| commit | f18697daa15744e7fc51caf5f0a2da40904dede2 | [log] [tgz] |
|---|---|---|
| author | Derek Murray <mrry@google.com> | Mon Mar 16 22:39:17 2020 -0700 |
| committer | TensorFlower Gardener <gardener@tensorflow.org> | Mon Mar 16 22:42:49 2020 -0700 |
| tree | f44335d7a441ebf018fbf83357067a939ff5fe75 | |
| parent | 489126360df1b48a44f99fda2397c803053aba35 [diff] |
[tf.data] Several optimizations for the graph hashing code. 1. Avoid copying the `GraphDef` each time a `GraphHasher` is created. The graph always outlives the hasher, so an unowned pointer is acceptable here. Should save O(#nodes) copies. 2. Use the same `FunctionLibraryDefinition` for all hashing. Previously we were converting it to and from a submessage of `GraphDef`, which led to a lot of copies, dynamic allocations, etc. Instead, we either build it once for the root node, or (ideally) the user passes in an already-constructed library, then we use that for all nodes. Since the function library typically has O(1) functions per node, this saves O(#nodes^2) copies. PiperOrigin-RevId: 301307984 Change-Id: I6e28ffd1df908840e946e43d3be3dc2f5106eb55
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TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.
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| macOS |  | PyPI |
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| Linux AMD ROCm GPU Stable Release | Release 1.15 / 2.x | |
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