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)
     });