forked from mindspore-Ecosystem/mindspore
63 lines
2.1 KiB
Bash
63 lines
2.1 KiB
Bash
#!/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 "sh run_distribute_pretrain.sh DEVICE_NUM EPOCH_SIZE DATA_PATH MINDSPORE_HCCL_CONFIG_PATH"
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echo "for example: sh run_distribute_pretrain.sh 8 52 /path/ende-l128-mindrecord00 /path/hccl.json"
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echo "It is better to use absolute path."
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echo "=============================================================================================================="
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rm -rf run_distribute_train
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mkdir run_distribute_train
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cd run_distribute_train || exit
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EPOCH_SIZE=$2
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DATA_PATH=$3
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export MINDSPORE_HCCL_CONFIG_PATH=$4
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export RANK_TABLE_FILE=$4
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export RANK_SIZE=$1
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export HCCL_FLAG=1
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export DEPLOY_MODE=0
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for((i=0;i<RANK_SIZE;i++))
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do
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export DEVICE_ID=$i
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export RANK_ID=$i
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export GE_USE_STATIC_MEMORY=1
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mkdir helper$i
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cp -rf ../src/ ../train.py ./helper$i
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cd ./helper$i || exit
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echo "start training for rank $i, device $DEVICE_ID"
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env > env.log
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python train.py \
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--distribute="true" \
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--epoch_size=$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="false" \
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--checkpoint_path="" \
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--save_checkpoint_steps=2500 \
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--save_checkpoint_num=30 \
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--data_path=$DATA_PATH > log.txt 2>&1 &
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cd ../
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done
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cd .. |