tflite-micro-sync: Update esp-tflite-micro (synced from github)

Author: vikramdattu

tensorflow/lite/core/api/flatbuffer_conversions.h

@@ -42,9 +42,8 @@ class BuiltinDataAllocator {
   // deallocation.
   template <typename T>
   T* AllocatePOD() {
-    // TODO(b/154346074): Change this to is_trivially_destructible when all
-    // platform targets support that properly.
-    static_assert(std::is_pod<T>::value, "Builtin data structure must be POD.");
+    static_assert(std::is_trivially_destructible<T>::value,
+                  "Builtin data structure must be POD.");
     void* allocated_memory = this->Allocate(sizeof(T), alignof(T));
     return new (allocated_memory) T();
   }

tensorflow/lite/kernels/internal/reference/integer_ops/fully_connected.h

@@ -42,12 +42,14 @@ void FullyConnectedPerChannel(
   const int32_t output_activation_min = params.quantized_activation_min;
   const int32_t output_activation_max = params.quantized_activation_max;
   TFLITE_DCHECK_GE(filter_shape.DimensionsCount(), 2);
-  TFLITE_DCHECK_EQ(output_shape.DimensionsCount(), 2);
+  TFLITE_DCHECK_GE(output_shape.DimensionsCount(), 1);
 
   TFLITE_DCHECK_LE(output_activation_min, output_activation_max);
   const int filter_dim_count = filter_shape.DimensionsCount();
-  const int batches = output_shape.Dims(0);
-  const int output_depth = output_shape.Dims(1);
+
+  const int output_dim_count = output_shape.DimensionsCount();
+  const int batches = FlatSizeSkipDim(output_shape, output_dim_count - 1);
+  const int output_depth = output_shape.Dims(output_dim_count - 1);
   TFLITE_DCHECK_LE(output_depth, filter_shape.Dims(filter_dim_count - 2));
   const int accum_depth = filter_shape.Dims(filter_dim_count - 1);
   for (int b = 0; b < batches; ++b) {