Fix misspelling

tensorflow/lite/tools/benchmark/benchmark_performance_options.cc

@@ -334,7 +334,7 @@ void BenchmarkPerformanceOptions::Run() {
   // profiling listener etc. in each Run() invoke because such listeners may be
   // reset and become invalid in the next Run(). As a result, we record the
   // number of externally-added listeners here to prevent they're cleared later.
-  const int num_external_listners = single_option_run_->NumListeners();
+  const int num_external_listeners = single_option_run_->NumListeners();
 
   // Now perform all runs, each with different performance-affecting parameters.
   for (const auto& run_params : all_run_params_) {
@@ -349,7 +349,7 @@ void BenchmarkPerformanceOptions::Run() {
 
     // Clear internally created listeners before each run but keep externally
     // created ones.
-    single_option_run_->RemoveListeners(num_external_listners);
+    single_option_run_->RemoveListeners(num_external_listeners);
 
     all_run_stats_->MarkBenchmarkStart(*single_option_run_params_);
     single_option_run_->Run();

tensorflow/lite/tools/delegates/external_delegate_provider.cc

@@ -119,7 +119,7 @@ std::vector<Flag> ExternalDelegateProvider::CreateFlags(
                               "The library path for the underlying external."),
       CreateFlag<std::string>(
           "external_delegate_options", params,
-          "Comma-seperated options to be passed to the external delegate")};
+          "Comma-separated options to be passed to the external delegate")};
   return flags;
 }
 

tensorflow/lite/tools/evaluation/evaluation_delegate_provider.h

@@ -33,7 +33,7 @@ class DelegateProviders {
   DelegateProviders();
 
   // Initialize delegate-related parameters from commandline arguments and
-  // returns true if sucessful.
+  // returns true if successful.
   bool InitFromCmdlineArgs(int* argc, const char** argv);
 
   // Get all parameters from all registered delegate providers.

tensorflow/lite/tools/evaluation/evaluation_delegate_provider_test.cc

@@ -66,7 +66,7 @@ TEST(EvaluationDelegateProviderTest, GetAllParamsWithTfliteInferenceParams) {
   TfliteInferenceParams params;
   params.set_delegate(TfliteInferenceParams::NONE);
   params.set_num_threads(4);
-  // The same-meaning parameter in TfliteInferenceParams takes precendence.
+  // The same-meaning parameter in TfliteInferenceParams takes precedence.
   tools::ToolParams tool_params = providers.GetAllParams(params);
   EXPECT_EQ(4, tool_params.Get<int>("num_threads"));
   EXPECT_EQ(1, argc);

tensorflow/lite/tools/make/Makefile

@@ -246,7 +246,7 @@ BENCHMARK_LIB_SRCS := $(filter-out \
 	$(BENCHMARK_ALL_SRCS))
 
 # These target-specific makefiles should modify or replace options like
-# CXXFLAGS or LIBS to work for a specific targetted architecture. All logic
+# CXXFLAGS or LIBS to work for a specific targeted architecture. All logic
 # based on platforms or architectures should happen within these files, to
 # keep this main makefile focused on the sources and dependencies.
 include $(wildcard $(MAKEFILE_DIR)/targets/*_makefile.inc)

tensorflow/lite/tools/optimize/operator_property.h

@@ -86,7 +86,7 @@ struct OperatorProperty {
   bool restrict_same_input_output_scale = false;
 
   // Use same min of min and max of max for each group.
-  // Incompatable with restrict_same_input_output_scale and restricted_value.
+  // Incompatible with restrict_same_input_output_scale and restricted_value.
   // TODO(jianlijianli): make it compatible with other restrictions when there
   // is a use case.
   std::vector<std::vector<int>> restrict_scale = {};

tensorflow/lite/tools/optimize/python/modify_model_interface_lib.py

@@ -74,6 +74,6 @@ def modify_model_interface(input_file, output_file, input_type, output_type):
   # Throw an exception if the return status is an error.
   if status != 0:
     raise RuntimeError(
-        'Error occured when trying to modify the model input type from float '
+        'Error occurred when trying to modify the model input type from float '
         'to {input_type} and output type from float to {output_type}.'.format(
             input_type=input_type, output_type=output_type))

tensorflow/lite/tools/versioning/op_version.cc

@@ -110,7 +110,7 @@ int GetBuiltinOperatorVersion(const OpSignature& op_sig) {
       if (op_sig.input_types.size() == 2) {
         return 6;
       }
-      // `keep_num_dims` is supported at verison 5.
+      // `keep_num_dims` is supported at version 5.
       if (op_sig.options.fully_connected.keep_num_dims) {
         return 5;
       }