| commit | 4b1ebd2f65e49d251ac2cfdb635794c7c6eb362f | [log] [tgz] |
|---|---|---|
| author | Kevin Matzen <matzen@fb.com> | Mon Jul 10 17:38:40 2017 -0700 |
| committer | Facebook Github Bot <facebook-github-bot@users.noreply.github.com> | Mon Jul 10 17:52:22 2017 -0700 |
| tree | 4536785cc3177ca9ad61bd6ee29013c3b3f294f2 | |
| parent | c096c188c3a36d00a58526c68db2ee2209d1dcfa [diff] |
Fast path for serializing large floating-point tensors to protobuf Summary: Our existing serialization routines take a significant amount of time for large numpy arrays in order to verify the type of each element in the array as well as converting each element to a canonical type. For large floating-point tensors, such as model parameters, this checking and converting takes a significant amount of time. Adding a fast track path for just float32 arrays as this is the most common use case to worry about. Reviewed By: akyrola Differential Revision: D5389953 fbshipit-source-id: 26f44cb2426ea3efb849e7707b27d5485f69956c
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