| commit | 8df51a84ac3ed036a4b66f0da623ac4dc345beee | [log] [tgz] |
|---|---|---|
| author | Ahmed Taei <ataei@fb.com> | Thu May 11 09:31:08 2017 -0700 |
| committer | Facebook Github Bot <facebook-github-bot@users.noreply.github.com> | Thu May 11 09:32:54 2017 -0700 |
| tree | a863727f55efbebe6dabb4d8c76ef60fa7a0b78a | |
| parent | a23b378052095e62740aabf095ecb77d28463fce [diff] |
Support 3D&1D SpatialBatchNorm[CPU] Summary: Generalize SpatialBatchNorm CPU Op to compute Spatial batch normalization for 1D, 2D & 3D input tensors. Reviewed By: dutran Differential Revision: D5043563 fbshipit-source-id: 7fcb933a628dd47f13aa622f63601a87382f09cd
Caffe2 is a lightweight, modular, and scalable deep learning framework. Building on the original Caffe, Caffe2 is designed with expression, speed, and modularity in mind.
Please use Github issues (https://github.com/caffe2/caffe2/issues) to ask questions, report bugs, and request new features.
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Caffe2 is released under the BSD 2-Clause license.
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