[release/2.9][ROCm][inductor] Improved fast_tanh code generation #2804
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(cherry picked from commit 7c5277f)
naromero77amd
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jataylo,
jeffdaily,
jithunnair-amd and
pruthvistony
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Jenkins build for 0b59f1c2c8cbe8aeb86ce9a5d6aa471f75e76091 commit finished as FAILURE |
This was referenced Nov 13, 2025
naromero77amd
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I have confirmed that it resolves the reproducer in the Jira. |
jataylo
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Nov 14, 2025
(cherry picked from commit f416c71)
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Jenkins build for 427f9b0052f4e799d68a25f40715c4cb0cd3bac3 commit finished as FAILURE |
pruthvistony
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Nov 17, 2025
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_MATH` environment 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: - In support of [SWDEV-560271](https://ontrack-internal.amd.com/browse/SWDEV-560271) - Triton 3.3 backport of upstream Triton commit ROCm/triton#902 - Similar to #2803, #2804 - Related to pytorch#162052
pruthvistony
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Nov 17, 2025
In the ROCm fork of PyTorch 2.8, Inductor currently has codegen support for fast_tanhf. However, there were 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). A bump in the Triton commit is also needed. Other notes: - In support of [SWDEV-560271](https://ontrack-internal.amd.com/browse/SWDEV-560271) - Triton 3.4 backport of upstream Triton commit ROCm/triton#900 - Similar to #2802, #2804 - Related to pytorch#162052
pruthvistony
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Nov 17, 2025
jeffdaily
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Nov 17, 2025
In the ROCm fork of PyTorch 2.9, Inductor currently has codegen support for fast_tanhf. However, there were 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). A bump in the Triton commit is also needed. Other notes: - In support of [SWDEV-560271](https://ontrack-internal.amd.com/browse/SWDEV-560271) - Triton 3.5 backport of upstream Triton commit ROCm/triton#901 - Similar to #2802, #2803 - Related to pytorch#162052
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In the ROCm fork of PyTorch 2.9, Inductor currently has codegen support for fast_tanhf. However, there were 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).
A bump in the Triton commit is also needed.
Other notes: