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

include/aidge/operator/MetaOperatorDefs.hpp

@@ -200,6 +200,48 @@ PaddedAvgPooling(DimSize_t const (&kernel_dims)[DIM],
 
 ////////////////////////////////////////////////////////////////////////////////
 
+template <std::array<DimSize_t, 1>::size_type DIM>
+extern std::shared_ptr<Node> PaddedConvTranspose(
+                                  const DimSize_t &inChannels,
+                                  const DimSize_t &outChannels,
+                                  const std::array<DimSize_t, DIM> &kernelDims,
+                                  const std::array<DimSize_t, DIM> &strideDims =
+                                      create_array<DimSize_t,DIM>(1),
+                                  const std::array<DimSize_t, DIM> &dilationDims =
+                                      create_array<DimSize_t,DIM>(1),
+                                  const bool noBias = false,
+                                  const std::array<DimSize_t, 2*DIM> &paddingDims =
+                                      create_array<DimSize_t,2*DIM>(0),
+                                  const std::string& name = "");
+
+template <std::array<DimSize_t, 1>::size_type DIM>
+extern std::shared_ptr<Node> PaddedConvTranspose(const DimSize_t &inChannels,
+                                  const DimSize_t &outChannels,
+                                  DimSize_t const (&kernel_dims)[DIM],
+                                  const std::array<DimSize_t, DIM> &strideDims =
+                                      create_array<DimSize_t,DIM>(1),
+                                  const std::array<DimSize_t, DIM> &dilationDims =
+                                      create_array<DimSize_t,DIM>(1),
+                                  const bool noBias = false,
+                                  const std::array<DimSize_t, 2*DIM> &paddingDims =
+                                      create_array<DimSize_t,2*DIM>(0),
+                                  const std::string& name = "");
+
+template <std::array<DimSize_t, 1>::size_type DIM>
+extern std::shared_ptr<MetaOperator_Op> PaddedConvTranspose_Op(const DimSize_t &inChannels,
+                                  const DimSize_t &outChannels,
+                                  const std::array<DimSize_t, DIM> &kernelDims,
+                                  const std::array<DimSize_t, DIM> &strideDims =
+                                      create_array<DimSize_t,DIM>(1),
+                                  const std::array<DimSize_t, DIM> &dilationDims =
+                                      create_array<DimSize_t,DIM>(1),
+                                  const bool noBias = false,
+                                  const std::array<DimSize_t, 2*DIM> &paddingDims =
+                                      create_array<DimSize_t,2*DIM>(0),
+                                  const std::string& name = "");
+
+////////////////////////////////////////////////////////////////////////////////
+
 /**
  * @brief Creates a padded max pooling operation.
  *