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| # Copyright (c) 2025, NVIDIA CORPORATION. All rights reserved. | |
| # | |
| # 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. | |
| from typing import Optional | |
| import tensorrt_llm | |
| def is_rank(rank: Optional[int]) -> bool: | |
| """ | |
| Check if the current MPI rank matches the specified rank. | |
| Args: | |
| rank (Optional[int]): The rank to check against. | |
| Returns: | |
| bool: True if the current rank matches the specified rank or if rank is None. | |
| """ | |
| current_rank = tensorrt_llm.mpi_rank() | |
| if rank is None: | |
| return True | |
| if isinstance(rank, int): | |
| return current_rank == rank | |
| raise ValueError(f"Invalid rank argument {rank} of type {type(rank)}.") | |