From c55943eb30056dc94cf22be6a83fd71c47f541c4 Mon Sep 17 00:00:00 2001
From: mshr-h <mshr-h@users.noreply.github.com>
Date: Wed, 29 Apr 2020 21:10:09 +0900
Subject: [PATCH] Fix misspelling
---
.../lite/tools/benchmark/benchmark_performance_options.cc | 4 ++--
tensorflow/lite/tools/delegates/external_delegate_provider.cc | 2 +-
.../lite/tools/evaluation/evaluation_delegate_provider.h | 2 +-
.../tools/evaluation/evaluation_delegate_provider_test.cc | 2 +-
tensorflow/lite/tools/make/Makefile | 2 +-
tensorflow/lite/tools/optimize/operator_property.h | 2 +-
.../lite/tools/optimize/python/modify_model_interface_lib.py | 2 +-
tensorflow/lite/tools/versioning/op_version.cc | 2 +-
8 files changed, 9 insertions(+), 9 deletions(-)
diff --git a/tensorflow/lite/tools/benchmark/benchmark_performance_options.cc b/tensorflow/lite/tools/benchmark/benchmark_performance_options.cc
index 26fed5e279f..cafef6fa133 100644
--- a/tensorflow/lite/tools/benchmark/benchmark_performance_options.cc
+++ b/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();
diff --git a/tensorflow/lite/tools/delegates/external_delegate_provider.cc b/tensorflow/lite/tools/delegates/external_delegate_provider.cc
index 95b0e42802f..193860820b1 100644
--- a/tensorflow/lite/tools/delegates/external_delegate_provider.cc
+++ b/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;
}
diff --git a/tensorflow/lite/tools/evaluation/evaluation_delegate_provider.h b/tensorflow/lite/tools/evaluation/evaluation_delegate_provider.h
index 36f80469a97..9ff20d630ce 100644
--- a/tensorflow/lite/tools/evaluation/evaluation_delegate_provider.h
+++ b/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.
diff --git a/tensorflow/lite/tools/evaluation/evaluation_delegate_provider_test.cc b/tensorflow/lite/tools/evaluation/evaluation_delegate_provider_test.cc
index c2dfa8d0360..5d0a4dfa7d3 100644
--- a/tensorflow/lite/tools/evaluation/evaluation_delegate_provider_test.cc
+++ b/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);
diff --git a/tensorflow/lite/tools/make/Makefile b/tensorflow/lite/tools/make/Makefile
index ad3832f9962..41f87fb033d 100644
--- a/tensorflow/lite/tools/make/Makefile
+++ b/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)
diff --git a/tensorflow/lite/tools/optimize/operator_property.h b/tensorflow/lite/tools/optimize/operator_property.h
index 995595e7878..95b0e5000c3 100644
--- a/tensorflow/lite/tools/optimize/operator_property.h
+++ b/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 = {};
diff --git a/tensorflow/lite/tools/optimize/python/modify_model_interface_lib.py b/tensorflow/lite/tools/optimize/python/modify_model_interface_lib.py
index 5e4bf99ccdf..782d88cbc9b 100644
--- a/tensorflow/lite/tools/optimize/python/modify_model_interface_lib.py
+++ b/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))
diff --git a/tensorflow/lite/tools/versioning/op_version.cc b/tensorflow/lite/tools/versioning/op_version.cc
index 0b892cf847f..e60865b85a8 100644
--- a/tensorflow/lite/tools/versioning/op_version.cc
+++ b/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;
}