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.

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

[minor] support multi-node training #389

Merged
merged 2 commits into from
Dec 2, 2024
Merged
Show file tree
Hide file tree
Changes from all commits
Commits
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
11 changes: 10 additions & 1 deletion examples/cnceleb/v2/run.sh
Original file line number Diff line number Diff line change
Expand Up @@ -7,9 +7,16 @@

. ./path.sh || exit 1

# multi-node + multi-gpus:
# bash run.sh --stage 3 --stop-stage 3 --HOST_NODE_ADDR "xxx.xxx.xxx.xxx:port" --num_nodes num_node

stage=-1
stop_stage=-1

HOST_NODE_ADDR="localhost:29400"
num_nodes=1
job_id=2024

data=data
data_type="shard" # shard/raw

Expand Down Expand Up @@ -57,7 +64,9 @@ fi
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
echo "Start training ..."
num_gpus=$(echo $gpus | awk -F ',' '{print NF}')
torchrun --standalone --nnodes=1 --nproc_per_node=$num_gpus \
echo "$0: num_nodes is $num_nodes, proc_per_node is $num_gpus"
torchrun --nnodes=$num_nodes --nproc_per_node=$num_gpus \
--rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint=$HOST_NODE_ADDR \
wespeaker/bin/train.py --config $config \
--exp_dir ${exp_dir} \
--gpus $gpus \
Expand Down
8 changes: 7 additions & 1 deletion examples/cnceleb/v3_finetune/run.sh
Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,10 @@
stage=-1
stop_stage=-1

HOST_NODE_ADDR="localhost:29400"
num_nodes=1
job_id=2024

data=data
data_type="shard" # shard/raw

Expand Down Expand Up @@ -60,7 +64,9 @@ fi
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
echo "Start training ..."
num_gpus=$(echo $gpus | awk -F ',' '{print NF}')
torchrun --standalone --nnodes=1 --nproc_per_node=$num_gpus \
echo "$0: num_nodes is $num_nodes, proc_per_node is $num_gpus"
torchrun --nnodes=$num_nodes --nproc_per_node=$num_gpus \
--rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint=$HOST_NODE_ADDR \
wespeaker/bin/train.py --config $config \
--exp_dir ${exp_dir} \
--gpus $gpus \
Expand Down
8 changes: 7 additions & 1 deletion examples/sre/v2/run.sh
Original file line number Diff line number Diff line change
Expand Up @@ -9,6 +9,10 @@
stage=-1
stop_stage=-1

HOST_NODE_ADDR="localhost:29400"
num_nodes=1
job_id=2024

# the sre data should be prepared in kaldi format and stored in the following directory
# only wav.scp, utt2spk and spk2utt files are needed
sre_data_dir=sre_data_dir
Expand Down Expand Up @@ -65,7 +69,9 @@ fi
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
echo "Start training ..."
num_gpus=$(echo $gpus | awk -F ',' '{print NF}')
torchrun --standalone --nnodes=1 --nproc_per_node=$num_gpus \
echo "$0: num_nodes is $num_nodes, proc_per_node is $num_gpus"
torchrun --nnodes=$num_nodes --nproc_per_node=$num_gpus \
--rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint=$HOST_NODE_ADDR \
wespeaker/bin/train.py --config $config \
--exp_dir ${exp_dir} \
--gpus $gpus \
Expand Down
10 changes: 7 additions & 3 deletions examples/sre/v3/run.sh
Original file line number Diff line number Diff line change
Expand Up @@ -22,6 +22,10 @@
stage=1
stop_stage=1

HOST_NODE_ADDR="localhost:29400"
num_nodes=1
job_id=2024

data=data
data_type="shard" # shard/raw

Expand Down Expand Up @@ -194,9 +198,9 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
else
num_gpus=$(echo $gpus | awk -F ',' '{print NF}')
fi
echo "Using $num_gpus_train GPUs: $gpus"
#torchrun --standalone --nnodes=1 --nproc_per_node=$num_gpus_train \ # The below is to prevent problems if many jobs run on the same machine
torchrun --rdzv_backend=c10d --rdzv_endpoint=$(hostname):$((RANDOM)) --nnodes=1 --nproc_per_node=$num_gpus_train \
echo "$0: num_nodes is $num_nodes, proc_per_node is $num_gpus"
torchrun --nnodes=$num_nodes --nproc_per_node=$num_gpus \
--rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint=$HOST_NODE_ADDR \
wespeaker/bin/train.py --config $config \
--exp_dir ${exp_dir} \
--gpus $gpus \
Expand Down
12 changes: 10 additions & 2 deletions examples/voxceleb/v1/Whisper-PMFA/run.sh
Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,10 @@
stage=-1
stop_stage=-1

HOST_NODE_ADDR="localhost:29400"
num_nodes=1
job_id=2024

data=data
data_type="raw" # shard/raw
model=whisper_PMFA_large_v2
Expand Down Expand Up @@ -57,7 +61,9 @@ if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
echo "Start training with frozen whisper parameter..."
config=conf/whisper_PMFA_stage0.yaml
num_gpus=$(echo $gpus | awk -F ',' '{print NF}')
torchrun --standalone --nnodes=1 --nproc_per_node=$num_gpus \
echo "$0: num_nodes is $num_nodes, proc_per_node is $num_gpus"
torchrun --nnodes=$num_nodes --nproc_per_node=$num_gpus \
--rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint=$HOST_NODE_ADDR \
wespeaker/bin/train.py --config $config \
--exp_dir ${exp_dir} \
--gpus $gpus \
Expand All @@ -84,7 +90,9 @@ if [ ${stage} -le 4 ] && [ ${stop_stage} -ge 4 ]; then
config=conf/whisper_PMFA_stage1.yaml
num_gpus=$(echo $gpus | awk -F ',' '{print NF}')
checkpoint=${exp_dir}/models/model_4.pt
torchrun --standalone --nnodes=1 --nproc_per_node=$num_gpus \
echo "$0: num_nodes is $num_nodes, proc_per_node is $num_gpus"
torchrun --nnodes=$num_nodes --nproc_per_node=$num_gpus \
--rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint=$HOST_NODE_ADDR \
wespeaker/bin/train.py --config $config \
--exp_dir ${exp_dir} \
--gpus $gpus \
Expand Down
11 changes: 10 additions & 1 deletion examples/voxceleb/v2/run.sh
Original file line number Diff line number Diff line change
Expand Up @@ -5,9 +5,16 @@

. ./path.sh || exit 1

# multi-node + multi-gpus:
# bash run.sh --stage 3 --stop-stage 3 --HOST_NODE_ADDR "xxx.xxx.xxx.xxx:port" --num_nodes num_node

stage=-1
stop_stage=-1

HOST_NODE_ADDR="localhost:29400"
num_nodes=1
job_id=2024

data=data
data_type="shard" # shard/raw

Expand Down Expand Up @@ -55,7 +62,9 @@ fi
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
echo "Start training ..."
num_gpus=$(echo $gpus | awk -F ',' '{print NF}')
torchrun --master_addr=localhost --master_port=29401 --nnodes=1 --nproc_per_node=$num_gpus \
echo "$0: num_nodes is $num_nodes, proc_per_node is $num_gpus"
torchrun --nnodes=$num_nodes --nproc_per_node=$num_gpus \
--rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint=$HOST_NODE_ADDR \
wespeaker/bin/train.py --config $config \
--exp_dir ${exp_dir} \
--gpus $gpus \
Expand Down
8 changes: 7 additions & 1 deletion examples/voxceleb/v2/run_wavlm.sh
Original file line number Diff line number Diff line change
Expand Up @@ -7,6 +7,10 @@
stage=-1
stop_stage=-1

HOST_NODE_ADDR="localhost:29400"
num_nodes=1
job_id=2024

data=data
data_type="shard" # shard/raw

Expand Down Expand Up @@ -57,7 +61,9 @@ fi
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
echo "Start training ..."
num_gpus=$(echo $gpus | awk -F ',' '{print NF}')
torchrun --master_addr=localhost --master_port=29401 --nnodes=1 --nproc_per_node=$num_gpus \
echo "$0: num_nodes is $num_nodes, proc_per_node is $num_gpus"
torchrun --nnodes=$num_nodes --nproc_per_node=$num_gpus \
--rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint=$HOST_NODE_ADDR \
wespeaker/bin/train.py --config $config \
--exp_dir ${exp_dir} \
--gpus $gpus \
Expand Down
8 changes: 7 additions & 1 deletion examples/voxceleb/v2_deprecated/run.sh
Original file line number Diff line number Diff line change
Expand Up @@ -8,6 +8,10 @@
stage=-1
stop_stage=-1

HOST_NODE_ADDR="localhost:29400"
num_nodes=1
job_id=2024

config=conf/resnet.yaml
exp_dir=exp/ResNet34-TSTP-emb256-fbank80-num_frms200-aug0.6-spTrue-saFalse-ArcMargin-SGD-epoch150
gpus="[0,1]"
Expand All @@ -28,7 +32,9 @@ fi
if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
echo "Start training ..."
num_gpus=$(echo $gpus | awk -F ',' '{print NF}')
torchrun --standalone --nnodes=1 --nproc_per_node=$num_gpus \
echo "$0: num_nodes is $num_nodes, proc_per_node is $num_gpus"
torchrun --nnodes=$num_nodes --nproc_per_node=$num_gpus \
--rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint=$HOST_NODE_ADDR \
wespeaker/bin/train_deprecated.py --config $config \
--exp_dir ${exp_dir} \
--gpus $gpus \
Expand Down
8 changes: 7 additions & 1 deletion examples/voxceleb/v3/dino/run.sh
Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,10 @@
stage=-1
stop_stage=-1

HOST_NODE_ADDR="localhost:29400"
num_nodes=1
job_id=2024

data=data
data_type="shard" # shard/raw

Expand Down Expand Up @@ -54,7 +58,9 @@ fi
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
echo "Start training ..."
num_gpus=$(echo $gpus | awk -F ',' '{print NF}')
torchrun --master_addr=localhost --master_port=16888 --nnodes=1 --nproc_per_node=$num_gpus \
echo "$0: num_nodes is $num_nodes, proc_per_node is $num_gpus"
torchrun --nnodes=$num_nodes --nproc_per_node=$num_gpus \
--rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint=$HOST_NODE_ADDR \
wespeaker/ssl/bin/train_dino.py --config $config \
--exp_dir ${exp_dir} \
--gpus $gpus \
Expand Down
8 changes: 7 additions & 1 deletion examples/voxceleb/v3/moco/run.sh
Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,10 @@
stage=-1
stop_stage=-1

HOST_NODE_ADDR="localhost:29400"
num_nodes=1
job_id=2024

data=data
data_type="shard" # shard/raw

Expand Down Expand Up @@ -54,7 +58,9 @@ fi
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
echo "Start training ..."
num_gpus=$(echo $gpus | awk -F ',' '{print NF}')
torchrun --master_addr=localhost --master_port=16888 --nnodes=1 --nproc_per_node=$num_gpus \
echo "$0: num_nodes is $num_nodes, proc_per_node is $num_gpus"
torchrun --nnodes=$num_nodes --nproc_per_node=$num_gpus \
--rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint=$HOST_NODE_ADDR \
wespeaker/ssl/bin/train_contrastive.py --config $config \
--exp_dir ${exp_dir} \
--gpus $gpus \
Expand Down
8 changes: 7 additions & 1 deletion examples/voxceleb/v3/simclr/run.sh
Original file line number Diff line number Diff line change
Expand Up @@ -10,6 +10,10 @@
stage=-1
stop_stage=-1

HOST_NODE_ADDR="localhost:29400"
num_nodes=1
job_id=2024

data=data
data_type="shard" # shard/raw

Expand Down Expand Up @@ -54,7 +58,9 @@ fi
if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then
echo "Start training ..."
num_gpus=$(echo $gpus | awk -F ',' '{print NF}')
torchrun --master_addr=localhost --master_port=16888 --nnodes=1 --nproc_per_node=$num_gpus \
echo "$0: num_nodes is $num_nodes, proc_per_node is $num_gpus"
torchrun --nnodes=$num_nodes --nproc_per_node=$num_gpus \
--rdzv_id=$job_id --rdzv_backend="c10d" --rdzv_endpoint=$HOST_NODE_ADDR \
wespeaker/ssl/bin/train_contrastive.py --config $config \
--exp_dir ${exp_dir} \
--gpus $gpus \
Expand Down
5 changes: 3 additions & 2 deletions wespeaker/bin/train.py
Original file line number Diff line number Diff line change
Expand Up @@ -46,9 +46,10 @@ def train(config='conf/config.yaml', **kwargs):
configs = parse_config_or_kwargs(config, **kwargs)
checkpoint = configs.get('checkpoint', None)
# dist configs
rank = int(os.environ['RANK'])
local_rank = int(os.environ.get('LOCAL_RANK', 0))
rank = int(os.environ.get('RANK', 0))
world_size = int(os.environ['WORLD_SIZE'])
gpu = int(configs['gpus'][rank])
gpu = int(configs['gpus'][local_rank])
torch.cuda.set_device(gpu)
dist.init_process_group(backend='nccl')

Expand Down
Loading