Fix typos (#12195)

tensorflow/contrib/cudnn_rnn/python/kernel_tests/cudnn_rnn_ops_test.py

@@ -286,14 +286,14 @@ class CudnnRNNTestSaveRestore(TensorFlowTestCase):
       save_path = os.path.join(self.get_temp_dir(),
                                "save-restore-variable-test")
       saver = saver_lib.Saver(write_version=saver_pb2.SaverDef.V2)
-      # Passing graph explictly, otherwise an old sess would be reused.
+      # Passing graph explicitly, otherwise an old sess would be reused.
       with self.test_session(
           use_gpu=True, graph=ops.get_default_graph()) as sess:
         sess.run(variables.global_variables_initializer())
         params_v = sess.run(params)
         val = saver.save(sess, save_path)
         self.assertEqual(save_path, val)
-      # Passing graph explictly, otherwise an old sess would be reused.
+      # Passing graph explicitly, otherwise an old sess would be reused.
       with self.test_session(
           use_gpu=True, graph=ops.get_default_graph()) as sess:
         reset_params = state_ops.assign(
@@ -328,14 +328,14 @@ class CudnnRNNTestSaveRestore(TensorFlowTestCase):
       save_path = os.path.join(self.get_temp_dir(),
                                "save-restore-variable-test")
       saver = saver_lib.Saver(write_version=saver_pb2.SaverDef.V2)
-      # Passing graph explictly, otherwise an old sess would be reused.
+      # Passing graph explicitly, otherwise an old sess would be reused.
       with self.test_session(
           use_gpu=True, graph=ops.get_default_graph()) as sess:
         sess.run(variables.global_variables_initializer())
         params_v = sess.run(param_vars)
         val = saver.save(sess, save_path)
         self.assertEqual(save_path, val)
-      # Passing graph explictly, otherwise an old sess would be reused.
+      # Passing graph explicitly, otherwise an old sess would be reused.
       with self.test_session(
           use_gpu=True, graph=ops.get_default_graph()) as sess:
         reset_params = [
@@ -398,14 +398,14 @@ class CudnnRNNTestSaveRestore(TensorFlowTestCase):
             params=params,
             is_training=False)
       total_sum = sum(map(math_ops.reduce_sum, outputs))
-      # Passing graph explictly, otherwise an old sess would be reused.
+      # Passing graph explicitly, otherwise an old sess would be reused.
       with self.test_session(
           use_gpu=True, graph=ops.get_default_graph()) as sess:
         sess.run(variables.global_variables_initializer())
         total_sum_v = sess.run(total_sum)
         val = saver.save(sess, save_path)
         self.assertEqual(save_path, val)
-      # Passing graph explictly, otherwise an old sess would be reused.
+      # Passing graph explicitly, otherwise an old sess would be reused.
       with self.test_session(
           use_gpu=True, graph=ops.get_default_graph()) as sess:
         reset_params = state_ops.assign(

tensorflow/contrib/mpi/mpi_utils.cc

@@ -61,7 +61,7 @@ void MPIUtils::InitMPI() {
     MPI_CHECK(MPI_Comm_size(MPI_COMM_WORLD, &number_of_procs));
     MPI_CHECK(MPI_Get_processor_name(my_host_name, &len));
     fprintf(stderr,
-            "MPI Environment initialised. Process id: %d Total processes: %d "
+            "MPI Environment initialized. Process id: %d Total processes: %d "
             "|| Hostname: %s \n",
             proc_id, number_of_procs, my_host_name);
   }

tensorflow/core/common_runtime/simple_placer.cc

@@ -682,7 +682,7 @@ Status SimplePlacer::Run() {
       int dst_root_id = colocation_graph.FindRoot(dst->id());
       auto& src_root = colocation_graph.members_[src_root_id];
       auto& dst_root = colocation_graph.members_[dst_root_id];
-      // If both the source node and this node have paritally
+      // If both the source node and this node have partially
       // specified a device, then 'node's device should be
       // cleared: the reference edge forces 'node' to be on the
       // same device as the source node.

tensorflow/core/protobuf/rewriter_config.proto

@@ -30,7 +30,7 @@ message RewriterConfig {
   // Fold constants (default is OFF)
   Toggle constant_folding = 3;
 
-  // If true, don't remove unecessary ops from the graph
+  // If true, don't remove unnecessary ops from the graph
   bool disable_model_pruning = 2;
 
   enum MemOptType {

tensorflow/python/framework/function.py

@@ -584,7 +584,7 @@ class _FuncGraph(ops.Graph):
   _FuncGraph overrides ops.Graph's create_op() so that we can keep
   track of all inputs into every op created inside the function.  If
   any input is from other graphs, we keep track of it in self.capture
-  and substitue the input with a place holder.
+  and substitute the input with a place holder.
 
   Each captured input's corresponding place holder is converted into a
   function argument and the caller passes in the captured tensor.

tensorflow/tools/docker/parameterized_docker_build.sh

@@ -13,7 +13,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 # ==============================================================================
-# Paramterized build and test for TensorFlow Docker images.
+# Parameterized build and test for TensorFlow Docker images.
 #
 # Usage:
 #   parameterized_docker_build.sh