You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

run_distribute_train.sh 1.8 kB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566
  1. #!/bin/bash
  2. # Copyright 2020 Huawei Technologies Co., Ltd
  3. #
  4. # Licensed under the Apache License, Version 2.0 (the "License");
  5. # you may not use this file except in compliance with the License.
  6. # You may obtain a copy of the License at
  7. #
  8. # http://www.apache.org/licenses/LICENSE-2.0
  9. #
  10. # Unless required by applicable law or agreed to in writing, software
  11. # distributed under the License is distributed on an "AS IS" BASIS,
  12. # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  13. # See the License for the specific language governing permissions and
  14. # limitations under the License.
  15. # ============================================================================
  16. if [ $# != 2 ]
  17. then
  18. echo "Usage: sh run_distribute_train.sh [MINDSPORE_HCCL_CONFIG_PATH] [DATASET_PATH]"
  19. exit 1
  20. fi
  21. get_real_path(){
  22. if [ "${1:0:1}" == "/" ]; then
  23. echo "$1"
  24. else
  25. echo "$(realpath -m $PWD/$1)"
  26. fi
  27. }
  28. PATH1=$(get_real_path $1)
  29. PATH2=$(get_real_path $2)
  30. echo $PATH1
  31. echo $PATH2
  32. if [ ! -f $PATH1 ]
  33. then
  34. echo "error: MINDSPORE_HCCL_CONFIG_PATH=$PATH1 is not a file"
  35. exit 1
  36. fi
  37. if [ ! -d $PATH2 ]
  38. then
  39. echo "error: DATASET_PATH=$PATH2 is not a directory"
  40. exit 1
  41. fi
  42. ulimit -u unlimited
  43. export DEVICE_NUM=8
  44. export RANK_SIZE=8
  45. export MINDSPORE_HCCL_CONFIG_PATH=$PATH1
  46. export RANK_TABLE_FILE=$PATH1
  47. for((i=0; i<${DEVICE_NUM}; i++))
  48. do
  49. export DEVICE_ID=$i
  50. export RANK_ID=$i
  51. rm -rf ./train_parallel$i
  52. mkdir ./train_parallel$i
  53. cp *.py ./train_parallel$i
  54. cp *.sh ./train_parallel$i
  55. cd ./train_parallel$i || exit
  56. echo "start training for rank $RANK_ID, device $DEVICE_ID"
  57. env > env.log
  58. python train.py --do_train=True --run_distribute=True --device_num=$DEVICE_NUM --dataset_path=$PATH2 &> log &
  59. cd ..
  60. done