| commit | 880cad85987e8948774f9bae24b1420074534f00 | [log] [tgz] |
|---|---|---|
| author | Derek Murray <mrry@google.com> | Fri Jan 10 20:36:58 2020 -0800 |
| committer | TensorFlower Gardener <gardener@tensorflow.org> | Fri Jan 10 20:39:35 2020 -0800 |
| tree | e9bd2aba727fcebaf3c0c79b3dbc99d4da203958 | |
| parent | 0f3c91c2bbeb4ccc0eebee00ae2c1783f4cf0fa9 [diff] |
[tf.data] Optimize SerializeManySparseOp implementation used in unbatching tf.SparseTensor.
This change makes the following optimizations:
1. Split the template specialization (between tstring and Variant) so that it
applies at the entire op level, rather than a per-element level. This permits
us to specialize for the (overwhelmingly more common) Variant case:
* Use `Variant::emplace()` instead of the move assignment operator to avoid
copying the inline data (viz. the TensorShape) in a Tensor.
2. Only set empty elements when the input is empty. Currently we call
setConstant() on the entire output to set empty elements. With this change
we only set those elements if there is no matching group in the input. This
prevents wasted work (i) in the assignment and (ii) in destroying the
unnecessarily assigned Tensors.
3. Introduce `sparse::Group::group_at()` to avoid the need for constructing a
temporary vector on each group access, only to access the 0th element.
4. Optimize `sparse::GroupIterable::GroupMatches()` to return immediately when a
mismatch is detected.
PiperOrigin-RevId: 289209832
Change-Id: I22df11bf474eab117307931908cef9c601d98226
Documentation |
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