clear shape attr before copying input

src/operator/Reshape.cpp

@@ -32,10 +32,11 @@ const std::string Aidge::Reshape_Op::Type = "Reshape";
 
 bool Aidge::Reshape_Op::forwardDims(bool /*allowDataDependency*/) {
     // check input has been associated
-    if (!getInput(0)) {
-        AIDGE_THROW_OR_ABORT(std::runtime_error, "Input was not connected");
+    for (size_t i = 0; i < 2; ++i) {
+        if (!getInput(i)) {
+            AIDGE_THROW_OR_ABORT(std::runtime_error, "{}: input #{} should be associated with a Tensor", type(), i);
+        }
     }
-
     if (!getInput(0)->empty()) {
         std::vector<DimSize_t> outDims;
         // variables to handle a negative dimension
@@ -43,11 +44,11 @@ bool Aidge::Reshape_Op::forwardDims(bool /*allowDataDependency*/) {
         std::size_t outSize = 1;
         DimIdx_t negativeIndex = 0;
 
-
-        if (this->template getAttr<ReshapeAttr::Shape>().empty() && getInput(1)) {
+        // Fill shape attr if empty
+        if (this->template getAttr<ReshapeAttr::Shape>().empty()) {
             if(!getInput(1)->empty()) {
+                this->template getAttr<ReshapeAttr::Shape>().clear(); // If both are provided input would override attrs
                 this->template getAttr<ReshapeAttr::Shape>().reserve(getInput(1)->size());
-                // Fill shape attr
                 switch (mInputs[1]->dataType()) {
                     case DataType::Float64:
                         std::copy_n(static_cast<double*>(mInputs[1]->getImpl()->rawPtr()),