Missing checkin

doc/sphinx/source/glossary.rst

@@ -7,35 +7,57 @@ Glossary
 
 .. glossary::
 
+   backend
+
+      A component that can execute computations.
+
+   bridge
+
+      A component of nGraph that acts as a backend for a framework,
+      allowing the framework to define and execute computations.
+
+   framework
+
+      A machine learning environment, such as TensorFlow, MXNet, or
+      neon.
+
    function graph
-	     The Intel nGraph library uses a function graph to represent an ``op``'s
-	     parameters and results.
+
+      The Intel nGraph library uses a function graph to represent an
+      ``op``'s parameters and results.
 
    op
-      An op represents an operation. Ops are stateless and have zero or more 
-      inputs and zero or more outputs. Some ops have additional constant 
-      attributes. Every output of an op corresponds to a tensor and has an 
-      element type and a shape. The element types and shapes of the outputs of 
-      an op are determined by the inputs and attributes of the op.
 
-   tensors
-     Tensors are maps from *coordinates* to scalar values, all of the same type, 
-     called the *element type* of the tensor.
+      An op represents an operation. Ops are stateless and have zero
+      or more inputs and zero or more outputs. Some ops have
+      additional constant attributes. Every output of an op
+      corresponds to a tensor and has an element type and a shape. The
+      element types and shapes of the outputs of an op are determined
+      by the inputs and attributes of the op.
 
    parameter
-	    In the context of a function graph, a "parameter" refers to what "stands 
-      in" for an argument in an ``op`` definition.
+
+      In the context of a function graph, a "parameter" refers to what
+      "stands in" for an argument in an ``op`` definition.
 
    result
-       In the context of a function graph, the term "result" refers to what 
-       stands in for the returned value.
+
+      In the context of a function graph, the term "result" refers to
+      what stands in for the returned value.
 
    shape
-       The shape of a tensor is a tuple of non-negative integers that represents an  
-       exclusive upper bound for coordinate values.
+
+      The shape of a tensor is a tuple of non-negative integers that
+      represents an exclusive upper bound for coordinate values.
 
    step
-       An abstract "action" that produces zero or more tensor outputs from zero or more tensor 
-       inputs. Steps correspond to *ops* that connect *nodes*.
+
+      An abstract "action" that produces zero or more tensor outputs
+      from zero or more tensor inputs. Steps correspond to *ops* that
+      connect *nodes*.
            
+   tensors
+
+      Tensors are maps from *coordinates* to scalar values, all of the
+      same type, called the *element type* of the tensor.
 

doc/sphinx/source/index.rst

@@ -54,6 +54,7 @@ Sections
    testing-libngraph.rst
    framework-integration-guides.rst
    graph-basics.rst
+   howto/execute.rst
    ops/index.rst
    project/index.rst