Fix garbled shared_expert_pipeline.py: imports/class were merged

cutedsl/shared_expert_pipeline.py

@@ -22,13 +22,6 @@ import torch
 
 from cutedsl.bridge import (
     quantize_activation_nvfp4,
-
-
-class _SharedExpertApply(torch.autograd.Function):
-    """Custom autograd function to make CuTeDSL runner opaque to torch.compile."""
-    @staticmethod
-    def forward(ctx, runner, hidden_states):
-        return runner._run_impl(hidden_states)
     quantize_to_nvfp4,
     make_b_k_major,
     assemble_scales_3d_side,
@@ -40,6 +33,13 @@ from cutedsl.kernel.moe.torch_scaled_grouped_mm import (
 )
 
 
+class _SharedExpertApply(torch.autograd.Function):
+    """Custom autograd function to make CuTeDSL runner opaque to torch.compile."""
+    @staticmethod
+    def forward(ctx, runner, hidden_states):
+        return runner._run_impl(hidden_states)
+
+
 class CuTeDSLSharedExpertRunner:
     """NVFP4 shared expert runner using CuTeDSL GEMM (num_groups=1).