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@achartier achartier commented Oct 13, 2025

Summary by CodeRabbit

  • New Features

    • Expanded GPU architecture support to include SM100, enabling FP8 rowwise GEMM on additional newer devices.
    • Broadened runtime dispatch and heuristics to activate FP8 configurations on SM versions 100–119.
  • Tests

    • Updated test conditions to run FP8 rowwise linear tests on Blackwell-class GPUs (no longer skipped).

Description

Add FP8 rowwise GEMMs for B200

Test Coverage

test_fp8_rowwise_linear

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Signed-off-by: Aurelien Chartier <[email protected]>
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📝 Walkthrough

Walkthrough

The change set broadens FP8 support and dispatch across SM versions by lowering thresholds from 120 to 100, adjusts compile-time/run-time gating to include SM 100-series, updates build CUDA architectures to add 100f, and removes a test skip decorator. No public APIs are altered.

Changes

Cohort / File(s) Summary
Build: CUDA architectures
cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt
Added 100f to CUDA architectures for fb_gemm_src (from "89 90 120f" to "89 90 100f 120f").
Heuristics: FP8 tile selection thresholds
cpp/tensorrt_llm/kernels/cutlass_kernels/cutlass_heuristic.cpp
Changed FP8 GROUPED_GEMM and non-GROUPED_GEMM thresholds from sm >= 120 to sm >= 100 in get_candidate_tiles.
Kernels: SM gating for FP8 rowwise GEMM (SM89 template)
cpp/tensorrt_llm/kernels/cutlass_kernels/fp8_rowwise_gemm/fp8_rowwise_gemm_kernel_template_sm89.h
Expanded compile-time condition to also accept is_major_v<10>. Updated trap message to: "This kernel shall only run on SM89 or Blackwell devices."
Dispatch: FP8 rowwise GEMM thresholds
cpp/tensorrt_llm/kernels/cutlass_kernels/fp8_rowwise_gemm/fp8_rowwise_gemm_template.h
Lowered dispatch/config guards from mSm >= 120 to mSm >= 100 in CutlassFp8RowwiseGemmRunner::{dispatchToArch,getConfigs}.
Tests: gating update
tests/unittest/_torch/thop/parallel/test_fp8_rowwise_linear.py
Removed skip_blackwell import and decorator; other decorators unchanged.

Sequence Diagram(s)

sequenceDiagram
  autonumber
  actor Test as Test/Caller
  participant Runner as Fp8RowwiseGemmRunner
  participant Heur as Cutlass Heuristic
  participant Kernel as FP8 Rowwise GEMM Kernel

  Test->>Runner: run(m, n, k, sm, grouped?)
  Runner->>Heur: get_candidate_tiles(sm, grouped, dtype=FP8)
  alt SM >= 100
    Heur-->>Runner: tiles for 100–120+
    Runner->>Kernel: dispatch to SM89/SM10/SM12 path
    Kernel-->>Runner: execute
  else SM < 100
    Heur-->>Runner: tiles for pre-100 (no FP8 path)
    Runner-->>Test: fallback/unsupported path
  end
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Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~25 minutes

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✅ Passed checks (2 passed)
Check name Status Explanation
Title Check ✅ Passed The title accurately reflects the primary change by indicating the addition of FP8 rowwise GEMMs for the B200 architecture and follows the repository’s ticket and type format, making it concise and specific.
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Actionable comments posted: 0

🧹 Nitpick comments (1)
cpp/tensorrt_llm/kernels/cutlass_kernels/fp8_rowwise_gemm/fp8_rowwise_gemm_kernel_template_sm89.h (1)

109-118: LGTM! Compile-time check correctly expanded for B200 support.

The conditional now properly includes SM10x (SM100-109) devices in addition to SM89 and SM12x, and the error message accurately reflects "Blackwell devices." The logic aligns with the runtime dispatch changes in fp8_rowwise_gemm_template.h.

Optional: Consider renaming the struct.

The struct name Sm89_12xOnly is now slightly misleading since it also supports SM10x devices. A name like Sm89_Blackwell would be more accurate, though this is a low-priority refactor.

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📒 Files selected for processing (5)
  • cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt (1 hunks)
  • cpp/tensorrt_llm/kernels/cutlass_kernels/cutlass_heuristic.cpp (2 hunks)
  • cpp/tensorrt_llm/kernels/cutlass_kernels/fp8_rowwise_gemm/fp8_rowwise_gemm_kernel_template_sm89.h (1 hunks)
  • cpp/tensorrt_llm/kernels/cutlass_kernels/fp8_rowwise_gemm/fp8_rowwise_gemm_template.h (2 hunks)
  • tests/unittest/_torch/thop/parallel/test_fp8_rowwise_linear.py (1 hunks)
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cpp/tests/unit_tests/kernels/mixtureOfExpertsTest.cu (4)
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🔇 Additional comments (4)
cpp/tensorrt_llm/kernels/cutlass_kernels/CMakeLists.txt (1)

203-203: LGTM! B200 architecture support added correctly.

The addition of 100f to the CUDA architectures enables FP8 rowwise GEMM compilation for SM100 (B200) devices with forward compatibility.

tests/unittest/_torch/thop/parallel/test_fp8_rowwise_linear.py (1)

3-3: LGTM! Test now enabled for Blackwell devices.

Removing the skip_blackwell import allows this test to run on B200 and other Blackwell devices, providing appropriate test coverage for the new FP8 rowwise GEMM support.

cpp/tensorrt_llm/kernels/cutlass_kernels/fp8_rowwise_gemm/fp8_rowwise_gemm_template.h (1)

511-511: Verify SM100+ devices should use SM89 implementation.

The dispatch logic now routes SM100+ devices (including B200 and SM120+) to the SM89 kernel implementation, while SM90 continues using TMA-based kernels. This appears intentional, but please confirm:

  1. SM100 (B200) devices lack TMA-based FP8 rowwise kernels and should use SM89 implementation?
  2. SM120+ devices should also use SM89 implementation rather than dedicated SM120 kernels?

The changes are consistent across both dispatchToArch (Line 511) and getConfigs (Line 578) methods.

Also applies to: 578-578

cpp/tensorrt_llm/kernels/cutlass_kernels/cutlass_heuristic.cpp (1)

178-178: LGTM! Tile configuration heuristics updated for B200 support.

The candidate tile selection for FP8 GEMMs now correctly includes SM100+ devices alongside SM89, ensuring they receive appropriate tile configurations. This change aligns with the dispatch logic updates in fp8_rowwise_gemm_template.h.

Also applies to: 196-196

@achartier achartier marked this pull request as draft October 14, 2025 17:41
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