[Kernel][Misc] register ops to prevent graph breaks (#6917)

Co-authored-by: Sage Moore <sage@neuralmagic.com>

vllm/worker/model_runner.py

@@ -75,6 +75,10 @@ _NUM_WARMUP_ITERS = 2
 
 TModelInputForGPU = TypeVar('TModelInputForGPU', bound="ModelInputForGPU")
 
+# For now, bump up cache limits for recompilations during CUDA graph warmups.
+torch._dynamo.config.cache_size_limit = 128
+torch._dynamo.config.accumulated_cache_size_limit = 128
+
 
 @dataclass(frozen=True)
 class ModelInputForGPU(ModelRunnerInputBase):
@@ -1060,9 +1064,10 @@ class GPUModelRunnerBase(ModelRunnerBase[TModelInputForGPU]):
                     "This may lead to less accurate results!")
 
         if envs.VLLM_TEST_DYNAMO_GRAPH_CAPTURE and supports_dynamo():
-            self.model = torch.compile(self.model,
-                                       fullgraph=True,
-                                       backend="eager")
+            self.model = torch.compile(
+                self.model,
+                fullgraph=envs.VLLM_TEST_DYNAMO_FULLGRAPH_CAPTURE,
+                backend="eager")
 
     def save_sharded_state(
         self,

vllm/worker/worker.py

@@ -166,6 +166,7 @@ class Worker(LocalOrDistributedWorkerBase):
             torch.cuda.set_device(self.device)
 
             _check_if_gpu_supports_dtype(self.model_config.dtype)
+            gc.collect()
             torch.cuda.empty_cache()
             self.init_gpu_memory = torch.cuda.mem_get_info()[0]
         else: