Fix typos

tensorflow/compiler/xla/service/layout_assignment.cc

@@ -1303,7 +1303,7 @@ Status LayoutAssignment::AssignLayouts(const LayoutConstraints& constraints,
     TF_RET_CHECK(LayoutUtil::HasLayout(instruction->shape()));
   }
 
-  // Copy the root instrucion's result if the it does not match the result
+  // Copy the root instruction's result if the it does not match the result
   // layout constraint
   if (constraints.ResultLayout() != nullptr &&
       !constraints.ResultLayout()->MatchesLayoutInShape(

tensorflow/contrib/lite/nnapi/NeuralNetworksShim.h

@@ -108,7 +108,7 @@ enum {
  * The type of operations that can be added to a model.
  */
 enum {
-  /** Adds two tensors, elment-wise.
+  /** Adds two tensors, element-wise.
    *
    * Takes two input tensors of identical type and compatible dimensions. The
    * output is the sum of both input tensors, optionally modified by an
@@ -743,7 +743,7 @@ enum {
    */
   ANEURALNETWORKS_MAX_POOL_2D = 17,
 
-  /** Multiplies two tensors, elment-wise.
+  /** Multiplies two tensors, element-wise.
    *
    * Takes two input tensors of identical type and compatible dimensions. The
    * output is the product of both input tensors, optionally modified by an

tensorflow/core/profiler/internal/tfprof_node.cc

@@ -80,10 +80,10 @@ void ExecStep::AddTimeStats(const string& dev, const NodeExecStats& step_stat) {
 
 void ExecStep::AddMemoryStats(const string& dev,
                               const NodeExecStats& step_stat) {
-  if (exec_.memory_intialized()) {
+  if (exec_.memory_initialized()) {
     return;
   }
-  exec_.set_memory_intialized(true);
+  exec_.set_memory_initialized(true);
 
   int accelerator_allocator_cnt = 0;
   for (const auto& mem : step_stat.memory()) {

tensorflow/core/profiler/tfprof_log.proto

@@ -133,7 +133,7 @@ message ExecProfile {
   // The total number of bytes currently allocated by the allocator if >0.
   int64 allocator_bytes_in_use = 15;
 
-  bool memory_intialized = 16;
+  bool memory_initialized = 16;
 }
 
 message ExecTime {

tensorflow/stream_executor/dnn.h

@@ -1132,7 +1132,7 @@ class DnnSupport {
   //    space in order to speed up the convolution operation.
   //  algorithm: an integer to specify which algorithm should be used for the
   //    operation. kDefaultAlgorithm means the system will pick an algorithm
-  //    by default. The coding of the algorithm is be interpretted by the
+  //    by default. The coding of the algorithm is be interpreted by the
   //    underlying implementation.
   //  output_profile_result: the output profile result for this call. The
   //    profiling is only enabled when this is not nullptr.

tensorflow/tools/ci_build/builds/pip.sh

@@ -345,7 +345,7 @@ do_clean_virtualenv_smoke_test() {
   then
     echo "Smoke test of tensorflow install in clean virtualenv PASSED."
   else
-    echo "Smoke test of tensroflow install in clean virtualenv FAILED."
+    echo "Smoke test of tensorflow install in clean virtualenv FAILED."
     return 1
   fi