diff --git a/tensorflow/c/c_api_experimental.cc b/tensorflow/c/c_api_experimental.cc
index eb875bde85a..e9734427bb0 100644
--- a/tensorflow/c/c_api_experimental.cc
+++ b/tensorflow/c/c_api_experimental.cc
@@ -777,9 +777,7 @@ TF_Library* TF_LoadPluggableDeviceLibrary(const char* library_filename,
     } else {
       status->status =
           env->LoadDynamicLibrary(library_filename, &lib_handle->lib_handle);
-      if (status->status.ok()) {
-        // Init PluggableDevice Plugin
-      } else {
+      if (!status->status.ok()) {
         delete lib_handle;
         return nullptr;
       }
diff --git a/tensorflow/core/framework/device_base.h b/tensorflow/core/framework/device_base.h
index 13e79853188..451490497f2 100644
--- a/tensorflow/core/framework/device_base.h
+++ b/tensorflow/core/framework/device_base.h
@@ -170,7 +170,6 @@ class DeviceBase {
     return device_thread_pool_;
   }
 
-
   // Does not take ownership.
   void set_eigen_cpu_device(Eigen::ThreadPoolDevice* d);
 
@@ -204,7 +203,6 @@ class DeviceBase {
 
   virtual const Eigen::ThreadPoolDevice* eigen_cpu_device();
 
-
   // Caller owns the return value. The OpKernelContext calls this even
   // for devices that do not implement an eigen_gpu_device. Overridden
   // by GPU devices to return a derived type.
diff --git a/tensorflow/python/framework/load_library.py b/tensorflow/python/framework/load_library.py
index ac462eb668d..e4222bfa124 100644
--- a/tensorflow/python/framework/load_library.py
+++ b/tensorflow/python/framework/load_library.py
@@ -159,7 +159,7 @@ def load_library(library_location):
         library_location)
 
 def load_pluggable_device_library(library_location):
-  """Loads a Tensorflow PluggableDevice plugin.
+  """Loads a TensorFlow PluggableDevice plugin.
   "library_location" can be a path to a specific shared object, or a folder.
   If it is a folder, all shared objects will be loaded. when the library is
   loaded, devices/kernels registered in the library via StreamExecutor C API