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1 change: 0 additions & 1 deletion python/sglang/srt/layers/moe/fused_moe_triton/layer.py
Original file line number Diff line number Diff line change
Expand Up @@ -1226,7 +1226,6 @@ def forward(self, hidden_states: torch.Tensor, topk_output: TopKOutput):
local_expert_offset=self.moe_ep_rank * self.num_local_experts,
local_num_experts=self.num_local_experts,
routed_scaling_factor=self.moe_runner_config.routed_scaling_factor,
tile_tokens_dim=None,
routing_method_type=routing_method_type,
do_finalize=True,
tune_max_num_tokens=next_power_of_2(hs_fp4.shape[0]),
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1 change: 0 additions & 1 deletion python/sglang/srt/layers/quantization/fp8.py
Original file line number Diff line number Diff line change
Expand Up @@ -1382,7 +1382,6 @@ def apply_with_router_logits(
if routed_scaling_factor is not None
else 1.0
),
tile_tokens_dim=None,
routing_method_type=routing_method_type,
use_shuffled_weight=False,
tune_max_num_tokens=next_power_of_2(a_q.shape[0]),
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1 change: 0 additions & 1 deletion python/sglang/srt/layers/quantization/modelopt_quant.py
Original file line number Diff line number Diff line change
Expand Up @@ -785,7 +785,6 @@ def apply(
else 1.0
),
use_routing_scales_on_input=use_routing_scales_on_input,
tile_tokens_dim=None,
routing_method_type=routing_method_type,
tune_max_num_tokens=next_power_of_2(x.shape[0]),
)
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1 change: 0 additions & 1 deletion python/sglang/srt/layers/quantization/mxfp4.py
Original file line number Diff line number Diff line change
Expand Up @@ -682,7 +682,6 @@ def apply(
layer.moe_ep_rank * layer.num_local_experts, # local_expert_offset
layer.num_local_experts, # local num experts
None,
None, # tile_tokens_dim
1, # routing_method_type, renormalize
True, # do finalize
tune_max_num_tokens=next_power_of_2(x_quant.shape[0]),
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