mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
synced 2026-01-13 22:18:36 +08:00
70e4d72ffa
Signed-off-by: shuyix <219646547+shuyixiong@users.noreply.github.com> Co-authored-by: Liwei Ma <liweim@nvidia.com> Co-authored-by: Jonas Yang CN <joyang@nvidia.com>
44 lines
1.3 KiB
Python
44 lines
1.3 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
import functools
|
|
from contextlib import contextmanager
|
|
from typing import Callable
|
|
|
|
try:
|
|
import ray
|
|
except ImportError:
|
|
import tensorrt_llm.ray_stub as ray
|
|
|
|
|
|
@contextmanager
|
|
def unwrap_ray_errors():
|
|
try:
|
|
yield
|
|
except ray.exceptions.RayTaskError as e:
|
|
raise e.as_instanceof_cause() from e
|
|
|
|
|
|
def control_action_decorator(func: Callable) -> Callable:
|
|
"""
|
|
Decorator that wraps a method to use control_action context manager.
|
|
"""
|
|
|
|
@functools.wraps(func)
|
|
def wrapper(self, *args, **kwargs):
|
|
with self.engine.control_action():
|
|
return func(self, *args, **kwargs)
|
|
|
|
return wrapper
|