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/Conv.hpp

@@ -12,6 +12,7 @@
 #ifndef AIDGE_CORE_OPERATOR_CONV_H_
 #define AIDGE_CORE_OPERATOR_CONV_H_
 
+#include <algorithm>
 #include <array>
 #include <cstddef>  // std::size_t
 #include <string>
@@ -234,10 +235,16 @@ std::shared_ptr<Node> Conv(DimSize_t inChannels,
                            bool noBias = false);
 
 /**
- * @brief Helper function for Conv with C-style arrays.
+ * @brief Perform a convolution on the input Tensor.
  *
- * This helper function allows automatic template deduction of the number of dimensions (DIM)
- * based on the kernel dimensions provided.
+ * @tparam DIM Number of dimensions for the feature map.
+ * @param inChannels Number of input channels.
+ * @param outChannels Number of output channels.
+ * @param kernelDims Dimensions of the kernel. Must be the same number of dimensions as the feature map.
+ * @param name Name of the operator.
+ * @param strideDims Dimensions of the stride attribute. Must be the same number of dimensions as the feature map.
+ * @param dilationDims Dimensions of the dilation attribute. Must be the same number of dimensions as the feature map.
+ * @return std::shared_ptr<Node> A Node containing the operator.
  */
 template <DimSize_t DIM>
 std::shared_ptr<Node> Conv(