CM_WORKER_IP

Description

In the TensorFlow distributed training or inference scenario, you can choose not to use the rank table file. Instead, you can use the environment variables CM_CHIEF_IP, CM_CHIEF_PORT, CM_CHIEF_DEVICE, CM_WORKER_SIZE, and CM_WORKER_IP to automatically generate resource information and initialize the collective communication component.

Configures the NIC IP address used for information exchange between the current device and the master node.

The value is a character string in IPv4 or IPv6 format.

Example

export CM_WORKER_IP=192.168.0.1

Restrictions

This environment variable cannot be used together with RANK_TABLE_FILE, RANK_ID, or RANK_SIZE.

Applicability

Atlas training products

Atlas A2 training products/Atlas A2 inference products