wehub-resource-sync
65 lines
1.9 KiB
Bash
Executable File
65 lines
1.9 KiB
Bash
Executable File
#!/bin/bash
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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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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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set -e
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# use single node
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echo "begin test"
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RANK_MAPPING_FILE_NAME="rank_mapping_file.json"
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cat > ${RANK_MAPPING_FILE_NAME} <<EOF
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{
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"ip_ranks": [
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{
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"ip": "127.0.0.1",
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"ranks": [0,1]
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}
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]
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}
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EOF
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export FLAGS_START_PORT=35789
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distributed_args="--rank_mapping_file ${RANK_MAPPING_FILE_NAME} --enable_auto_mapping true --log_dir=testlog"
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CUDA_VISIBLE_DEVICES=0,1 python -m paddle.distributed.fleet.launch ${distributed_args} multi_process.py fleetlaunchcloud_rank_mapping
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str1="selected_gpus:0 worker_endpoints:127.0.0.1:35789,127.0.0.1:35790 trainers_num:2 current_endpoint:127.0.0.1:35789 trainer_id:0"
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str2="selected_gpus:1 worker_endpoints:127.0.0.1:35789,127.0.0.1:35790 trainers_num:2 current_endpoint:127.0.0.1:35790 trainer_id:1"
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file_0="multi_process_fleetlaunchcloud_rank_mapping.check_0.log"
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file_1="multi_process_fleetlaunchcloud_rank_mapping.check_1.log"
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echo "paddlecloud params test"
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if grep -q "$str1" "$file_0"; then
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echo "find trainer 0"
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else
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echo "not find trainer 0"
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exit -1
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fi
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if grep -q "$str2" "$file_1"; then
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echo "find trainer 1"
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else
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echo "not find trainer 1"
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exit -1
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fi
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# test async poll process
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if [ -f $file_0 ]; then
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rm $file_0
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fi
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if [ -f $file_1 ]; then
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rm $file_1
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fi
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