[CI][Bugfix][AMD][ Ensure weights created when using emulating OCP MXFP4 (#36993)

Signed-off-by: Randall Smith <Randall.Smith@amd.com>

vllm/model_executor/layers/quantization/quark/schemes/quark_ocp_mx.py

@@ -267,20 +267,26 @@ class QuarkOCP_MX(QuarkScheme):
     def get_min_capability(cls) -> int:
         return 70
 
+    def process_dynamic_mxfp4_weights_after_loading(
+        self, layer: torch.nn.Module
+    ) -> None:
+        w_q, w_s = dynamic_mxfp4_quant(layer.weight)
+        layer.weight_scale = torch.nn.Parameter(w_s.T.contiguous(), requires_grad=False)
+        layer.weight = torch.nn.Parameter(w_q, requires_grad=False)
+
     def process_weights_after_loading(self, layer: torch.nn.Module) -> None:
         layer.weight = torch.nn.Parameter(layer.weight.data, requires_grad=False)
 
         if self.emulate:
-            layer.weight_scale = torch.nn.Parameter(
-                layer.weight_scale.data, requires_grad=False
-            )
-        else:
             if self.dynamic_mxfp4_quant:
-                w_q, w_s = dynamic_mxfp4_quant(layer.weight)
+                self.process_dynamic_mxfp4_weights_after_loading(layer)
+            else:
                 layer.weight_scale = torch.nn.Parameter(
-                    w_s.T.contiguous(), requires_grad=False
+                    layer.weight_scale.data, requires_grad=False
                 )
-                layer.weight = torch.nn.Parameter(w_q, requires_grad=False)
+        else:
+            if self.dynamic_mxfp4_quant:
+                self.process_dynamic_mxfp4_weights_after_loading(layer)
             elif self.rocm_use_aiter_fp4_asm_gemm:
                 # shuffle weight scale
                 weight_scale_shuffle = layer.weight_scale.data