mindspore2022/model_zoo/utils/hccl_tools

• Description
• • Usage
  • Note

Description

MindSpore distributed training launch helper utility that will generate hccl config file.

Usage

python hccl_tools.py --device_num "[0,8)"

output:

hccl_[device_num]p_[which device]_[server_ip].json

Note

Please note that the Ascend accelerators used must be continuous, such [0,4) means to use four chips 0，1，2，3; [0,1) means to use chip 0; The first four chips are a group, and the last four chips are a group. In addition to the [0,8) chips are allowed, other cross-group such as [3,6) are prohibited.

--visible_devices means the visible devices according to the software system. Usually used in the virtual system or docker container that makes the device_id dismatch logic_id. --device_num uses logic_id. For example "4,5,6,7" means the system has 4 logic chips which are actually the last 4 chips in hardware while --device_num could only be set to "[0, 4)" instead of "[4, 8)"

hccl_tools used /etc/hccn.conf to generate rank_table_file. /etc/hccn.conf is the configuration file about ascend accelerator resources. If you are using an entirely new server without setting up NIC ip for device, you could refer to this Chinese guide or this English guide to generate hccn.conf.