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[qwen3] support qwen3 ep moe #5917

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Merged
merged 2 commits into from
Apr 30, 2025
Merged

[qwen3] support qwen3 ep moe #5917

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cd0bf9f
support qwen3 ep moe
sleepcoo Apr 30, 2025
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formating
sleepcoo Apr 30, 2025
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11 changes: 8 additions & 3 deletions python/sglang/srt/models/qwen2_moe.py
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Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -36,6 +36,7 @@
RowParallelLinear,
)
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.moe.ep_moe.layer import EPMoE
from sglang.srt.layers.moe.fused_moe_triton import FusedMoE
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
Expand All @@ -45,6 +46,7 @@
VocabParallelEmbedding,
)
from sglang.srt.managers.expert_distribution import ExpertDistributionRecorder
from sglang.srt.managers.schedule_batch import global_server_args_dict
from sglang.srt.model_executor.forward_batch_info import ForwardBatch
from sglang.srt.model_loader.weight_utils import default_weight_loader
from sglang.srt.utils import add_prefix, make_layers
Expand Down Expand Up @@ -108,12 +110,13 @@ def __init__(
f"the number of experts {config.num_experts}."
)

self.experts = FusedMoE(
MoEImpl = EPMoE if global_server_args_dict["enable_ep_moe"] else FusedMoE

self.experts = MoEImpl(
num_experts=config.num_experts,
top_k=config.num_experts_per_tok,
hidden_size=config.hidden_size,
intermediate_size=config.moe_intermediate_size,
reduce_results=False,
renormalize=config.norm_topk_prob,
quant_config=quant_config,
prefix=add_prefix("experts", prefix),
Expand Down Expand Up @@ -427,7 +430,9 @@ def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]):
("gate_up_proj", "up_proj", 1),
]

expert_params_mapping = FusedMoE.make_expert_params_mapping(
MoEImpl = EPMoE if global_server_args_dict["enable_ep_moe"] else FusedMoE

expert_params_mapping = MoEImpl.make_expert_params_mapping(
ckpt_gate_proj_name="gate_proj",
ckpt_down_proj_name="down_proj",
ckpt_up_proj_name="up_proj",
Expand Down
11 changes: 8 additions & 3 deletions python/sglang/srt/models/qwen3_moe.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -40,6 +40,7 @@
RowParallelLinear,
)
from sglang.srt.layers.logits_processor import LogitsProcessor
from sglang.srt.layers.moe.ep_moe.layer import EPMoE
from sglang.srt.layers.moe.fused_moe_triton import FusedMoE
from sglang.srt.layers.quantization.base_config import QuantizationConfig
from sglang.srt.layers.radix_attention import RadixAttention
Expand All @@ -48,6 +49,7 @@
ParallelLMHead,
VocabParallelEmbedding,
)
from sglang.srt.managers.schedule_batch import global_server_args_dict
from sglang.srt.model_executor.forward_batch_info import ForwardBatch
from sglang.srt.model_loader.weight_utils import default_weight_loader
from sglang.srt.models.qwen2_moe import Qwen2MoeMLP as Qwen3MoeMLP
Expand All @@ -73,12 +75,13 @@ def __init__(
f"the number of experts {config.num_experts}."
)

self.experts = FusedMoE(
MoEImpl = EPMoE if global_server_args_dict["enable_ep_moe"] else FusedMoE

self.experts = MoEImpl(
num_experts=config.num_experts,
top_k=config.num_experts_per_tok,
hidden_size=config.hidden_size,
intermediate_size=config.moe_intermediate_size,
reduce_results=False,
renormalize=config.norm_topk_prob,
quant_config=quant_config,
prefix=add_prefix("experts", prefix),
Expand Down Expand Up @@ -356,7 +359,9 @@ def load_weights(self, weights: Iterable[Tuple[str, torch.Tensor]]):
("gate_up_proj", "up_proj", 1),
]

expert_params_mapping = FusedMoE.make_expert_params_mapping(
MoEImpl = EPMoE if global_server_args_dict["enable_ep_moe"] else FusedMoE

expert_params_mapping = MoEImpl.make_expert_params_mapping(
ckpt_gate_proj_name="gate_proj",
ckpt_down_proj_name="down_proj",
ckpt_up_proj_name="up_proj",
Expand Down
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