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Subject [GitHub] [singa-doc] chrishkchris commented on issue #14: rearrange contents in dist-train.md
Date Sat, 04 Apr 2020 14:13:56 GMT
chrishkchris commented on issue #14: rearrange contents in dist-train.md
URL: https://github.com/apache/singa-doc/pull/14#issuecomment-609034750
 
 
   > Then would it be better to design the APIs in this way:
   > 
   > 1. For training with MPI
   > 
   > ```python
   >  # in mnist_mpi.py
   > if __name__  == '__main__':
   >   sgd = ...
   >   sgd = DistOpt(sgd)
   >   train_mnist(sgd, sparse, topK)
   > ```
   > 
   > 1. For training via multiprocessing
   > 
   > ```python
   >  # in mnist_multiprocessing.py
   > if __name__  == '__main__':
   >   nccl_id = ...
   >   sgd = ...
   >   sgd = DistOpt(sgd, num_gpu, nccl_id)
   >   train_mnist(sgd, sparse, topK)
   > ```
   > 
   > Even if you use socket, multiprocessing can only run on a single node, hence num_gpu
= gpu_per_node.
   
   Sorry, I updated my comment
   num_gpu is the local rank of a specific process
   gpu_per_node is the total number of ranks in a single node
   

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