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74 lines
2.5 KiB
74 lines
2.5 KiB
#!/bin/bash
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# Copyright 2020 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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echo "=============================================================================================================="
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echo "Please run the scipt as: "
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echo "bash run_distribute_pretrain.sh DEVICE_NUM EPOCH_SIZE DATA_DIR SCHEMA_DIR MINDSPORE_HCCL_CONFIG_PATH"
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echo "for example: bash run_distribute_pretrain.sh 8 40 /path/zh-wiki/ /path/Schema.json /path/hccl.json"
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echo "It is better to use absolute path."
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echo "=============================================================================================================="
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EPOCH_SIZE=$2
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DATA_DIR=$3
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SCHEMA_DIR=$4
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export MINDSPORE_HCCL_CONFIG_PATH=$5
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export RANK_TABLE_FILE=$5
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export RANK_SIZE=$1
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cores=`cat /proc/cpuinfo|grep "processor" |wc -l`
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echo "the number of logical core" $cores
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avg_core_per_rank=`expr $cores \/ $RANK_SIZE`
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core_gap=`expr $avg_core_per_rank \- 1`
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echo "avg_core_per_rank" $avg_core_per_rank
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echo "core_gap" $core_gap
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for((i=0;i<RANK_SIZE;i++))
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do
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start=`expr $i \* $avg_core_per_rank`
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export DEVICE_ID=$i
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export RANK_ID=$i
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export DEPLOY_MODE=0
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export GE_USE_STATIC_MEMORY=1
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end=`expr $start \+ $core_gap`
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cmdopt=$start"-"$end
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rm -rf LOG$i
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mkdir ./LOG$i
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cp *.py ./LOG$i
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cd ./LOG$i || exit
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echo "start training for rank $i, device $DEVICE_ID"
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mkdir -p ms_log
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CUR_DIR=`pwd`
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export GLOG_log_dir=${CUR_DIR}/ms_log
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export GLOG_logtostderr=0
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env > env.log
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taskset -c $cmdopt python ../run_pretrain.py \
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--distribute="true" \
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--epoch_size=$EPOCH_SIZE \
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--device_id=$DEVICE_ID \
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--device_num=$RANK_SIZE \
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--enable_save_ckpt="true" \
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--enable_lossscale="true" \
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--do_shuffle="true" \
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--enable_data_sink="true" \
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--data_sink_steps=100 \
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--load_checkpoint_path="" \
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--save_checkpoint_steps=10000 \
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--save_checkpoint_num=1 \
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--data_dir=$DATA_DIR \
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--schema_dir=$SCHEMA_DIR > log.txt 2>&1 &
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cd ../
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done
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