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[Bugfix] Fix fused moe #1512

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Merged
kyuyeunk merged 1 commit into from
Jan 22, 2026
Merged

[Bugfix] Fix fused moe #1512

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14 changes: 12 additions & 2 deletions tpu_inference/layers/vllm/quantization/fp8.py
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Original file line number Diff line number Diff line change
Expand Up @@ -22,7 +22,8 @@
from torchax.interop import jax_view, torch_view
from torchax.ops.mappings import t2j
from vllm.attention.layer import Attention
from vllm.model_executor.layers.fused_moe import FusedMoE, FusedMoERouter
from vllm.model_executor.layers.fused_moe import (FusedMoE, FusedMoEMethodBase,
FusedMoERouter)
from vllm.model_executor.layers.linear import LinearBase, LinearMethodBase
from vllm.model_executor.layers.quantization import \
register_quantization_config
Expand Down Expand Up @@ -242,7 +243,12 @@ def __init__(self,
layer: torch.nn.Module,
mesh: Mesh,
ep_axis_name: str = "model"):
super().__init__(quant_config, layer)
FusedMoEMethodBase.__init__(self, layer.moe_config)
self.quant_config = quant_config
self.weight_block_size = self.quant_config.weight_block_size
self.block_quant: bool = self.weight_block_size is not None
self.weight_scale_name = ("weight_scale_inv"
if self.block_quant else "weight_scale")

self.mesh = mesh
self.moe_backend = select_moe_backend(self.moe)
Expand All @@ -251,6 +257,10 @@ def __init__(self,
if self.moe_backend == FusedMoEBackend.FUSED_MOE:
self.extra_backend_kwargs = dict(ep_axis_name=ep_axis_name, )

def get_fused_moe_quant_config(self, layer: torch.nn.Module):
# Override quant config fused moe
pass

def process_weights_after_loading(self, layer: torch.nn.Module) -> None:
assert isinstance(layer, FusedMoE)

Expand Down
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