Sync from tflite-micro. (tensorflow#180)

Author: TFLM-bot

src/tensorflow/lite/kernels/kernel_util.cpp

@@ -436,7 +436,7 @@ TfLiteStatus GetOutputShapeFromInput(TfLiteContext* context,
 // that build. What appears to be happening is that while the linker drops the
 // unsused function, the string library that gets pulled in is not dropped,
 // resulting in the increased binary size.
-const std::string GetShapeDebugString(const TfLiteIntArray* shape) {
+std::string GetShapeDebugString(const TfLiteIntArray* shape) {
   std::string str;
   for (int d = 0; d < shape->size; ++d) {
     if (str.empty())

src/tensorflow/lite/kernels/kernel_util.h

@@ -297,7 +297,7 @@ TfLiteStatus GetOutputShapeFromInput(TfLiteContext* context,
                                      const TfLiteTensor* input,
                                      TfLiteIntArray** output_shape);
 
-const std::string GetShapeDebugString(const TfLiteIntArray* shape);
+std::string GetShapeDebugString(const TfLiteIntArray* shape);
 
 #endif  // !defined(ARDUINO)
 

src/tensorflow/lite/micro/kernels/pooling.h

@@ -1,4 +1,4 @@
-/* Copyright 2022 The TensorFlow Authors. All Rights Reserved.
+/* Copyright 2023 The TensorFlow Authors. All Rights Reserved.
 
 Licensed under the Apache License, Version 2.0 (the "License");
 you may not use this file except in compliance with the License.
@@ -112,7 +112,7 @@ void MaxPoolingEvalQuantized(TfLiteContext* context, TfLiteNode* node,
                                  tflite::micro::GetTensorData<T>(output));
 }
 
-#if defined(ARDUINO)
+#if defined(ARDUINO) || defined(XTENSA)
 TfLiteRegistration Register_AVERAGE_POOL_2D_INT8();
 
 TfLiteRegistration Register_MAX_POOL_2D_INT8();