unpack through unified convolution interface #105
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Differential Revision: D16186932 fbshipit-source-id: 244fc2d614aeb4d768201a553efeb3058fe9efeb
Summary: Pull Request resolved: pytorch#105 Support for calling unpack using unified interface for packing convolution weights Reviewed By: jianyuh Differential Revision: D16190534 fbshipit-source-id: 28e1b95c7642c1cf9ed3d8935f56c740f9b44bcd
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This pull request has been merged in e69972d. |
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Summary: X-link: pytorch#3010 Pull Request resolved: facebookresearch/FBGEMM#105 Refactor MX4 quantization to support per row padding as efficiently as possible. We do this in a cool way where we now support loading 2D blocks to make sure each thread has enough to work on. Using this approach, we should be able to apply padding to each row for effectively no cost. Reviewed By: sryap Differential Revision: D61447274 fbshipit-source-id: 13825d36c9eb759af260e03f73d6802c5bb164a6
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Summary: Support for calling unpack using unified interface for packing convolution weights
Differential Revision: D16190534