Add support for new aiter version (AR accuracy, is_shuffled PR)

docker/rocm.Dockerfile

@@ -22,7 +22,6 @@ ENV BUILD_AITER_ALL="1"
 ENV BUILD_MOONCAKE="1"
 ENV AITER_COMMIT="v0.1.4"
 ENV NO_DEPS_FLAG=""
-ENV AITER_MXFP4_MOE_SF="0"
 
 # ===============================
 # Base image 942 and args
@@ -34,7 +33,6 @@ ENV BUILD_AITER_ALL="1"
 ENV BUILD_MOONCAKE="1"
 ENV AITER_COMMIT="v0.1.7.post1"
 ENV NO_DEPS_FLAG=""
-ENV AITER_MXFP4_MOE_SF="0"
 
 # ===============================
 # Base image 950 and args
@@ -44,9 +42,8 @@ ENV BUILD_TRITON="0"
 ENV BUILD_LLVM="0"
 ENV BUILD_AITER_ALL="1"
 ENV BUILD_MOONCAKE="1"
-ENV AITER_COMMIT="v0.1.7.post1"
+ENV AITER_COMMIT="v0.1.7.post2"
 ENV NO_DEPS_FLAG=""
-ENV AITER_MXFP4_MOE_SF="1"
 # ===============================
 # Chosen arch and args
 FROM ${GPU_ARCH}
@@ -107,8 +104,7 @@ RUN git clone ${AITER_REPO} \
  && git checkout ${AITER_COMMIT} \
  && git submodule update --init --recursive
 RUN cd aiter \
-     && if [ "$GPU_ARCH" = "gfx950" ]; then export AITER_MXFP4_MOE_SF=1; fi \
-     && echo "[AITER] GPU_ARCH=${GPU_ARCH} AITER_MXFP4_MOE_SF=${AITER_MXFP4_MOE_SF:-unset}" \
+     && echo "[AITER] GPU_ARCH=${GPU_ARCH}" \
      && if [ "$BUILD_AITER_ALL" = "1" ] && [ "$BUILD_LLVM" = "1" ]; then \
           sh -c "HIP_CLANG_PATH=/sgl-workspace/llvm-project/build/bin/ PREBUILD_KERNELS=1 GPU_ARCHS=$GPU_ARCH_LIST python setup.py develop"; \
         elif [ "$BUILD_AITER_ALL" = "1" ]; then \
@@ -299,7 +295,6 @@ RUN python3 -m pip install --no-cache-dir \
 
 # -----------------------
 # Performance environment variable.
-RUN echo "AITER_MXFP4_MOE_SF=${AITER_MXFP4_MOE_SF}" >> /etc/environment
 
 ENV HIP_FORCE_DEV_KERNARG=1
 ENV HSA_NO_SCRATCH_RECLAIM=1

python/sglang/srt/layers/quantization/mxfp4.py

@@ -39,9 +39,9 @@
 from sglang.srt.server_args import get_global_server_args
 from sglang.srt.utils import (
     direct_register_custom_op,
-    get_bool_env_var,
     is_cuda,
     is_flashinfer_available,
+    is_gfx95_supported,
     is_hip,
     is_sm100_supported,
     is_triton_kernels_available,
@@ -72,7 +72,7 @@
     )
 
 _is_hip = is_hip()
-_is_shuffle_moe_mxfp4 = get_bool_env_var("AITER_MXFP4_MOE_SF") and _is_hip
+_is_shuffle_moe_mxfp4 = is_gfx95_supported()
 
 if _is_hip:
     # import aiter
@@ -804,14 +804,17 @@ def process_weights_after_loading(self, layer: torch.nn.Module) -> None:
         w2, w2_mx_scales = self.mxfp4_quantize(layer.w2_weight.data)
 
         # Pre-shuffle weight
-        if _is_shuffle_moe_mxfp4:
+        is_shuffled = _is_shuffle_moe_mxfp4
+        if is_shuffled:
             w13 = shuffle_weight(w13.contiguous(), (16, 16))
             w2 = shuffle_weight(w2.contiguous(), (16, 16))
 
         layer.w13_weight = torch.nn.Parameter(w13, requires_grad=False)
+        layer.w13_weight.is_shuffled = is_shuffled
         layer.w13_weight_scale = torch.nn.Parameter(w13_mx_scales, requires_grad=False)
 
         layer.w2_weight = torch.nn.Parameter(w2, requires_grad=False)
+        layer.w2_weight.is_shuffled = is_shuffled
         layer.w2_weight_scale = torch.nn.Parameter(w2_mx_scales, requires_grad=False)
 
     def create_moe_runner(
@@ -842,6 +845,10 @@ def apply(
             w13_weight = layer.w13_weight
             w2_weight = layer.w2_weight
 
+        if hasattr(layer.w13_weight, "is_shuffled"):
+            w13_weight.is_shuffled = True
+            w2_weight.is_shuffled = True
+
         output = fused_moe(
             x,
             w13_weight,

python/sglang/srt/layers/quantization/quark/quark_moe.py

@@ -13,7 +13,12 @@
 from sglang.srt.layers.quantization.fp8_kernel import is_fp8_fnuz, scaled_fp8_quant
 from sglang.srt.layers.quantization.fp8_utils import normalize_e4m3fn_to_e4m3fnuz
 from sglang.srt.layers.quantization.utils import all_close_1d, per_tensor_dequantize
-from sglang.srt.utils import get_bool_env_var, is_hip, set_weight_attrs
+from sglang.srt.utils import (
+    get_bool_env_var,
+    is_gfx95_supported,
+    is_hip,
+    set_weight_attrs,
+)
 
 if TYPE_CHECKING:
     from sglang.srt.layers.moe.token_dispatcher import (
@@ -24,8 +29,7 @@
 
 logger = logging.getLogger(__name__)
 
-_is_hip = is_hip()
-_is_shuffle_moe_mxfp4 = get_bool_env_var("AITER_MXFP4_MOE_SF") and _is_hip
+_is_shuffle_moe_mxfp4 = is_gfx95_supported()
 
 __all__ = ["QuarkMoEMethod", "QuarkW4A4MXFp4MoEMethod"]
 
@@ -190,6 +194,8 @@ def process_weights_after_loading(self, layer: torch.nn.Module) -> None:
             layer.w2_weight.data = shuffle_weight(
                 layer.w2_weight.contiguous(), (16, 16)
             )
+            layer.w13_weight.is_shuffled = True
+            layer.w2_weight.is_shuffled = True
 
     def create_moe_runner(
         self, layer: torch.nn.Module, moe_runner_config: MoeRunnerConfig
@@ -220,6 +226,10 @@ def apply(
             w13_weight = layer.w13_weight
             w2_weight = layer.w2_weight
 
+        if hasattr(layer.w13_weight, "is_shuffled"):
+            w13_weight.is_shuffled = True
+            w2_weight.is_shuffled = True
+
         output = fused_moe(
             x,
             w13_weight,