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Implementation:Intel Ipex llm Get Int From Env

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Knowledge Sources
Domains Infrastructure, Utilities
Last Updated 2026-02-09 00:00 GMT

Overview

Concrete utility for reading distributed training environment variables provided by the IPEX-LLM common utilities.

Description

The get_int_from_env function reads environment variables commonly set by distributed launchers (mpirun, torchrun) such as LOCAL_RANK, WORLD_SIZE, and MASTER_PORT. It accepts a list of possible environment variable names and returns the first positive integer value found, or a default. This handles the variation between different launcher tools that use different env variable names.

Usage

Import this function when initializing distributed training environment on Intel XPU. Use it to read LOCAL_RANK, WORLD_SIZE, and MASTER_PORT before setting up DDP.

Code Reference

Source Location

  • Repository: IPEX-LLM
  • File: python/llm/example/GPU/LLM-Finetuning/common/utils/util.py
  • Lines: 54-60

Signature

def get_int_from_env(env_keys: List[str], default) -> int:
    """Returns the first positive env value found in the `env_keys` list or the default."""

Import

from common.utils import get_int_from_env

I/O Contract

Inputs

Name Type Required Description
env_keys List[str] Yes List of environment variable names to check (e.g., ["LOCAL_RANK", "MPI_LOCALRANKID"])
default int or str Yes Default value if no env variable is found

Outputs

Name Type Description
return int The first positive integer value found, or int(default)

Usage Examples

from common.utils import get_int_from_env
import os

# Read LOCAL_RANK from either mpirun or torchrun env vars
local_rank = get_int_from_env(["LOCAL_RANK", "MPI_LOCALRANKID"], "0")
world_size = get_int_from_env(["WORLD_SIZE", "PMI_SIZE"], "1")
port = get_int_from_env(["MASTER_PORT"], 29500)

# Set environment for DDP
os.environ["LOCAL_RANK"] = str(local_rank)
os.environ["WORLD_SIZE"] = str(world_size)
os.environ["RANK"] = str(local_rank)
os.environ["MASTER_PORT"] = str(port)

Related Pages

Implements Principle

Requires Environment

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