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Copy file name to clipboardExpand all lines: doc/howto/usage/cluster/cluster_train_en.md
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- port: **required, default 7164**, port which parameter server will listen on. If ports_num greater than 1, parameter server will listen on multiple ports for more network throughput.
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- ports_num: **required, default 1**, total number of ports will listen on.
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- ports_num_for_sparse: **required, default 1**, number of ports which serves sparse parameter update.
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- ports_num_for_sparse: **required, default 0**, number of ports which serves sparse parameter update.
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- num_gradient_servers: **required, default 1**, total number of gradient servers.
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### Starting trainer
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- trainer_count: **required, default 1**, total count of trainers in the training job.
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- port: **required, default 7164**, port to connect to parameter server.
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- ports_num: **required, default 1**, number of ports for communication.
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- ports_num_for_sparse: **required, default 1**, number of ports for sparse type caculation.
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- ports_num_for_sparse: **required, default 0**, number of ports for sparse type caculation.
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- num_gradient_servers: **required, default 1**, total number of gradient server.
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- trainer_id: **required, default 0**, ID for every trainer, start from 0.
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- pservers: **required, default 127.0.0.1**, list of IPs of parameter servers, separated by ",".
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