Transpose output DataFormat change based on input and ouputDimsOrder

Context

This MR have to goal to resolve the issue #252 (closed)

Modified files

• Test_TransposeImpl.hpp new unit test with the expected result after the MR;
• Transpose.cpp set output DataFormat;
• DataFormat.hpp function to map the input dataType and outputDimsOrder with an output dataFormat

TODO

• Tests
• Transpose forwardDims
• DataFormat.hpp new method

include/aidge/data/DataFormat.hpp

@@ -83,6 +83,24 @@ using DataFormatTranspose = std::array<std::size_t, 5>;
  */
 DataFormatTranspose getPermutationMapping(const DataFormat& src, const DataFormat& dst);
 
+/**
+ * @brief Determine the output data format after applying a transpose operation.
+ *
+ * This function computes the new data format after transposing a tensor.
+ *
+ * It follows these steps:
+ *   1. Retrieves the permutation mapping from the input format.
+ *   2. Applies the given output dimensions order to compute the new permutation.
+ *   3. Identifies the corresponding data format after applying the new permutation.
+ * 
+ * @param inputDataFormat The data format of the input tensor.
+ * @param outputDimsOrder The permutation applied to the input tensor's dimensions.
+ * @return DataFormat The computed output data format after applying the permutation.
+ *
+ * @pre `outputDimsOrder` must be a valid permutation of the format's dimensions.
+ */
+DataFormat getTransposedDataFormat(const DataFormat inputDataFormat, const std::array<std::size_t, 5> outputDimsOrder);
+
 } // namespace Aidge
 
 namespace {