| commit | dee5374f114cf2b3db3300aeae428bc715adf621 | [log] [tgz] |
|---|---|---|
| author | Berkin Ilbeyi <berkin@google.com> | Wed Sep 18 17:51:48 2019 -0700 |
| committer | TensorFlower Gardener <gardener@tensorflow.org> | Wed Sep 18 17:57:20 2019 -0700 |
| tree | d068dd45276321e81ed46c4432266f8e1215feaf | |
| parent | c52b1dd509f5d74d3dba2a215532e802482a3f8e [diff] |
[XLA] Memory space assignment improvements - It's no longer necessary to set schedules in the heap simulator. It's possible for memory space assignment to get flattened instruction sequence using the HloLiveRange object. - MemorySpaceAssignment::FixSchedule now uses the flattened sequence. It was previously using per-computation sequence which was wrong. - Instead of inserting CopyStart/CopyDone ops and coloring at the same time, now first insert all CopyStart/CopyDone's and then color the necessary HLOs. - Separating CopyStart/CopyDone insertion and coloring enables us to re-run HloAliasAnalysis once the graph is finalized. We now use alias analysis to propagate the color to all HLOs in the same buffer (instead of special casing for bitcasts and tuples etc.) - Support for embedded computations. Do not allow a CopyStart in one computation and its corresponding CopyDone in another. - Rely on defining position to disambiguate previous allocations that might point to the same tensor as opposed to using the producing instruction (which can be wrong when e.g. there are two separate GetTupleElement instructions with the same index that point to the same defining position but separate operand instructions). PiperOrigin-RevId: 269930471
Documentation |
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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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