[torch.compile] Passing only necessary compilation config to inductor pass config

tests/compile/test_async_tp.py

@@ -341,6 +341,15 @@ def async_tp_pass_on_test_model(
     async_tp_pass = AsyncTPPass(vllm_config)
     backend = TestBackend(async_tp_pass)
 
+    assert (
+        async_tp_pass.compilation_config.splitting_ops
+        == vllm_config.compilation_config.splitting_ops
+    )
+    assert (
+        async_tp_pass.compilation_config.use_inductor_graph_partition
+        == vllm_config.compilation_config.use_inductor_graph_partition
+    )
+
     model = test_model_cls(hidden_size, dtype)  # Pass dtype to model constructor
 
     hidden_states = torch.randn(

tests/compile/test_config.py

@@ -1,8 +1,11 @@
 # SPDX-License-Identifier: Apache-2.0
 # SPDX-FileCopyrightText: Copyright contributors to the vLLM project
+import copy
+
 import pytest
 
 from vllm.compilation.counter import compilation_counter
+from vllm.compilation.fix_functionalization import FixFunctionalizationPass
 from vllm.config import CompilationConfig, CUDAGraphMode, VllmConfig
 from vllm.config.compilation import CompilationMode
 from vllm.utils import _is_torch_equal_or_newer, is_torch_equal_or_newer
@@ -25,6 +28,20 @@ def test_use_cudagraphs_dynamic():
     assert vllm_config.compilation_config.use_cudagraph
 
 
+def test_copy_pass():
+    vllm_config = VllmConfig()
+    inductor_pass = FixFunctionalizationPass(vllm_config)
+    copied_inductor_pass = copy.deepcopy(inductor_pass)
+    assert (
+        copied_inductor_pass.compilation_config.use_inductor_graph_partition
+        == vllm_config.compilation_config.use_inductor_graph_partition
+    )
+    assert (
+        copied_inductor_pass.compilation_config.splitting_ops
+        == vllm_config.compilation_config.splitting_ops
+    )
+
+
 def test_custom_op():
     # proper syntax
     _ = CompilationConfig(custom_ops=["+quant_fp8", "-silu_and_mul"])

tests/compile/test_sequence_parallelism.py

@@ -285,6 +285,14 @@ def sequence_parallelism_pass_on_test_model(
 
     noop_pass = NoOpEliminationPass(vllm_config)
     sequence_parallelism_pass = SequenceParallelismPass(vllm_config)
+    assert (
+        sequence_parallelism_pass.compilation_config.splitting_ops
+        == vllm_config.compilation_config.splitting_ops
+    )
+    assert (
+        sequence_parallelism_pass.compilation_config.use_inductor_graph_partition
+        == vllm_config.compilation_config.use_inductor_graph_partition
+    )
     func_pass = FixFunctionalizationPass(vllm_config)
     cleanup_pass = PostCleanupPass(vllm_config)
 

vllm/compilation/vllm_inductor_pass.py

@@ -3,7 +3,7 @@
 import functools
 import operator
 import time
-import weakref
+from dataclasses import dataclass
 from typing import ClassVar
 
 import regex as re
@@ -19,6 +19,13 @@
 logger = init_logger(__name__)
 
 
+@dataclass
+class InductorCompilationConfig:
+    splitting_ops: list[str] | None = None
+    use_inductor_graph_partition: bool = False
+    compile_sizes: list[int | str] | None = None
+
+
 class VllmInductorPass(InductorPass):
     """
     An inductor pass with access to vLLM PassConfig.
@@ -29,7 +36,13 @@ class VllmInductorPass(InductorPass):
     """Keep track of pass index for debug dump ordering."""
 
     def __init__(self, config: VllmConfig):
-        self.compilation_config = weakref.proxy(config.compilation_config)
+        # Get only the necessary CompilationConfig for the inductor pass, since
+        # full `CompilationConfig` contains pointer to model which is unsafe.
+        self.compilation_config = InductorCompilationConfig(
+            splitting_ops=config.splitting_ops,
+            use_inductor_graph_partition=config.use_inductor_graph_partition,
+            compile_sizes=config.compile_sizes,
+        )
         self.pass_config = config.compilation_config.pass_config
         self.model_dtype = config.model_config.dtype if config.model_config else None
         self.device = config.device_config.device if config.device_config else None