Updated version numbers

Author: avijit-nervana

CMakeLists.txt

@@ -133,7 +133,7 @@ option(NGRAPH_DISTRIBUTED_ENABLE "Add distributed mode to the CPU backend" FALSE
 ExternalProject_Add(
     ext_ngraph
     GIT_REPOSITORY https://github.com/NervanaSystems/ngraph
-    GIT_TAG v0.9.1-rc.0
+    GIT_TAG v0.9.1
     CMAKE_ARGS 
         -DNGRAPH_DISTRIBUTED_ENABLE=${NGRAPH_DISTRIBUTED_ENABLE}
         -DNGRAPH_INSTALL_PREFIX=${CMAKE_CURRENT_BINARY_DIR}/ngraph/ngraph_dist 

README.md

@@ -38,12 +38,12 @@ a variety of nGraph-enabled backends: CPU, GPU, and custom silicon like the
 
         pip install -U tensorflow
 
-3. Checkout `v0.7.0-rc0` from the `ngraph-tf` repo and build the bridge
+3. Checkout `v0.7.0-rc1` from the `ngraph-tf` repo and build the bridge
    as follows: 
 
         git clone https://github.com/NervanaSystems/ngraph-tf.git
         cd ngraph-tf
-        git checkout v0.7.0-rc0
+        git checkout v0.7.0-rc1
         mkdir build
         cd build
         cmake ..
@@ -138,7 +138,7 @@ The installation prerequisites are the same as described in the TensorFlow
         cd ..
         git clone https://github.com/NervanaSystems/ngraph-tf.git
         cd ngraph-tf
-        git checkout v0.7.0-rc0
+        git checkout v0.7.0-rc1
 
 
 7. Next, build and install nGraph bridge. 
@@ -179,7 +179,7 @@ Once the pip package is built, install replacing the `tensorflow-1.*` with your
    version of TensorFlow:
 
         pip install -U ./tensorflow-1.*whl
-        
+
 For this final option, there is **no need to separately build `ngraph-tf` or to 
 use `pip` to install the ngraph module**. With this configuration, your TensorFlow 
 model scripts will work without any changes.