OSSForks/tensorflow
1
0
Fork 0
mirror of https://github.com/zebrajr/tensorflow.git synced 2025-12-06 12:20:11 +01:00
Code Issues Actions 5 Packages Projects Releases Wiki Activity

[determinism] Enhance r2.6 release notes

Browse Source
This commit is contained in:
Duncan Riach 2021-07-06 19:46:16 -07:00
parent 6efc4052cb
commit 061f68283c
1 changed files with 20 additions and 0 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

20
RELEASE.md
View File

@ -102,6 +102,26 @@
* Fix `tf.summary.should_record_summaries()` so it correctly reflects when summaries will be written, even when `tf.summary.record_if()` is not n effect, by returning True tensor if default writer is present. * Fix `tf.summary.should_record_summaries()` so it correctly reflects when summaries will be written, even when `tf.summary.record_if()` is not n effect, by returning True tensor if default writer is present.
* Grappler: * Grappler:
* Disable default Grappler optimization timeout to make the optimization pipeline deterministic. This may lead to increased model loading time, because time spent in graph optimizations is now unbounded (was 20 minutes). * Disable default Grappler optimization timeout to make the optimization pipeline deterministic. This may lead to increased model loading time, because time spent in graph optimizations is now unbounded (was 20 minutes).
* Deterministic Op Functionality (enabled by setting `TF_DETERMINISTIC_OPS` to
`"true"` or `"1"`):
* Add a deterministic GPU implementation of
`tf.nn.softmax_cross_entropy_with_logits`. See PR
[49178](https://github.com/tensorflow/tensorflow/pull/49178).
* Add a deterministic CPU implementation of `tf.image.crop_and_resize`.
See PR [48905](https://github.com/tensorflow/tensorflow/pull/48905).
* Add determinism-unimplemented exception-throwing to the following ops.
When op-determinism is expected, an attempt to use the
specified paths through the following ops on a GPU will cause
`tf.errors.UnimplementedError` (with an understandable message) to be
thrown.
* `tf.nn.sparse_softmax_cross_entropy_with_logits` forwards and/or
backwards. See PR
[47925](https://github.com/tensorflow/tensorflow/pull/47925))
* `tf.image.crop_and_resize` gradient w.r.t. either `image` or
`boxes`. See PR
[48905](https://github.com/tensorflow/tensorflow/pull/48905).
* `tf.sparse.sparse_dense_matmul` forwards. See PR
[50355](https://github.com/tensorflow/tensorflow/pull/50355).
## Thanks to our Contributors ## Thanks to our Contributors