chore: import upstream snapshot with attribution
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# Copyright (c) 2026 LightSeek Foundation
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in
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# all copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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from __future__ import annotations
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import atexit
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import json
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import os
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import threading
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import time
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import warnings
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from contextlib import contextmanager
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from dataclasses import asdict, dataclass
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from pathlib import Path
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from typing import Any
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from tokenspeed_kernel._triton import proton
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_HAS_PROTON = proton is not None
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__all__ = [
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"CapturedShape",
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"ProfilingConfig",
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"ProfilingState",
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"ShapeCapture",
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"bootstrap_profiling_from_env",
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"kernel_scope",
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"profiling",
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"shape_capture",
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"start_shape_capture",
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"start_profiling",
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"stop_shape_capture",
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"stop_profiling",
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]
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# Enable profiling bootstrap at import time.
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# Truthy values: 1/true/yes/on (case-insensitive).
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_ENV_PROFILE = "TOKENSPEED_KERNEL_PROFILE"
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# Proton output prefix/path.
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# Default: "profile".
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_ENV_PROFILE_OUTPUT = "TOKENSPEED_KERNEL_PROFILE_OUTPUT"
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# Profiling data mode.
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# Supported: "tree" or "trace". Default: "tree".
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_ENV_PROFILE_DATA = "TOKENSPEED_KERNEL_PROFILE_DATA"
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# Activity backend override.
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# Supported: "cupti" or "roctracer".
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_ENV_PROFILE_BACKEND = "TOKENSPEED_KERNEL_PROFILE_BACKEND"
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# Profiling mode override.
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# Supported: "pcsampling" or "periodic_flushing".
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_ENV_PROFILE_MODE = "TOKENSPEED_KERNEL_PROFILE_MODE"
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# Launch hook override.
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# Typical value: "triton".
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_ENV_PROFILE_HOOK = "TOKENSPEED_KERNEL_PROFILE_HOOK"
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# Finalized report format.
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# Supported: "hatchet", "hatchet_msgpack", "chrome_trace".
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_ENV_PROFILE_OUTPUT_FORMAT = "TOKENSPEED_KERNEL_PROFILE_OUTPUT_FORMAT"
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# Enable shape capture bootstrap at import time.
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# Truthy values: 1/true/yes/on (case-insensitive).
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_ENV_CAPTURE_SHAPES = "TOKENSPEED_KERNEL_CAPTURE_SHAPES"
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# Shape capture output JSON path.
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# Default: "shapes.json".
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_ENV_CAPTURE_SHAPES_OUTPUT = "TOKENSPEED_KERNEL_CAPTURE_SHAPES_OUTPUT"
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@dataclass
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class ProfilingConfig:
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output: str = "profile"
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data: str = "tree"
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backend: str | None = None
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mode: str | None = None
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hook: str | None = "triton"
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output_format: str = ""
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class ProfilingState:
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_instance: "ProfilingState | None" = None
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def __init__(self) -> None:
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self.enabled: bool = False
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self._session: int | None = None
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self._config: ProfilingConfig | None = None
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@classmethod
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def get(cls) -> "ProfilingState":
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if cls._instance is None:
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cls._instance = ProfilingState()
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return cls._instance
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@classmethod
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def reset(cls) -> None:
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cls._instance = None
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@property
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def active(self) -> bool:
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return self.enabled and self._session is not None
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@dataclass
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class CapturedShape:
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family: str
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mode: str
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kernel_name: str
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dtype: str
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shape_params: dict[str, Any]
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timestamp_ns: int
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class ShapeCapture:
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_instance: "ShapeCapture | None" = None
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def __init__(self) -> None:
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self.enabled: bool = False
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self._records: list[CapturedShape] = []
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self._lock = threading.Lock()
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@classmethod
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def get(cls) -> "ShapeCapture":
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if cls._instance is None:
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cls._instance = ShapeCapture()
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return cls._instance
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@classmethod
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def reset(cls) -> None:
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cls._instance = None
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def record(
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self,
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family: str,
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mode: str,
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kernel_name: str,
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dtype: Any,
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shape_params: dict[str, Any],
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) -> None:
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if not self.enabled:
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return
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entry = CapturedShape(
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family=family,
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mode=mode,
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kernel_name=kernel_name,
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dtype=str(dtype),
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shape_params=dict(shape_params),
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timestamp_ns=time.time_ns(),
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)
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with self._lock:
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self._records.append(entry)
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def dump(self, path: str | Path) -> None:
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with self._lock:
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payload = [asdict(record) for record in self._records]
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output_path = Path(path)
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output_path.parent.mkdir(parents=True, exist_ok=True)
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output_path.write_text(
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json.dumps(payload, indent=2, sort_keys=True, default=str)
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)
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def clear(self) -> None:
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with self._lock:
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self._records.clear()
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class _NoopScope:
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def __enter__(self) -> "_NoopScope":
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return self
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def __exit__(self, *args: object) -> None:
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_ = args
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_NOOP_SCOPE = _NoopScope()
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_BOOTSTRAPPED = False
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def _is_truthy(value: str | None) -> bool:
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if value is None:
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return False
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return value.strip().lower() in {"1", "true", "yes", "on"}
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def _profile_config_from_env() -> ProfilingConfig:
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return ProfilingConfig(
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output=os.environ.get(_ENV_PROFILE_OUTPUT, "profile"),
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data=os.environ.get(_ENV_PROFILE_DATA, "tree"),
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backend=os.environ.get(_ENV_PROFILE_BACKEND),
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mode=os.environ.get(_ENV_PROFILE_MODE),
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hook=os.environ.get(_ENV_PROFILE_HOOK, "triton"),
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output_format=os.environ.get(_ENV_PROFILE_OUTPUT_FORMAT, ""),
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)
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def start_profiling(config: ProfilingConfig | None = None) -> int | None:
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state = ProfilingState.get()
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if state.active:
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return state._session
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if not _HAS_PROTON:
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warnings.warn("Proton not installed; profiling disabled", stacklevel=2)
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return None
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config = config or ProfilingConfig()
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session = proton.start(
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config.output,
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data=config.data,
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backend=config.backend,
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mode=config.mode,
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hook=config.hook,
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)
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state._config = config
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state._session = session
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state.enabled = session is not None
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return session
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def stop_profiling() -> None:
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state = ProfilingState.get()
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if not state.active or not _HAS_PROTON:
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state._session = None
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state._config = None
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state.enabled = False
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return
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output_format = state._config.output_format if state._config is not None else ""
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proton.finalize(state._session, output_format)
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state._session = None
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state._config = None
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state.enabled = False
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def start_shape_capture() -> None:
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ShapeCapture.get().enabled = True
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def stop_shape_capture(output_path: str | Path = "shapes.json") -> None:
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capture = ShapeCapture.get()
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if not capture.enabled:
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return
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capture.dump(output_path)
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capture.enabled = False
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capture.clear()
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@contextmanager
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def profiling(config: ProfilingConfig | None = None):
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session = start_profiling(config)
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try:
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yield session
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finally:
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stop_profiling()
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@contextmanager
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def shape_capture(output_path: str | Path = "shapes.json"):
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start_shape_capture()
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try:
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yield
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finally:
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stop_shape_capture(output_path)
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def kernel_scope(
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family: str,
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mode: str,
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dtype: Any,
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*,
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kernel_name: str = "",
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**metrics: object,
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):
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state = ProfilingState.get()
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if not state.active:
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return _NOOP_SCOPE
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name = f"{family}.{mode}[{kernel_name}]" if kernel_name else f"{family}.{mode}"
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scope_metrics = {"dtype": str(dtype)}
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scope_metrics.update(metrics)
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return proton.scope(name, metrics=scope_metrics)
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def _atexit_stop_profiling() -> None:
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try:
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stop_profiling()
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except Exception as exc:
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warnings.warn(f"Failed to finalize profiling at exit: {exc}", stacklevel=1)
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def _atexit_stop_shape_capture() -> None:
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output_path = os.environ.get(_ENV_CAPTURE_SHAPES_OUTPUT, "shapes.json")
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try:
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stop_shape_capture(output_path)
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except Exception as exc:
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warnings.warn(
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f"Failed to finalize shape capture at exit: {exc}",
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stacklevel=1,
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)
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def bootstrap_profiling_from_env() -> None:
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global _BOOTSTRAPPED
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if _BOOTSTRAPPED:
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return
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_BOOTSTRAPPED = True
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if _is_truthy(os.environ.get(_ENV_PROFILE)):
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start_profiling(_profile_config_from_env())
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if _is_truthy(os.environ.get(_ENV_CAPTURE_SHAPES)):
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start_shape_capture()
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atexit.register(_atexit_stop_profiling)
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atexit.register(_atexit_stop_shape_capture)
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