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authorGravatar Vijay Vasudevan <vrv@google.com>2015-12-08 14:55:13 -0800
committerGravatar Vijay Vasudevan <vrv@google.com>2015-12-08 14:55:13 -0800
commit2c3738db9c4df83adc1aff29f5cb0e9735dd5eac (patch)
tree0d187dafeddfabaf9cd5ac4b491001dd0d639ee4 /RELEASE.md
parentddd4aaf5286de24ba70402ee0ec8b836d3aed8c7 (diff)
TensorFlow: Upstream changes to git.
Change 109730179 Add support for selecting partition strategy in tf.nn.embedding_lookup and related ops, and allow unequally-sized shards to be used as input. Change 109729548 TensorFlow: add RELEASE.md notes for 0.6.0. Change 109728185 Make seq2seq_test non-flaky by setting python and numpy random seed. Change 109725913 Refactor slot creation in optimizers and moving averages to separate file Change 109718024 TensorFlow: reduce runtime of seq2seq_test from ~30s to ~18s. Change 109712251 More performance improvement for convnet on GPU. + Switch forward convolution format to NCHW. + Allocate scratch space for forward- and backward- convolutions. + Users can use "TF_CUDNN_WORKSPACE_LIMIT_IN_MB" to configure the scratch space limit. The default limit in 1GB. Change 109710898 Added extract_sub_graph utility function Base CL: 109731609
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+# Release 0.6.0
+
+## Major Features and Improvements
+
+* Python 3.3+ support via changes to python codebase and ability
+ to specify python version via ./configure.
+
+* Some improvements to GPU performance and memory usage:
+ [convnet benchmarks](https://github.com/soumith/convnet-benchmarks/issues/66)
+ roughly equivalent with native cudnn v2 performance. Improvements mostly due
+ to moving to 32-bit indices, faster shuffling kernels. More improvements to
+ come in later releases.
+
+
+## Bug fixes
+
+* Lots of fixes to documentation and tutorials, many contributed
+ by the public.
+
+* 271 closed issues on github issues.
+
+## Backwards-incompatible changes
+
+* tf.nn.fixed_unigram_candidate_sampler changed its default 'distortion'
+ attribute from 0.0 to 1.0. This was a bug in the original release
+ that is now fixed.
+
# Release 0.5.0
Initial release of TensorFlow.