74 lines
2.6 KiB
Bash
74 lines
2.6 KiB
Bash
#!/bin/bash
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# Copyright (c) 2018-2020, NVIDIA CORPORATION. All rights reserved.
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#
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# Permission is hereby granted, free of charge, to any person obtaining a copy
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# of this software and associated documentation files (the "Software"), to deal
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# in the Software without restriction, including without limitation the rights
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# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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# copies of the Software, and to permit persons to whom the Software is
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# furnished to do so, subject to the following conditions:
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#
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# The above copyright notice and this permission notice shall be included in all
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# copies or substantial portions of the Software.
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#
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# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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# SOFTWARE.
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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" && ${MATH} != "tf32" ]]; then
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echo "Unsupported option for MATH, use either 'fp16' or 'fp32' or 'tf32'"
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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 $REPO_DIR
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python3 -m torch.distributed.launch --nproc_per_node=${GPU_COUNT} 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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--no-eval \
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--train-max-size $((128 * ${GPU_COUNT} * 300)) \
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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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