[Refactor] move `deep_gemm_wrapper` out of `quantization` (#11784)

benchmark/kernels/quantization/bench_fp4_quant.py

@@ -6,8 +6,8 @@ import triton
 from sgl_kernel import scaled_fp4_grouped_quant, silu_and_mul_scaled_fp4_grouped_quant
 from sgl_kernel.elementwise import silu_and_mul
 
+from sglang.srt.layers import deep_gemm_wrapper
 from sglang.srt.layers.moe.ep_moe.kernels import silu_and_mul_masked_post_quant_fwd
-from sglang.srt.layers.quantization import deep_gemm_wrapper
 
 
 def _test_accuracy_once(E, M, K, input_dtype, device):

python/sglang/bench_one_batch.py

@@ -61,7 +61,6 @@ import torch.distributed as dist
 from sglang.srt.configs.model_config import ModelConfig
 from sglang.srt.distributed.parallel_state import destroy_distributed_environment
 from sglang.srt.entrypoints.engine import _set_envs_and_config
-from sglang.srt.environ import envs
 from sglang.srt.layers.moe import initialize_moe_config
 from sglang.srt.managers.schedule_batch import Req, ScheduleBatch
 from sglang.srt.managers.scheduler import Scheduler

python/sglang/srt/layers/attention/nsa/nsa_indexer.py

@@ -17,10 +17,10 @@ if is_cuda():
     except ImportError as e:
         deep_gemm = e
 
+from sglang.srt.layers import deep_gemm_wrapper
 from sglang.srt.layers.attention.nsa.utils import NSA_DUAL_STREAM
 from sglang.srt.layers.dp_attention import get_attention_tp_group
 from sglang.srt.layers.linear import ReplicatedLinear
-from sglang.srt.layers.quantization import deep_gemm_wrapper
 from sglang.srt.layers.quantization.base_config import QuantizationConfig
 from sglang.srt.layers.rotary_embedding import get_rope_wrapper
 from sglang.srt.model_executor.cuda_graph_runner import get_is_capture_mode

python/sglang/srt/layers/quantization/deep_gemm_wrapper/compile_utils.py → python/sglang/srt/layers/deep_gemm_wrapper/compile_utils.py

@@ -8,9 +8,7 @@ import torch
 from tqdm import tqdm
 
 from sglang.srt.environ import envs
-from sglang.srt.layers.quantization.deep_gemm_wrapper.configurer import (
-    ENABLE_JIT_DEEPGEMM,
-)
+from sglang.srt.layers.deep_gemm_wrapper.configurer import ENABLE_JIT_DEEPGEMM
 from sglang.srt.server_args import ServerArgs
 from sglang.srt.utils import ceil_div, get_bool_env_var
 

python/sglang/srt/layers/quantization/deep_gemm_wrapper/entrypoint.py → python/sglang/srt/layers/deep_gemm_wrapper/entrypoint.py

@@ -4,8 +4,8 @@ from typing import Tuple
 
 import torch
 
-from sglang.srt.layers.quantization.deep_gemm_wrapper import compile_utils
-from sglang.srt.layers.quantization.deep_gemm_wrapper.configurer import (  # noqa: F401
+from sglang.srt.layers.deep_gemm_wrapper import compile_utils
+from sglang.srt.layers.deep_gemm_wrapper.configurer import (  # noqa: F401
     DEEPGEMM_BLACKWELL,
     DEEPGEMM_SCALE_UE8M0,
     ENABLE_JIT_DEEPGEMM,

python/sglang/srt/layers/moe/ep_moe/layer.py

@@ -6,6 +6,7 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
 import torch
 
 from sglang.srt import single_batch_overlap
+from sglang.srt.layers import deep_gemm_wrapper
 from sglang.srt.layers.moe import (
     get_deepep_mode,
     get_moe_a2a_backend,
@@ -19,7 +20,6 @@ from sglang.srt.layers.moe.ep_moe.kernels import (
     tma_align_input_scale,
 )
 from sglang.srt.layers.moe.fused_moe_triton.layer import FlashInferFusedMoE, FusedMoE
-from sglang.srt.layers.quantization import deep_gemm_wrapper
 from sglang.srt.layers.quantization.base_config import QuantizationConfig
 from sglang.srt.layers.quantization.fp8 import Fp8Config
 from sglang.srt.layers.quantization.fp8_kernel import (

python/sglang/srt/layers/moe/moe_runner/deep_gemm.py

@@ -105,10 +105,10 @@ class DeepGemmRunnerCore(MoeRunnerCore):
         running_state: dict,
     ) -> torch.Tensor:
 
+        from sglang.srt.layers import deep_gemm_wrapper
         from sglang.srt.layers.moe.ep_moe.kernels import (
             silu_and_mul_masked_post_quant_fwd,
         )
-        from sglang.srt.layers.quantization import deep_gemm_wrapper
 
         hidden_states = runner_input.hidden_states
         hidden_states_scale = runner_input.hidden_states_scale

python/sglang/srt/layers/moe/token_dispatcher/deepep.py

@@ -6,6 +6,7 @@ from dataclasses import dataclass
 from typing import TYPE_CHECKING, List, NamedTuple, Optional, Tuple, Union
 
 from sglang.srt.eplb.expert_distribution import get_global_expert_distribution_recorder
+from sglang.srt.layers import deep_gemm_wrapper
 from sglang.srt.layers.moe.token_dispatcher.base import (
     BaseDispatcher,
     BaseDispatcherConfig,
@@ -20,7 +21,6 @@ from sglang.srt.layers.moe.utils import (
     get_moe_runner_backend,
     is_tbo_enabled,
 )
-from sglang.srt.layers.quantization import deep_gemm_wrapper
 from sglang.srt.utils import (
     get_bool_env_var,
     get_int_env_var,

python/sglang/srt/layers/quantization/fp8.py

@@ -1007,11 +1007,11 @@ class Fp8MoEMethod(FusedMoEMethodBase):
         self, layer: torch.nn.Module, moe_runner_config: MoeRunnerConfig
     ):
 
+        from sglang.srt.layers import deep_gemm_wrapper
         from sglang.srt.layers.moe.utils import (
             get_moe_a2a_backend,
             get_moe_runner_backend,
         )
-        from sglang.srt.layers.quantization import deep_gemm_wrapper
 
         self.moe_runner_config = moe_runner_config
         moe_runner_backend = get_moe_runner_backend()

python/sglang/srt/layers/quantization/fp8_kernel.py

@@ -23,7 +23,7 @@ import torch
 import triton
 import triton.language as tl
 
-from sglang.srt.layers.quantization import deep_gemm_wrapper
+from sglang.srt.layers import deep_gemm_wrapper
 from sglang.srt.utils import (
     align,
     direct_register_custom_op,

python/sglang/srt/layers/quantization/fp8_utils.py

@@ -2,7 +2,7 @@ from typing import Callable, List, Optional, Tuple
 
 import torch
 
-from sglang.srt.layers.quantization import deep_gemm_wrapper
+from sglang.srt.layers import deep_gemm_wrapper
 from sglang.srt.layers.quantization.fp8_kernel import sglang_per_token_group_quant_fp8
 from sglang.srt.layers.quantization.mxfp4_tensor import MXFP4QuantizeUtil
 from sglang.srt.utils import is_sm100_supported, offloader

python/sglang/srt/model_executor/model_runner.py

@@ -64,6 +64,7 @@ from sglang.srt.eplb.expert_location import (
     set_global_expert_location_metadata,
 )
 from sglang.srt.eplb.expert_location_updater import ExpertLocationUpdater
+from sglang.srt.layers import deep_gemm_wrapper
 from sglang.srt.layers.attention.attention_registry import (
     ATTENTION_BACKENDS,
     attn_backend_wrapper,
@@ -75,10 +76,7 @@ from sglang.srt.layers.dp_attention import (
     initialize_dp_attention,
 )
 from sglang.srt.layers.logits_processor import LogitsProcessorOutput
-from sglang.srt.layers.quantization import (
-    deep_gemm_wrapper,
-    monkey_patch_isinstance_for_vllm_base_layer,
-)
+from sglang.srt.layers.quantization import monkey_patch_isinstance_for_vllm_base_layer
 from sglang.srt.layers.sampler import Sampler
 from sglang.srt.layers.torchao_utils import apply_torchao_config_to_model
 from sglang.srt.lora.lora_manager import LoRAManager

python/sglang/srt/models/deepseek_v2.py

@@ -28,7 +28,6 @@ import torch.nn.functional as F
 from torch import nn
 from transformers import PretrainedConfig
 
-from sglang.srt import single_batch_overlap
 from sglang.srt.configs.model_config import (
     get_nsa_index_head_dim,
     get_nsa_index_n_heads,
@@ -48,6 +47,7 @@ from sglang.srt.distributed.device_communicators.pynccl_allocator import (
 from sglang.srt.eplb.expert_distribution import get_global_expert_distribution_recorder
 from sglang.srt.eplb.expert_location import ModelConfigForExpertLocation
 from sglang.srt.eplb.expert_location_dispatch import ExpertLocationDispatchInfo
+from sglang.srt.layers import deep_gemm_wrapper
 from sglang.srt.layers.activation import SiluAndMul
 from sglang.srt.layers.amx_utils import PackWeightMethod
 from sglang.srt.layers.attention.npu_ops.mla_preprocess import (
@@ -82,7 +82,6 @@ from sglang.srt.layers.moe import (
 from sglang.srt.layers.moe.ep_moe.layer import DeepEPMoE, get_moe_impl_class
 from sglang.srt.layers.moe.fused_moe_triton.layer import FusedMoE
 from sglang.srt.layers.moe.topk import TopK, TopKOutputFormat
-from sglang.srt.layers.quantization import deep_gemm_wrapper
 from sglang.srt.layers.quantization.base_config import QuantizationConfig
 from sglang.srt.layers.quantization.fp8_kernel import (
     is_fp8_fnuz,

python/sglang/srt/models/longcat_flash.py

@@ -44,6 +44,7 @@ from sglang.srt.distributed import (
 )
 from sglang.srt.eplb.expert_distribution import get_global_expert_distribution_recorder
 from sglang.srt.eplb.expert_location import ModelConfigForExpertLocation
+from sglang.srt.layers import deep_gemm_wrapper
 from sglang.srt.layers.activation import SiluAndMul
 from sglang.srt.layers.communicator import LayerCommunicator, LayerScatterModes
 from sglang.srt.layers.dp_attention import (
@@ -62,7 +63,6 @@ from sglang.srt.layers.moe.ep_moe.kernels import zero_experts_compute_triton
 from sglang.srt.layers.moe.ep_moe.layer import DeepEPMoE, get_moe_impl_class
 from sglang.srt.layers.moe.fused_moe_triton.layer import FusedMoE
 from sglang.srt.layers.moe.topk import StandardTopKOutput, TopK
-from sglang.srt.layers.quantization import deep_gemm_wrapper
 from sglang.srt.layers.quantization.base_config import QuantizationConfig
 from sglang.srt.layers.quantization.fp8_kernel import is_fp8_fnuz
 from sglang.srt.layers.quantization.fp8_utils import (

python/sglang/srt/models/longcat_flash_nextn.py

@@ -39,6 +39,7 @@ from torch import nn
 
 from sglang.srt.configs import LongcatFlashConfig
 from sglang.srt.eplb.expert_distribution import get_global_expert_distribution_recorder
+from sglang.srt.layers import deep_gemm_wrapper
 from sglang.srt.layers.communicator import LayerCommunicator, LayerScatterModes
 from sglang.srt.layers.dp_attention import (
     get_attention_tp_rank,
@@ -48,7 +49,6 @@ from sglang.srt.layers.dp_attention import (
 from sglang.srt.layers.layernorm import RMSNorm
 from sglang.srt.layers.linear import ReplicatedLinear
 from sglang.srt.layers.logits_processor import LogitsProcessor
-from sglang.srt.layers.quantization import deep_gemm_wrapper
 from sglang.srt.layers.quantization.base_config import QuantizationConfig
 from sglang.srt.layers.quantization.fp8_kernel import is_fp8_fnuz
 from sglang.srt.layers.quantization.fp8_utils import (

python/sglang/srt/single_batch_overlap.py

@@ -3,9 +3,9 @@ from typing import TYPE_CHECKING, Any, Callable, Optional
 
 import torch
 
+from sglang.srt.layers import deep_gemm_wrapper
 from sglang.srt.layers.moe import get_moe_runner_backend
 from sglang.srt.layers.moe.utils import is_sbo_enabled
-from sglang.srt.layers.quantization import deep_gemm_wrapper
 from sglang.srt.model_executor.forward_batch_info import ForwardBatch
 from sglang.srt.utils import get_int_env_var
 

python/sglang/srt/two_batch_overlap.py

@@ -8,6 +8,7 @@ from typing import TYPE_CHECKING, Dict, List, Optional, Sequence
 
 import torch
 
+from sglang.srt.layers import deep_gemm_wrapper
 from sglang.srt.layers.attention.base_attn_backend import AttentionBackend
 from sglang.srt.layers.communicator import (
     CommunicateContext,
@@ -24,7 +25,6 @@ from sglang.srt.layers.moe.token_dispatcher import (
     DeepEPDispatcher,
     MooncakeEPDispatcher,
 )
-from sglang.srt.layers.quantization import deep_gemm_wrapper
 from sglang.srt.managers.schedule_batch import ScheduleBatch
 from sglang.srt.model_executor.forward_batch_info import (
     ForwardBatch,