From ce32228c49e595f966485acee947131e4ab04905 Mon Sep 17 00:00:00 2001 From: "A. Unique TensorFlower" Date: Sat, 7 Jan 2017 09:19:27 -0800 Subject: Add release notes for Intel MKL integration. PiperOrigin-RevId: 157722003 --- RELEASE.md | 9 +++++++++ 1 file changed, 9 insertions(+) (limited to 'RELEASE.md') diff --git a/RELEASE.md b/RELEASE.md index ec24d6fd80..1590aabfef 100644 --- a/RELEASE.md +++ b/RELEASE.md @@ -39,6 +39,15 @@ be replaced by calling `embedding_lookup` or `layers.dense` as pre- or post- processing of the rnn. For RNN decoding, this functionality has been replaced with an alternative API in `tf.contrib.seq2seq`. +* Intel MKL Integration (https://software.intel.com/en-us/articles/tensorflow-optimizations-on-modern-intel-architecture). Intel developed a number of + optimized deep learning primitives: In addition to matrix multiplication and + convolution, these building blocks include: + Direct batched convolution + Pooling: maximum, minimum, average + Normalization: LRN, batch normalization + Activation: rectified linear unit (ReLU) + Data manipulation: multi-dimensional transposition (conversion), split, + concat, sum and scale. ## Bug Fixes and Other Changes * In python, `Operation.get_attr` on type attributes returns the Python DType -- cgit v1.2.3