Fix typo

tensorflow/contrib/lite/toco/graph_transformations/resolve_tensorflow_merge.cc

@@ -32,7 +32,7 @@ bool ResolveTensorFlowMerge::Run(Model* model, std::size_t op_index) {
   }
 
   // We need to yield until this Merge node has only 1 input, which will mean
-  // that that is the selected input. Other graph transformations on other nodes
+  // that is the selected input. Other graph transformations on other nodes
   // such as ResolveTensorFlowSwitch, will take care of trimming the
   // non-selected inputs, so that at some point there will be only 1 input left.
   if (merge_op->inputs.size() > 1) {

tensorflow/go/op/wrappers.go

@@ -19595,7 +19595,7 @@ func ImageSummaryBadColor(value tf.Tensor) ImageSummaryAttr {
 //    generated sequentially as '*tag*/image/0', '*tag*/image/1', etc.
 //
 // The `bad_color` argument is the color to use in the generated images for
-// non-finite input values.  It is a `unit8` 1-D tensor of length `channels`.
+// non-finite input values.  It is a `uint8` 1-D tensor of length `channels`.
 // Each element must be in the range `[0, 255]` (It represents the value of a
 // pixel in the output image).  Non-finite values in the input tensor are
 // replaced by this tensor in the output image.  The default value is the color

tensorflow/python/profiler/tfprof_logger_test.py

@@ -38,7 +38,7 @@ def _BuildSmallModel(self):
     return math_ops.matmul(a, b)
 
   # pylint: disable=pointless-string-statement
-  """# TODO(xpan): This this out of core so it doesn't depend on contrib.
+  """# TODO(xpan): This out of core so it doesn't depend on contrib.
   def testFillMissingShape(self):
     a, b, y = self._BuildSmallPlaceholderlModel()
     run_options = config_pb2.RunOptions(