52 lines
1.3 KiB
Bash
52 lines
1.3 KiB
Bash
#!/bin/bash
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set -e
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DATASET_DIR='data/wmt16_de_en'
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REPO_DIR='/workspace/gnmt'
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REFERENCE_FILE=$REPO_DIR/scripts/tests/reference_training_performance
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MATH=$1
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if [[ ${MATH} != "fp16" && ${MATH} != "fp32" ]]; then
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echo "Unsupported option for MATH, use either 'fp16' or 'fp32'"
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exit 1
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fi
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PERF_TOLERANCE=0.9
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GPU_NAME=`nvidia-smi --query-gpu=gpu_name --format=csv,noheader |uniq`
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echo 'GPU_NAME:' ${GPU_NAME}
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GPU_COUNT=`nvidia-smi --query-gpu=gpu_name --format=csv,noheader |wc -l`
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echo 'GPU_COUNT:' ${GPU_COUNT}
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if [[ ${GPU_COUNT} -eq 1 || ${GPU_COUNT} -eq 2 || ${GPU_COUNT} -eq 4 || ${GPU_COUNT} -eq 8 ]]; then
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GLOBAL_BATCH_SIZE=1024
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elif [ ${GPU_COUNT} -eq 16 ]; then
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GLOBAL_BATCH_SIZE=2048
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else
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echo "Unsupported number of GPUs"
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exit 1
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fi
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REFERENCE_PERF=`grep "${MATH},${GPU_COUNT},${GPU_NAME}" \
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${REFERENCE_FILE} | \cut -f 4 -d ','`
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if [ -z "${REFERENCE_PERF}" ]; then
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echo "WARNING: COULD NOT FIND REFERENCE PERFORMANCE FOR EXECUTED CONFIG"
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TARGET_PERF=''
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else
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PERF_THRESHOLD=$(awk 'BEGIN {print ('${REFERENCE_PERF}' * '${PERF_TOLERANCE}')}')
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TARGET_PERF='--target-perf '${PERF_THRESHOLD}
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fi
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cd $REPO_DIR
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python3 -m launch train.py \
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--dataset-dir $DATASET_DIR \
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--seed 2 \
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--epochs 1 \
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--remain-steps 1.0 \
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--target-bleu 18.00 \
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--math ${MATH} \
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--train-global-batch-size ${GLOBAL_BATCH_SIZE} \
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${TARGET_PERF}
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