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[https://nvbugs/6652876][fix] Fix SM120 FP8 autotuner scale profiles #18124

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[https://nvbugs/6652876][fix] Fix SM120 FP8 autotuner scale profiles #18124

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27f35f9
[https://nvbugs/6596064][fix] Fix SM120 FP8 autotuner scale profiles
yuxianq Aug 21, 2026
96942f4
[https://nvbugs/6596064][test] Unwaive Laguna XS FP8 and NVFP4 tests
yuxianq Aug 24, 2026
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9 changes: 8 additions & 1 deletion tensorrt_llm/_torch/custom_ops/torch_custom_ops.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1978,6 +1978,10 @@ def _fp8_block_scaling_gemm_sm100_constraint(inputs: List[List[int]]) -> int:
return inputs[0][0]


def _fp8_block_scaling_gemm_sm120_constraint(inputs: List[List[int]]) -> int:
return fp4_utils.pad_up(inputs[0][0], 4)


def _fp8_quantize_1x128_sm90_constraint(inputs: List[List[int]]) -> int:
# The implementation aligns with the fp8_quantize_1x128 custom op.
pad_m = fp4_utils.pad_up(inputs[0][0], 4)
Expand All @@ -1988,7 +1992,10 @@ def _fp8_quantize_1x128_sm90_constraint(inputs: List[List[int]]) -> int:
@lru_cache(maxsize=None)
def _get_fp8_block_scaling_gemm_constraint_spec(
sm_version: int) -> Tuple[ConstraintSpec, ...]:
if sm_version >= 100:
if sm_version == 120:
return (ConstraintSpec(2, 0,
_fp8_block_scaling_gemm_sm120_constraint), )
elif sm_version >= 100:
return (ConstraintSpec(2, 1,
_fp8_block_scaling_gemm_sm100_constraint), )
else:
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2 changes: 0 additions & 2 deletions tests/integration/test_lists/waives.txt
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Expand Up @@ -59,7 +59,6 @@ accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[v2_kv_cache-dp4-cutl
accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[v2_kv_cache-ep4-cutlass-auto] SKIP (https://nvbugs/5596343)
accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_4gpus[v2_kv_cache-tp4-cutlass-auto] SKIP (https://nvbugs/5596343)
accuracy/test_llm_api_pytorch.py::TestGPTOSS::test_w4_chunked_prefill[cutlass-auto] SKIP (https://nvbugs/5596343)
accuracy/test_llm_api_pytorch.py::TestLagunaXS::test_nvfp4 SKIP (https://nvbugs/6647310)
accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_bfloat16_4gpus[pp4-attn_backend=TRTLLM-torch_compile=False] SKIP (https://nvbugs/6490043)
accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_bfloat16_4gpus[tp2pp2-attn_backend=FLASHINFER-torch_compile=True] SKIP (https://nvbugs/6422337)
accuracy/test_llm_api_pytorch.py::TestLlama3_1_8BInstruct::test_bfloat16_4gpus[tp4-attn_backend=TRTLLM-torch_compile=False] SKIP (https://nvbugs/5616182)
Expand Down Expand Up @@ -267,7 +266,6 @@ full:L40S/disaggregated/test_disaggregated.py::test_disaggregated_deepseek_v3_li
full:L40S/disaggregated/test_disaggregated.py::test_disaggregated_logprobs_serving[llama-3.1-8b-instruct] SKIP (https://nvbugs/6275959)
full:RTXPro6000D/accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=0-ep4-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-low_precision_combine=False-torch_compile=True] SKIP (https://nvbugs/5961814)
full:RTXPro6000D/accuracy/test_llm_api_pytorch.py::TestDeepSeekV3Lite::test_nvfp4_4gpus[moe_backend=CUTLASS-mtp_nextn=2-ep4-fp8kv=True-attention_dp=True-cuda_graph=True-overlap_scheduler=True-low_precision_combine=False-torch_compile=False] SKIP (https://nvbugs/5961814)
full:RTXPro6000D/accuracy/test_llm_api_pytorch.py::TestLagunaXS::test_fp8 SKIP (https://nvbugs/6652876)
full:RTXPro6000D/accuracy/test_llm_api_pytorch.py::TestQwen3_30B_A3B::test_nvfp4[dep4_latency_moe_cutlass-torch_compile=True] SKIP (https://nvbugs/5929339)
full:RTX_6000D/accuracy/test_llm_api_pytorch.py::TestQwen3_5_35B_A3B::test_bf16[tp1-CUTLASS] SKIP (https://nvbugs/6273850)
full:RTX_6000D/accuracy/test_llm_api_pytorch.py::TestQwen3_5_35B_A3B::test_bf16_mtp SKIP (https://nvbugs/6275856)
Expand Down
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