104 lines
3.6 KiB
Bash
Executable file
104 lines
3.6 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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echo "Container nvidia build = " $NVIDIA_BUILD_ID
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train_batch_size_phase1=${1:-64}
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train_batch_size_phase2=${2:-8}
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eval_batch_size=${3:-8}
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learning_rate_phase1=${4:-"7.5e-4"}
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learning_rate_phase2=${5:-"5e-4"}
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precision=${6:-"fp16"}
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use_xla=${7:-"true"}
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num_gpus=${8:-2}
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warmup_steps_phase1=${9:-"2000"}
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warmup_steps_phase2=${10:-"200"}
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train_steps=${11:-7820}
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save_checkpoints_steps=${12:-100}
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num_accumulation_steps_phase1=${13:-128}
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num_accumulation_steps_phase2=${14:-512}
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bert_model=${15:-"large"}
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DATA_DIR=${DATA_DIR:-data}
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#Edit to save logs & checkpoints in a different directory
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RESULTS_DIR=${RESULTS_DIR:-/results}
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if [ "$bert_model" = "large" ] ; then
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export BERT_CONFIG=data/download/google_pretrained_weights/uncased_L-24_H-1024_A-16/bert_config.json
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else
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export BERT_CONFIG=data/download/google_pretrained_weights/uncased_L-12_H-768_A-12/bert_config.json
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fi
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PREC=""
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if [ "$precision" = "fp16" ] ; then
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PREC="--use_fp16"
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elif [ "$precision" = "fp32" ] ; then
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PREC=""
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elif [ "$precision" = "manual_fp16" ] ; then
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PREC="--manual_fp16"
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else
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echo "Unknown <precision> argument"
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exit -2
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fi
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if [ "$use_xla" = "true" ] ; then
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PREC="$PREC --use_xla"
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echo "XLA activated"
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fi
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mpi=""
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if [ $num_gpus -gt 1 ] ; then
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mpi="mpiexec --allow-run-as-root -np $num_gpus --bind-to socket"
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fi
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#PHASE 1
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train_steps_phase1=$(expr $train_steps \* 9 \/ 10) #Phase 1 is 10% of training
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gbs_phase1=$(expr $train_batch_size_phase1 \* $num_accumulation_steps_phase1)
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seq_len=128
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max_pred_per_seq=20
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RESULTS_DIR_PHASE1=${RESULTS_DIR}/phase_1
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mkdir -m 777 -p $RESULTS_DIR_PHASE1
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INPUT_FILES="$DATA_DIR/tfrecord/lower_case_1_seq_len_${seq_len}_max_pred_${max_pred_per_seq}_masked_lm_prob_0.15_random_seed_12345_dupe_factor_5_shard_1472_test_split_10/books_wiki_en_corpus/training"
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EVAL_FILES="$DATA_DIR/tfrecord/lower_case_1_seq_len_${seq_len}_max_pred_${max_pred_per_seq}_masked_lm_prob_0.15_random_seed_12345_dupe_factor_5_shard_1472_test_split_10/books_wiki_en_corpus/test"
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#Check if all necessary files are available before training
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for DIR_or_file in $DATA_DIR $RESULTS_DIR_PHASE1 $BERT_CONFIG; do
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if [ ! -d "$DIR_or_file" ] && [ ! -f "$DIR_or_file" ]; then
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echo "Error! $DIR_or_file directory missing. Please mount correctly"
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exit -1
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fi
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done
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$mpi python /workspace/bert/run_pretraining.py \
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--input_files_dir=$INPUT_FILES \
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--eval_files_dir=$EVAL_FILES \
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--output_dir=$RESULTS_DIR_PHASE1 \
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--bert_config_file=$BERT_CONFIG \
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--do_train=True \
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--do_eval=True \
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--train_batch_size=$train_batch_size_phase1 \
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--eval_batch_size=$eval_batch_size \
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--max_seq_length=$seq_len \
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--max_predictions_per_seq=$max_pred_per_seq \
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--num_train_steps=$train_steps_phase1 \
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--num_accumulation_steps=$num_accumulation_steps_phase1 \
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--num_warmup_steps=$warmup_steps_phase1 \
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--save_checkpoints_steps=$save_checkpoints_steps \
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--learning_rate=$learning_rate_phase1 \
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--horovod $PREC \
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--allreduce_post_accumulation=True
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