kimm240 opened a new pull request, #18508:
URL: https://github.com/apache/tvm/pull/18508

   The FuseReductionEpilogue primitive currently supports fusing bias addition 
epilogues into reduction blocks. This commit extends the primitive to also 
support ReLU activation functions in epilogue blocks, enabling fusion of 
patterns like max(temp + bias, 0) into the reduction computation.
   
   The implementation adds an EpilogueType enumeration to distinguish between 
Bias and BiasReLU patterns. The AnalyzeEpiloguePattern method is extended to 
detect ReLU patterns by checking for MaxNode expressions with zero constants.
   
   This commit also adds comprehensive tests in
   test_tir_schedule_fuse_reduction_epilogue_relu.py, following the same 
patterns as the existing bias tests. The tests verify structural equality, 
numerical correctness with per-iteration ReLU semantics, and multiple epilogue 
block scenarios. All tests pass successfully.


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