Changed Pad DIM handling

include/aidge/operator/MetaOperatorDefs.hpp

@@ -30,7 +30,7 @@ inline std::shared_ptr<Node> PaddedConv(DimSize_t in_channels,
                                   const std::array<DimSize_t, DIM> &dilation_dims = create_array<DimSize_t,DIM>(1))
 {
     // Construct micro-graph
-    auto pad = Pad(padding_dims, (!name.empty()) ? name + "_pad" : "", PadBorderType::Constant, 0.0);
+    auto pad = Pad<DIM>(padding_dims, (!name.empty()) ? name + "_pad" : "", PadBorderType::Constant, 0.0);
     auto conv = std::make_shared<Node>(std::make_shared<Conv_Op<static_cast<DimIdx_t>(DIM)>>(in_channels, out_channels, kernel_dims, stride_dims, dilation_dims), (!name.empty()) ? name + "_conv" : "");
     // Need to specify the ordered list of input operators
     const std::vector<NodePtr> orderedInputNodes = {pad, conv};
@@ -63,7 +63,7 @@ inline std::shared_ptr<Node> PaddedConvDepthWise(const std::array<DimSize_t, DIM
                                   const std::array<DimSize_t, DIM> &dilation_dims = create_array<DimSize_t,DIM>(1))
 {
     // Construct micro-graph
-    auto pad = Pad(padding_dims, (!name.empty()) ? name + "_pad" : "", PadBorderType::Constant, 0.0);
+    auto pad = Pad<DIM>(padding_dims, (!name.empty()) ? name + "_pad" : "", PadBorderType::Constant, 0.0);
     auto conv = std::make_shared<Node>(std::make_shared<ConvDepthWise_Op<static_cast<DimIdx_t>(DIM)>>(kernel_dims, stride_dims, dilation_dims), (!name.empty()) ? name + "_conv" : "");
     // Need to specify the ordered list of input operators
     const std::vector<NodePtr> orderedInputNodes = {pad, conv};
@@ -93,7 +93,7 @@ inline std::shared_ptr<Node> PaddedAvgPooling(const std::array<DimSize_t, DIM> &
                                   const std::array<DimSize_t, 2*DIM> &padding_dims = create_array<DimSize_t,2*DIM>(0))
 {
     auto graph = Sequential({
-        Pad(padding_dims, (!name.empty()) ? name + "_pad" : ""),
+        Pad<DIM>(padding_dims, (!name.empty()) ? name + "_pad" : ""),
         AvgPooling(kernel_dims, (!name.empty()) ? name + "_avgpooling" : "", stride_dims)
     });
 
@@ -118,7 +118,7 @@ inline std::shared_ptr<Node> PaddedMaxPooling(const std::array<DimSize_t, DIM> &
                                   const std::array<DimSize_t, 2*DIM> &padding_dims = create_array<DimSize_t,2*DIM>(0))
 {
     auto graph = Sequential({
-        Pad(padding_dims, (!name.empty()) ? name + "_pad" : ""),
+        Pad<DIM>(padding_dims, (!name.empty()) ? name + "_pad" : ""),
         MaxPooling(kernel_dims, (!name.empty()) ? name + "_maxpooling" : "", stride_dims)
     });
 

include/aidge/operator/Pad.hpp

@@ -168,29 +168,25 @@ public:
     }
 };
 
-// We use DIMX2 rather than DIM because the compiler cannot infer DIM from std::array<DimSize_t, 2*DIM>
-template <std::array<DimSize_t, 1>::size_type DIMX2>
-inline std::shared_ptr<Node> Pad(const std::array<DimSize_t, DIMX2> &beginEndTuples,
+template <std::array<DimSize_t, 1>::size_type DIM>
+inline std::shared_ptr<Node> Pad(const std::array<DimSize_t, 2*DIM> &beginEndTuples,
                                            const std::string& name = "",
                                            const PadBorderType &borderType = PadBorderType::Constant,
                                            double borderValue = 0.0)
 {
-    static_assert(DIMX2%2==0,"Invalid dimension");
-    static_assert(DIMX2/2<=MaxDim,"Too many kernel dimensions required by Pad, not supported");
-    return std::make_shared<Node>(std::make_shared<Pad_Op<static_cast<DimIdx_t>(DIMX2/2)>>(beginEndTuples, borderType, borderValue), name);
+    static_assert(DIM<=MaxDim,"Too many kernel dimensions required by Pad, not supported");
+    return std::make_shared<Node>(std::make_shared<Pad_Op<static_cast<DimIdx_t>(DIM)>>(beginEndTuples, borderType, borderValue), name);
 }
 
 // helper with C-style array instead of std::array for beginEndTuples to allow automatic template DIM deduction
-template <DimSize_t DIMX2>
+template <DimSize_t DIM>
 inline std::shared_ptr<Node> Pad(
-    DimSize_t const (&beginEndTuples)[DIMX2],
+    DimSize_t const (&beginEndTuples)[2*DIM],
     const std::string& name = "",
     const PadBorderType &borderType = PadBorderType::Constant,
     double borderValue = 0.0)
 {
-    static_assert(DIMX2%2==0,"Invalid dimension");
-    static_assert(DIMX2/2<=MaxDim,"Too many kernel dimensions required by Pad, not supported");
-    return Pad<DIMX2/2>(to_array(beginEndTuples), name, borderType, borderValue);
+    return Pad<DIM>(to_array(beginEndTuples), name, borderType, borderValue);
 }
 }  // namespace Aidge