Merge remote-tracking branch 'origin/master' into r0.10

cmake/external_mkldnn.cmake

@@ -114,6 +114,7 @@ if(${CMAKE_VERSION} VERSION_LESS 3.2)
             -DCMAKE_CXX_COMPILER=${CMAKE_CXX_COMPILER}
             -DCMAKE_INSTALL_PREFIX=${EXTERNAL_PROJECTS_ROOT}/mkldnn
             -DMKLROOT=${MKL_ROOT}
+            "-DARCH_OPT_FLAGS=-march=${NGRAPH_TARGET_ARCH} -mtune=${NGRAPH_TARGET_ARCH}"
         TMP_DIR "${EXTERNAL_PROJECTS_ROOT}/mkldnn/tmp"
         STAMP_DIR "${EXTERNAL_PROJECTS_ROOT}/mkldnn/stamp"
         DOWNLOAD_DIR "${EXTERNAL_PROJECTS_ROOT}/mkldnn/download"
@@ -145,6 +146,7 @@ else()
             -DCMAKE_CXX_COMPILER=${CMAKE_CXX_COMPILER}
             -DCMAKE_INSTALL_PREFIX=${EXTERNAL_PROJECTS_ROOT}/mkldnn
             -DMKLROOT=${MKL_ROOT}
+            "-DARCH_OPT_FLAGS=-march=${NGRAPH_TARGET_ARCH} -mtune=${NGRAPH_TARGET_ARCH}"
         TMP_DIR "${EXTERNAL_PROJECTS_ROOT}/mkldnn/tmp"
         STAMP_DIR "${EXTERNAL_PROJECTS_ROOT}/mkldnn/stamp"
         DOWNLOAD_DIR "${EXTERNAL_PROJECTS_ROOT}/mkldnn/download"

doc/sphinx/source/branding-notice.rst

@@ -6,19 +6,22 @@
 Branding Notice
 ===============
 
-The Intel® nGraph™ library is an open source project providing code and component 
-reference for many kinds of machine learning, deep learning, and DNN applications. 
+The Intel® nGraph Library and Compiler stack is an open source project providing 
+code and component reference for many kinds of machine learning, deep learning, 
+and DNN applications. 
 
-Documentation may include references to frontend frameworks, modules, extensions, 
-or other libraries that may be wholly or partially open source, or that may be 
-claimed as the property of others.  
+Our documentation may include references to various frontends / frameworks, 
+modules, extensions, or other libraries that may be wholly or partially open 
+source, or that may be claimed as the property of others.
 
+Intel, the Intel logo and Intel Nervana are trademarks of Intel Corporation or 
+its subsidiaries in the U.S. and/or other countries.
 
-Intel nGraph library core documentation
----------------------------------------
+Documentation notice
+---------------------
 
 .. note:: The branding notice below applies to code and documentation 
-   contributions intended to be added directly to Intel nGraph library core.   
+   contributions intended to be added directly to the Intel nGraph repo.   
 
 Use the first or most prominent usage with symbols as described below.
 
@@ -39,14 +42,15 @@ repeated use of the trademark / branding symbols.
 
 * Intel® nGraph™
 
-* Intel® nGraph™ library 
+* Intel® nGraph Library 
 
-    * nGraph library
-    * ``ngraph`` API
-    * ``ngraph`` library
-    * ``ngraph`` backend
-    * nGraph abstraction layer
-    * neon™ frontend framework 
+* Intel® nGraph Compiler
+
+* Intel® nGraph Backend 
+
+* Intel® nGraph API 
+
+* Movidius™ Myriad™ 
 
 * Intel® Math Kernel Library
 
@@ -59,3 +63,20 @@ repeated use of the trademark / branding symbols.
 * Intel® Nervana™ Graph (deprecated)
 
 
+
+Optimization Notices
+====================
+
+Software and workloads used in performance tests may have been optimized for 
+performance only on Intel microprocessors. Performance tests, such as SYSmark 
+and MobileMark, are measured using specific computer systems, components, 
+software, operations and functions. Any change to any of those factors may 
+cause the results to vary. You should consult other information and performance 
+tests to assist you in fully evaluating your contemplated purchases, including 
+the performance of that product when combined with other products.  For more 
+complete information visit http://www.intel.com/benchmarks.  
+
+Intel technologies' features and benefits depend on system configuration and may 
+require enabled hardware, software or service activation. Performance varies 
+depending on system configuration. No computer system can be absolutely secure. 
+Check with your system manufacturer or retailer or learn more at intel.com. 

doc/sphinx/source/conf.py

@@ -62,7 +62,7 @@ source_suffix = '.rst'
 master_doc = 'index'
 
 # General information about the project.
-project = u'Intel® nGraph Library'
+project = u'nGraph Compiler stack'
 copyright = '2018, Intel Corporation'
 author = 'Intel Corporation'
 

doc/sphinx/source/index.rst

@@ -28,12 +28,13 @@ See the latest :doc:`project/release-notes`.
    :width: 599px
 
 
-nGraph is an open-source C++ library, compiler, and runtime accelerator for 
-software engineering in the :abbr:`Deep Learning (DL)` ecosystem. nGraph 
+nGraph is an open-source C++ library, compiler stack, and runtime accelerator 
+for software engineering in the :abbr:`Deep Learning (DL)` ecosystem. nGraph 
 simplifies development and makes it possible to design, write, compile, and
-deploy :abbr:`Deep Neural Network (DNN)`-based solutions. A more detailed 
-explanation of the feature set of nGraph Compiler, as well as a high-level 
-overview, can be found on our project :doc:`project/about`. 
+deploy :abbr:`Deep Neural Network (DNN)`-based solutions that can be adapted and 
+deployed across many frameworks and backends. A more detailed explanation, as
+well as a high-level overview, can be found on our project :doc:`project/about`.  
+For more generalized discussion on the ecosystem, see the `ecosystem`_ document.
 
 
 .. _quickstart:
@@ -89,7 +90,7 @@ We have many documentation pages to help you get started.
    Intel Movidius™ Myriad™ 2 (VPU), Coming soon, Yes
 
 
-.. note:: The Library code is under active development as we're continually 
+.. note:: The code in this repo is under active development as we're continually 
    adding support for more kinds of DL models and ops, compiler optimizations, 
    and backend optimizations.
 
@@ -131,3 +132,4 @@ Indices and tables
 .. _contributions: https://github.com/NervanaSystems/ngraph#how-to-contribute
 .. _TensorFlow bridge to nGraph: https://github.com/NervanaSystems/ngraph-tf/blob/master/README.md
 .. _Compiling MXNet with nGraph: https://github.com/NervanaSystems/ngraph-mxnet/blob/master/README.md
+.. _ecosystem: https://github.com/NervanaSystems/ngraph/blob/master/ecosystem-overview.md