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* Add indexing support to pooling operator - Add IndexDataType template parameter to pooling problem and kernel definitions - Enable pooling kernel to output indices of selected elements during max/absmax pooling - Add overloaded operators for Max and AbsMax that track when values change using bool changed parameter - Support optional index buffer allocation and management in device memory - Modify BlockReduce2d classes to handle index tensors alongside value tensors - Add separate shared memory allocation for index data in cross-warp reductions - Create validate_pool_indices function to verify index correctness - Modify pool3d.cpp example to demonstrate index output functionality - Add tests for index output * fixes * Refactor BlockReduce2D functions to get rid auxiliary private types. * comment resolutions and some changes to block_reduce2d - index reference implementation improved - reduce_operator.hpp cleanedup - updated the block_reduce2d.hpp to have index calculation for BlockReduce2dLinearCrossWarpSync as well * conditionally used variable declaration improvement - the conditionally used vairbales are used only when indexing is enabled. To inform the compiler that they may be unused and declare them with least size possible. This may allow it to be optimized compared to the previous declarations * comment resolutions * lexical ordering of the indicies - introduced accumulate methods that handle the intermediate steps if needed to order the indexes * add reduce_operator_accumulate.hpp to core.hpp --------- Co-authored-by: Adam Osewski <Adam.Osewski@amd.com>