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* Initial commit. create batched_contraction_kernel file * initial problem definition * implement initial example to launch kernel * add universal gemm to contraction. initial phase * complete implementation for special case all Dims are 1 and no Ds * clean code * initial changes to support multi dimensional G * more progress in implementing multiple G * tmp commit * manage dynamic NumDimG in kernel * improving example for multi M,N,K,G handling. start generalizing kernel. it is a temporary commit * implement the example for general Multi dimension G M N K and test different reference calculation algorithms * 2 functions for reference using multi dimensional and flat indexing * clean the code for muti dimentional G, M, N, K contraction and add some logs * Add Make descriptor function in kernel for merging Ms, Ns, Ks for A, B, E * some cleaning on kernel * clean the code for calculating the offsets from flatten batch number * Start adding MultiD support to kernel and example * more changes to manage multi D in kernel and example * manage passing multi d to kernel and testing. * complete multi D support in kernel. modify example code to support it * Correct algorithm to calc the correct offset values for D tensor batches and some code cleaning * Minor fix * Generalize example code for variable NumD tensors and apply cleanup based on review feedback * Refactored code and addressed review feedback * refactoring, cleaning, add documents, in kernel side and example codes * Optimize batch offset calculation in kernel * Inline CalculateBatchOffset in batched contraction kernel, update CHANGELOG.md --------- Co-authored-by: Adam Osewski <19374865+aosewski@users.noreply.github.com>