Update FanInOut method to compute on 2D tensor.

src/filler/Filler.cpp

@@ -20,12 +20,12 @@
 #include "aidge/utils/ErrorHandling.hpp"
 #include "aidge/utils/Types.h"
 
-
 void Aidge::calculateFanInFanOut(std::shared_ptr<Aidge::Tensor> tensor,
                                  std::uint32_t& fanIn, std::uint32_t& fanOut) {
-    AIDGE_ASSERT(
-        tensor->nbDims() == 4,
-        "Tensor need to have 4 dimensions to compute FanIn and FanOut.");
+    AIDGE_ASSERT(tensor->nbDims() == 4 || tensor->nbDims() == 2,
+                 "Tensor need to have 4 or 2 dimensions to compute FanIn and "
+                 "FanOut, but found a tensor with {} dims.",
+                 tensor->nbDims());
     // Warning: This function suppose NCXX data layout.
     // Aidge currently only support NCHW but this maybe not be true in the
     // future.
@@ -35,6 +35,6 @@ void Aidge::calculateFanInFanOut(std::shared_ptr<Aidge::Tensor> tensor,
                  "Cannot calculate FanIn if tensor batch size is 0.");
     AIDGE_ASSERT(channelSize != 0,
                  "Cannot calculate FanOut if tensor channel size is 0.");
-    fanIn =  static_cast<std::uint32_t>(tensor->size() / batchSize);
+    fanIn = static_cast<std::uint32_t>(tensor->size() / batchSize);
     fanOut = static_cast<std::uint32_t>(tensor->size() / channelSize);
 }