at achieving an environment where both pieces of software are mutually supportive within limitations imposed by PyTorch's own development timeline.
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