Llama distributed example

[apbose]

The PR addresses

1. Llama3 end to end example with complex graph lowering
2. Removal of hardcoded components of rotary embedding example

[github-actions]

There are some changes that do not conform to Python style guidelines:

--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/utils.py	2025-09-22 06:34:48.499754+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/utils.py	2025-09-22 06:35:25.106098+00:00
@@ -863,6 +863,6 @@
    return False


def is_thor() -> bool:
    if torch.cuda.get_device_capability() in [(11, 0)]:
-        return True
\ No newline at end of file
+        return True

[github-actions]

There are some changes that do not conform to Python style guidelines:

--- /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/distributed/utils.py	2025-09-25 20:01:17.061900+00:00
+++ /home/runner/work/TensorRT/TensorRT/py/torch_tensorrt/dynamo/distributed/utils.py	2025-09-25 20:01:51.633567+00:00
@@ -100,11 +100,10 @@
        return True

    except Exception as e:
        logger.warning(f"Failed to detect CUDA version: {e}")
        return False
-

    return True


def _cache_root() -> Path: