26 lines
1.9 KiB
Bash
26 lines
1.9 KiB
Bash
# Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
|
|
#
|
|
# Licensed under the Apache License, Version 2.0 (the "License");
|
|
# you may not use this file except in compliance with the License.
|
|
# You may obtain a copy of the License at
|
|
#
|
|
# http://www.apache.org/licenses/LICENSE-2.0
|
|
#
|
|
# Unless required by applicable law or agreed to in writing, software
|
|
# distributed under the License is distributed on an "AS IS" BASIS,
|
|
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
# See the License for the specific language governing permissions and
|
|
# limitations under the License.
|
|
|
|
# This script launches 3D-UNet run 5-fold cross-validation FP32 training for 16000 iterations each.
|
|
# Usage:
|
|
# bash examples/unet3d_train_full.sh <number/of/gpus> <path/to/dataset> <path/to/results/directory> <batch/size>
|
|
|
|
horovodrun -np $1 python main.py --data_dir $2 --model_dir $3 --log_dir $3/log.json --exec_mode train_and_evaluate --max_steps 16000 --augment --batch_size $4 --fold 0 --use_xla > $3/log_FP32_$1GPU_fold0.txt
|
|
horovodrun -np $1 python main.py --data_dir $2 --model_dir $3 --log_dir $3/log.json --exec_mode train_and_evaluate --max_steps 16000 --augment --batch_size $4 --fold 1 --use_xla > $3/log_FP32_$1GPU_fold1.txt
|
|
horovodrun -np $1 python main.py --data_dir $2 --model_dir $3 --log_dir $3/log.json --exec_mode train_and_evaluate --max_steps 16000 --augment --batch_size $4 --fold 2 --use_xla > $3/log_FP32_$1GPU_fold2.txt
|
|
horovodrun -np $1 python main.py --data_dir $2 --model_dir $3 --log_dir $3/log.json --exec_mode train_and_evaluate --max_steps 16000 --augment --batch_size $4 --fold 3 --use_xla > $3/log_FP32_$1GPU_fold3.txt
|
|
horovodrun -np $1 python main.py --data_dir $2 --model_dir $3 --log_dir $3/log.json --exec_mode train_and_evaluate --max_steps 16000 --augment --batch_size $4 --fold 4 --use_xla > $3/log_FP32_$1GPU_fold4.txt
|
|
|
|
python runtime/parse_results.py --model_dir $3 --env FP32_$1GPU
|