Add Thor selective state update configs by whitesscott · Pull Request #44590 · vllm-project/vllm

whitesscott · 2026-06-05T00:13:45Z

Summary

Add pre-generated selective state update tuning configs for NVIDIA Thor.

This adds Thor-specific cached tuning results for the Mamba selective state update op with:

headdim=64
dstate=128
cache_dtype=float16
cache_dtype=float32

These configs avoid requiring runtime autotuning for this Thor configuration and let the op use the cached tuning parameters directly.

Testing

Generated the tuning configs on NVIDIA Jetson AGX Thor.

No source code changes are included; this PR only adds tuning config JSON files.

Purpose

Test Plan

Test Result

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The test plan, such as providing test command.
The test results, such as pasting the results comparison before and after, or e2e results
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claude

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github-actions · 2026-06-05T00:13:54Z

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tomeras91

Thanks!

Can you post perf measurements for this? See #44251 for example
Can you post quality evals to assert there's no regression?
Please fix DCO

--- When `--validate` included, Nvidia Jetson Thor, Jetpack 7.2 kernel Out Of Memory killed python on the final pass as follows during bottom two validation attempts. ``` Device : NVIDIA_Thor (sm_110) Blackwell: True dtype : bfloat16 ssm_cache_dtype: float32 headdim: 64 ngroups: 8 triton : 3.7.0 Note: skipping (batch, nheads) pairs whose effective_batch exceeds 262144: [(1536, 256), (2048, 256)] ========================================================================== Tuning headdim=64 dstate=128 ngroups=8 dtype=torch.bfloat16 ssm_cache_dtype=torch.float32 ========================================================================== BSM candidates (capped at next_pow2(headdim=64)): [4, 8, 16, 32, 64] EffBatch | BLOCK_M | warps | us | note ---------------------------------------------------- 8 | 4 | 1 | 2.43 | best 16 | 4 | 1 | 3.25 | best 32 | 4 | 1 | 4.65 | best 64 | 4 | 1 | 7.43 | best 128 | 8 | 1 | 12.84 | best 256 | 8 | 1 | 22.99 | best 512 | 16 | 2 | 67.20 | best 1024 | 32 | 8 | 250.30 | best 2048 | 8 | 8 | 580.27 | best 4096 | 16 | 2 | 1128.28 | best 8192 | 8 | 2 | 2219.08 | best 12288 | 32 | 2 | 3317.47 | best 16384 | 32 | 8 | 4388.17 | best 24576 | 64 | 4 | 6576.24 | best 32768 | 32 | 8 | 8760.57 | best 49152 | 8 | 8 | 13083.36 | best 65536 | 64 | 8 | 17550.64 | best 98304 | 64 | 4 | 26363.62 | best 131072 | 8 | 1 | 35285.35 | best 196608 | 64 | 4 | 52070.40 | best 262144 | 32 | 8 | 69482.58 | best ========================================================================== Comparison headdim=64 dstate=128 ngroups=8 — heuristic vs tuned Heuristic: BLOCK_SIZE_M=32, num_warps=8 ========================================================================== EffBatch | Heur(us) | Tuned(us) | Speedup | Best config ----------------------------------------------------------- 8 | 3.45 | 2.43 | 1.42x | M=4,w=1 <-- 16 | 4.56 | 3.25 | 1.41x | M=4,w=1 <-- 32 | 6.89 | 4.65 | 1.48x | M=4,w=1 <-- 64 | 10.44 | 7.43 | 1.41x | M=4,w=1 <-- 128 | 17.34 | 12.84 | 1.35x | M=8,w=1 <-- 256 | 31.71 | 22.99 | 1.38x | M=8,w=1 <-- 512 | 70.92 | 67.20 | 1.06x | M=16,w=2 <-- 1024 | 250.30 | 250.30 | 1.00x | M=32,w=8 2048 | 583.24 | 580.27 | 1.01x | M=8,w=8 4096 | 1188.58 | 1128.28 | 1.05x | M=16,w=2 <-- 8192 | 2284.68 | 2219.08 | 1.03x | M=8,w=2 12288 | 3318.07 | 3317.47 | 1.00x | M=32,w=2 16384 | 4388.17 | 4388.17 | 1.00x | M=32,w=8 24576 | 6636.44 | 6576.24 | 1.01x | M=64,w=4 32768 | 8760.57 | 8760.57 | 1.00x | M=32,w=8 49152 | 13154.63 | 13083.36 | 1.01x | M=8,w=8 65536 | 17609.53 | 17550.64 | 1.00x | M=64,w=8 98304 | 26839.61 | 26363.62 | 1.02x | M=64,w=4 131072 | 37397.57 | 35285.35 | 1.06x | M=8,w=1 <-- 196608 | 52739.99 | 52070.40 | 1.01x | M=64,w=4 262144 | 69482.58 | 69482.58 | 1.00x | M=32,w=8 Saved: /home/scott/.git/vllm/vllm/model_executor/layers/mamba/ops/configs/selective_state_update/headdim=64,dstate=128,device_name=NVIDIA_Thor,cache_dtype=float32.json ``` --- --- Validation notes: The benchmark was OOM-killed during the last / largest validation case. First run: ```bash python3 -m benchmarks.kernels.benchmark_selective_state_update \ --ngroups 8 \ --headdim 64 \ --dstate 128 \ --nheads 8 16 32 64 128 256 \ --mamba-ssm-cache-dtype float32 \ --compare --validate --save-configs Result: ``` Device : NVIDIA_Thor (sm_110) Blackwell: True dtype : bfloat16 ssm_cache_dtype: float32 headdim: 64 ngroups: 8 triton : 3.7.0 Note: skipping (batch, nheads) pairs whose effective_batch exceeds 262144: [(1536, 256), (2048, 256)] ========================================================================== Tuning headdim=64 dstate=128 ngroups=8 dtype=torch.bfloat16 ssm_cache_dtype=torch.float32 ========================================================================== BSM candidates (capped at next_pow2(headdim=64)): [4, 8, 16, 32, 64] EffBatch | BLOCK_M | warps | us | note ---------------------------------------------------- 8 | 4 | 1 | 2.46 | best 16 | 4 | 1 | 3.43 | best 32 | 4 | 1 | 4.72 | best 64 | 4 | 1 | 7.19 | best 128 | 8 | 1 | 12.83 | best 256 | 8 | 1 | 22.96 | best 512 | 16 | 4 | 61.76 | best 1024 | 4 | 1 | 232.27 | best 2048 | 32 | 8 | 567.03 | best 4096 | 16 | 8 | 1116.42 | best 8192 | 32 | 8 | 2183.05 | best 12288 | 4 | 4 | 3249.55 | best 16384 | 16 | 8 | 4376.66 | best 24576 | 64 | 4 | 6525.07 | best 32768 | 32 | 8 | 8729.07 | best 49152 | 32 | 8 | 13003.55 | best 65536 | 32 | 8 | 17294.22 | best 98304 | 32 | 8 | 26057.46 | best 131072 | 16 | 8 | 34916.07 | best 196608 | 16 | 8 | 52003.64 | best 262144 | 32 | 8 | 69451.42 | best ========================================================================== Comparison headdim=64 dstate=128 ngroups=8 — heuristic vs tuned Heuristic: BLOCK_SIZE_M=32, num_warps=8 ========================================================================== EffBatch | Heur(us) | Tuned(us) | Speedup | Best config ----------------------------------------------------------- 8 | 3.68 | 2.46 | 1.50x | M=4,w=1 <-- 16 | 4.63 | 3.43 | 1.35x | M=4,w=1 <-- 32 | 6.87 | 4.72 | 1.46x | M=4,w=1 <-- 64 | 10.47 | 7.19 | 1.46x | M=4,w=1 <-- 128 | 17.35 | 12.83 | 1.35x | M=8,w=1 <-- 256 | 31.71 | 22.96 | 1.38x | M=8,w=1 <-- 512 | 62.99 | 61.76 | 1.02x | M=16,w=4 1024 | 237.91 | 232.27 | 1.02x | M=4,w=1 2048 | 567.03 | 567.03 | 1.00x | M=32,w=8 4096 | 1118.62 | 1116.42 | 1.00x | M=16,w=8 8192 | 2183.05 | 2183.05 | 1.00x | M=32,w=8 12288 | 3266.94 | 3249.55 | 1.01x | M=4,w=4 16384 | 4505.15 | 4376.66 | 1.03x | M=16,w=8 24576 | 6561.48 | 6525.07 | 1.01x | M=64,w=4 32768 | 8729.07 | 8729.07 | 1.00x | M=32,w=8 49152 | 13003.55 | 13003.55 | 1.00x | M=32,w=8 65536 | 17294.22 | 17294.22 | 1.00x | M=32,w=8 98304 | 26057.46 | 26057.46 | 1.00x | M=32,w=8 131072 | 35181.81 | 34916.07 | 1.01x | M=16,w=8 196608 | 52110.70 | 52003.64 | 1.00x | M=16,w=8 262144 | 69451.42 | 69451.42 | 1.00x | M=32,w=8 ========================================================================== Validation headdim=64 dstate=128 ngroups=8 dtype=torch.bfloat16 ssm_cache_dtype=torch.float32 atol=0.01 ========================================================================== EffBatch | MaxAbsErr | Status ------------------------------------ 8 | 0.000000 | PASS 16 | 0.000000 | PASS 32 | 0.000000 | PASS 64 | 0.031250 | PASS 128 | 0.000002 | PASS 256 | 0.000002 | PASS 512 | 0.001953 | PASS 1024 | 0.031250 | PASS 2048 | 0.062500 | PASS 4096 | 0.125000 | PASS 8192 | 0.250000 | PASS 12288 | 0.250000 | PASS 16384 | 0.125000 | PASS 24576 | 0.500000 | PASS 32768 | 0.250000 | PASS 49152 | 0.125000 | PASS 65536 | 0.250000 | PASS 98304 | 0.250000 | PASS 131072 | 0.250000 | PASS 196608 | 0.250000 | PASS Killed dmesg: Out of memory: Killed process 12975 (python3) total-vm:144448500kB, anon-rss:113672kB, file-rss:21444kB, shmem-rss:26752kB, UID:1000 pgtables:5264kB oom_score_adj:200 NVRM: GPU0 nvCheckOkFailedNoLog: Check failed: Out of memory [NV_ERR_NO_MEMORY] (0x00000051) returned from _memdescAllocInternal(pMemDesc) @ mem_desc.c:1336 NVRM: GPU0 nvCheckOkFailedNoLog: Check failed: Out of memory [NV_ERR_NO_MEMORY] (0x00000051) returned from rmStatus @ system_mem.c:342 NVRM: failed to copy out ioctl data oom_reaper: reaped process 12975 (python3), now anon-rss:156kB, file-rss:376kB, shmem-rss:64kB ``` --- --- Second validation run: ```bash python3 -m benchmarks.kernels.benchmark_selective_state_update \ --ngroups 8 \ --headdim 64 \ --dstate 128 \ --nheads 8 16 32 64 128 \ --mamba-ssm-cache-dtype float32 \ --validate ``` Result: ``` Device : NVIDIA_Thor (sm_110) Blackwell: True dtype : bfloat16 ssm_cache_dtype: float32 headdim: 64 ngroups: 8 triton : 3.7.0 ========================================================================== Tuning headdim=64 dstate=128 ngroups=8 dtype=torch.bfloat16 ssm_cache_dtype=torch.float32 ========================================================================== BSM candidates (capped at next_pow2(headdim=64)): [4, 8, 16, 32, 64] EffBatch | BLOCK_M | warps | us | note ---------------------------------------------------- 8 | 4 | 1 | 2.46 | best 16 | 4 | 1 | 3.26 | best 32 | 4 | 1 | 4.56 | best 64 | 4 | 1 | 7.47 | best 128 | 8 | 1 | 12.87 | best 256 | 8 | 1 | 22.96 | best 512 | 4 | 1 | 66.53 | best 1024 | 4 | 1 | 274.15 | best 2048 | 8 | 8 | 548.48 | best 4096 | 8 | 8 | 1053.09 | best 8192 | 8 | 8 | 2170.64 | best 12288 | 8 | 1 | 3303.42 | best 16384 | 16 | 8 | 4398.90 | best 24576 | 64 | 4 | 6566.79 | best 32768 | 8 | 8 | 8712.86 | best 49152 | 8 | 8 | 13006.62 | best 65536 | 8 | 8 | 17219.88 | best 98304 | 32 | 8 | 26542.40 | best 131072 | 16 | 8 | 34782.30 | best 196608 | 16 | 8 | 52399.23 | best 262144 | 64 | 4 | 69882.65 | best ========================================================================== Validation headdim=64 dstate=128 ngroups=8 dtype=torch.bfloat16 ssm_cache_dtype=torch.float32 atol=0.01 ========================================================================== EffBatch | MaxAbsErr | Status ------------------------------------ 8 | 0.000000 | PASS 16 | 0.000000 | PASS 32 | 0.031250 | PASS 64 | 0.125000 | PASS 128 | 0.000031 | PASS 256 | 0.031250 | PASS 512 | 0.000244 | PASS 1024 | 0.125000 | PASS 2048 | 0.062500 | PASS 4096 | 0.031250 | PASS 8192 | 0.062500 | PASS 12288 | 0.250000 | PASS 16384 | 0.125000 | PASS 24576 | 0.250000 | PASS 32768 | 0.125000 | PASS 49152 | 0.250000 | PASS 65536 | 0.500000 | PASS 98304 | 0.500000 | PASS 131072 | 0.500000 | PASS 196608 | 0.250000 | PASS Killed dmesg [Sun Jun 7 18:03:26 2026] Out of memory: Killed process 16563 (python3) total-vm:143902072kB, anon-rss:64720kB, file-rss:21956kB, shmem-rss:26752kB, UID:1000 pgtables:5176kB oom_score_adj:200 [Sun Jun 7 18:03:28 2026] NVRM: GPU0 nvCheckOkFailedNoLog: Check failed: Out of memory [NV_ERR_NO_MEMORY] (0x00000051) returned from _memdescAllocInternal(pMemDesc) @ mem_desc.c:1336 [Sun Jun 7 18:03:28 2026] NVRM: GPU0 nvCheckOkFailedNoLog: Check failed: Out of memory [NV_ERR_NO_MEMORY] (0x00000051) returned from rmStatus @ system_mem.c:342 [Sun Jun 7 18:03:28 2026] oom_reaper: reaped process 16563 (python3), now anon-rss:176kB, file-rss:300kB, shmem-rss:0kB ```

…te-configs

whitesscott · 2026-06-08T04:28:34Z

Add Thor selective state update config for float32 cache.

When --validate included, Nvidia Jetson Thor, Jetpack 7.2 kernel Out Of Memory killed python on the final pass as follows during bottom two validation attempts.

Device : NVIDIA_Thor  (sm_110)
Blackwell: True
dtype  : bfloat16
ssm_cache_dtype: float32
headdim: 64
ngroups: 8
triton : 3.7.0
  Note: skipping (batch, nheads) pairs whose effective_batch exceeds 262144: [(1536, 256), (2048, 256)]

---------------------------------------------------
Tuning  headdim=64  dstate=128  ngroups=8  dtype=torch.bfloat16  ssm_cache_dtype=torch.float32
----------------------------------------------------
BSM candidates (capped at next_pow2(headdim=64)): [4, 8, 16, 32, 64]
EffBatch | BLOCK_M | warps |         us | note
----------------------------------------------------
       8 |       4 |     1 |       2.43 | best
      16 |       4 |     1 |       3.25 | best
      32 |       4 |     1 |       4.65 | best
      64 |       4 |     1 |       7.43 | best
     128 |       8 |     1 |      12.84 | best
     256 |       8 |     1 |      22.99 | best
     512 |      16 |     2 |      67.20 | best
    1024 |      32 |     8 |     250.30 | best
    2048 |       8 |     8 |     580.27 | best
    4096 |      16 |     2 |    1128.28 | best
    8192 |       8 |     2 |    2219.08 | best
   12288 |      32 |     2 |    3317.47 | best
   16384 |      32 |     8 |    4388.17 | best
   24576 |      64 |     4 |    6576.24 | best
   32768 |      32 |     8 |    8760.57 | best
   49152 |       8 |     8 |   13083.36 | best
   65536 |      64 |     8 |   17550.64 | best
   98304 |      64 |     4 |   26363.62 | best
  131072 |       8 |     1 |   35285.35 | best
  196608 |      64 |     4 |   52070.40 | best
  262144 |      32 |     8 |   69482.58 | best

-----------------------------------------------------------
Comparison  headdim=64  dstate=128  ngroups=8  —  heuristic vs tuned
Heuristic: BLOCK_SIZE_M=32, num_warps=8
-----------------------------------------------------------
EffBatch |   Heur(us) |  Tuned(us) |  Speedup | Best config
-----------------------------------------------------------
       8 |       3.45 |       2.43 |    1.42x | M=4,w=1 <--
      16 |       4.56 |       3.25 |    1.41x | M=4,w=1 <--
      32 |       6.89 |       4.65 |    1.48x | M=4,w=1 <--
      64 |      10.44 |       7.43 |    1.41x | M=4,w=1 <--
     128 |      17.34 |      12.84 |    1.35x | M=8,w=1 <--
     256 |      31.71 |      22.99 |    1.38x | M=8,w=1 <--
     512 |      70.92 |      67.20 |    1.06x | M=16,w=2 <--
    1024 |     250.30 |     250.30 |    1.00x | M=32,w=8
    2048 |     583.24 |     580.27 |    1.01x | M=8,w=8
    4096 |    1188.58 |    1128.28 |    1.05x | M=16,w=2 <--
    8192 |    2284.68 |    2219.08 |    1.03x | M=8,w=2
   12288 |    3318.07 |    3317.47 |    1.00x | M=32,w=2
   16384 |    4388.17 |    4388.17 |    1.00x | M=32,w=8
   24576 |    6636.44 |    6576.24 |    1.01x | M=64,w=4
   32768 |    8760.57 |    8760.57 |    1.00x | M=32,w=8
   49152 |   13154.63 |   13083.36 |    1.01x | M=8,w=8
   65536 |   17609.53 |   17550.64 |    1.00x | M=64,w=8
   98304 |   26839.61 |   26363.62 |    1.02x | M=64,w=4
  131072 |   37397.57 |   35285.35 |    1.06x | M=8,w=1 <--
  196608 |   52739.99 |   52070.40 |    1.01x | M=64,w=4
  262144 |   69482.58 |   69482.58 |    1.00x | M=32,w=8

Saved: /home/scott/.git/vllm/vllm/model_executor/layers/mamba/ops/configs/selective_state_update/headdim=64,dstate=128,device_name=NVIDIA_Thor,cache_dtype=float32.json

Validation notes:

The benchmark was OOM-killed during the last / largest validation case.

First run:

python3 -m benchmarks.kernels.benchmark_selective_state_update \
  --ngroups 8 \
  --headdim 64 \
  --dstate 128 \
  --nheads 8 16 32 64 128 256 \
  --mamba-ssm-cache-dtype float32 \
  --compare --validate --save-configs

Result:

Device : NVIDIA_Thor  (sm_110)
Blackwell: True
dtype  : bfloat16
ssm_cache_dtype: float32
headdim: 64
ngroups: 8
triton : 3.7.0
  Note: skipping (batch, nheads) pairs whose effective_batch exceeds 262144: [(1536, 256), (2048, 256)]

----------------------------------------------
Tuning  headdim=64  dstate=128  ngroups=8  dtype=torch.bfloat16  ssm_cache_dtype=torch.float32
==========================================================================
BSM candidates (capped at next_pow2(headdim=64)): [4, 8, 16, 32, 64]
EffBatch | BLOCK_M | warps |         us | note
----------------------------------------------------
       8 |       4 |     1 |       2.46 | best
      16 |       4 |     1 |       3.43 | best
      32 |       4 |     1 |       4.72 | best
      64 |       4 |     1 |       7.19 | best
     128 |       8 |     1 |      12.83 | best
     256 |       8 |     1 |      22.96 | best
     512 |      16 |     4 |      61.76 | best
    1024 |       4 |     1 |     232.27 | best
    2048 |      32 |     8 |     567.03 | best
    4096 |      16 |     8 |    1116.42 | best
    8192 |      32 |     8 |    2183.05 | best
   12288 |       4 |     4 |    3249.55 | best
   16384 |      16 |     8 |    4376.66 | best
   24576 |      64 |     4 |    6525.07 | best
   32768 |      32 |     8 |    8729.07 | best
   49152 |      32 |     8 |   13003.55 | best
   65536 |      32 |     8 |   17294.22 | best
   98304 |      32 |     8 |   26057.46 | best
  131072 |      16 |     8 |   34916.07 | best
  196608 |      16 |     8 |   52003.64 | best
  262144 |      32 |     8 |   69451.42 | best

----------------------------------------------------------
Comparison  headdim=64  dstate=128  ngroups=8  —  heuristic vs tuned
Heuristic: BLOCK_SIZE_M=32, num_warps=8
-----------------------------------------------------------
EffBatch |   Heur(us) |  Tuned(us) |  Speedup | Best config
-----------------------------------------------------------
       8 |       3.68 |       2.46 |    1.50x | M=4,w=1 <--
      16 |       4.63 |       3.43 |    1.35x | M=4,w=1 <--
      32 |       6.87 |       4.72 |    1.46x | M=4,w=1 <--
      64 |      10.47 |       7.19 |    1.46x | M=4,w=1 <--
     128 |      17.35 |      12.83 |    1.35x | M=8,w=1 <--
     256 |      31.71 |      22.96 |    1.38x | M=8,w=1 <--
     512 |      62.99 |      61.76 |    1.02x | M=16,w=4
    1024 |     237.91 |     232.27 |    1.02x | M=4,w=1
    2048 |     567.03 |     567.03 |    1.00x | M=32,w=8
    4096 |    1118.62 |    1116.42 |    1.00x | M=16,w=8
    8192 |    2183.05 |    2183.05 |    1.00x | M=32,w=8
   12288 |    3266.94 |    3249.55 |    1.01x | M=4,w=4
   16384 |    4505.15 |    4376.66 |    1.03x | M=16,w=8
   24576 |    6561.48 |    6525.07 |    1.01x | M=64,w=4
   32768 |    8729.07 |    8729.07 |    1.00x | M=32,w=8
   49152 |   13003.55 |   13003.55 |    1.00x | M=32,w=8
   65536 |   17294.22 |   17294.22 |    1.00x | M=32,w=8
   98304 |   26057.46 |   26057.46 |    1.00x | M=32,w=8
  131072 |   35181.81 |   34916.07 |    1.01x | M=16,w=8
  196608 |   52110.70 |   52003.64 |    1.00x | M=16,w=8
  262144 |   69451.42 |   69451.42 |    1.00x | M=32,w=8

--------------------------------------
Validation  headdim=64  dstate=128  ngroups=8  dtype=torch.bfloat16  ssm_cache_dtype=torch.float32  atol=0.01
--------------------------------------
EffBatch |    MaxAbsErr |   Status
------------------------------------
       8 |     0.000000 |     PASS
      16 |     0.000000 |     PASS
      32 |     0.000000 |     PASS
      64 |     0.031250 |     PASS
     128 |     0.000002 |     PASS
     256 |     0.000002 |     PASS
     512 |     0.001953 |     PASS
    1024 |     0.031250 |     PASS
    2048 |     0.062500 |     PASS
    4096 |     0.125000 |     PASS
    8192 |     0.250000 |     PASS
   12288 |     0.250000 |     PASS
   16384 |     0.125000 |     PASS
   24576 |     0.500000 |     PASS
   32768 |     0.250000 |     PASS
   49152 |     0.125000 |     PASS
   65536 |     0.250000 |     PASS
   98304 |     0.250000 |     PASS
  131072 |     0.250000 |     PASS
  196608 |     0.250000 |     PASS
**Killed**

  dmesg:
Out of memory: Killed process 12975 (python3) total-vm:144448500kB, anon-rss:113672kB, file-rss:21444kB, shmem-rss:26752kB, UID:1000 pgtables:5264kB oom_score_adj:200
NVRM: GPU0 nvCheckOkFailedNoLog: Check failed: Out of memory [NV_ERR_NO_MEMORY] (0x00000051) returned from _memdescAllocInternal(pMemDesc) @ mem_desc.c:1336
NVRM: GPU0 nvCheckOkFailedNoLog: Check failed: Out of memory [NV_ERR_NO_MEMORY] (0x00000051) returned from rmStatus @ system_mem.c:342
NVRM: failed to copy out ioctl data
oom_reaper: reaped process 12975 (python3), now anon-rss:156kB, file-rss:376kB, shmem-rss:64kB

Second validation run:

python3 -m benchmarks.kernels.benchmark_selective_state_update \
  --ngroups 8 \
  --headdim 64 \
  --dstate 128 \
  --nheads 8 16 32 64 128 \
  --mamba-ssm-cache-dtype float32 \
  --validate

Result:

Device : NVIDIA_Thor  (sm_110)
Blackwell: True
dtype  : bfloat16
ssm_cache_dtype: float32
headdim: 64
ngroups: 8
triton : 3.7.0

----------------------------------------------------
Tuning  headdim=64  dstate=128  ngroups=8  dtype=torch.bfloat16  ssm_cache_dtype=torch.float32
----------------------------------------------------
BSM candidates (capped at next_pow2(headdim=64)): [4, 8, 16, 32, 64]
EffBatch | BLOCK_M | warps |         us | note
----------------------------------------------------
       8 |       4 |     1 |       2.46 | best
      16 |       4 |     1 |       3.26 | best
      32 |       4 |     1 |       4.56 | best
      64 |       4 |     1 |       7.47 | best
     128 |       8 |     1 |      12.87 | best
     256 |       8 |     1 |      22.96 | best
     512 |       4 |     1 |      66.53 | best
    1024 |       4 |     1 |     274.15 | best
    2048 |       8 |     8 |     548.48 | best
    4096 |       8 |     8 |    1053.09 | best
    8192 |       8 |     8 |    2170.64 | best
   12288 |       8 |     1 |    3303.42 | best
   16384 |      16 |     8 |    4398.90 | best
   24576 |      64 |     4 |    6566.79 | best
   32768 |       8 |     8 |    8712.86 | best
   49152 |       8 |     8 |   13006.62 | best
   65536 |       8 |     8 |   17219.88 | best
   98304 |      32 |     8 |   26542.40 | best
  131072 |      16 |     8 |   34782.30 | best
  196608 |      16 |     8 |   52399.23 | best
  262144 |      64 |     4 |   69882.65 | best

-----------------------------------
Validation  headdim=64  dstate=128  ngroups=8  dtype=torch.bfloat16  ssm_cache_dtype=torch.float32  atol=0.01
------------------------------------
EffBatch |    MaxAbsErr |   Status
------------------------------------
       8 |     0.000000 |     PASS
      16 |     0.000000 |     PASS
      32 |     0.031250 |     PASS
      64 |     0.125000 |     PASS
     128 |     0.000031 |     PASS
     256 |     0.031250 |     PASS
     512 |     0.000244 |     PASS
    1024 |     0.125000 |     PASS
    2048 |     0.062500 |     PASS
    4096 |     0.031250 |     PASS
    8192 |     0.062500 |     PASS
   12288 |     0.250000 |     PASS
   16384 |     0.125000 |     PASS
   24576 |     0.250000 |     PASS
   32768 |     0.125000 |     PASS
   49152 |     0.250000 |     PASS
   65536 |     0.500000 |     PASS
   98304 |     0.500000 |     PASS
  131072 |     0.500000 |     PASS
  196608 |     0.250000 |     PASS
Killed

dmesg
[Sun Jun  7 18:03:26 2026] Out of memory: Killed process 16563 (python3) total-vm:143902072kB, anon-rss:64720kB, file-rss:21956kB, shmem-rss:26752kB, UID:1000 pgtables:5176kB oom_score_adj:200
[Sun Jun  7 18:03:28 2026] NVRM: GPU0 nvCheckOkFailedNoLog: Check failed: Out of memory [NV_ERR_NO_MEMORY] (0x00000051) returned from _memdescAllocInternal(pMemDesc) @ mem_desc.c:1336
[Sun Jun  7 18:03:28 2026] NVRM: GPU0 nvCheckOkFailedNoLog: Check failed: Out of memory [NV_ERR_NO_MEMORY] (0x00000051) returned from rmStatus @ system_mem.c:342
[Sun Jun  7 18:03:28 2026] oom_reaper: reaped process 16563 (python3), now anon-rss:176kB, file-rss:300kB, shmem-rss:0kB

Add Thor selective state update configs

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whitesscott requested review from tdoublep and tomeras91 as code owners June 5, 2026 00:13

claude Bot reviewed Jun 5, 2026

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Merge branch 'main' into thor-mamba-selective-state-update-configs

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tomeras91 reviewed Jun 7, 2026

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whitesscott and others added 4 commits June 7, 2026 18:35

Merge branch 'vllm-project:main' into thor-mamba-selective-state-upda…

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…te-configs

Merge branch 'vllm-project:main' into thor-mamba-selective-state-upda…

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…te-configs

Merge branch 'main' into thor-mamba-selective-state-update-configs

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Add Thor selective state update configs#44590

Add Thor selective state update configs#44590
whitesscott wants to merge 6 commits into
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whitesscott:thor-mamba-selective-state-update-configs

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whitesscott commented Jun 5, 2026 • edited by github-actions Bot Loading Uh oh! There was an error while loading. Please reload this page.

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Summary

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whitesscott commented Jun 8, 2026

Add Thor selective state update config for float32 cache.

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whitesscott commented Jun 5, 2026 •

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