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Jan 5, 2021
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Add buffer size and tfrecords shards options #98

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5221569
:writing_hand: add options for tfrecords shards, buffer size and refo…
nglehuy Jan 5, 2021
fdd5722
:writing_hand: reformat code
nglehuy Jan 5, 2021
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42 changes: 22 additions & 20 deletions examples/conformer/train_conformer.py
View file
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Original file line number Diff line number Diff line change
Expand Up @@ -26,29 +26,25 @@

parser = argparse.ArgumentParser(prog="Conformer Training")

parser.add_argument("--config", type=str, default=DEFAULT_YAML,
help="The file path of model configuration file")
parser.add_argument("--config", type=str, default=DEFAULT_YAML, help="The file path of model configuration file")

parser.add_argument("--max_ckpts", type=int, default=10,
help="Max number of checkpoints to keep")
parser.add_argument("--max_ckpts", type=int, default=10, help="Max number of checkpoints to keep")

parser.add_argument("--tfrecords", default=False, action="store_true",
help="Whether to use tfrecords")
parser.add_argument("--tfrecords", default=False, action="store_true", help="Whether to use tfrecords")

parser.add_argument("--tbs", type=int, default=None,
help="Train batch size per replica")
parser.add_argument("--tfrecords_shards", type=int, default=16, help="Number of tfrecords shards")

parser.add_argument("--ebs", type=int, default=None,
help="Evaluation batch size per replica")
parser.add_argument("--tbs", type=int, default=None, help="Train batch size per replica")

parser.add_argument("--devices", type=int, nargs="*", default=[0],
help="Devices' ids to apply distributed training")
parser.add_argument("--ebs", type=int, default=None, help="Evaluation batch size per replica")

parser.add_argument("--mxp", default=False, action="store_true",
help="Enable mixed precision")
parser.add_argument("--devices", type=int, nargs="*", default=[0], help="Devices' ids to apply distributed training")

parser.add_argument("--cache", default=False, action="store_true",
help="Enable caching for dataset")
parser.add_argument("--mxp", default=False, action="store_true", help="Enable mixed precision")

parser.add_argument("--cache", default=False, action="store_true", help="Enable caching for dataset")

parser.add_argument("--bfs", type=int, default=100, help="Buffer size for shuffling")

args = parser.parse_args()

Expand All @@ -75,28 +71,34 @@
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
augmentations=config.learning_config.augmentations,
stage="train", cache=args.cache, shuffle=True
tfrecords_shards=args.tfrecords_shards,
stage="train", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)
eval_dataset = ASRTFRecordDataset(
data_paths=config.learning_config.dataset_config.eval_paths,
tfrecords_dir=config.learning_config.dataset_config.tfrecords_dir,
tfrecords_shards=args.tfrecords_shards,
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
stage="eval", cache=args.cache, shuffle=True
stage="eval", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)
else:
train_dataset = ASRSliceDataset(
data_paths=config.learning_config.dataset_config.train_paths,
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
augmentations=config.learning_config.augmentations,
stage="train", cache=args.cache, shuffle=True
stage="train", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)
eval_dataset = ASRSliceDataset(
data_paths=config.learning_config.dataset_config.eval_paths,
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
stage="eval", cache=args.cache, shuffle=True
stage="eval", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)

conformer_trainer = TransducerTrainer(
Expand Down
45 changes: 23 additions & 22 deletions examples/conformer/train_ga_conformer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -26,32 +26,27 @@

parser = argparse.ArgumentParser(prog="Conformer Training")

parser.add_argument("--config", type=str, default=DEFAULT_YAML,
help="The file path of model configuration file")
parser.add_argument("--config", type=str, default=DEFAULT_YAML, help="The file path of model configuration file")

parser.add_argument("--max_ckpts", type=int, default=10,
help="Max number of checkpoints to keep")
parser.add_argument("--max_ckpts", type=int, default=10, help="Max number of checkpoints to keep")

parser.add_argument("--tfrecords", default=False, action="store_true",
help="Whether to use tfrecords")
parser.add_argument("--tfrecords", default=False, action="store_true", help="Whether to use tfrecords")

parser.add_argument("--tbs", type=int, default=None,
help="Train batch size per replica")
parser.add_argument("--tfrecords_shards", type=int, default=16, help="Number of tfrecords shards")

parser.add_argument("--ebs", type=int, default=None,
help="Evaluation batch size per replica")
parser.add_argument("--tbs", type=int, default=None, help="Train batch size per replica")

parser.add_argument("--acs", type=int, default=None,
help="Train accumulation steps")
parser.add_argument("--ebs", type=int, default=None, help="Evaluation batch size per replica")

parser.add_argument("--devices", type=int, nargs="*", default=[0],
help="Devices' ids to apply distributed training")
parser.add_argument("--acs", type=int, default=None, help="Train accumulation steps")

parser.add_argument("--mxp", default=False, action="store_true",
help="Enable mixed precision")
parser.add_argument("--devices", type=int, nargs="*", default=[0], help="Devices' ids to apply distributed training")

parser.add_argument("--cache", default=False, action="store_true",
help="Enable caching for dataset")
parser.add_argument("--mxp", default=False, action="store_true", help="Enable mixed precision")

parser.add_argument("--cache", default=False, action="store_true", help="Enable caching for dataset")

parser.add_argument("--bfs", type=int, default=100, help="Buffer size for shuffling")

args = parser.parse_args()

Expand All @@ -78,28 +73,34 @@
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
augmentations=config.learning_config.augmentations,
stage="train", cache=args.cache, shuffle=True
tfrecords_shards=args.tfrecords_shards,
stage="train", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)
eval_dataset = ASRTFRecordDataset(
data_paths=config.learning_config.dataset_config.eval_paths,
tfrecords_dir=config.learning_config.dataset_config.tfrecords_dir,
tfrecords_shards=args.tfrecords_shards,
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
stage="eval", cache=args.cache, shuffle=True
stage="eval", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)
else:
train_dataset = ASRSliceDataset(
data_paths=config.learning_config.dataset_config.train_paths,
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
augmentations=config.learning_config.augmentations,
stage="train", cache=args.cache, shuffle=True
stage="train", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)
eval_dataset = ASRSliceDataset(
data_paths=config.learning_config.dataset_config.eval_paths,
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
stage="eval", cache=args.cache, shuffle=True
stage="eval", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)

conformer_trainer = TransducerTrainerGA(
Expand Down
54 changes: 26 additions & 28 deletions examples/conformer/train_ga_subword_conformer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -26,41 +26,33 @@

parser = argparse.ArgumentParser(prog="Conformer Training")

parser.add_argument("--config", type=str, default=DEFAULT_YAML,
help="The file path of model configuration file")
parser.add_argument("--config", type=str, default=DEFAULT_YAML, help="The file path of model configuration file")

parser.add_argument("--max_ckpts", type=int, default=10,
help="Max number of checkpoints to keep")
parser.add_argument("--max_ckpts", type=int, default=10, help="Max number of checkpoints to keep")

parser.add_argument("--tfrecords", default=False, action="store_true",
help="Whether to use tfrecords")
parser.add_argument("--tfrecords", default=False, action="store_true", help="Whether to use tfrecords")

parser.add_argument("--tbs", type=int, default=None,
help="Train batch size per replica")
parser.add_argument("--tfrecords_shards", type=int, default=16, help="Number of tfrecords shards")

parser.add_argument("--ebs", type=int, default=None,
help="Evaluation batch size per replica")
parser.add_argument("--tbs", type=int, default=None, help="Train batch size per replica")

parser.add_argument("--acs", type=int, default=None,
help="Train accumulation steps")
parser.add_argument("--ebs", type=int, default=None, help="Evaluation batch size per replica")

parser.add_argument("--sentence_piece", default=False, action="store_true",
help="Whether to use `SentencePiece` model")
parser.add_argument("--acs", type=int, default=None, help="Train accumulation steps")

parser.add_argument("--devices", type=int, nargs="*", default=[0],
help="Devices' ids to apply distributed training")
parser.add_argument("--sentence_piece", default=False, action="store_true", help="Whether to use `SentencePiece` model")

parser.add_argument("--mxp", default=False, action="store_true",
help="Enable mixed precision")
parser.add_argument("--devices", type=int, nargs="*", default=[0], help="Devices' ids to apply distributed training")

parser.add_argument("--cache", default=False, action="store_true",
help="Enable caching for dataset")
parser.add_argument("--mxp", default=False, action="store_true", help="Enable mixed precision")

parser.add_argument("--subwords", type=str, default=None,
help="Path to file that stores generated subwords")
parser.add_argument("--cache", default=False, action="store_true", help="Enable caching for dataset")

parser.add_argument("--subwords_corpus", nargs="*", type=str, default=[],
help="Transcript files for generating subwords")
parser.add_argument("--subwords", type=str, default=None, help="Path to file that stores generated subwords")

parser.add_argument("--subwords_corpus", nargs="*", type=str, default=[], help="Transcript files for generating subwords")

parser.add_argument("--bfs", type=int, default=100, help="Buffer size for shuffling")

args = parser.parse_args()

Expand Down Expand Up @@ -100,28 +92,34 @@
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
augmentations=config.learning_config.augmentations,
stage="train", cache=args.cache, shuffle=True
tfrecords_shards=args.tfrecords_shards,
stage="train", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)
eval_dataset = ASRTFRecordDataset(
data_paths=config.learning_config.dataset_config.eval_paths,
tfrecords_dir=config.learning_config.dataset_config.tfrecords_dir,
tfrecords_shards=args.tfrecords_shards,
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
stage="eval", cache=args.cache, shuffle=True
stage="eval", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)
else:
train_dataset = ASRSliceDataset(
data_paths=config.learning_config.dataset_config.train_paths,
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
augmentations=config.learning_config.augmentations,
stage="train", cache=args.cache, shuffle=True
stage="train", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)
eval_dataset = ASRSliceDataset(
data_paths=config.learning_config.dataset_config.eval_paths,
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
stage="eval", cache=args.cache, shuffle=True
stage="eval", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)

conformer_trainer = TransducerTrainerGA(
Expand Down
51 changes: 25 additions & 26 deletions examples/conformer/train_subword_conformer.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -26,38 +26,31 @@

parser = argparse.ArgumentParser(prog="Conformer Training")

parser.add_argument("--config", type=str, default=DEFAULT_YAML,
help="The file path of model configuration file")
parser.add_argument("--config", type=str, default=DEFAULT_YAML, help="The file path of model configuration file")

parser.add_argument("--max_ckpts", type=int, default=10,
help="Max number of checkpoints to keep")
parser.add_argument("--max_ckpts", type=int, default=10, help="Max number of checkpoints to keep")

parser.add_argument("--tfrecords", default=False, action="store_true",
help="Whether to use tfrecords")
parser.add_argument("--tfrecords", default=False, action="store_true", help="Whether to use tfrecords")

parser.add_argument("--sentence_piece", default=False, action="store_true",
help="Whether to use `SentencePiece` model")
parser.add_argument("--tfrecords_shards", type=int, default=16, help="Number of tfrecords shards")

parser.add_argument("--tbs", type=int, default=None,
help="Train batch size per replica")
parser.add_argument("--sentence_piece", default=False, action="store_true", help="Whether to use `SentencePiece` model")

parser.add_argument("--ebs", type=int, default=None,
help="Evaluation batch size per replica")
parser.add_argument("--tbs", type=int, default=None, help="Train batch size per replica")

parser.add_argument("--devices", type=int, nargs="*", default=[0],
help="Devices' ids to apply distributed training")
parser.add_argument("--ebs", type=int, default=None, help="Evaluation batch size per replica")

parser.add_argument("--mxp", default=False, action="store_true",
help="Enable mixed precision")
parser.add_argument("--devices", type=int, nargs="*", default=[0], help="Devices' ids to apply distributed training")

parser.add_argument("--cache", default=False, action="store_true",
help="Enable caching for dataset")
parser.add_argument("--mxp", default=False, action="store_true", help="Enable mixed precision")

parser.add_argument("--subwords", type=str, default=None,
help="Path to file that stores generated subwords")
parser.add_argument("--cache", default=False, action="store_true", help="Enable caching for dataset")

parser.add_argument("--subwords_corpus", nargs="*", type=str, default=[],
help="Transcript files for generating subwords")
parser.add_argument("--subwords", type=str, default=None, help="Path to file that stores generated subwords")

parser.add_argument("--subwords_corpus", nargs="*", type=str, default=[], help="Transcript files for generating subwords")

parser.add_argument("--bfs", type=int, default=100, help="Buffer size for shuffling")

args = parser.parse_args()

Expand Down Expand Up @@ -97,28 +90,34 @@
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
augmentations=config.learning_config.augmentations,
stage="train", cache=args.cache, shuffle=True
tfrecords_shards=args.tfrecords_shards,
stage="train", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)
eval_dataset = ASRTFRecordDataset(
data_paths=config.learning_config.dataset_config.eval_paths,
tfrecords_dir=config.learning_config.dataset_config.tfrecords_dir,
tfrecords_shards=args.tfrecords_shards,
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
stage="eval", cache=args.cache, shuffle=True
stage="eval", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)
else:
train_dataset = ASRSliceDataset(
data_paths=config.learning_config.dataset_config.train_paths,
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
augmentations=config.learning_config.augmentations,
stage="train", cache=args.cache, shuffle=True
stage="train", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)
eval_dataset = ASRSliceDataset(
data_paths=config.learning_config.dataset_config.eval_paths,
speech_featurizer=speech_featurizer,
text_featurizer=text_featurizer,
stage="eval", cache=args.cache, shuffle=True
stage="eval", cache=args.cache,
shuffle=True, buffer_size=args.bfs,
)

conformer_trainer = TransducerTrainer(
Expand Down
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