24 lines
No EOL
1.9 KiB
Bash
24 lines
No EOL
1.9 KiB
Bash
# Copyright (c) 2020, NVIDIA CORPORATION. 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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# This script launches U-Net run in FP32 on 8 GPU and runs 5-fold cross-validation training for 6400 iterations.
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# Usage:
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# bash unet_TRAIN_FP32_1GPU.sh <path to dataset> <path to results directory> <batch size>
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horovodrun -np 1 python main.py --data_dir $1 --model_dir $2 --log_every 100 --max_steps 6400 --batch_size $3 --exec_mode train_and_evaluate --crossvalidation_idx 0 --augment --xla > $2/log_FP32_1GPU_fold0.txt
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horovodrun -np 1 python main.py --data_dir $1 --model_dir $2 --log_every 100 --max_steps 6400 --batch_size $3 --exec_mode train_and_evaluate --crossvalidation_idx 1 --augment --xla > $2/log_FP32_1GPU_fold1.txt
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horovodrun -np 1 python main.py --data_dir $1 --model_dir $2 --log_every 100 --max_steps 6400 --batch_size $3 --exec_mode train_and_evaluate --crossvalidation_idx 2 --augment --xla > $2/log_FP32_1GPU_fold2.txt
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horovodrun -np 1 python main.py --data_dir $1 --model_dir $2 --log_every 100 --max_steps 6400 --batch_size $3 --exec_mode train_and_evaluate --crossvalidation_idx 3 --augment --xla > $2/log_FP32_1GPU_fold3.txt
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horovodrun -np 1 python main.py --data_dir $1 --model_dir $2 --log_every 100 --max_steps 6400 --batch_size $3 --exec_mode train_and_evaluate --crossvalidation_idx 4 --augment --xla > $2/log_FP32_1GPU_fold4.txt
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python utils/parse_results.py --model_dir $2 --exec_mode convergence --env FP32_1GPU |