[NO CP][release/2.7][ROCm][inductor] Inductor heuristic upstream backports#2807
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pruthvistony merged 31 commits intorelease/2.7from Nov 26, 2025
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Added a check that includes autotune configs for 2D POI only if their size is big enough. (cherry picked from commit a2b0fd7)
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Tested with TORCHINDUCTOR_MAX_AUTOTUNE_POINTWISE=1 to confirm we are getting the extra configs (note that some of them are getting filtered/scaled out as expected). For triton_red_fused_sum_view_22.py: triton_poi_fused_threshold_backward_36 (1D) triton_poi_fused_slice_13 (2D) triton_poi_fused__to_copy_index_add_new_zeros_4 (contans the atomic add config) triton_per_fused_sum_view_23 |
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Ran linter several times to clean the file up. |
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Ran the following test suites as follows: No new regressions reported: |
pruthvistony
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Nov 26, 2025
naromero77amd
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…ports (#2807) These are backports based on these upstream PRs. Cherrypicks were performed when they where possible. pytorch#163908 (persistent reduction autotune) pytorch#161280 (reduction) pytorch#162053 (foreach) pytorch#163197 (pointwise) pytorch#166470 (pointwise config for atomic add) Also included are some additional customer-specific configs which were not upstreamed but are in this backport to 2.9 #2723 Did not backport filter functions such as ` _maybe_filter_configs_for_tma_restrictions` https://github.com/ROCm/pytorch/blob/release/2.9/torch/_inductor/runtime/triton_heuristics.py#L2614 --------- Co-authored-by: Jack Taylor <jack.taylor@amd.com> Co-authored-by: Jack Taylor <108682042+jataylo@users.noreply.github.com> Co-authored-by: Sampsa Riikonen <sriikone@amd.com> Co-authored-by: AmdSampsa <sampsa.riikonen@amd.com> (cherry picked from commit 7de1214)
jataylo
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…ports (#3006) This is identical to this release/2.7 PR: #2807 but now for release/2.8. Because release/2.7 and release/2.8 are similar. Changes were first backported to release/2.7 and then cherry-picked into release/2.8. -- Description from release/2.7 PR is included below These are backports based on these upstream PRs. Cherrypicks were performed when they where possible. pytorch#163908 (persistent reduction autotune) pytorch#161280 (reduction) pytorch#162053 (foreach) pytorch#163197 (pointwise) pytorch#166470 (pointwise config for atomic add) Also included are some additional customer-specific configs which were not upstreamed but are in this backport to 2.9 #2723 Did not backport filter functions such as ` _maybe_filter_configs_for_tma_restrictions` https://github.com/ROCm/pytorch/blob/release/2.9/torch/_inductor/runtime/triton_heuristics.py#L2614 --------- (cherry picked from commit 7de1214) --------- Co-authored-by: Jack Taylor <jack.taylor@amd.com> Co-authored-by: Jack Taylor <108682042+jataylo@users.noreply.github.com> Co-authored-by: Sampsa Riikonen <sriikone@amd.com> Co-authored-by: AmdSampsa <sampsa.riikonen@amd.com>
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These are backports based on these upstream PRs. Cherrypicks were performed when they where possible.
pytorch#163908 (persistent reduction autotune)
pytorch#161280 (reduction)
pytorch#162053 (foreach)
pytorch#163197 (pointwise)
pytorch#166470 (pointwise config for atomic add)
Also included are some additional customer-specific configs which were not upstreamed but are in this backport to 2.9
#2723
Did not backport filter functions such as
_maybe_filter_configs_for_tma_restrictionshttps://github.com/ROCm/pytorch/blob/release/2.9/torch/_inductor/runtime/triton_heuristics.py#L2614