DeepLearningExamples/TensorFlow/Segmentation/VNet/examples/vnet_benchmark.py
2020-07-04 01:37:11 +02:00

81 lines
2.4 KiB
Python

# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import argparse
import os
import subprocess
from os.path import dirname
PARSER = argparse.ArgumentParser(description="vnet_benchmark")
PARSER.add_argument('--data_dir',
required=True,
type=str)
PARSER.add_argument('--model_dir',
required=True,
type=str)
PARSER.add_argument('--mode',
choices=['train', 'predict'],
required=True,
type=str)
PARSER.add_argument('--gpus',
choices=[1, 8],
required=True,
type=int)
PARSER.add_argument('--batch_size',
required=True,
type=int)
PARSER.add_argument('--amp', dest='use_amp', action='store_true', default=False)
def build_horovod_prefix(gpus):
return 'mpirun -np {} -H localhost:{} -bind-to none -map-by slot -x NCCL_DEBUG=INFO -x LD_LIBRARY_PATH -x PATH -mca ' \
'pml ob1 -mca btl ^openib --allow-run-as-root '.format(gpus, gpus)
def build_command(FLAGS, path_to_main, use_amp):
return 'python {} --data_dir {} --model_dir {} --exec_mode {} --batch_size {} {} --augment --benchmark'.format(
path_to_main,
FLAGS.data_dir,
FLAGS.model_dir,
FLAGS.mode,
FLAGS.batch_size,
use_amp)
def main():
FLAGS = PARSER.parse_args()
use_amp = '--amp' if FLAGS.use_amp else ''
path_to_main = os.path.join(dirname(dirname(os.path.realpath(__file__))), 'main.py')
cmd = build_command(FLAGS, path_to_main, use_amp)
if FLAGS.gpus > 1:
assert FLAGS.mode != 'predict', 'Prediction can only be benchmarked on 1 GPU'
cmd = build_horovod_prefix(FLAGS.gpus) + cmd
print('Command to be executed:')
print(cmd)
subprocess.call(cmd, shell=True)
if __name__ == '__main__':
main()