Added VectorQuantizer base class #8011
Conversation
|
jenkins |
anteju
force-pushed
the
pr/quantizer-base
branch
2 times, most recently
from
52def63
to
1d457b5
Compare
|
jenkins |
|
This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days. |
|
This PR was closed because it has been inactive for 7 days since being marked as stale. |
| @@ -402,7 +432,7 @@ def decode(self, indices: torch.Tensor, input_len: Optional[torch.Tensor] = None | |||
| return dequantized | |||
|
|
|||
|
|
|||
| class GroupFiniteScalarQuantizer(NeuralModule): | |||
| class GroupFiniteScalarQuantizer(VectorQuantizerBase): | |||
There was a problem hiding this comment.
If the quantizers have the same interface then would it make sense to have just 1 grouped quantizer implementation/interface? I guess there would need to be a small amount of logic to specify how the underlying codebooks are created.
There was a problem hiding this comment.
Yes, I had the same idea initially.
However, for now, I decided to leave them as separate implementations and only require them to conform with VectorQuantizerBase. The main reason is flexibility.
Unless there's a strong reason to do it right away, I'd suggest integrating this PR in the current form and revisit the group class in the future.
anteju
force-pushed
the
pr/quantizer-base
branch
from
1d457b5
to
7a06dfc
Compare
Signed-off-by: Ante Jukić <[email protected]>
anteju
force-pushed
the
pr/quantizer-base
branch
from
7a06dfc
to
08cbd76
Compare
|
jenkins |
Signed-off-by: Ante Jukić <[email protected]> Signed-off-by: Pratyush Muthukumar <[email protected]>
Signed-off-by: Ante Jukić <[email protected]> Signed-off-by: Pratyush Muthukumar <[email protected]>
This reverts commit a02fa8d.
Signed-off-by: Ante Jukić <[email protected]> Signed-off-by: stevehuang52 <[email protected]>
Signed-off-by: Ante Jukić <[email protected]> Signed-off-by: Sasha Meister <[email protected]>
Signed-off-by: Ante Jukić <[email protected]> Signed-off-by: Pablo Garay <[email protected]>
Signed-off-by: Ante Jukić <[email protected]>
What does this PR do ?
This PR adds an abstract base class for vector quantizers.
Collection: TTS
Changelog
VectorQuantizerBaseUsage
n/a
Jenkins CI
To run Jenkins, a NeMo User with write access must comment
jenkinson the PR.Before your PR is "Ready for review"
Pre checks:
PR Type:
If you haven't finished some of the above items you can still open "Draft" PR.
Who can review?
Anyone in the community is free to review the PR once the checks have passed.
Contributor guidelines contains specific people who can review PRs to various areas.
Additional Information