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| 1 | +# |
| 2 | +# Licensed to the Apache Software Foundation (ASF) under one |
| 3 | +# or more contributor license agreements. See the NOTICE file |
| 4 | +# distributed with this work for additional information |
| 5 | +# regarding copyright ownership. The ASF licenses this file |
| 6 | +# to you under the Apache License, Version 2.0 (the |
| 7 | +# "License"); you may not use this file except in compliance |
| 8 | +# with the License. You may obtain a copy of the License at |
| 9 | +# |
| 10 | +# http://www.apache.org/licenses/LICENSE-2.0 |
| 11 | +# |
| 12 | +# Unless required by applicable law or agreed to in writing, |
| 13 | +# software distributed under the License is distributed on an |
| 14 | +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY |
| 15 | +# KIND, either express or implied. See the License for the |
| 16 | +# specific language governing permissions and limitations |
| 17 | +# under the License. |
| 18 | +# |
| 19 | + |
| 20 | +from mnist_cnn import * |
| 21 | +import multiprocessing |
| 22 | +import sys |
| 23 | + |
| 24 | +if __name__ == '__main__': |
| 25 | + |
| 26 | + # Generate a NCCL ID to be used for collective communication |
| 27 | + nccl_id = singa.NcclIdHolder() |
| 28 | + |
| 29 | + # Number of GPUs to be used |
| 30 | + world_size = int(sys.argv[1]) |
| 31 | + |
| 32 | + process = [] |
| 33 | + for local_rank in range(0, world_size): |
| 34 | + process.append( |
| 35 | + multiprocessing.Process(target=train_mnist_cnn, |
| 36 | + args=(True, local_rank, world_size, nccl_id))) |
| 37 | + |
| 38 | + for p in process: |
| 39 | + p.start() |
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