[torch.compile] Fix RMSNorm + quant fusion in the non-cutlass-fp8 case, rename RedundantReshapesPass to NoopEliminationPass (#10902)

Signed-off-by: luka <luka@neuralmagic.com>

vllm/compilation/pass_manager.py

@@ -11,7 +11,7 @@ from vllm.logger import init_logger
 from .fix_functionalization import FixFunctionalizationPass
 from .fusion import FusionPass
 from .inductor_pass import InductorPass
-from .reshapes import RedundantReshapesPass
+from .noop_elimination import NoOpEliminationPass
 
 logger = init_logger(__name__)
 
@@ -36,7 +36,7 @@ class PostGradPassManager(Parent):
 
     The order of the post-grad post-passes is:
     1. passes (constructor parameter)
-    2. default passes (RedundantReshapesPass, FusionPass)
+    2. default passes (NoopEliminationPass, FusionPass)
     3. config["post_grad_custom_post_pass"] (if it exists)
     4. fix_functionalization
     This way, all passes operate on a functionalized graph.
@@ -54,8 +54,8 @@ class PostGradPassManager(Parent):
 
     def configure(self, pass_config: CompilationConfig.PassConfig):
         self.pass_config = pass_config
-        if pass_config.enable_reshape:
-            self.passes += [RedundantReshapesPass(pass_config)]
+        if pass_config.enable_noop:
+            self.passes += [NoOpEliminationPass(pass_config)]
 
         if pass_config.enable_fusion:
             self.passes += [FusionPass.instance(pass_config)]