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import os
import io
import re
import subprocess
import logging
import random
import torch
import numpy as np
## This code is borrowed from
# https://github.com/researchmm/STTN/blob/master/core/dist.py
def get_world_size():
"""Find OMPI world size without calling mpi functions
:rtype: int
"""
if os.environ.get('PMI_SIZE') is not None:
return int(os.environ.get('PMI_SIZE') or 1)
elif os.environ.get('OMPI_COMM_WORLD_SIZE') is not None:
return int(os.environ.get('OMPI_COMM_WORLD_SIZE') or 1)
else:
return torch.cuda.device_count()
def get_global_rank():
"""Find OMPI world rank without calling mpi functions
:rtype: int
"""
if os.environ.get('PMI_RANK') is not None:
return int(os.environ.get('PMI_RANK') or 0)
elif os.environ.get('OMPI_COMM_WORLD_RANK') is not None:
return int(os.environ.get('OMPI_COMM_WORLD_RANK') or 0)
else:
return 0
def get_local_rank():
"""Find OMPI local rank without calling mpi functions
:rtype: int
"""
if os.environ.get('MPI_LOCALRANKID') is not None:
return int(os.environ.get('MPI_LOCALRANKID') or 0)
elif os.environ.get('OMPI_COMM_WORLD_LOCAL_RANK') is not None:
return int(os.environ.get('OMPI_COMM_WORLD_LOCAL_RANK') or 0)
else:
return 0
def get_master_ip():
if os.environ.get('AZ_BATCH_MASTER_NODE') is not None:
return os.environ.get('AZ_BATCH_MASTER_NODE').split(':')[0]
elif os.environ.get('AZ_BATCHAI_MPI_MASTER_NODE') is not None:
return os.environ.get('AZ_BATCHAI_MPI_MASTER_NODE')
else:
return "127.0.0.1"