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run_standalone_train.sh 1.7 kB

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  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 [ $# != 1 ] && [ $# != 2 ]
  17. then
  18. echo "Usage: sh run_standalone_train.sh [DATASET_PATH] [PRETRAINED_PATH](optional)"
  19. exit 1
  20. fi
  21. get_real_path(){
  22. if [ "${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. echo $PATH1
  30. if [ $# == 2 ]
  31. then
  32. PATH2=$(get_real_path $2)
  33. echo $PATH2
  34. fi
  35. if [ ! -d $PATH1 ]
  36. then
  37. echo "error: DATASET_PATH=$PATH1 is not a directory"
  38. exit 1
  39. fi
  40. if [ $# == 2 ] && [ ! -f $PATH2 ]
  41. then
  42. echo "error: PRETRAINED_PATH=$PATH2 is not a file"
  43. exit 1
  44. fi
  45. ulimit -u unlimited
  46. export DEVICE_NUM=1
  47. export DEVICE_ID=0
  48. export RANK_ID=0
  49. export RANK_SIZE=1
  50. if [ -d "train" ];
  51. then
  52. rm -rf ./train
  53. fi
  54. mkdir ./train
  55. cp ../*.py ./train
  56. cp *.sh ./train
  57. cp -r ../src ./train
  58. cd ./train || exit
  59. echo "start training for device $DEVICE_ID"
  60. env > env.log
  61. if [ $# == 1 ]
  62. then
  63. python train.py --do_train=True --dataset_path=$PATH1 &> log &
  64. fi
  65. if [ $# == 2 ]
  66. then
  67. python train.py --do_train=True --dataset_path=$PATH1 --pre_trained=$PATH2 &> log &
  68. fi
  69. cd ..