[BugFix][TIR] Fix multi-grouped multi-warp allreduce #15399
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PR apache#15327 and apache#15373 introduced multi-warp allreduce implementation. At the time of the introduction, I tested the correctness numerically via the workload of "taking a matrix of ones as input, computing the summation over each row". Both PR passed this numerical tess, while I didn't realize that this test is not complete and cannot guarantee the correctness. The previous implementation has bug which can be tested by turning the input matrix from ones to random floating-point numbers. This will expose the issues of the previous implementation. Therefore, this PR fixes the issues, and add the numerical tests for multi-warp allreduce into `test_allreduce_cuda.py`. By reducing some of the redundant tests in that file, we hope this can reduce the testing time a bit while still guarantee the correctness. Sorry for not testing the implementation completely before.
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tqchen
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Jul 25, 2023
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PR #15327 and #15373 introduced multi-warp allreduce implementation. At the time of the introduction, I tested the correctness numerically via the workload of "taking a matrix of ones as input, computing the summation over each row". Both PR passed this numerical tess, while I didn't realize that this test is not complete and cannot guarantee the correctness.
The previous implementation has bug which can be tested by turning the input matrix from ones to random floating-point numbers. This will expose the issues of the previous implementation.
Therefore, this PR fixes the issues, and add the numerical tests for multi-warp allreduce into
test_allreduce_cuda.py. By reducing some of the redundant tests in that file, we hope this can reduce the testing time a bit while still guarantee the correctness.Sorry for not testing the implementation completely before.