We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Add documentation in user guide on `torch.compile` usage
- `torch.compile` "from-scratch" usage

--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `py/torch_tensorrt/dynamo/_settings.py`
Content:
```
1 from dataclasses import dataclass, field
2 from typing import Optional, Set
3 
4 import torch
5 from torch_tensorrt._Device import Device
6 from torch_tensorrt.dynamo._defaults import (
7     DEBUG,
8     ENABLE_EXPERIMENTAL_DECOMPOSITIONS,
9     MAX_AUX_STREAMS,
10     MIN_BLOCK_SIZE,
11     OPTIMIZATION_LEVEL,
12     PASS_THROUGH_BUILD_FAILURES,
13     PRECISION,
14     REQUIRE_FULL_COMPILATION,
15     TRUNCATE_LONG_AND_DOUBLE,
16     USE_FAST_PARTITIONER,
17     USE_PYTHON_RUNTIME,
18     VERSION_COMPATIBLE,
19     WORKSPACE_SIZE,
20     default_device,
21 )
22 
23 
24 @dataclass
25 class CompilationSettings:
26     """Compilation settings for Torch-TensorRT Dynamo Paths
27 
28     Args:
29         precision (torch.dtype): Model Layer precision
30         debug (bool): Whether to print out verbose debugging information
31         workspace_size (int): Workspace TRT is allowed to use for the module (0 is default)
32         min_block_size (int): Minimum number of operators per TRT-Engine Block
33         torch_executed_ops (Sequence[str]): Sequence of operations to run in Torch, regardless of converter coverage
34         pass_through_build_failures (bool): Whether to fail on TRT engine build errors (True) or not (False)
35         max_aux_streams (Optional[int]): Maximum number of allowed auxiliary TRT streams for each engine
36         version_compatible (bool): Provide version forward-compatibility for engine plan files
37         optimization_level (Optional[int]): Builder optimization 0-5, higher levels imply longer build time,
38             searching for more optimization options. TRT defaults to 3
39         use_python_runtime (Optional[bool]): Whether to strictly use Python runtime or C++ runtime. To auto-select a runtime
40             based on C++ dependency presence (preferentially choosing C++ runtime if available), leave the
41             argument as None
42         truncate_long_and_double (bool): Truncate int64/float64 TRT engine inputs or weights to int32/float32
43         enable_experimental_decompositions (bool): Whether to enable all core aten decompositions
44             or only a selected subset of them
45     """
46 
47     precision: torch.dtype = PRECISION
48     debug: bool = DEBUG
49     workspace_size: int = WORKSPACE_SIZE
50     min_block_size: int = MIN_BLOCK_SIZE
51     torch_executed_ops: Set[str] = field(default_factory=set)
52     pass_through_build_failures: bool = PASS_THROUGH_BUILD_FAILURES
53     max_aux_streams: Optional[int] = MAX_AUX_STREAMS
54     version_compatible: bool = VERSION_COMPATIBLE
55     optimization_level: Optional[int] = OPTIMIZATION_LEVEL
56     use_python_runtime: Optional[bool] = USE_PYTHON_RUNTIME
57     truncate_long_and_double: bool = TRUNCATE_LONG_AND_DOUBLE
58     use_fast_partitioner: bool = USE_FAST_PARTITIONER
59     enable_experimental_decompositions: bool = ENABLE_EXPERIMENTAL_DECOMPOSITIONS
60     device: Device = field(default_factory=default_device)
61     require_full_compilation: bool = REQUIRE_FULL_COMPILATION
62
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/py/torch_tensorrt/dynamo/_settings.py b/py/torch_tensorrt/dynamo/_settings.py
--- a/py/torch_tensorrt/dynamo/_settings.py
+++ b/py/torch_tensorrt/dynamo/_settings.py
@@ -39,9 +39,13 @@
         use_python_runtime (Optional[bool]): Whether to strictly use Python runtime or C++ runtime. To auto-select a runtime
             based on C++ dependency presence (preferentially choosing C++ runtime if available), leave the
             argument as None
-        truncate_long_and_double (bool): Truncate int64/float64 TRT engine inputs or weights to int32/float32
+        truncate_long_and_double (bool): Whether to truncate int64/float64 TRT engine inputs or weights to int32/float32
+        use_fast_partitioner (bool): Whether to use the fast or global graph partitioning system
         enable_experimental_decompositions (bool): Whether to enable all core aten decompositions
             or only a selected subset of them
+        device (Device): GPU to compile the model on
+        require_full_compilation (bool): Whether to require the graph is fully compiled in TensorRT.
+            Only applicable for `ir="dynamo"`; has no effect for `torch.compile` path
     """
 
     precision: torch.dtype = PRECISION

{"golden_diff": "diff --git a/py/torch_tensorrt/dynamo/_settings.py b/py/torch_tensorrt/dynamo/_settings.py\n--- a/py/torch_tensorrt/dynamo/_settings.py\n+++ b/py/torch_tensorrt/dynamo/_settings.py\n@@ -39,9 +39,13 @@\n         use_python_runtime (Optional[bool]): Whether to strictly use Python runtime or C++ runtime. To auto-select a runtime\n             based on C++ dependency presence (preferentially choosing C++ runtime if available), leave the\n             argument as None\n-        truncate_long_and_double (bool): Truncate int64/float64 TRT engine inputs or weights to int32/float32\n+        truncate_long_and_double (bool): Whether to truncate int64/float64 TRT engine inputs or weights to int32/float32\n+        use_fast_partitioner (bool): Whether to use the fast or global graph partitioning system\n         enable_experimental_decompositions (bool): Whether to enable all core aten decompositions\n             or only a selected subset of them\n+        device (Device): GPU to compile the model on\n+        require_full_compilation (bool): Whether to require the graph is fully compiled in TensorRT.\n+            Only applicable for `ir=\"dynamo\"`; has no effect for `torch.compile` path\n     \"\"\"\n \n     precision: torch.dtype = PRECISION\n", "issue": "Add documentation in user guide on `torch.compile` usage\n- `torch.compile` \"from-scratch\" usage\n", "before_files": [{"content": "from dataclasses import dataclass, field\nfrom typing import Optional, Set\n\nimport torch\nfrom torch_tensorrt._Device import Device\nfrom torch_tensorrt.dynamo._defaults import (\n    DEBUG,\n    ENABLE_EXPERIMENTAL_DECOMPOSITIONS,\n    MAX_AUX_STREAMS,\n    MIN_BLOCK_SIZE,\n    OPTIMIZATION_LEVEL,\n    PASS_THROUGH_BUILD_FAILURES,\n    PRECISION,\n    REQUIRE_FULL_COMPILATION,\n    TRUNCATE_LONG_AND_DOUBLE,\n    USE_FAST_PARTITIONER,\n    USE_PYTHON_RUNTIME,\n    VERSION_COMPATIBLE,\n    WORKSPACE_SIZE,\n    default_device,\n)\n\n\n@dataclass\nclass CompilationSettings:\n    \"\"\"Compilation settings for Torch-TensorRT Dynamo Paths\n\n    Args:\n        precision (torch.dtype): Model Layer precision\n        debug (bool): Whether to print out verbose debugging information\n        workspace_size (int): Workspace TRT is allowed to use for the module (0 is default)\n        min_block_size (int): Minimum number of operators per TRT-Engine Block\n        torch_executed_ops (Sequence[str]): Sequence of operations to run in Torch, regardless of converter coverage\n        pass_through_build_failures (bool): Whether to fail on TRT engine build errors (True) or not (False)\n        max_aux_streams (Optional[int]): Maximum number of allowed auxiliary TRT streams for each engine\n        version_compatible (bool): Provide version forward-compatibility for engine plan files\n        optimization_level (Optional[int]): Builder optimization 0-5, higher levels imply longer build time,\n            searching for more optimization options. TRT defaults to 3\n        use_python_runtime (Optional[bool]): Whether to strictly use Python runtime or C++ runtime. To auto-select a runtime\n            based on C++ dependency presence (preferentially choosing C++ runtime if available), leave the\n            argument as None\n        truncate_long_and_double (bool): Truncate int64/float64 TRT engine inputs or weights to int32/float32\n        enable_experimental_decompositions (bool): Whether to enable all core aten decompositions\n            or only a selected subset of them\n    \"\"\"\n\n    precision: torch.dtype = PRECISION\n    debug: bool = DEBUG\n    workspace_size: int = WORKSPACE_SIZE\n    min_block_size: int = MIN_BLOCK_SIZE\n    torch_executed_ops: Set[str] = field(default_factory=set)\n    pass_through_build_failures: bool = PASS_THROUGH_BUILD_FAILURES\n    max_aux_streams: Optional[int] = MAX_AUX_STREAMS\n    version_compatible: bool = VERSION_COMPATIBLE\n    optimization_level: Optional[int] = OPTIMIZATION_LEVEL\n    use_python_runtime: Optional[bool] = USE_PYTHON_RUNTIME\n    truncate_long_and_double: bool = TRUNCATE_LONG_AND_DOUBLE\n    use_fast_partitioner: bool = USE_FAST_PARTITIONER\n    enable_experimental_decompositions: bool = ENABLE_EXPERIMENTAL_DECOMPOSITIONS\n    device: Device = field(default_factory=default_device)\n    require_full_compilation: bool = REQUIRE_FULL_COMPILATION\n", "path": "py/torch_tensorrt/dynamo/_settings.py"}], "after_files": [{"content": "from dataclasses import dataclass, field\nfrom typing import Optional, Set\n\nimport torch\nfrom torch_tensorrt._Device import Device\nfrom torch_tensorrt.dynamo._defaults import (\n    DEBUG,\n    ENABLE_EXPERIMENTAL_DECOMPOSITIONS,\n    MAX_AUX_STREAMS,\n    MIN_BLOCK_SIZE,\n    OPTIMIZATION_LEVEL,\n    PASS_THROUGH_BUILD_FAILURES,\n    PRECISION,\n    REQUIRE_FULL_COMPILATION,\n    TRUNCATE_LONG_AND_DOUBLE,\n    USE_FAST_PARTITIONER,\n    USE_PYTHON_RUNTIME,\n    VERSION_COMPATIBLE,\n    WORKSPACE_SIZE,\n    default_device,\n)\n\n\n@dataclass\nclass CompilationSettings:\n    \"\"\"Compilation settings for Torch-TensorRT Dynamo Paths\n\n    Args:\n        precision (torch.dtype): Model Layer precision\n        debug (bool): Whether to print out verbose debugging information\n        workspace_size (int): Workspace TRT is allowed to use for the module (0 is default)\n        min_block_size (int): Minimum number of operators per TRT-Engine Block\n        torch_executed_ops (Sequence[str]): Sequence of operations to run in Torch, regardless of converter coverage\n        pass_through_build_failures (bool): Whether to fail on TRT engine build errors (True) or not (False)\n        max_aux_streams (Optional[int]): Maximum number of allowed auxiliary TRT streams for each engine\n        version_compatible (bool): Provide version forward-compatibility for engine plan files\n        optimization_level (Optional[int]): Builder optimization 0-5, higher levels imply longer build time,\n            searching for more optimization options. TRT defaults to 3\n        use_python_runtime (Optional[bool]): Whether to strictly use Python runtime or C++ runtime. To auto-select a runtime\n            based on C++ dependency presence (preferentially choosing C++ runtime if available), leave the\n            argument as None\n        truncate_long_and_double (bool): Whether to truncate int64/float64 TRT engine inputs or weights to int32/float32\n        use_fast_partitioner (bool): Whether to use the fast or global graph partitioning system\n        enable_experimental_decompositions (bool): Whether to enable all core aten decompositions\n            or only a selected subset of them\n        device (Device): GPU to compile the model on\n        require_full_compilation (bool): Whether to require the graph is fully compiled in TensorRT.\n            Only applicable for `ir=\"dynamo\"`; has no effect for `torch.compile` path\n    \"\"\"\n\n    precision: torch.dtype = PRECISION\n    debug: bool = DEBUG\n    workspace_size: int = WORKSPACE_SIZE\n    min_block_size: int = MIN_BLOCK_SIZE\n    torch_executed_ops: Set[str] = field(default_factory=set)\n    pass_through_build_failures: bool = PASS_THROUGH_BUILD_FAILURES\n    max_aux_streams: Optional[int] = MAX_AUX_STREAMS\n    version_compatible: bool = VERSION_COMPATIBLE\n    optimization_level: Optional[int] = OPTIMIZATION_LEVEL\n    use_python_runtime: Optional[bool] = USE_PYTHON_RUNTIME\n    truncate_long_and_double: bool = TRUNCATE_LONG_AND_DOUBLE\n    use_fast_partitioner: bool = USE_FAST_PARTITIONER\n    enable_experimental_decompositions: bool = ENABLE_EXPERIMENTAL_DECOMPOSITIONS\n    device: Device = field(default_factory=default_device)\n    require_full_compilation: bool = REQUIRE_FULL_COMPILATION\n", "path": "py/torch_tensorrt/dynamo/_settings.py"}]}