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test_mds.py
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test_mds.py
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import torch
import argparse
import os
import torch.distributed as dist
dist.init_process_group('mpi')
rank = dist.get_rank()
size = dist.get_world_size()
from dist_stat import distmat
from dist_stat.application.mds import MDS
num_gpu = torch.cuda.device_count()
if __name__=='__main__':
parser = argparse.ArgumentParser(description="MDS algorithm")
parser.add_argument('--gpu', dest='with_gpu', action='store_const', const=True, default=False,
help='whether to use gpu')
parser.add_argument('--double', dest='double', action='store_const', const=True, default=False,
help='use this flag for double precision. otherwise single precision is used.')
parser.add_argument('--nosubnormal', dest='nosubnormal', action='store_const', const=True, default=False,
help='use this flag to avoid subnormal number.')
parser.add_argument('--tol', dest='tol', action='store', default=0,
help='error tolerance')
parser.add_argument('--offset', dest='offset', action='store', default=0,
help='gpu id offset')
parser.add_argument('--datapoints', dest='datapoints', action='store', default=10000)
parser.add_argument('--origdims', dest='origdims', action='store', default=10000)
parser.add_argument('--iter', dest='iter', action='store', default=10000)
parser.add_argument('--targetdims', dest='targetdims', action='store', default=20)
parser.add_argument('--set_from_master', dest='set_from_master', action='store_true',
help='samples are generated from the CPU of root: for obtaining identical dataset for different settings.')
args = parser.parse_args()
if args.with_gpu:
torch.cuda.set_device(rank % num_gpu)
if args.double:
TType=torch.cuda.DoubleTensor
else:
TType=torch.cuda.FloatTensor
else:
if args.double:
TType=torch.DoubleTensor
else:
TType=torch.FloatTensor
if args.nosubnormal:
torch.set_flush_denormal(True)
#floatlib.set_ftz()
#floatlib.set_daz()
torch.manual_seed(95376+rank)
m = distmat.distgen_normal(int(args.datapoints), int(args.origdims), set_from_master=args.set_from_master)
mds_driver = MDS(m, int(args.targetdims), TType=TType, init_from_master=args.set_from_master)
mds_driver.run(int(args.iter), tol=float(args.tol),check_interval=100, check_obj=True)