55 lines
2 KiB
Bash
55 lines
2 KiB
Bash
#! /bin/bash
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# Copyright (c) 2021, 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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NUM_GPUS=$(nvidia-smi --query-gpu=name --format=csv,noheader | wc -l)
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[ $NUM_GPUS -eq 16 ] && WORKER_NUMS=(1 8 16) || WORKER_NUMS=(1 8)
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DATASETS=(electricity traffic)
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rm -r /tmp/benchmark_results
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for DATASET in ${DATASETS[@]}
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do
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for NGPU in ${WORKER_NUMS[@]}
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do
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for BATCH_SIZE in 512 1024 1536 2048 2560
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do
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for USE_AMP in --use_amp ""
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do
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for AFFINITY in "--affinity disabled" "--affinity single" "--affinity socket_unique_interleaved"
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do
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EXP_NAME="TFT_benchmark_${DATASET}_BS_${BATCH_SIZE}_${NGPU}GPU${USE_AMP}_${AFFINITY}"
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python -m torch.distributed.launch --nproc_per_node=${NGPU} train.py \
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--dataset ${DATASET} \
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--data_path /data/processed/${DATASET}_bin \
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--batch_size=${BATCH_SIZE} \
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--lr 5e-4 \
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--epochs 1 \
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--sample 100000 5000 \
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--seed 1 \
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${USE_AMP} \
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${AFFINITY} \
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--clip_grad 0.1 \
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--results /tmp/benchmark_results/${EXP_NAME}
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done
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done
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done
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done
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done
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for P in `ls /tmp/benchmark_results/`;
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do
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echo ${P}
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tail -n 1 /tmp/benchmark_results/${P}/dllogger.json
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done
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