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Merge pull request #1877 from Jackwaterveg/develop

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[ASR] Replace dist.spawn with dist.launch
pull/1880/head
Hui Zhang 3 years ago committed by GitHub
parent 5b053cde6a 8a3c88d42e
commit c23a97e242
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GPG Key ID: 4AEE18F83AFDEB23
18 changed files with 110 additions and 25 deletions
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3
demos/audio_searching/src/operations/load.py
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@ -26,7 +26,8 @@ def get_audios(path):
"""
supported_formats = [".wav", ".mp3", ".ogg", ".flac", ".m4a"]
return [
item for sublist in [[os.path.join(dir, file) for file in files]
item
for sublist in [[os.path.join(dir, file) for file in files]
for dir, _, files in list(os.walk(path))]
for item in sublist if os.path.splitext(item)[1] in supported_formats
]

9
examples/aishell/asr0/local/train.sh
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@ -20,12 +20,21 @@ if [ ${seed} != 0 ]; then
export FLAGS_cudnn_deterministic=True
fi
if [ ${ngpu} == 0 ]; then
python3 -u ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--model_type ${model_type} \
--seed ${seed}
else
python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--model_type ${model_type} \
--seed ${seed}
fi
if [ ${seed} != 0 ]; then
unset FLAGS_cudnn_deterministic

11
examples/aishell/asr1/local/train.sh
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@ -27,14 +27,25 @@ ckpt_name=$2
mkdir -p exp
if [ ${ngpu} == 0 ]; then
python3 -u ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--seed ${seed} \
--config ${config_path} \
--output exp/${ckpt_name} \
--profiler-options "${profiler_options}" \
--benchmark-batch-size ${benchmark_batch_size} \
--benchmark-max-step ${benchmark_max_step}
else
python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--seed ${seed} \
--config ${config_path} \
--output exp/${ckpt_name} \
--profiler-options "${profiler_options}" \
--benchmark-batch-size ${benchmark_batch_size} \
--benchmark-max-step ${benchmark_max_step}
fi
if [ ${seed} != 0 ]; then

8
examples/callcenter/asr1/local/train.sh
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@ -21,11 +21,19 @@ if [ ${seed} != 0 ]; then
export FLAGS_cudnn_deterministic=True
fi
if [ ${ngpu} == 0 ]; then
python3 -u ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--seed ${seed}
else
python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--seed ${seed}
fi
if [ ${seed} != 0 ]; then
unset FLAGS_cudnn_deterministic

9
examples/librispeech/asr0/local/train.sh
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@ -20,12 +20,21 @@ if [ ${seed} != 0 ]; then
export FLAGS_cudnn_deterministic=True
fi
if [ ${ngpu} == 0 ]; then
python3 -u ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--model_type ${model_type} \
--seed ${seed}
else
python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--model_type ${model_type} \
--seed ${seed}
fi
if [ ${seed} != 0 ]; then
unset FLAGS_cudnn_deterministic

8
examples/librispeech/asr1/local/train.sh
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@ -22,11 +22,19 @@ fi
# export FLAGS_cudnn_exhaustive_search=true
# export FLAGS_conv_workspace_size_limit=4000
if [ ${ngpu} == 0 ]; then
python3 -u ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--seed ${seed}
else
python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--seed ${seed}
fi
if [ ${seed} != 0 ]; then
unset FLAGS_cudnn_deterministic

9
examples/librispeech/asr2/local/train.sh
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@ -19,12 +19,21 @@ if [ ${seed} != 0 ]; then
export FLAGS_cudnn_deterministic=True
fi
if [ ${ngpu} == 0 ]; then
python3 -u ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--model-name u2_kaldi \
--config ${config_path} \
--output exp/${ckpt_name} \
--seed ${seed}
else
python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--model-name u2_kaldi \
--config ${config_path} \
--output exp/${ckpt_name} \
--seed ${seed}
fi
if [ ${seed} != 0 ]; then
unset FLAGS_cudnn_deterministic

8
examples/ted_en_zh/st0/local/train.sh
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@ -19,11 +19,19 @@ if [ ${seed} != 0 ]; then
export FLAGS_cudnn_deterministic=True
fi
if [ ${ngpu} == 0 ]; then
python3 -u ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--seed ${seed}
else
python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--seed ${seed}
fi
if [ ${seed} != 0 ]; then
unset FLAGS_cudnn_deterministic

9
examples/ted_en_zh/st1/local/train.sh
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@ -20,12 +20,21 @@ if [ ${seed} != 0 ]; then
export FLAGS_cudnn_deterministic=True
fi
if [ ${ngpu} == 0 ]; then
python3 -u ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--checkpoint_path "${ckpt_path}" \
--seed ${seed}
else
python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--checkpoint_path "${ckpt_path}" \
--seed ${seed}
fi
if [ ${seed} != 0 ]; then
unset FLAGS_cudnn_deterministic

8
examples/timit/asr1/local/train.sh
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@ -19,11 +19,19 @@ if [ ${seed} != 0 ]; then
export FLAGS_cudnn_deterministic=True
fi
if [ ${ngpu} == 0 ]; then
python3 -u ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--seed ${seed}
else
python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--seed ${seed}
fi
if [ ${seed} != 0 ]; then
unset FLAGS_cudnn_deterministic

10
examples/tiny/asr0/local/train.sh
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@ -26,6 +26,7 @@ model_type=$3
mkdir -p exp
if [ ${ngpu} == 0 ]; then
python3 -u ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
@ -33,6 +34,15 @@ python3 -u ${BIN_DIR}/train.py \
--model_type ${model_type} \
--profiler-options "${profiler_options}" \
--seed ${seed}
else
python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--config ${config_path} \
--output exp/${ckpt_name} \
--model_type ${model_type} \
--profiler-options "${profiler_options}" \
--seed ${seed}
fi
if [ ${seed} != 0 ]; then
unset FLAGS_cudnn_deterministic

11
examples/tiny/asr1/local/train.sh
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@ -27,14 +27,25 @@ ckpt_name=$2
mkdir -p exp
if [ ${ngpu} == 0 ]; then
python3 -u ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--seed ${seed} \
--config ${config_path} \
--output exp/${ckpt_name} \
--profiler-options "${profiler_options}" \
--benchmark-batch-size ${benchmark_batch_size} \
--benchmark-max-step ${benchmark_max_step}
else
python3 -m paddle.distributed.launch --gpus=${CUDA_VISIBLE_DEVICES} ${BIN_DIR}/train.py \
--ngpu ${ngpu} \
--seed ${seed} \
--config ${config_path} \
--output exp/${ckpt_name} \
--profiler-options "${profiler_options}" \
--benchmark-batch-size ${benchmark_batch_size} \
--benchmark-max-step ${benchmark_max_step}
fi
if [ ${seed} != 0 ]; then

4
paddlespeech/s2t/exps/deepspeech2/bin/train.py
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@ -12,7 +12,6 @@
# See the License for the specific language governing permissions and
# limitations under the License.
"""Trainer for DeepSpeech2 model."""
from paddle import distributed as dist
from yacs.config import CfgNode
from paddlespeech.s2t.exps.deepspeech2.model import DeepSpeech2Trainer as Trainer
@ -27,9 +26,6 @@ def main_sp(config, args):
def main(config, args):
if args.ngpu > 1:
dist.spawn(main_sp, args=(config, args), nprocs=args.ngpu)
else:
main_sp(config, args)

4
paddlespeech/s2t/exps/u2/bin/train.py
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@ -15,7 +15,6 @@
import cProfile
import os
from paddle import distributed as dist
from yacs.config import CfgNode
from paddlespeech.s2t.exps.u2.model import U2Trainer as Trainer
@ -32,9 +31,6 @@ def main_sp(config, args):
def main(config, args):
if args.ngpu > 1:
dist.spawn(main_sp, args=(config, args), nprocs=args.ngpu)
else:
main_sp(config, args)

4
paddlespeech/s2t/exps/u2_kaldi/bin/train.py
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@ -15,7 +15,6 @@
import cProfile
import os
from paddle import distributed as dist
from yacs.config import CfgNode
from paddlespeech.s2t.training.cli import default_argument_parser
@ -36,9 +35,6 @@ def main_sp(config, args):
def main(config, args):
if args.ngpu > 1:
dist.spawn(main_sp, args=(config, args), nprocs=args.ngpu)
else:
main_sp(config, args)

4
paddlespeech/s2t/exps/u2_st/bin/train.py
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@ -15,7 +15,6 @@
import cProfile
import os
from paddle import distributed as dist
from yacs.config import CfgNode
from paddlespeech.s2t.exps.u2_st.model import U2STTrainer as Trainer
@ -30,9 +29,6 @@ def main_sp(config, args):
def main(config, args):
if args.ngpu > 1:
dist.spawn(main_sp, args=(config, args), nprocs=args.ngpu)
else:
main_sp(config, args)

2
paddlespeech/s2t/io/sampler.py
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@ -51,7 +51,7 @@ def _batch_shuffle(indices, batch_size, epoch, clipped=False):
"""
rng = np.random.RandomState(epoch)
shift_len = rng.randint(0, batch_size - 1)
batch_indices = list(zip(* [iter(indices[shift_len:])] * batch_size))
batch_indices = list(zip(*[iter(indices[shift_len:])] * batch_size))
rng.shuffle(batch_indices)
batch_indices = [item for batch in batch_indices for item in batch]
assert clipped is False

2
paddlespeech/t2s/modules/transformer/repeat.py
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@ -36,4 +36,4 @@ def repeat(N, fn):
Returns:
MultiSequential: Repeated model instance.
"""
return MultiSequential(* [fn(n) for n in range(N)])
return MultiSequential(*[fn(n) for n in range(N)])

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