fix a few typos (#2451)

contrib/docker/README.md

@@ -40,7 +40,7 @@ Most _make_ targets are structured in the form `<action>_<compiler>`.  The `<act
 
 * Finally, **`make clean`** is available to clean up the BUILD-* and docker build directories.
 
-Note that all operations performed inside the the docker image are run as a regular user, using the `run-as-user.sh` script.  This is done to avoid writing root-owned files in mounted filesystems.
+Note that all operations performed inside the docker image are run as a regular user, using the `run-as-user.sh` script.  This is done to avoid writing root-owned files in mounted filesystems.
 
 ## Examples/Hints
 
@@ -124,7 +124,7 @@ BUILD-CLANG: clang 3.9
 pre-built LLVM
 ```
 
-#### CentOS 7.4 
+#### CentOS 7.4
 
 ```
 Dockerfile: Dockerfile.ngraph.centos74_gpu

src/ngraph/runtime/backend.hpp

@@ -151,7 +151,7 @@ class ngraph::runtime::Executable
     const ngraph::ResultVector& get_results() const;
 
 protected:
-    /// \brief Called at the end of compile to the the values to be returned by get_parameters
+    /// \brief Called at the end of compile to the values to be returned by get_parameters
     ///     and get_results
     /// \param func The function with Results fully resolved.
     void set_parameters_and_results(const Function& func);

src/ngraph/runtime/cpu/cpu_kernel_emitters.cpp

@@ -529,7 +529,7 @@ void ngraph::runtime::cpu::kernel::emit_sum(codegen::CodeWriter& writer,
     // If we don't have a zero index in the input, perform the sum
     if (find(arg0_shape.begin(), arg0_shape.end(), 0) == arg0_shape.end())
     {
-        // create the the interation variables without writing the for loops
+        // create the interation variables without writing the for loops
         vector<string> index_vars;
 
         for (size_t i = 0; i < arg0_shape.size(); i++)
@@ -604,7 +604,7 @@ void ngraph::runtime::cpu::kernel::emit_reduce(codegen::CodeWriter& writer,
     // If we don't have a zero index in the input, perform the sum
     if (find(arg0_shape.begin(), arg0_shape.end(), 0) == arg0_shape.end())
     {
-        // create the the interation variables without writing the for loops
+        // create the interation variables without writing the for loops
         vector<string> index_vars;
         for (size_t i = 0; i < arg0_shape.size(); i++)
         {

src/ngraph/runtime/cpu/pass/cpu_mat_fusion.cpp

@@ -306,7 +306,7 @@ bool runtime::cpu::pass::CPURnnMatFusion::run_on_function(std::shared_ptr<Functi
             NodeVector params = p.first;
             NodeVector& op_nodes = p.second;
 
-            // we will sort the captured Add(Dot(X, W) + B) as per the the slice ordering of X
+            // we will sort the captured Add(Dot(X, W) + B) as per the slice ordering of X
             // this will simplify the replace_node logic
             auto compare_slices = [&](const std::shared_ptr<Node> node1,
                                       const std::shared_ptr<Node> node2) {