mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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88ea2c4ee9
Signed-off-by: Erin Ho <14718778+hchings@users.noreply.github.com> Co-authored-by: Yuan Tong <13075180+tongyuantongyu@users.noreply.github.com> Co-authored-by: Erin Ho <14718778+hchings@users.noreply.github.com>
41 lines
1.3 KiB
Python
41 lines
1.3 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2022-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import functools
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from tensorrt_llm._utils import mpi_disabled
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if mpi_disabled():
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raise RuntimeError(
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"Ray requested (TLLM_DISABLE_MPI=1), but not installed. Please install Ray."
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)
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def remote(*args, **kwargs):
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def decorator(func):
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# Returns a function that always raises.
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# Decorated class depends on ray, but ray is not installed.
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@functools.wraps(func)
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def stub_checker(*_, **__):
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raise RuntimeError(
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"Ray not installed, cannot use Ray based feature.")
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return stub_checker
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if len(args) == 1 and len(kwargs) == 0 and callable(args[0]):
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return decorator(args[0])
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return decorator
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