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[Bugfix] Enable Triton MoE for FP8 per-tensor dynamic (#33300)

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Signed-off-by: mgoin <mgoin64@gmail.com>
This commit is contained in:
Michael Goin
2026-01-29 15:15:17 -05:00
committed by GitHub
parent 2284461d02
commit bfb9bdaf3f
2 changed files with 3 additions and 0 deletions
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1
vllm/model_executor/layers/fused_moe/fused_batched_moe.py
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@@ -933,6 +933,7 @@ class BatchedTritonExperts(mk.FusedMoEPermuteExpertsUnpermute):
SUPPORTED_W_A_FP8 = [
(kFp8Static128BlockSym, kFp8Dynamic128Sym),
(kFp8StaticChannelSym, kFp8DynamicTokenSym),
(kFp8StaticTensorSym, kFp8DynamicTokenSym),
(kFp8StaticTensorSym, kFp8StaticTensorSym),
(kFp8StaticTensorSym, kFp8DynamicTensorSym),
]

2
vllm/model_executor/layers/fused_moe/fused_moe.py
View File

@@ -45,6 +45,7 @@ from vllm.model_executor.layers.quantization.utils.ocp_mx_utils import OCP_MX_Sc
from vllm.model_executor.layers.quantization.utils.quant_utils import (
QuantKey,
kFp8Dynamic128Sym,
kFp8DynamicTensorSym,
kFp8DynamicTokenSym,
kFp8Static128BlockSym,
kFp8StaticChannelSym,
@@ -1932,6 +1933,7 @@ class TritonExperts(mk.FusedMoEPermuteExpertsUnpermute):
(kFp8StaticChannelSym, kFp8DynamicTokenSym),
(kFp8StaticTensorSym, kFp8DynamicTokenSym),
(kFp8StaticTensorSym, kFp8StaticTensorSym),
(kFp8StaticTensorSym, kFp8DynamicTensorSym),
]
return (weight_key, activation_key) in SUPPORTED_W_A