Install this package:
emerge -a sci-ml/torchvision
If the package is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask sci-ml/torchvision
Or alternatively:
emerge --autounmask-write -a sci-ml/torchvision
<pkgmetadata> <maintainer type="person"> <email>tupone@gentoo.org</email> <name>Alfredo Tupone</name> </maintainer> <use> <flag name="rocm">Enable ROCm gpu computing support</flag> </use> <upstream> <remote-id type="github">pytorch/vision</remote-id> </upstream> </pkgmetadata>
Manage flags for this package:
euse -i <flag> -p sci-ml/torchvision |
euse -E <flag> -p sci-ml/torchvision |
euse -D <flag> -p sci-ml/torchvision
| Flag | Description | 0.26.0 | 0.25.0 |
|---|---|---|---|
| cuda | Enable NVIDIA CUDA support (computation on GPU) | ✓ | ✓ |
| ffmpeg | Enable ffmpeg/libav-based audio/video codec support | ⊕ | ⊕ |
| jpeg | Add JPEG image support | ⊕ | ⊕ |
| png | Add support for libpng (PNG images) | ⊕ | ⊕ |
| rocm | Enable ROCm gpu computing support | ✓ | ✓ |
| webp | Add support for the WebP image format | ⊕ | ⊕ |
| Type | File | Size | Versions |
|---|---|---|---|
| DIST | torchvision-0.25.0.tar.gz | 14589841 bytes | 0.25.0 |
| DIST | torchvision-0.26.0.tar.gz | 14529912 bytes | 0.26.0 |
| Type | File | Size |
|---|