Closed excelle08 closed 3 weeks ago
Name | Link |
---|---|
Latest commit | ec379508688e2cda07e7241378c459dbb5dfd697 |
Latest deploy log | https://app.netlify.com/sites/pytorch-fbgemm-docs/deploys/66c7a78f874f9d000899f66c |
Deploy Preview | https://deploy-preview-2995--pytorch-fbgemm-docs.netlify.app |
Preview on mobile | Toggle QR Code...Use your smartphone camera to open QR code link. |
To edit notification comments on pull requests, go to your Netlify site configuration.
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request was exported from Phabricator. Differential Revision: D61305979
This pull request has been merged in pytorch/FBGEMM@986e80c40dddcfa5ba198b24682e94fb1f0c162d.
Summary: Add a CPU nbit to float dequantization operator
torch.ops.fbgemm.FusedNBitRowwiseQuantizedSBHalfFrontToFloat
to support dequantization of int4 / int2 tensors which are oftorch.quintMxN
dtype andQuantizedCPU
backend. This is to support D61305982Differential Revision: D61305979