118 lines
3.7 KiB
Bash
Executable file
118 lines
3.7 KiB
Bash
Executable file
#!/bin/bash
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# Copyright (c) 2019 NVIDIA CORPORATION. All rights reserved.
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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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bert_model=${1:-"large"}
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use_xla=${2:-"true"}
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num_gpu=${3:-"8"}
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task=${4:-"squad"}
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if [ "$bert_model" = "large" ] ; then
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export BERT_DIR=data/download/google_pretrained_weights/uncased_L-24_H-1024_A-16
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else
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export BERT_DIR=data/download/google_pretrained_weights/uncased_L-12_H-768_A-12
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fi
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echo "BERT directory set as " $BERT_DIR
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init_checkpoint="$BERT_DIR/bert_model.ckpt"
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learning_rate=5e-6
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#Edit to save logs & checkpoints in a different directory
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RESULTS_DIR=/results
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if [ ! -d "$RESULTS_DIR" ] ; then
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echo "Error! $RESULTS_DIR directory missing."
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exit -1
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fi
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echo "Results directory set as " $RESULTS_DIR
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if [ "$use_xla" = "true" ] ; then
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use_xla_tag="--use_xla"
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else
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use_xla_tag=""
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fi
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if [ $num_gpu -gt 1 ] ; then
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mpi_command="mpirun -np $num_gpu -H localhost:$num_gpu \
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--allow-run-as-root -bind-to none -map-by slot \
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-x NCCL_DEBUG=INFO \
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-x LD_LIBRARY_PATH \
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-x PATH -mca pml ob1 -mca btl ^openib"
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use_hvd="--horovod"
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else
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mpi_command=""
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use_hvd=""
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fi
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LOGFILE="${RESULTS_DIR}/${task}_training_benchmark_bert_${bert_model}_gpu_${num_gpu}.log"
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if [ "$task" = "squad" ] ; then
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export SQUAD_DIR=data/download/squad/v1.1
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epochs="2.0"
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echo "Squad directory set as " $SQUAD_DIR
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echo "Training performance benchmarking for BERT $bert_model from $BERT_DIR" >> $LOGFILE
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echo "Precision Sequence Length Batch size Performance(sent/sec)" >> $LOGFILE
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for seq_len in 128 384; do
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if [ "$seq_len" = "128" ] ; then
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doc_stride=64
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else
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doc_stride=128
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fi
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for batch_size in 1 2 4; do
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for precision in fp16 fp32; do
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res_dir=${RESULTS_DIR}/bert_${bert_model}_gpu_${num_gpu}_sl_${seq_len}_prec_${precision}_bs_${batch_size}
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mkdir -p $res_dir
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tmp_file="${res_dir}/${task}_training_benchmark.log"
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if [ "$precision" = "fp16" ] ; then
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echo "fp16 activated!"
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use_fp16="--use_fp16"
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else
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echo "fp32 activated!"
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use_fp16=""
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fi
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$mpi_command python run_squad.py \
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--vocab_file=$BERT_DIR/vocab.txt \
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--bert_config_file=$BERT_DIR/bert_config.json \
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--init_checkpoint=$init_checkpoint \
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--do_train=True \
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--train_file=$SQUAD_DIR/train-v1.1.json \
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--train_batch_size=$batch_size \
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--learning_rate=$learning_rate \
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--num_train_epochs=$epochs \
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--max_seq_length=$seq_len \
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--doc_stride=$doc_stride \
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--output_dir=$res_dir \
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"$use_hvd" \
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"$use_fp16" \
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$use_xla_tag |& tee $tmp_file
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perf=`cat $tmp_file | grep -F 'Throughput Average (sentences/sec) =' | head -1 | awk -F'= ' '{print $2}' | awk -F' sen' '{print $1}'`
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echo "$precision $seq_len $batch_size $perf" >> $LOGFILE
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done
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done
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done
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else
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echo "Benchmarking for " $task "currently not supported. Sorry!"
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fi |