Merge branch 'main' of gitlab.eclipse.org:eclipse/aidge/aidge_core

include/aidge/aidge.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_IMPORTS_H__
-#define __AIDGE_IMPORTS_H__
+#ifndef AIDGE_IMPORTS_H_
+#define AIDGE_IMPORTS_H_
 
 #include "aidge/backend/OperatorImpl.hpp"
 #include "aidge/backend/TensorImpl.hpp"
@@ -48,4 +48,4 @@
 //#include "aidge/utilsParsing/AstNode.hpp"
 //#include "aidge/utilsParsing/ParsingToken.hpp"
 
-#endif /* __AIDGE_IMPORTS_H__ */
+#endif /* AIDGE_IMPORTS_H_ */

include/aidge/backend/OperatorImpl.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_OPERATORIMPL_H__
-#define __AIDGE_OPERATORIMPL_H__
+#ifndef AIDGE_OPERATORIMPL_H_
+#define AIDGE_OPERATORIMPL_H_
 
 #include <cstddef>
 #include <vector>
@@ -57,4 +57,4 @@ public:
 };
 } // namespace Aidge
 
-#endif /* __AIDGE_OPERATORIMPL_H__ */
+#endif /* AIDGE_OPERATORIMPL_H_ */

include/aidge/backend/TensorImpl.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_TENSORIMPL_H__
-#define __AIDGE_TENSORIMPL_H__
+#ifndef AIDGE_TENSORIMPL_H_
+#define AIDGE_TENSORIMPL_H_
 
 #include <cstddef>
 #include <cstdio>
@@ -26,7 +26,7 @@ public:
     virtual void setRawPtr(void* /*ptr*/)
     {
         printf("Cannot set raw pointer for backend %s\n", mBackend);
-    };  
+    };
     virtual std::size_t scalarSize() const = 0; // Size of one scalar (in bytes)
     constexpr const char *backend() const { return mBackend; }
     virtual ~TensorImpl() = default;
@@ -38,4 +38,4 @@ private:
 
 } // namespace Aidge
 
-#endif /* __AIDGE_TENSORIMPL_H__ */
+#endif /* AIDGE_TENSORIMPL_H_ */

include/aidge/data/Data.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_DATA_H__
-#define __AIDGE_DATA_H__
+#ifndef AIDGE_DATA_H_
+#define AIDGE_DATA_H_
 
 #include "aidge/utils/Parameter.hpp"
 
@@ -66,10 +66,10 @@ template <> const Aidge::DataType NativeType<int>::type = Aidge::DataType::Int32
 
 template <>
 const char* const EnumStrings<Aidge::DataType>::data[]
-    = {"Float64", "Float32", "Float16", "BFloat16", "Binary", "Ternary", 
-       "Int2", "Int3", "Int4", "Int5", "Int6", "Int7", "Int8", "Int16", 
-       "Int32", "Int64", "UInt2", "UInt3", "UInt4", "UInt5", "UInt6", 
+    = {"Float64", "Float32", "Float16", "BFloat16", "Binary", "Ternary",
+       "Int2", "Int3", "Int4", "Int5", "Int6", "Int7", "Int8", "Int16",
+       "Int32", "Int64", "UInt2", "UInt3", "UInt4", "UInt5", "UInt6",
        "UInt7", "UInt8", "UInt16", "UInt32", "UInt64"};
 }
 
-#endif /* __AIDGE_DATA_H__ */
\ No newline at end of file
+#endif /* AIDGE_DATA_H_ */
\ No newline at end of file

include/aidge/data/Tensor.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_CORE_DATA_TENSOR_H__
-#define __AIDGE_CORE_DATA_TENSOR_H__
+#ifndef AIDGE_CORE_DATA_TENSOR_H_
+#define AIDGE_CORE_DATA_TENSOR_H_
 
 #include <cstring>
 #include <set>
@@ -156,10 +156,10 @@ class Tensor : public Data,
      * @param dataType Sets the type of inserted data.
      */
     Tensor(DataType dataType = DataType::Float32)
-        : Data(Type), 
-          mDataType(dataType), 
-          mDims({}), 
-          mSize(0), 
+        : Data(Type),
+          mDataType(dataType),
+          mDims({}),
+          mSize(0),
           mSizeM1(0)
     {
         // ctor
@@ -167,14 +167,14 @@ class Tensor : public Data,
 
     /**
      * @brief Construct a new Tensor object copied from another one.
-     * @param otherTensor 
+     * @param otherTensor
      */
     Tensor(const Tensor& otherTensor)
-        : Data(Type), 
-          mDataType(otherTensor.mDataType), 
-          mDims(otherTensor.mDims), 
-          mSize(otherTensor.mSize), 
-          mSizeM1(otherTensor.mSizeM1) 
+        : Data(Type),
+          mDataType(otherTensor.mDataType),
+          mDims(otherTensor.mDims),
+          mSize(otherTensor.mSize),
+          mSizeM1(otherTensor.mSizeM1)
     {
         if (otherTensor.hasImpl()) {
             mImpl = Registrar<Tensor>::create({otherTensor.mImpl->backend(), dataType()})(*this);
@@ -312,7 +312,7 @@ class Tensor : public Data,
 
     /**
      * @brief Assess data type, dimensions, backend and data are the same.
-     * @param otherTensor 
+     * @param otherTensor
      */
     bool operator==(const Tensor &otherTensor) const {
         if ((!mImpl && !otherTensor.mImpl) || (dataType() != otherTensor.dataType()) ||
@@ -325,7 +325,7 @@ class Tensor : public Data,
     /**
      * @brief Set the backend of the Tensor associated implementation
      * @details Create and initialized an implementation if non was associated.
-     * @param name 
+     * @param name
      */
     inline void setBackend(const std::string &name) {
         if (mImpl) {
@@ -342,7 +342,7 @@ class Tensor : public Data,
 
     /**
      * @brief Get a list of available backends.
-     * @return std::set<std::string> 
+     * @return std::set<std::string>
      */
     static std::set<std::string> getAvailableBackends(){
         std::set<std::string> backendsList;
@@ -353,7 +353,7 @@ class Tensor : public Data,
 
     /**
      * @brief Get the data type enum.
-     * @return constexpr DataType 
+     * @return constexpr DataType
      */
     constexpr DataType dataType() const { return mDataType; }
 
@@ -376,27 +376,27 @@ class Tensor : public Data,
 
     /**
      * @brief Get the Impl object
-     * @return constexpr const std::unique_ptr<TensorImpl>& 
+     * @return constexpr const std::unique_ptr<TensorImpl>&
      */
     constexpr const std::unique_ptr<TensorImpl> &getImpl() { return mImpl; }
 
     /**
      * @brief Return if an implementaiton has been associated.
-     * @return true 
-     * @return false 
+     * @return true
+     * @return false
      */
     bool hasImpl() const { return (mImpl) ? true : false; }
 
     /**
      * @brief Get number of dimensions of the Tensor.
-     * @return std::size_t 
+     * @return std::size_t
      */
     inline std::size_t nbDims() const { return mDims.size(); }
 
     /**
      * @brief Get dimensions of the Tensor object.
      * @tparam DIM number of dimensions.
-     * @return constexpr std::array<DimSize_t, DIM> 
+     * @return constexpr std::array<DimSize_t, DIM>
      */
     template <DimIdx_t DIM>
     constexpr std::array<DimSize_t, DIM> dims() const {
@@ -406,26 +406,26 @@ class Tensor : public Data,
 
     /**
      * @brief Get dimensions of the Tensor object.
-     * @return constexpr const std::vector<DimSize_t>& 
+     * @return constexpr const std::vector<DimSize_t>&
      */
     constexpr const std::vector<DimSize_t> &dims() const { return mDims; }
 
     /**
      * @brief Get the number of elements in the Tensor object.
-     * @return constexpr std::size_t 
+     * @return constexpr std::size_t
      */
     constexpr std::size_t size() const { return mSize; }
 
     /**
      * @brief Get the number of elements in the N-1 dimensions of the Tensor object.
-     * @return constexpr std::size_t 
+     * @return constexpr std::size_t
      */
     constexpr std::size_t sizeM1() const { return mSizeM1; }
 
     /**
      * @brief Change the shape of the Tensor object according to the given argument.
      * @tparam DIM new dimensions.
-     * @param dims 
+     * @param dims
      */
     template <std::array<DimSize_t, 1>::size_type DIM> // deducing std::array size_type and declaring DIM accordingly
     void resize(const std::array<DimSize_t, DIM> &dims) {
@@ -441,8 +441,8 @@ class Tensor : public Data,
 
     /**
      * @brief Return if the Tensor object has at leastone element.
-     * @return true 
-     * @return false 
+     * @return true
+     * @return false
      */
     bool empty() const { return mDims.empty(); }
 
@@ -540,8 +540,8 @@ class Tensor : public Data,
                 }
             }
         }
-        
-        
+
+
         res += "}";
         return res;
     }
@@ -575,10 +575,10 @@ private:
             mSizeM1 = std::accumulate(++mDims.begin(),mDims.end(), DimSize_t(1), std::multiplies<DimSize_t>());
             mSize = static_cast<std::size_t>(mSizeM1 * mDims[0]);
         }
-        
+
         return mSize;
     }
 };
 }  // namespace Aidge
 
-#endif /* __AIDGE_CORE_DATA_TENSOR_H__ */
+#endif /* AIDGE_CORE_DATA_TENSOR_H_ */

include/aidge/graph/Connector.hpp

@@ -8,8 +8,8 @@
  * SPDX-License-Identifier: EPL-2.0
  *
  ********************************************************************************/
-#ifndef __AIDGE_CORE_GRAPH_CONNECTOR_H__
-#define __AIDGE_CORE_GRAPH_CONNECTOR_H__
+#ifndef AIDGE_CORE_GRAPH_CONNECTOR_H_
+#define AIDGE_CORE_GRAPH_CONNECTOR_H_
 
 #include <cassert>
 #include <memory>
@@ -18,7 +18,7 @@
 #include "aidge/utils/Types.h"
 
 namespace Aidge {
-    
+
 class Node;
 class GraphView;
 /**
@@ -83,4 +83,4 @@ class Connector {
 std::shared_ptr<GraphView> generateGraph(std::vector<Connector> ctors);
 }  // namespace Aidge
 
-#endif /* __AIDGE_CORE_GRAPH_CONNECTOR_H__ */
\ No newline at end of file
+#endif /* AIDGE_CORE_GRAPH_CONNECTOR_H_ */
\ No newline at end of file

include/aidge/graph/GraphView.hpp

@@ -10,8 +10,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_CORE_GRAPH_GRAPHVIEW_H__
-#define __AIDGE_CORE_GRAPH_GRAPHVIEW_H__
+#ifndef AIDGE_CORE_GRAPH_GRAPHVIEW_H_
+#define AIDGE_CORE_GRAPH_GRAPHVIEW_H_
 
 #include <map>
 #include <memory>
@@ -33,14 +33,14 @@ enum class DataType;
 class GraphView : public std::enable_shared_from_this<GraphView> {
 private:
     /// @brief Name of the graphview
-    std::string mName; 
+    std::string mName;
 
     /// @brief Set of nodes included in the GraphView
-    std::set<NodePtr> mNodes; 
+    std::set<NodePtr> mNodes;
 
     /// @brief Set of nodes included in the graphview with names
     std::map<std::string, NodePtr> mNodeRegistry;
-    
+
     /// @brief Nodes without input link
     std::set<NodePtr> mInputNodes;
 
@@ -49,23 +49,23 @@ private:
 
 public:
     GraphView(std::string name="")
-        : mName(name) 
+        : mName(name)
     {
         // ctor
     }
 
     // GraphView(std::set<NodePtr> nodes, std::string name="")
-    //     : mName(name) 
+    //     : mName(name)
     // {
     //     add(nodes);
     // }
 
-    bool operator==(const GraphView &gv) const 
+    bool operator==(const GraphView &gv) const
     {
         return mNodes == gv.mNodes;
     }
 
-    NodePtr operator[](std::string name) 
+    NodePtr operator[](std::string name)
     {
         assert(mNodeRegistry.find(name) != mNodeRegistry.end() && "Could not find Node in the GraphView.");
         return mNodeRegistry.at(name);
@@ -185,7 +185,7 @@ public:
     /**
      * @brief Get parents Nodes of the specified Node.
      * @param nodeName Name of the Node.
-     * @return std::vector<NodePtr> 
+     * @return std::vector<NodePtr>
      */
     std::vector<NodePtr> getParents(const std::string nodeName) const;
     std::vector<std::vector<NodePtr>> getOrderedParents() const;
@@ -206,7 +206,7 @@ public:
 
     /**
      * @brief Get the Nodes pointed to by the GraphView object.
-     * @return std::set<NodePtr> 
+     * @return std::set<NodePtr>
      */
     inline std::set<NodePtr> getNodes() const { return mNodes; }
 
@@ -233,14 +233,14 @@ public:
     /**
      * @brief Include a Node to the current GraphView object.
      * @param other_Nde Node to add.
-     * @param includeLearnableParam Include non-data inputs, like weights and biases 
+     * @param includeLearnableParam Include non-data inputs, like weights and biases
      * in the GraphView automatically. Default: true.
      */
     void add(NodePtr otherNode, bool includeLearnableParam = true);
     /**
      * @brief Include a set of Nodes to the current GraphView object.
-     * @param otherNodes 
-     * @param includeLearnableParam 
+     * @param otherNodes
+     * @param includeLearnableParam
      */
     void add(std::set<NodePtr> otherNodes,
              bool includeLearnableParam = true);
@@ -326,8 +326,8 @@ public:
     /**
      * @brief Replace the current GraphView with the set of given Nodes if possible
      * @param newNodes Set of Nodes.
-     * @return true 
-     * @return false 
+     * @return true
+     * @return false
      */
     bool replaceWith(std::set<NodePtr> newNodes);
     void updateInputNodes();
@@ -343,13 +343,13 @@ private:
 
     /**
      * @brief Get the sum of the number of dataInput Nodes for all inputNodes of the GraphView object.
-     * @return IOIndex_t 
+     * @return IOIndex_t
      */
     IOIndex_t getNbDataInputs() const;
 
     /**
      * @brief Get the sum of the number of free dataInput connection for all inputNodes of the GraphView object.
-     * @return IOIndex_t 
+     * @return IOIndex_t
      */
     IOIndex_t getNbFreeDataInputs() const;
 
@@ -378,4 +378,4 @@ private:
 };
 }  // namespace Aidge
 
-#endif /* __AIDGE_CORE_GRAPH_GRAPHVIEW_H__ */
\ No newline at end of file
+#endif /* AIDGE_CORE_GRAPH_GRAPHVIEW_H_ */
\ No newline at end of file

include/aidge/graph/Node.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_CORE_GRAPH_NODE_H__
-#define __AIDGE_CORE_GRAPH_NODE_H__
+#ifndef AIDGE_CORE_GRAPH_NODE_H_
+#define AIDGE_CORE_GRAPH_NODE_H_
 
 #include <cassert>
 #include <memory>
@@ -39,7 +39,7 @@ private:
           // Compare the content of the weak_ptrs
           auto sharedA = a.lock();
           auto sharedB = b.lock();
-          if (!sharedB) return false; // nothing after expired pointer 
+          if (!sharedB) return false; // nothing after expired pointer
           if (!sharedA) return true;
           return sharedA < sharedB; // shared_ptr has a valid comparison operator
       }
@@ -78,7 +78,7 @@ public:
   /**
    * @brief Functional operator for user-friendly connection interface using an ordered set of Connectors.
    * @param ctors Ordered Connectors linking their associated Node to the input of the current Node with the same index.
-   * @return Connector 
+   * @return Connector
    */
   Connector operator()(const std::vector<Connector> &ctors);
 
@@ -165,7 +165,7 @@ public:
 
   /**
    * @brief Set fix value for the specified input by creating a Producer wrapping the given Tensor.
-   * 
+   *
    * @param idx Input index.
    * @param tensor Constant Tensor to add as parent for specified index.
    */
@@ -301,7 +301,7 @@ public:
   /**
    * @brief Get the pointer to parent of the specified input index. This pointer is nullptr if no parent is linked.
    * @param inId Input index.
-   * @return std::shared_ptr<Node>& 
+   * @return std::shared_ptr<Node>&
    */
   inline NodePtr &getParents(const IOIndex_t inId) {
     assert(inId != gk_IODefaultIndex);
@@ -312,7 +312,7 @@ public:
    * @brief Unlink the parent Node at the specified input index and return its pointer.
    * Return a nullptr is no parent was linked.
    * @param inId Input index.
-   * @return std::shared_ptr<Node> 
+   * @return std::shared_ptr<Node>
    */
   NodePtr popParent(const IOIndex_t inId);
 
@@ -331,7 +331,7 @@ public:
   /**
    * @brief Get the list of children Nodes linked to the output at specified index.
    * @param outId Output index.
-   * @return std::vector<std::shared_ptr<Node>> 
+   * @return std::vector<std::shared_ptr<Node>>
    */
   std::vector<NodePtr> getChildren(const IOIndex_t outId) const;
 
@@ -364,8 +364,8 @@ private:
 
   /**
    * @brief Set the idInChildren parameter.
-   * @param inID 
-   * @param newNodeOutID 
+   * @param inID
+   * @param newNodeOutID
    */
   void setInputId(const IOIndex_t inID, const IOIndex_t newNodeOutID);
 
@@ -375,17 +375,17 @@ private:
 
   /**
    * @brief Add the given Node as a child for the current Node.
-   * @param otherNode 
-   * @param outId 
-   * @param otherInId 
+   * @param otherNode
+   * @param outId
+   * @param otherInId
    */
   void addChildOp(NodePtr otherNode, const IOIndex_t outId,
                   const IOIndex_t otherInId);
 
   /**
    * @brief Add the given GraphView's input Node as a child for the current Node
-   * @param otherGraph 
-   * @param outId 
+   * @param otherGraph
+   * @param outId
    * @param otherInId pointer the GraphView's input Node and its input index. Defaults to the
    * only input Node if the GraphView has got one.
    */
@@ -402,4 +402,4 @@ private:
 };
 } // namespace Aidge
 
-#endif /* __AIDGE_CORE_GRAPH_NODE_H__ */
+#endif /* AIDGE_CORE_GRAPH_NODE_H_ */

include/aidge/graph/OpArgs.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_CORE_GRAPH_OPARGS_H__
-#define __AIDGE_CORE_GRAPH_OPARGS_H__
+#ifndef AIDGE_CORE_GRAPH_OPARGS_H_
+#define AIDGE_CORE_GRAPH_OPARGS_H_
 
 #include <memory>
 #include <cassert>
@@ -30,7 +30,7 @@ private:
 public:
     OpArgs(const std::shared_ptr<GraphView>& view_)
      : mView(view_) {assert(mView && "The GraphView provided should not be a nullptr.");}
-    
+
     OpArgs(const std::shared_ptr<Node>& node_)
      : mNode(node_) {assert(mNode && "The Node provided should not be a nullptr.");}
 
@@ -83,4 +83,4 @@ std::shared_ptr<GraphView> Residual(std::initializer_list<OpArgs> inputs);
 
 }
 
-#endif /* __AIDGE_CORE_GRAPH_OPARGS_H__ */
\ No newline at end of file
+#endif /* AIDGE_CORE_GRAPH_OPARGS_H_ */
\ No newline at end of file

include/aidge/graphmatching/GRegex.hpp

@@ -10,8 +10,8 @@
  ********************************************************************************/
 
 
-#ifndef __AIDGE_GREGEX_H__
-#define __AIDGE_GREGEX_H__
+#ifndef AIDGE_GREGEX_H_
+#define AIDGE_GREGEX_H_
 
 #include <stdexcept>    // for exception, runtime_error, out_of_range
 #include <regex>
@@ -43,7 +43,7 @@ public:
     bool walk_validation_all_node_read_validate_by_one_stm(const std::vector<std::vector<SeqStm*>> all_stm);
 
     bool walk_validation_common_nodes_same_tag_for_all_stm(const std::vector<std::vector<SeqStm*>> all_stm);
-    
+
     std::set<NodeTmp> get_all_validate_nodes(const std::vector<std::vector<SeqStm*>> all_stm);
 
     std::vector<SeqStm*> getStmInit() const {
@@ -53,11 +53,11 @@ public:
     StmFactory getStmFab() const {
         return mStmFab;
     }
-    
+
     //std::set<std::pair<std::vector<NodeTmp>,std::set<NodeTmp>>> match(const std::shared_ptr<GraphView> graphToMatch);
     Match match(const std::shared_ptr<GraphView> graphToMatch);
 
 };
 
 }
-#endif //__AIDGE_GREGEX_H__
\ No newline at end of file
+#endif //AIDGE_GREGEX_H_
\ No newline at end of file

include/aidge/graphmatching/Match.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_MATCH_H__
-#define __AIDGE_MATCH_H__
+#ifndef AIDGE_MATCH_H_
+#define AIDGE_MATCH_H_
 
 #include <vector>
 #include <set>
@@ -41,4 +41,4 @@ protected:
 };
 
 }
-#endif //__AIDGE_MATCH_H__
\ No newline at end of file
+#endif //AIDGE_MATCH_H_
\ No newline at end of file

include/aidge/graphmatching/NodeRegex.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_NODEREGEX_H__
-#define __AIDGE_NODEREGEX_H__
+#ifndef AIDGE_NODEREGEX_H_
+#define AIDGE_NODEREGEX_H_
 #include <cstdlib>
 #include <iostream>
 #include <cstring>
@@ -27,7 +27,7 @@ class NodeRegex
     NodeRegex(const std::string c){
         mCondition = c;
     };
-    
+
     // Version 1 - Only test the type of the node (no need for a lexer)
     // Input : Node_op
     // Output : bool
@@ -38,4 +38,4 @@ class NodeRegex
 
 }
 
-#endif /* ___AIDGE_NODEREGEX_H___ */
\ No newline at end of file
+#endif /* _AIDGE_NODEREGEX_H__ */
\ No newline at end of file

include/aidge/graphmatching/SeqStm.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_SEQSTM_H__
-#define __AIDGE_SEQSTM_H__
+#ifndef AIDGE_SEQSTM_H_
+#define AIDGE_SEQSTM_H_
 
 #include <iostream>
 #include <map>
@@ -124,4 +124,4 @@ public:
 };
 } // namespace Aidge
 
-#endif /* __AIDGE_SEQSTM_H__ */
\ No newline at end of file
+#endif /* AIDGE_SEQSTM_H_ */
\ No newline at end of file

include/aidge/graphmatching/StmFactory.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_STMFACTORY_H__
-#define __AIDGE_STMFACTORY_H__
+#ifndef AIDGE_STMFACTORY_H_
+#define AIDGE_STMFACTORY_H_
 
 #include <map>
 #include <utility>
@@ -52,4 +52,4 @@ private:
 };
 }
 
-#endif //__AIDGE_STMFACTORY_H__
\ No newline at end of file
+#endif //AIDGE_STMFACTORY_H_
\ No newline at end of file

include/aidge/operator/Add.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_CORE_OPERATOR_ADD_H__
-#define __AIDGE_CORE_OPERATOR_ADD_H__
+#ifndef AIDGE_CORE_OPERATOR_ADD_H_
+#define AIDGE_CORE_OPERATOR_ADD_H_
 
 #include <numeric>
 #include <vector>
@@ -94,7 +94,7 @@ public:
         return *(mInputs[inputIdx].get());
     }
     inline Tensor& output(__attribute__((unused)) const IOIndex_t outputIdx) const override final { return *(mOutput.get()); }
-    
+
     inline std::shared_ptr<Tensor> getInput(const IOIndex_t inputIdx) const override final {
         assert(static_cast<std::size_t>(inputIdx) < NUM && "wrong inputIdx for Add operator.");
         return mInputs[inputIdx];
@@ -144,4 +144,4 @@ inline std::shared_ptr<Node> Add(const char* name = nullptr) {
 }
 }
 
-#endif /* __AIDGE_CORE_OPERATOR_ADD_H__ */
+#endif /* AIDGE_CORE_OPERATOR_ADD_H_ */

include/aidge/operator/AvgPooling.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_CORE_OPERATOR_AVGPOOLING_H__
-#define __AIDGE_CORE_OPERATOR_AVGPOOLING_H__
+#ifndef AIDGE_CORE_OPERATOR_AVGPOOLING_H_
+#define AIDGE_CORE_OPERATOR_AVGPOOLING_H_
 
 #include <array>
 #include <numeric>
@@ -46,7 +46,7 @@ public:
     AvgPooling_Op() = delete;
 
     using Parameterizable_ = Parameterizable<AvgPoolingParam,
-                                             std::array<DimSize_t, DIM>, 
+                                             std::array<DimSize_t, DIM>,
                                              std::array<DimSize_t, DIM>,
                                              std::array<DimSize_t, (DIM<<1)> >;
     template <AvgPoolingParam e>
@@ -76,7 +76,7 @@ public:
 
             for (std::size_t dim = 0; dim < this->template get<AvgPoolingParam::KernelDims>().size() ; ++dim) {
                 outputDims[dim+2] = 1 + static_cast<DimSize_t>(
-                                            std::floor(static_cast<float>(mInput->dims()[dim+2] - 
+                                            std::floor(static_cast<float>(mInput->dims()[dim+2] -
                                                                     this->template get<AvgPoolingParam::KernelDims>()[dim] +
                                                                     this->template get<AvgPoolingParam::PaddingDims>()[dim] +
                                                                     this->template get<AvgPoolingParam::PaddingDims>()[dim+DIM]) /
@@ -166,4 +166,4 @@ const char *const EnumStrings<Aidge::AvgPoolingParam>::data[] = {"StrideDims",
                                                           "KernelDims", "PaddingDims"};
 }
 
-#endif /* __AIDGE_CORE_OPERATOR_AVGPOOLING_H__ */
+#endif /* AIDGE_CORE_OPERATOR_AVGPOOLING_H_ */

include/aidge/operator/BatchNorm.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_CORE_OPERATOR_BATCHNORM_H__
-#define __AIDGE_CORE_OPERATOR_BATCHNORM_H__
+#ifndef AIDGE_CORE_OPERATOR_BATCHNORM_H_
+#define AIDGE_CORE_OPERATOR_BATCHNORM_H_
 
 #include <array>
 #include <memory>
@@ -53,7 +53,7 @@ public:
           Parameterizable_(param<BatchNormParam::Epsilon>(epsilon),
                            param<BatchNormParam::Momentum>(momentum)),
           mOutput(std::make_shared<Tensor>()) {
-        setDatatype(DataType::Float32);        
+        setDatatype(DataType::Float32);
     }
 
     // Data operator[](const char* inputName) override final {
@@ -158,4 +158,4 @@ template <>
 const char *const EnumStrings<Aidge::BatchNormParam>::data[] = { "Epsilon", "Momentum" };
 }
 
-#endif // __AIDGE_CORE_OPERATOR_BATCHNORM_H__
\ No newline at end of file
+#endif //AIDGE_CORE_OPERATOR_BATCHNORM_H_
\ No newline at end of file

include/aidge/operator/Conv.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_CORE_OPERATOR_CONV_H__
-#define __AIDGE_CORE_OPERATOR_CONV_H__
+#ifndef AIDGE_CORE_OPERATOR_CONV_H_
+#define AIDGE_CORE_OPERATOR_CONV_H_
 
 #include <array>
 #include <cmath>
@@ -63,7 +63,7 @@ public:
                            param<ConvParam::KernelDims>(kernel_dims),
                            param<ConvParam::PaddingDims>(padding_dims)),
           mOutput(std::make_shared<Tensor>()) {
-        setDatatype(DataType::Float32);        
+        setDatatype(DataType::Float32);
     }
 
     // Data operator[](const char* inputName) override final {
@@ -161,7 +161,7 @@ public:
 };
 
 template <std::array<DimSize_t, 1>::size_type DIM>
-inline std::shared_ptr<Node> Conv(DimSize_t in_channels, 
+inline std::shared_ptr<Node> Conv(DimSize_t in_channels,
                                   DimSize_t out_channels,
                                   const std::array<DimSize_t, DIM> &kernel_dims,
                                   const char *name = nullptr,
@@ -197,4 +197,4 @@ const char *const EnumStrings<Aidge::ConvParam>::data[] = {"StrideDims", "Dilati
                                                           "KernelDims", "PaddingDims"};
 }
 
-#endif /* __AIDGE_CORE_OPERATOR_CONV_H__ */
+#endif /* AIDGE_CORE_OPERATOR_CONV_H_ */

include/aidge/operator/ConvDepthWise.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_CORE_OPERATOR_CONVDEPTHWISE_H__
-#define __AIDGE_CORE_OPERATOR_CONVDEPTHWISE_H__
+#ifndef AIDGE_CORE_OPERATOR_CONVDEPTHWISE_H_
+#define AIDGE_CORE_OPERATOR_CONVDEPTHWISE_H_
 
 #include <array>
 #include <cmath>
@@ -49,9 +49,9 @@ class ConvDepthWise_Op : public Operator,
     ConvDepthWise_Op() = delete;
 
     using Parameterizable_ = Parameterizable<ConvDepthWiseParam,
-                                             std::array<DimSize_t, DIM>, 
                                              std::array<DimSize_t, DIM>,
-                                             DimSize_t, 
+                                             std::array<DimSize_t, DIM>,
+                                             DimSize_t,
                                              std::array<DimSize_t, DIM>,
                                              std::array<DimSize_t, (DIM<<1) >>;
     template <ConvDepthWiseParam e>
@@ -62,7 +62,7 @@ class ConvDepthWise_Op : public Operator,
                                const std::array<DimSize_t, (DIM<<1)> &padding_dims = create_array<DimSize_t,(DIM<<1)>(0),
                                const std::array<DimSize_t, DIM> &dilation_dims = create_array<DimSize_t,DIM>(1))
         : Operator(Type),
-          Parameterizable_(param<ConvDepthWiseParam::StrideDims>(stride_dims), 
+          Parameterizable_(param<ConvDepthWiseParam::StrideDims>(stride_dims),
                            param<ConvDepthWiseParam::DilationDims>(dilation_dims),
                            param<ConvDepthWiseParam::Channels>(0),
                            param<ConvDepthWiseParam::KernelDims>(kernel_dims),
@@ -130,7 +130,7 @@ class ConvDepthWise_Op : public Operator,
     std::shared_ptr<Data> getRawInput(const IOIndex_t inputIdx) const override final {
         assert(inputIdx < 3 && "operators supports only 3 inputs");
         return std::static_pointer_cast<Data>(mInputs[inputIdx]);
-    }    
+    }
     std::shared_ptr<Data> getRawOutput(__attribute__((unused)) const IOIndex_t outputIdx) const override final {
         assert(outputIdx == 0 && "operator supports only 1 output");
         return std::static_pointer_cast<Data>(mOutput);
@@ -193,4 +193,4 @@ const char *const EnumStrings<Aidge::ConvDepthWiseParam>::data[] = {"StrideDims"
                                                           "KernelDims", "PaddingDims"};
 }
 
-#endif /* __AIDGE_CORE_OPERATOR_CONVDEPTHWISE_H__ */
+#endif /* AIDGE_CORE_OPERATOR_CONVDEPTHWISE_H_ */

include/aidge/operator/FC.hpp

@@ -9,8 +9,8 @@
  *
  ********************************************************************************/
 
-#ifndef __AIDGE_CORE_OPERATOR_FC_H__
-#define __AIDGE_CORE_OPERATOR_FC_H__
+#ifndef AIDGE_CORE_OPERATOR_FC_H_
+#define AIDGE_CORE_OPERATOR_FC_H_
 
 #include <array>
 #include <cmath>
@@ -75,7 +75,7 @@ public:
             std::array<DimSize_t, 2> weightDims = {this->template get<FCParam::OutChannels>(), static_cast<DimSize_t>(mInputs[0]->sizeM1())};
             // <out_channels, batch>
             std::array<DimSize_t, 2> outputDims = {mInputs[0]->dims()[0], this->template get<FCParam::OutChannels>()};
-            
+
             mInputs[1]->resize(weightDims);
             mOutput->resize(outputDims);
         }
@@ -152,4 +152,4 @@ const char *const EnumStrings<Aidge::FCParam>::data[] = {"OutChannels",
                                                         "NoBias"};
 }
 
-#endif /* __AIDGE_CORE_OPERATOR_FC_H__ */
\ No newline at end of file
+#endif /* AIDGE_CORE_OPERATOR_FC_H_ */
\ No newline at end of file