Automated sync from github.com/tensorflow/tensorflow (#3176)

BUG=automated sync from upstream
NO_CHECK_TFLITE_FILES=automated sync from upstream

Author: TFLM-bot

tensorflow/lite/array.cc

@@ -20,6 +20,7 @@ limitations under the License.
 namespace tflite {
 namespace array_internal {
 
+#ifndef TF_LITE_STATIC_MEMORY
 void TfLiteArrayDeleter::operator()(TfLiteIntArray* a) {
   if (a) {
     TfLiteIntArrayFree(a);
@@ -30,6 +31,7 @@ void TfLiteArrayDeleter::operator()(TfLiteFloatArray* a) {
     TfLiteFloatArrayFree(a);
   }
 }
+#endif  // TF_LITE_STATIC_MEMORY
 
 }  // namespace array_internal
 }  // namespace tflite

tensorflow/lite/array.h

@@ -70,6 +70,7 @@ using FloatArrayUniquePtr = TfLiteArrayUniquePtr<float>;
 template <class T = int>
 TfLiteArrayUniquePtr<T> BuildTfLiteArray(int size);
 
+#ifndef TF_LITE_STATIC_MEMORY
 // Allocates a TfLiteIntArray of given size using malloc.
 template <>
 inline IntArrayUniquePtr BuildTfLiteArray<int>(const int size) {
@@ -81,6 +82,7 @@ template <>
 inline FloatArrayUniquePtr BuildTfLiteArray<float>(const int size) {
   return FloatArrayUniquePtr(TfLiteFloatArrayCreate(size));
 }
+#endif  // TF_LITE_STATIC_MEMORY
 
 // Allocates a TFLiteArray of given size and initializes it with the given
 // values.