Install this package:
emerge -a sci-libs/torchaudio
If the package is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask sci-libs/torchaudio
Or alternatively:
emerge --autounmask-write -a sci-libs/torchaudio
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 2.4.1 | 8 | ~amd64 | 0 |
<pkgmetadata> <use> <flag name="rocm">Enable ROCm gpu computing support</flag> <flag name="rnnt">Enable custom RNN-T loss function</flag> </use> <upstream> <remote-id type="github">pytorch/vision</remote-id> </upstream> </pkgmetadata>
Manage flags for this package:
euse -i <flag> -p sci-libs/torchaudio |
euse -E <flag> -p sci-libs/torchaudio |
euse -D <flag> -p sci-libs/torchaudio
| Flag | Description | 2.4.1 |
|---|---|---|
| cuda | Add support for CUDA ⚠️ | ✓ |
| ffmpeg | ⚠️ | ✓ |
| openmp | ⚠️ | ✓ |
| rnnt | Enable custom RNN-T loss function | ⊕ |
| rocm | Enable ROCm gpu computing support | ✓ |
| Type | File | Size | Versions |
|---|---|---|---|
| DIST | torchaudio-2.4.1.tar.gz | 4503000 bytes | 2.4.1 |
| Type | File | Size |
|---|