tensorflow · Wentong-DST · Feb 12, 2020
diff --git a/tensorflow_serving/model_servers/get_model_status_impl_test.cc b/tensorflow_serving/model_servers/get_model_status_impl_test.cc
@@ -136,7 +136,7 @@ TEST_F(GetModelStatusImplTest, AllVersionsSuccess) {
   ModelSpec* model_spec = request.mutable_model_spec();
   model_spec->set_name(kTestModelName);
 
-  // If two versions of model are managed by ServerCore, succesfully get model
+  // If two versions of model are managed by ServerCore, successfully get model
   // status for both versions of the model.
   TF_EXPECT_OK(
       GetModelStatusImpl::GetModelStatus(GetServerCore(), request, &response));

diff --git a/tensorflow_serving/model_servers/http_rest_api_handler.h b/tensorflow_serving/model_servers/http_rest_api_handler.h
@@ -67,7 +67,7 @@ class HttpRestApiHandler {
   // HTTP server, so incoming requests can be forwarded to this handler.
   static const char* const kPathRegex;
 
-  // API calls are configured to timeout after `run_optons.timeout_in_ms`.
+  // API calls are configured to timeout after `run_options.timeout_in_ms`.
   // `core` is not owned and is expected to outlive HttpRestApiHandler
   // instance.
   HttpRestApiHandler(const RunOptions& run_options, ServerCore* core);

diff --git a/tensorflow_serving/model_servers/server_core_test.cc b/tensorflow_serving/model_servers/server_core_test.cc
@@ -843,7 +843,7 @@ TEST_P(ServerCoreTest, AssignExistingLabelToUnavailableVersion) {
       test_util::kTestModelLargerVersion;
   TF_ASSERT_OK(server_core->ReloadConfig(two_version_config));
 
-  // Attempt to assign an exsiting label to a different version that isn't
+  // Attempt to assign an existing label to a different version that isn't
   // one of the loaded ones.
   ASSERT_EQ(1, two_version_config.model_config_list().config().size());
   model_config =

diff --git a/tensorflow_serving/oss_or_google.bzl b/tensorflow_serving/oss_or_google.bzl
@@ -1,5 +1,5 @@
 """
-Module for build utilities to distiguish different build environment.
+Module for build utilities to distinguish different build environment.
 """
 
 # Whether the compilation environment is open source environment.

diff --git a/tensorflow_serving/servables/tensorflow/classifier.cc b/tensorflow_serving/servables/tensorflow/classifier.cc
@@ -261,7 +261,7 @@ Status PostProcessClassificationResult(
   // Tensor.
   int num_classes = 0;
   if (classes && scores) {
-    // If we have both Tensors they should agree in the second dimmension.
+    // If we have both Tensors they should agree in the second dimension.
     if (classes->dim_size(1) != scores->dim_size(1)) {
       return errors::InvalidArgument(
           "Tensors class and score should match in dim_size(1). Got ",

diff --git a/tensorflow_serving/servables/tensorflow/classifier_test.cc b/tensorflow_serving/servables/tensorflow/classifier_test.cc
@@ -226,15 +226,15 @@ void AddNamedSignatureToSavedModelBundle(
   TensorInfo scores_tensor_info;
   scores_tensor_info.set_name(output_scores_tensor_name);
   (*sig_def.mutable_outputs())["scores"] = scores_tensor_info;
-  string methond_name = "tensorflow/serving/regress";
+  string method_name = "tensorflow/serving/regress";
   if (is_classification) {
     TensorInfo class_tensor_info;
     class_tensor_info.set_name(kClassTensor);
     (*sig_def.mutable_outputs())["classes"] = class_tensor_info;
 
-    methond_name = "tensorflow/serving/classify";
+    method_name = "tensorflow/serving/classify";
   }
-  sig_def.set_method_name(methond_name);
+  sig_def.set_method_name(method_name);
   (*signature_defs)[signature_name] = sig_def;
 }
 
@@ -379,7 +379,7 @@ TEST_F(ClassifierTest, ExampleListWithContext) {
       request_.mutable_input()->mutable_example_list_with_context();
   // Context gets copied to each example.
   *list_and_context->mutable_context() = example({{"dos", 2}, {"uno", 1}});
-  // Add empty examples to recieve the context.
+  // Add empty examples to receive the context.
   list_and_context->add_examples();
   list_and_context->add_examples();
   TF_ASSERT_OK(classifier_->Classify(request_, &result_));

diff --git a/tensorflow_serving/servables/tensorflow/multi_inference_helper_test.cc b/tensorflow_serving/servables/tensorflow/multi_inference_helper_test.cc
@@ -178,7 +178,7 @@ TEST_F(MultiInferenceTest, EvaluateDuplicateSignaturesTest) {
                     "Duplicate evaluation of signature: regress_x_to_y");
 }
 
-TEST_F(MultiInferenceTest, UsupportedSignatureTypeTest) {
+TEST_F(MultiInferenceTest, UnsupportedSignatureTypeTest) {
   MultiInferenceRequest request;
   AddInput({{"x", 2}}, &request);
   PopulateTask("serving_default", kPredictMethodName, -1, request.add_tasks());

diff --git a/tensorflow_serving/servables/tensorflow/multi_inference_test.cc b/tensorflow_serving/servables/tensorflow/multi_inference_test.cc
@@ -230,7 +230,7 @@ TEST_F(MultiInferenceTest, EvaluateDuplicateSignaturesTest) {
       "Duplicate evaluation of signature: regress_x_to_y");
 }
 
-TEST_F(MultiInferenceTest, UsupportedSignatureTypeTest) {
+TEST_F(MultiInferenceTest, UnsupportedSignatureTypeTest) {
   std::unique_ptr<TensorFlowMultiInferenceRunner> inference_runner;
   TF_ASSERT_OK(GetInferenceRunner(&inference_runner));
 

diff --git a/tensorflow_serving/servables/tensorflow/predict_impl_test.cc b/tensorflow_serving/servables/tensorflow/predict_impl_test.cc
@@ -314,7 +314,7 @@ TEST_F(PredictImplTest, PredictionWithNamedClassificationSignature) {
 // customized signatures. It calls get_counter, incr_counter,
 // reset_counter, incr_counter, and incr_counter_by(3) in order.
 //
-// *Notes*: These signatures are stateful and over-simplied only to demonstrate
+// *Notes*: These signatures are stateful and over-simplified only to demonstrate
 // Predict calls with only inputs or outputs. State is not supported in
 // TensorFlow Serving on most scalable or production hosting environments.
 TEST_F(PredictImplTest, PredictionWithCustomizedSignatures) {

diff --git a/tensorflow_serving/servables/tensorflow/predict_util_test.cc b/tensorflow_serving/servables/tensorflow/predict_util_test.cc
@@ -351,7 +351,7 @@ TEST_F(PredictImplTest, PredictionWithNamedClassificationSignature) {
 // customized signatures. It calls get_counter, incr_counter,
 // reset_counter, incr_counter, and incr_counter_by(3) in order.
 //
-// *Notes*: These signatures are stateful and over-simplied only to demonstrate
+// *Notes*: These signatures are stateful and over-simplified only to demonstrate
 // Predict calls with only inputs or outputs. State is not supported in
 // TensorFlow Serving on most scalable or production hosting environments.
 TEST_F(PredictImplTest, PredictionWithCustomizedSignatures) {

diff --git a/tensorflow_serving/servables/tensorflow/regressor_test.cc b/tensorflow_serving/servables/tensorflow/regressor_test.cc
@@ -181,25 +181,25 @@ void AddNamedSignatureToSavedModelBundle(
     tensorflow::MetaGraphDef* meta_graph_def) {
   auto* signature_defs = meta_graph_def->mutable_signature_def();
   SignatureDef sig_def;
-  string methond_name;
+  string method_name;
   if (is_regression) {
     TensorInfo input_tensor_info;
     input_tensor_info.set_name(input_tensor_name);
     (*sig_def.mutable_inputs())["inputs"] = input_tensor_info;
     TensorInfo scores_tensor_info;
     scores_tensor_info.set_name(output_scores_tensor_name);
     (*sig_def.mutable_outputs())["outputs"] = scores_tensor_info;
-    methond_name = "tensorflow/serving/regress";
+    method_name = "tensorflow/serving/regress";
   } else {
     TensorInfo input_tensor_info;
     input_tensor_info.set_name(input_tensor_name);
     (*sig_def.mutable_inputs())["inputs"] = input_tensor_info;
     TensorInfo class_tensor_info;
     class_tensor_info.set_name(kOutputPlusOneTensor);
     (*sig_def.mutable_outputs())["classes"] = class_tensor_info;
-    methond_name = "tensorflow/serving/classify";
+    method_name = "tensorflow/serving/classify";
   }
-  sig_def.set_method_name(methond_name);
+  sig_def.set_method_name(method_name);
   (*signature_defs)[signature_name] = sig_def;
 }
 

diff --git a/tensorflow_serving/servables/tensorflow/saved_model_warmup.cc b/tensorflow_serving/servables/tensorflow/saved_model_warmup.cc
@@ -142,7 +142,7 @@ Status RunSavedModelWarmup(const ModelWarmupOptions& model_warmup_options,
     ++num_warmup_records;
     if (num_warmup_records > WarmupConsts::kMaxNumRecords) {
       return errors::InvalidArgument(
-          "Number of warmup records exceeeds the maximum (",
+          "Number of warmup records exceeds the maximum (",
           WarmupConsts::kMaxNumRecords, ") at ", warmup_path);
     }
     status = tf_record_file_reader->ReadRecord(&record);

diff --git a/tensorflow_serving/servables/tensorflow/saved_model_warmup_test.cc b/tensorflow_serving/servables/tensorflow/saved_model_warmup_test.cc
@@ -375,7 +375,7 @@ TEST(SavedModelBundleWarmupTest, TooManyWarmupRecords) {
   EXPECT_EQ(::tensorflow::error::INVALID_ARGUMENT, status.code()) << status;
   EXPECT_THAT(
       status.ToString(),
-      ::testing::HasSubstr("Number of warmup records exceeeds the maximum"));
+      ::testing::HasSubstr("Number of warmup records exceeds the maximum"));
 }
 
 TEST(SavedModelBundleWarmupTest, UnparsableRecord) {

diff --git a/tensorflow_serving/servables/tensorflow/testdata/export_counter.py b/tensorflow_serving/servables/tensorflow/testdata/export_counter.py
@@ -54,7 +54,7 @@ def export_model(output_dir):
 
   Create three signatures: incr_counter, incr_counter_by, reset_counter.
 
-  *Notes*: These signatures are stateful and over-simplied only to demonstrate
+  *Notes*: These signatures are stateful and over-simplified only to demonstrate
   Predict calls with only inputs or outputs. State is not supported in
   TensorFlow Serving on most scalable or production hosting environments.
 

diff --git a/tensorflow_serving/session_bundle/oss/session_bundle_util_test.cc b/tensorflow_serving/session_bundle/oss/session_bundle_util_test.cc
@@ -89,7 +89,7 @@ TEST(SessionBundleTest, LoadSessionBundleOrSavedModelBundleFailureTest) {
 TEST(SessionBundleTest, LoadSessionBundleFromPathUsingRunOptionsTest) {
   SessionOptions session_options;
   RunOptions run_options;
-  string export_dir = "/exort_dir";
+  string export_dir = "/export_dir";
   SessionBundle bundle;
   Status status = session_bundle::LoadSessionBundleFromPathUsingRunOptions(
       session_options, run_options, export_dir, &bundle);

diff --git a/tensorflow_serving/sources/storage_path/file_system_storage_path_source_test.cc b/tensorflow_serving/sources/storage_path/file_system_storage_path_source_test.cc
@@ -671,7 +671,7 @@ TEST(FileSystemStoragePathSourceTest, ServableVersionDirRenamed) {
                    .PollFileSystemAndInvokeCallback());
 
   // Blacklist version 2 and 5 by renaming corresponding directories.
-  // Blacklist version 8 by removing the directory alltogether.
+  // Blacklist version 8 by removing the directory altogether.
   TF_ASSERT_OK(Env::Default()->RenameFile(
       io::JoinPath(base_path_prefix, "2"),
       io::JoinPath(base_path_prefix, "2.blacklisted")));

diff --git a/tensorflow_serving/tensorflow_version.bzl b/tensorflow_serving/tensorflow_version.bzl
@@ -1,5 +1,5 @@
 """
-Module for build utilities to distiguish different tensorflow versions.
+Module for build utilities to distinguish different tensorflow versions.
 """
 
 load("@org_tensorflow//tensorflow:tensorflow.bzl", "VERSION_MAJOR")