OFA-OCR / fairseq /examples /hubert /simple_kmeans /dump_hubert_feature_s2t.py
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# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import csv
import io
import logging
import os
import os.path as op
import sys
from dump_hubert_feature import HubertFeatureReader
from feature_utils import get_shard_range, dump_feature
from fairseq.data.audio.audio_utils import get_waveform
from fairseq.data.audio.speech_to_text_dataset import (
read_from_uncompressed_zip,
)
logging.basicConfig(
format="%(asctime)s | %(levelname)s | %(name)s | %(message)s",
datefmt="%Y-%m-%d %H:%M:%S",
level=os.environ.get("LOGLEVEL", "INFO").upper(),
stream=sys.stdout,
)
logger = logging.getLogger("dump_hubert_feature_s2t")
class HubertFeatureReaderS2T(HubertFeatureReader):
def read_audio(self, path, ref_len=None):
path, *extra = path.split(":")
assert len(extra) == 2
assert path.endswith(".zip")
data = read_from_uncompressed_zip(path, int(extra[0]), int(extra[1]))
f = io.BytesIO(data)
wav, sr = get_waveform(f)
assert sr == self.task.cfg.sample_rate, sr
if wav.ndim == 2:
wav = wav.mean(-1)
assert wav.ndim == 1, wav.ndim
if ref_len is not None and abs(ref_len - len(wav)) > 160:
logging.warning(f"ref {ref_len} != read {len(wav)} ({path})")
return wav
def get_path_iterator(root, tsv, nshard, rank):
with open(tsv) as f:
reader = csv.DictReader(
f,
delimiter="\t",
quotechar=None,
doublequote=False,
lineterminator="\n",
quoting=csv.QUOTE_NONE,
)
subpaths = [op.join(root, e["audio"]) for e in reader]
start, end = get_shard_range(len(subpaths), nshard, rank)
subpaths = subpaths[start:end]
def iterate():
for subpath in subpaths:
yield op.join(root, subpath), None
return iterate, len(subpaths)
def main(
root, tsv_path, ckpt_path, layer, nshard, rank, feat_dir, split, max_chunk
):
reader = HubertFeatureReaderS2T(ckpt_path, layer, max_chunk)
generator, num = get_path_iterator(root, tsv_path, nshard, rank)
dump_feature(reader, generator, num, split, nshard, rank, feat_dir)
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("root")
parser.add_argument("tsv_path")
parser.add_argument("ckpt_path")
parser.add_argument("layer", type=int)
parser.add_argument("nshard", type=int)
parser.add_argument("rank", type=int)
parser.add_argument("feat_dir")
parser.add_argument("split")
parser.add_argument("--max_chunk", type=int, default=1600000)
args = parser.parse_args()
logger.info(args)
main(**vars(args))