feat_operator_convtranspose

Context

issue : aidge#235 (closed)

• ADDED :
  • feat : [ADD] PaddedConvTranspose operator
  • feat : [ADD] convtranspose operator
  • feat : added getDataType() function to OperatorTensor
  • feat : approxEqual, better error checking & error messages - replaced tensor->size by tensor->dims comparison - replaced fmt::print by log::error - replaced assert with AIDGE_ASSERT
• FIXES :
  • fix : Expand shape input was set as Param instead of Data
  • fix : missing header in Types.h
• CHORES :
  • chore : [DOC] added pybind documentation to graphview.compile
• Conv
  • feat : [Conv] added check to ensure dilation & stride attributes values are strictly positive
  • fix : [Conv] added check to ensure that dilation & stride values were all >= 1
    • better warning message for conv operator
  • chore : [Conv] updated the method for attribute accession to ease code reading
  • fix : [Conv] added check to ensure that dilation & stride values were all >= 1 & better warning message for conv operator constructor
  • chore : [Conv] updated the method for attribute accession to ease code reading

src/operator/Conv.cpp

@@ -57,14 +57,12 @@ bool Aidge::Conv_Op<DIM>::forwardDims(bool /*allowDataDependency*/) {
         std::array<DimSize_t, DIM + 2> outputDims{};
         const std::array<DimSize_t, DIM + 2> inputDims(getInput(0)->template dims<DIM+2>());
 
-        for (std::size_t dim = 0; dim < mAttributes->template getAttr<ConvAttr::KernelDims>().size() ; ++dim) {
-            const DimSize_t kernelExtent = mAttributes->template getAttr<ConvAttr::DilationDims>()[dim] *
-                                                    (mAttributes->template getAttr<ConvAttr::KernelDims>()[dim] - 1) +
-                                            1;
+        for (std::size_t dim = 0; dim < kernelDims().size() ; ++dim) {
+            const DimSize_t kernelExtent = dilationDims()[dim] * (kernelDims()[dim] - 1) + 1;
 
             outputDims[dim+2] = 1 + static_cast<DimSize_t>(
                     floor(static_cast<float>(inputDims[dim+2] - kernelExtent) /
-                            static_cast<float>(mAttributes->template getAttr<ConvAttr::StrideDims>()[dim])));
+                            static_cast<float>(strideDims()[dim])));
         }
 
         outputDims[1] = outChannels();