forked from mindspore-Ecosystem/mindspore
37 lines
1.3 KiB
Bash
Executable File
37 lines
1.3 KiB
Bash
Executable File
#!/bin/bash
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# Copyright 2019 Huawei Technologies Co., Ltd
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# ============================================================================
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set -e
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BASE_PATH=$(cd "$(dirname $0)"; pwd)
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export DEVICE_NUM=2
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export RANK_SIZE=$DEVICE_NUM
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ulimit -n 65535
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export DISTRIBUTION_FILE=$BASE_PATH/tdt${DEVICE_NUM}p/tdt_
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export MINDSPORE_HCCL_CONFIG_PATH=$BASE_PATH/hccl_${DEVICE_NUM}p.json
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for((i=0;i<$DEVICE_NUM;i++))
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do
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rm -rf ./dataparallel$i
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mkdir ./dataparallel$i
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cp *.py ./dataparallel$i
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cp -r kernel_meta ./dataparallel$i
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cd ./dataparallel$i
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export RANK_ID=$i
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export DEVICE_ID=$i
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echo "start training for device $i"
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env > env$i.log
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python resnet_cifar.py --run_distribute=1 --device_num=$DEVICE_NUM --epoch_size=10 >log 2>&1 &
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cd ../
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done |