Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

test resnet50 fp16 fp32 correct #142

Draft
wants to merge 4 commits into
base: master
Choose a base branch
from
Draft

test resnet50 fp16 fp32 correct #142

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
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
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
52 changes: 52 additions & 0 deletions Classification/cnns/train_fp16.sh
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,52 @@
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}"