[NVIDIA] Fix use case of SGLANG_ENABLE_FLASHINFER_GEMM (#13274)

Co-authored-by: Baizhou Zhang <sobereddiezhang@gmail.com>

python/sglang/srt/environ.py

@@ -206,7 +206,7 @@ class Envs:
 
     # Flashinfer
     SGLANG_IS_FLASHINFER_AVAILABLE = EnvBool(True)
-    SGLANG_ENABLE_FLASHINFER_GEMM = EnvBool(False)
+    SGLANG_ENABLE_FLASHINFER_FP8_GEMM = EnvBool(False)
     # Default to the pick from flashinfer
     SGLANG_FLASHINFER_FP4_GEMM_BACKEND = EnvStr("")
     SGLANG_FLASHINFER_WORKSPACE_SIZE = EnvInt(384 * 1024 * 1024)
@@ -307,6 +307,9 @@ def _print_deprecated_env(new_name: str, old_name: str):
 
 def _convert_SGL_to_SGLANG():
     _print_deprecated_env("SGLANG_LOG_GC", "SGLANG_GC_LOG")
+    _print_deprecated_env(
+        "SGLANG_ENABLE_FLASHINFER_FP8_GEMM", "SGLANG_ENABLE_FLASHINFER_GEMM"
+    )
 
     for key, value in os.environ.items():
         if key.startswith("SGL_"):

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

@@ -2,6 +2,7 @@ from typing import Callable, List, Optional, Tuple
 
 import torch
 
+from sglang.srt.environ import envs
 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
@@ -127,17 +128,17 @@ def cutlass_block_fp8_supported() -> bool:
 
 
 CUTLASS_BLOCK_FP8_SUPPORTED = cutlass_block_fp8_supported()
-ENABLE_FLASHINFER_GEMM = (
-    get_bool_env_var("SGLANG_ENABLE_FLASHINFER_GEMM")
+ENABLE_FLASHINFER_FP8_GEMM = (
+    envs.SGLANG_ENABLE_FLASHINFER_FP8_GEMM.get()
     and is_blackwell_supported()
     and is_flashinfer_available()
 )
-if ENABLE_FLASHINFER_GEMM:
+if ENABLE_FLASHINFER_FP8_GEMM:
     from flashinfer.gemm import gemm_fp8_nt_groupwise
 
 
 def dispatch_w8a8_block_fp8_linear() -> Callable:
-    if ENABLE_FLASHINFER_GEMM:
+    if ENABLE_FLASHINFER_FP8_GEMM:
         return flashinfer_gemm_w8a8_block_fp8_linear
     elif CUTLASS_BLOCK_FP8_SUPPORTED:
         return cutlass_w8a8_block_fp8_linear_with_fallback

python/sglang/srt/models/deepseek_v2.py

@@ -89,6 +89,7 @@ from sglang.srt.layers.quantization.fp8_kernel import (
     per_token_group_quant_mla_deep_gemm_masked_fp8,
 )
 from sglang.srt.layers.quantization.fp8_utils import (
+    ENABLE_FLASHINFER_FP8_GEMM,
     block_quant_dequant,
     block_quant_to_tensor_quant,
     channel_quant_to_tensor_quant,
@@ -3420,7 +3421,8 @@ class DeepseekV2ForCausalLM(nn.Module):
                 self_attn.use_deep_gemm_bmm = True
 
         if (
-            deep_gemm_wrapper.ENABLE_JIT_DEEPGEMM
+            not ENABLE_FLASHINFER_FP8_GEMM
+            and deep_gemm_wrapper.ENABLE_JIT_DEEPGEMM
             and deep_gemm_wrapper.DEEPGEMM_SCALE_UE8M0
             and hasattr(self.quant_config, "weight_block_size")
             and self.quant_config.weight_block_size is not None