[Fix][TIR] LowerThreadAllreduce with correct thread mask#15323
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tqchen merged 1 commit intoapache:mainfrom Jul 15, 2023
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[Fix][TIR] LowerThreadAllreduce with correct thread mask#15323tqchen merged 1 commit intoapache:mainfrom
tqchen merged 1 commit intoapache:mainfrom
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This PR fixes a bug in the LowerThreadAllreduce pass. Prior to this PR, in multi-group settings, the thread mask is not correctly set: when the reduction extent is 32, the thread mask will always be 0. This bug was not spotted because even when the mask is 0, the CUDA program still gives correct result. But in any way, having the zero mask is dangerous and should be fixed.
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yzh119
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Thank @MasterJH5574 for spotting the bug!
junrushao
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This PR fixes a bug in the LowerThreadAllreduce pass. Prior to this PR, in multi-group settings, the thread mask is not correctly set: when the reduction extent is 32, the thread mask will always be 0. This bug was not spotted because even when the mask is 0, the CUDA program still gives correct result. But in any way, having the zero mask is dangerous and should be fixed.
junrushao
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Jul 27, 2023
This PR fixes a bug in the LowerThreadAllreduce pass. Prior to this PR, in multi-group settings, the thread mask is not correctly set: when the reduction extent is 32, the thread mask will always be 0. This bug was not spotted because even when the mask is 0, the CUDA program still gives correct result. But in any way, having the zero mask is dangerous and should be fixed.
junrushao
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to junrushao/tvm
that referenced
this pull request
Jul 30, 2023
This PR fixes a bug in the LowerThreadAllreduce pass. Prior to this PR, in multi-group settings, the thread mask is not correctly set: when the reduction extent is 32, the thread mask will always be 0. This bug was not spotted because even when the mask is 0, the CUDA program still gives correct result. But in any way, having the zero mask is dangerous and should be fixed.
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This PR fixes a bug in the LowerThreadAllreduce pass.
Prior to this PR, in multi-group settings, the thread mask is not correctly set: when the reduction extent is 32, the thread mask will always be 0. This bug was not spotted because even when the mask is 0, the CUDA program still gives correct result. But in any way, having the zero mask is dangerous and should be fixed.