Avijit/r0.10.0-rc1 (#408)

Author: avijit-nervana

CMakeLists.txt

@@ -239,7 +239,7 @@ if (NOT USE_PRE_BUILT_NGRAPH)
     ExternalProject_Add(
         ext_ngraph
         GIT_REPOSITORY https://github.com/NervanaSystems/ngraph
-        GIT_TAG v0.12.0-rc.0
+        GIT_TAG v0.12.0-rc.1
         CMAKE_ARGS 
             -DNGRAPH_DISTRIBUTED_ENABLE=${NGRAPH_DISTRIBUTED_ENABLE}
             -DNGRAPH_INSTALL_PREFIX=${NGRAPH_ARTIFACTS_DIR}

README.md

@@ -84,7 +84,7 @@ The installation prerequisites are the same as described in the TensorFlow
 
         git clone https://github.com/NervanaSystems/ngraph-tf.git
         cd ngraph-tf
-        git checkout v0.10.0-rc0
+        git checkout v0.10.0-rc1
 
 
 2. Next run the following Python script to build TensorFlow, nGraph and the bridge. Please use Python 3.5:

build_ngtf.py

@@ -432,7 +432,7 @@ def main():
     #-------------------------------
 
     # Component versions
-    ngraph_version = "v0.12.0-rc.0"
+    ngraph_version = "v0.12.0-rc.1"
     tf_version = "v1.12.0"
 
     # Default directories

python/setup.in.py

@@ -39,7 +39,7 @@ def get_tag(self):
 
 setup( 
     name='ngraph_tensorflow_bridge',
-    version='0.10.0-rc0',
+    version='0.10.0-rc1',
     description='Intel nGraph compiler and runtime for TensorFlow',
     long_description=long_description,
     long_description_content_type="text/markdown",

src/version.cc

@@ -27,7 +27,7 @@
 // The version suffix is used for pre-release version numbers
 // For example before v0.7.0 we may do a pre-release i.e., a release
 // candidate such as v0.7.0-rc0
-#define NG_TF_VERSION_SUFFIX "-rc0"
+#define NG_TF_VERSION_SUFFIX "-rc1"
 
 #define VERSION_STR_HELPER(x) #x
 #define VERSION_STR(x) VERSION_STR_HELPER(x)