[release/2.7][ROCm][inductor] Improved fast_tanh code generation #2802
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naromero77amd
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jataylo,
jeffdaily,
jithunnair-amd and
pruthvistony
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Jenkins build for 1b1fde5fcc342c2c0d3c69bf95a91501fc39b324 commit finished as FAILURE |
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I have confirmed that it resolves the reproducer in the Jira. |
This was referenced Nov 13, 2025
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In the ROCm fork of PyTorch 2.7, Inductor currently has codegen support for fast_tanhf. However, it is currently guarded by
TORCHINDUCTOR_USE_FAST_MATHenvironment variable due to some NaN issues in the original Triton implementation of fast_tanhf.Upstream Triton has an improved fast_tanhf where the NaN issues are now fixed. This upstream commit has been backported to ROCm fork of Triton (see code comments).
Thus, I have removed the conditionalization on Triton versions as well. A bump in the Triton commit is also needed.
Other notes: