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test resnet50 fp16 fp32 correct #142

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22d8d7b
add scripts
ouyangyu Sep 28, 2020
7142e2f
add env
ouyangyu Sep 28, 2020
d45ad7f
fp32 channel_last false
ouyangyu Sep 29, 2020
5e0054e
fp32 batch size
ouyangyu Sep 29, 2020
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52 changes: 52 additions & 0 deletions Classification/cnns/train_fp16.sh
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Original file line number Diff line number Diff line change
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rm -rf core.*
rm -rf ./output/snapshots/*

if [ -n "$1" ]; then
NUM_EPOCH=$1
else
NUM_EPOCH=50
fi
echo NUM_EPOCH=$NUM_EPOCH

# training with imagenet
if [ -n "$2" ]; then
DATA_ROOT=$2
else
DATA_ROOT=/data/imagenet/ofrecord
fi
echo DATA_ROOT=$DATA_ROOT

LOG_FOLDER=../logs
mkdir -p $LOG_FOLDER
LOGFILE=$LOG_FOLDER/resnet_training.log

export PYTHONUNBUFFERED=1
echo PYTHONUNBUFFERED=$PYTHONUNBUFFERED
export NCCL_LAUNCH_MODE=PARALLEL
echo NCCL_LAUNCH_MODE=$NCCL_LAUNCH_MODE

python3 of_cnn_train_val.py \
--train_data_dir=$DATA_ROOT/train \
--train_data_part_num=256 \
--val_data_dir=$DATA_ROOT/validation \
--val_data_part_num=256 \
--num_nodes=1 \
--gpu_num_per_node=8 \
--optimizer="sgd" \
--momentum=0.875 \
--label_smoothing=0.1 \
--learning_rate=1.024 \
--loss_print_every_n_iter=100 \
--batch_size_per_device=128 \
--val_batch_size_per_device=50 \
--use_fp16 \
--channel_last=True \
--pad_output \
--fuse_bn_relu=True \
--fuse_bn_add_relu=True \
--nccl_fusion_threshold_mb=16 \
--nccl_fusion_max_ops=24 \
--num_epoch=$NUM_EPOCH \
--model="resnet50" 2>&1 | tee ${LOGFILE}

echo "Writting log to ${LOGFILE}"
50 changes: 50 additions & 0 deletions Classification/cnns/train_fp32.sh
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,50 @@
rm -rf core.*
rm -rf ./output/snapshots/*

if [ -n "$1" ]; then
NUM_EPOCH=$1
else
NUM_EPOCH=50
fi
echo NUM_EPOCH=$NUM_EPOCH

# training with imagenet
if [ -n "$2" ]; then
DATA_ROOT=$2
else
DATA_ROOT=/data/imagenet/ofrecord
fi
echo DATA_ROOT=$DATA_ROOT

LOG_FOLDER=../logs
mkdir -p $LOG_FOLDER
LOGFILE=$LOG_FOLDER/resnet_training.log

export PYTHONUNBUFFERED=1
echo PYTHONUNBUFFERED=$PYTHONUNBUFFERED
export NCCL_LAUNCH_MODE=PARALLEL
echo NCCL_LAUNCH_MODE=$NCCL_LAUNCH_MODE

python3 of_cnn_train_val.py \
--train_data_dir=$DATA_ROOT/train \
--train_data_part_num=256 \
--val_data_dir=$DATA_ROOT/validation \
--val_data_part_num=256 \
--num_nodes=1 \
--gpu_num_per_node=8 \
--optimizer="sgd" \
--momentum=0.875 \
--label_smoothing=0.1 \
--learning_rate=0.512 \
--loss_print_every_n_iter=100 \
--batch_size_per_device=64 \
--val_batch_size_per_device=50 \
--channel_last=False \
--fuse_bn_relu=True \
--fuse_bn_add_relu=True \
--nccl_fusion_threshold_mb=16 \
--nccl_fusion_max_ops=24 \
--num_epoch=$NUM_EPOCH \
--model="resnet50" 2>&1 | tee ${LOGFILE}

echo "Writting log to ${LOGFILE}"