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			39 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			39 lines
		
	
	
		
			1.2 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| """
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| # Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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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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| """
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| 
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| import os
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| 
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| from fastdeploy.config import FDConfig
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| 
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| 
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| def init_rank_and_device_id(fd_config: FDConfig):
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|     """ """
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|     rank = (
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|         fd_config.parallel_config.expert_parallel_rank * fd_config.parallel_config.tensor_parallel_size
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|         + fd_config.parallel_config.tensor_parallel_rank
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|     )
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| 
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|     cuda_visible_devices = os.getenv("CUDA_VISIBLE_DEVICES", None)
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| 
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|     if cuda_visible_devices is None:
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|         device_id = rank
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|     else:
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|         cuda_visible_devices = cuda_visible_devices.split(",")
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|         rank_index = rank % len(cuda_visible_devices)
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|         device_id = cuda_visible_devices[rank_index]
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| 
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|     return rank, device_id
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