python_code stringlengths 0 992k | repo_name stringlengths 8 46 | file_path stringlengths 5 162 |
|---|---|---|
# Copyright (c) Facebook, Inc. All Rights Reserved
import torch
import os
import numpy as np
import pickle
from . import retri
from ..utils import get_local_rank
class VectorPool(object):
"""
Base class of retrieval space.
"""
def __init__(self, config):
from transformers import AutoConfig
... | EXA-1-master | exa/models/unilm-master/edgelm/examples/MMPT/mmpt/modules/vectorpool.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | EXA-1-master | exa/models/unilm-master/edgelm/examples/MMPT/mmpt/modules/mm.py |
# 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 numpy as np
import os
import pickle
from mmpt.utils import ShardedTensor
class Shard(object):
def __init__(
self,
... | EXA-1-master | exa/models/unilm-master/edgelm/examples/MMPT/scripts/video_feature_extractor/shard_feature.py |
# Copyright Howto100M authors.
# Copyright (c) Facebook, Inc. All Rights Reserved
import torch as th
import pandas as pd
import os
import numpy as np
import ffmpeg
import random
from torch.utils.data import Dataset
class VideoLoader(Dataset):
"""modified from how2's video_feature_extractor."""
def __init__(... | EXA-1-master | exa/models/unilm-master/edgelm/examples/MMPT/scripts/video_feature_extractor/videoreader.py |
# 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 os
import urllib.parse
import json
import pandas as pd
from tqdm import tqdm
# TODO: extending to other datasets.
supported_formats =... | EXA-1-master | exa/models/unilm-master/edgelm/examples/MMPT/scripts/video_feature_extractor/pathbuilder.py |
# Copyright (c) Howto100M authors and Facebook, Inc. All Rights Reserved
import torch as th
from torch import nn
class GlobalAvgPool(nn.Module):
def __init__(self):
super(GlobalAvgPool, self).__init__()
def forward(self, x):
return th.mean(x, dim=[-2, -1])
def get_model(args):
assert ... | EXA-1-master | exa/models/unilm-master/edgelm/examples/MMPT/scripts/video_feature_extractor/model.py |
# Copyright Howto100m authors.
# Copyright (c) Facebook, Inc. All Rights Reserved
import torch as th
class Normalize(object):
def __init__(self, mean, std):
self.mean = th.FloatTensor(mean).view(1, 3, 1, 1)
self.std = th.FloatTensor(std).view(1, 3, 1, 1)
def __call__(self, tensor):
t... | EXA-1-master | exa/models/unilm-master/edgelm/examples/MMPT/scripts/video_feature_extractor/preprocessing.py |
# Copyright Howto100M authors.
# Copyright (c) Facebook, Inc. All Rights Reserved
import torch as th
import torch.nn.functional as F
import math
import numpy as np
import argparse
from torch.utils.data import DataLoader
from model import get_model
from preprocessing import Preprocessing
from random_sequence_shuffler ... | EXA-1-master | exa/models/unilm-master/edgelm/examples/MMPT/scripts/video_feature_extractor/extract.py |
# Copyright (c) Facebook, Inc. All Rights Reserved
import numpy as np
from torch.utils.data.sampler import Sampler
class RandomSequenceSampler(Sampler):
def __init__(self, n_sample, seq_len):
self.n_sample = n_sample
self.seq_len = seq_len
def _pad_ind(self, ind):
zeros = np.zeros(... | EXA-1-master | exa/models/unilm-master/edgelm/examples/MMPT/scripts/video_feature_extractor/random_sequence_shuffler.py |
# 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 pickle
import os
import argparse
import numpy as np
from torch.utils.data import Dataset, DataLoader
from mmpt.processors import PKLJS... | EXA-1-master | exa/models/unilm-master/edgelm/examples/MMPT/scripts/text_token_extractor/pretokenization.py |
# 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 os
import glob
import argparse
import pprint
import omegaconf
from omegaconf import OmegaConf
from torch.utils.data import DataLoader
... | EXA-1-master | exa/models/unilm-master/edgelm/examples/MMPT/mmpt_cli/predict.py |
# 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 os
from mmpt.utils import recursive_config
class BaseJob(object):
def __init__(self, yaml_file, dryrun=False):
self.yaml_... | EXA-1-master | exa/models/unilm-master/edgelm/examples/MMPT/mmpt_cli/localjob.py |
# 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.
from . import rxf_src # noqa
| EXA-1-master | exa/models/unilm-master/edgelm/examples/rxf/__init__.py |
# 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.
from . import label_smoothed_cross_entropy_r3f, sentence_prediction_r3f # noqa
| EXA-1-master | exa/models/unilm-master/edgelm/examples/rxf/rxf_src/__init__.py |
# 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 math
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.criterions import FairseqCriterion, register_... | EXA-1-master | exa/models/unilm-master/edgelm/examples/rxf/rxf_src/sentence_prediction_r3f.py |
# 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 math
import torch
import torch.nn.functional as F
from fairseq import metrics, utils
from fairseq.criterions import FairseqCriterion, ... | EXA-1-master | exa/models/unilm-master/edgelm/examples/rxf/rxf_src/label_smoothed_cross_entropy_r3f.py |
# 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.
from . import transformer_xl_model, truncated_bptt_lm_task # noqa
| EXA-1-master | exa/models/unilm-master/edgelm/examples/truncated_bptt/__init__.py |
# 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 logging
import os
from dataclasses import dataclass, field
from typing import List, Optional, Tuple
import torch
from fairseq import u... | EXA-1-master | exa/models/unilm-master/edgelm/examples/truncated_bptt/truncated_bptt_lm_task.py |
# 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 logging
from dataclasses import dataclass, field
from typing import Dict, List, Optional
import torch
from fairseq.dataclass import Fa... | EXA-1-master | exa/models/unilm-master/edgelm/examples/truncated_bptt/transformer_xl_model.py |
# 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.
from . import tasks, criterions, models # noqa
| EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_text_joint_to_text/__init__.py |
# 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 logging
import os
from argparse import Namespace
from pathlib import Path
import torch
from fairseq.data import (
encoders,
Dic... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_text_joint_to_text/tasks/speech_text_joint.py |
# 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 importlib
import os
| EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_text_joint_to_text/tasks/__init__.py |
# 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 logging
from collections import namedtuple
import torch
import torch.nn as nn
from fairseq import checkpoint_utils
from fairseq import... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_text_joint_to_text/models/s2t_dualinputtransformer.py |
# 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 importlib
import os
| EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_text_joint_to_text/models/__init__.py |
# 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 copy
import torch.nn as nn
from fairseq import checkpoint_utils
from fairseq import utils
from fairseq.data.data_utils import lengths_... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_text_joint_to_text/models/s2t_dualinputxmtransformer.py |
# 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 argparse
import itertools
import logging
import re
import time
from g2p_en import G2p
logger = logging.getLogger(__name__)
FAIL_SENT... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_text_joint_to_text/scripts/g2p_encode.py |
# 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 math
import torch
import torch.nn.functional as F
from fairseq.criterions import FairseqCriterion, register_criterion
from fairseq.crit... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_text_joint_to_text/criterions/text_guide_cross_entropy_acc.py |
# 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 importlib
import os
for file in os.listdir(os.path.dirname(__file__)):
if file.endswith(".py") and not file.startswith("_"):
... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_text_joint_to_text/criterions/__init__.py |
#!/usr/bin/env python3
# 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.
"""
Helper script to pre-compute embeddings for a flashlight (previously called wav2letter++) dataset
"""
import argpa... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/wav2vec_featurize.py |
EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/__init__.py | |
#!/usr/bin/env python3
# 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.
"""
Data pre-processing: build vocabularies and binarize training data.
"""
import argparse
import glob
import os
impor... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/wav2vec_manifest.py |
#!/usr/bin/env python3
# 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.
"""
Helper script to pre-compute embeddings for a flashlight (previously called wav2letter++) dataset
"""
import argpa... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/libri_labels.py |
#!/usr/bin/env python3
# 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.
"""
Helper script to pre-compute embeddings for a flashlight (previously called wav2letter++) dataset
"""
import argpa... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/vq-wav2vec_featurize.py |
EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/__init__.py | |
#!/usr/bin/env python3 -u
# 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.
"""
Run inference for pre-processed data with a trained model.
"""
import ast
from collections import namedtuple
fr... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/w2vu_generate.py |
# 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.
from .unpaired_audio_text import UnpairedAudioText
__all__ = [
"UnpairedAudioText",
]
| EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/tasks/__init__.py |
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
from dataclasses import dataclass,... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/tasks/unpaired_audio_text.py |
import kaldi_io
import numpy as np
import os
def get_parser():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("w2v_dir", help="wav2vec feature and text directory")
parser.add_argument("tar_root", help="output data directory in kaldi's format")
parser.add_argument("split", h... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/kaldi_self_train/st/local/prepare_data_from_w2v.py |
"""
Implement unsupervised metric for decoding hyperparameter selection:
$$ alpha * LM_PPL + ViterbitUER(%) * 100 $$
"""
import argparse
import logging
import math
import sys
import kenlm
import editdistance
from g2p_en import G2p
logging.root.setLevel(logging.INFO)
logging.basicConfig(stream=sys.stdout, level=lo... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/kaldi_self_train/st/local/unsup_select.py |
import sys
for idx, line in enumerate(sys.stdin):
print(f"utt{idx:010d} {line}", end='') | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/kaldi_self_train/st/local/copy_aligned_text.py |
# 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.
from dataclasses import dataclass
from enum import Enum, auto
import math
import numpy as np
from typing import Tuple, List, Optional, Dict
i... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/models/wav2vec_u.py |
# 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.
from .wav2vec_u import Wav2vec_U
__all__ = [
"Wav2vec_U",
]
| EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/models/__init__.py |
#!/usr/bin/env python3 -u
# 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 argparse
import sys
from copy import deepcopy
from scipy.signal import lfilter
import numpy as np
from tqdm... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/vads.py |
#!/usr/bin/env python3 -u
# 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 argparse
import os
import os.path as osp
import numpy as np
import tqdm
import torch
import sys
import faiss... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/wav2vec_apply_cluster_faiss.py |
#!/usr/bin/env python3 -u
# 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 argparse
import gc
import os
import os.path as osp
import random
import numpy as np
import tqdm
import torch
... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/wav2vec_cluster_faiss.py |
#!/usr/bin/env python3 -u
# 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 os
import argparse
import sys
parser = argparse.ArgumentParser()
parser.add_argument("--tsv", required=True... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/filter_tsv.py |
#!/usr/bin/env python3 -u
# 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 argparse
import os
import os.path as osp
import numpy as np
import tqdm
import torch
import random
from shuti... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/merge_clusters.py |
#!/usr/bin/env python3 -u
# 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 sys
def main():
for line in sys.stdin:
print(line.replace(" ", "").replace("|", " ").strip())
... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/ltr_to_wrd.py |
#!/usr/bin/env python3 -u
# 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 argparse
import numpy as np
import sys
def get_parser():
parser = argparse.ArgumentParser(
desc... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/phonemize_with_sil.py |
#!/usr/bin/env python3 -u
# 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 argparse
import os
import os.path as osp
import math
import numpy as np
import tqdm
import torch
import torch... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/mean_pool.py |
#!/usr/bin/env python3 -u
# 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 sys
def main():
for line in sys.stdin:
print(" ".join(list(line.strip().replace(" ", "|"))) + "... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/wrd_to_ltr.py |
#!/usr/bin/env python3
# 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 regex
import sys
def main():
filter_r = regex.compile(r"[^\p{L}\p{N}\p{M}\' \-]")
for line in sys.std... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/normalize_text.py |
#!/usr/bin/env python3 -u
# 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.
"""
Implement unsupervised metric for decoding hyperparameter selection:
$$ alpha * LM_PPL + ViterbitUER(%) * 10... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/wer.py |
#!/usr/bin/env python3 -u
# 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 sys
for idx, line in enumerate(sys.stdin):
print(f"utt{idx:010d} {line}", end="")
| EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/copy_labels.py |
#!/usr/bin/env python3 -u
# 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 argparse
import os
import os.path as osp
import numpy as np
import faiss
def get_parser():
parser = a... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/pca.py |
#!/usr/bin/env python3
# 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 argparse
import fasttext as ft
import os
import regex
import sys
def get_parser():
parser = argparse.Argum... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/normalize_and_filter_text.py |
#!/usr/bin/env python3 -u
# 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 argparse
import sys
from fairseq.data import Dictionary
def get_parser():
parser = argparse.ArgumentPa... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/filter_lexicon.py |
#!/usr/bin/env python3 -u
# 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 argparse
import os
import os.path as osp
import math
import numpy as np
import tqdm
import torch
from shutil ... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/apply_pca.py |
#!/usr/bin/env python3 -u
# 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 argparse
import sys
from g2p_en import G2p
def main():
parser = argparse.ArgumentParser()
parser.a... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/g2p_wrd_to_phn.py |
#!/usr/bin/env python3 -u
# 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.
"""
get intervals from .vads file, specify output data, and this script removes silences and saves the audio data in... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/remove_silence.py |
#!/usr/bin/env python3 -u
# 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 argparse
import os
import os.path as osp
import tqdm
import torch
import torch.nn.functional as F
from shutil... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/scripts/wav2vec_extract_features.py |
# 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.
from .extracted_features_dataset import ExtractedFeaturesDataset
from .random_input_dataset import RandomInputDataset
__all__ = [
"Extra... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/data/__init__.py |
# 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 logging
import os
import contextlib
import numpy as np
import torch
from fairseq.data import FairseqDataset, data_utils
logger = l... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/data/extracted_features_dataset.py |
# 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 random
from typing import List
from fairseq.data import BaseWrapperDataset, data_utils
class RandomInputDataset(BaseWrapperDataset):... | EXA-1-master | exa/models/unilm-master/edgelm/examples/wav2vec/unsupervised/data/random_input_dataset.py |
#!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import contextlib
import sys
from collections import Counter
from multiprocessing imp... | EXA-1-master | exa/models/unilm-master/edgelm/examples/roberta/multiprocessing_bpe_encoder.py |
#!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import json
import os
import re
class InputExample:
def __init__(self, paragrap... | EXA-1-master | exa/models/unilm-master/edgelm/examples/roberta/preprocess_RACE.py |
# 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 json
from functools import lru_cache
def convert_sentence_to_json(sentence):
if "_" in sentence:
prefix, rest = sentence.... | EXA-1-master | exa/models/unilm-master/edgelm/examples/roberta/wsc/wsc_utils.py |
# 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 math
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.criterions import LegacyFairseqCriterion, reg... | EXA-1-master | exa/models/unilm-master/edgelm/examples/roberta/wsc/wsc_criterion.py |
# 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.
from . import wsc_criterion # noqa
from . import wsc_task # noqa
| EXA-1-master | exa/models/unilm-master/edgelm/examples/roberta/wsc/__init__.py |
# 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 json
import os
import tempfile
import numpy as np
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.... | EXA-1-master | exa/models/unilm-master/edgelm/examples/roberta/wsc/wsc_task.py |
# 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.
from . import commonsense_qa_task # noqa
| EXA-1-master | exa/models/unilm-master/edgelm/examples/roberta/commonsense_qa/__init__.py |
# 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 json
import os
import numpy as np
import torch
from fairseq.data import (
Dictionary,
IdDataset,
ListDataset,
NestedDi... | EXA-1-master | exa/models/unilm-master/edgelm/examples/roberta/commonsense_qa/commonsense_qa_task.py |
#!/usr/bin/env python3 -u
# 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 argparse
import fileinput
import sacremoses
def main():
parser = argparse.ArgumentParser(description="... | EXA-1-master | exa/models/unilm-master/edgelm/examples/megatron_11b/detok.py |
# 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 logging
import matplotlib.pyplot as plt
import numpy as np
from pathlib import Path
import soundfile as sf
import sys
import torch
imp... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/generate_waveform.py |
# 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.
| EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/__init__.py |
# 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 os
from pathlib import Path
from typing import Optional, List, Dict
import zipfile
import tempfile
from dataclasses import dataclass
fr... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/data_utils.py |
# 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 numpy as np
import torch
from scipy.interpolate import interp1d
import torchaudio
from fairseq.tasks.text_to_speech import (
batch... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/utils.py |
# 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.
"""
Signal processing-based evaluation using waveforms
"""
import csv
import numpy as np
import os.path as op
import torch
import tqdm
from... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/evaluation/eval_sp.py |
# 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 argparse
import editdistance
import re
import shutil
import soundfile as sf
import subprocess
from pathlib import Path
from examples.s... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/evaluation/eval_asr.py |
# 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.
"""
Signal processing-based evaluation using waveforms
"""
import numpy as np
import os.path as op
import torchaudio
import tqdm
from tabulat... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/evaluation/eval_f0.py |
# 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
from pathlib import Path
def main(args):
"""
`uid syn ref text`
"""
in_root = Path(args.generation_root).resolve... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/evaluation/get_eval_manifest.py |
# 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.
| EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/evaluation/__init__.py |
# 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 argparse
import logging
import numpy as np
import re
from pathlib import Path
from collections import defaultdict
import pandas as pd
... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/get_vctk_audio_manifest.py |
# 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 argparse
from collections import defaultdict
from itertools import chain
from pathlib import Path
import numpy as np
import torchaudi... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/get_speaker_embedding.py |
# 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 argparse
import logging
from pathlib import Path
from collections import defaultdict
import pandas as pd
from torchaudio.datasets impo... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/get_ljspeech_audio_manifest.py |
# 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 argparse
import logging
from pathlib import Path
import shutil
from tempfile import NamedTemporaryFile
from collections import Counter,... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/get_feature_manifest.py |
# 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.
| EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/__init__.py |
# 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 argparse
import logging
from pathlib import Path
from collections import defaultdict
from typing import List, Dict, Tuple
import panda... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/get_common_voice_audio_manifest.py |
# 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 argparse
import logging
import os
import csv
import tempfile
from collections import defaultdict
from pathlib import Path
import torch... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/denoise_and_vad_audio.py |
# 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 librosa
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.data
import torchaudio
EMBEDDER_PARAMS... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/speaker_embedder/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# author: adefossez
import logging
import torch.hub
from .demucs import Demucs
from .utils import deserialize_model
logg... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/denoiser/pretrained.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# author: adefossez
import math
import torch as th
from torch.nn import functional as F
def sinc(t):
"""sinc.
:... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/denoiser/resample.py |
# 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.
| EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/denoiser/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# author: adefossez
import functools
import logging
from contextlib import contextmanager
import inspect
import time
logge... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/denoiser/utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
# author: adefossez
import math
import time
import torch as th
from torch import nn
from torch.nn import functional as F
... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/denoiser/demucs.py |
# 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 collections
import contextlib
import wave
try:
import webrtcvad
except ImportError:
raise ImportError("Please install py-webr... | EXA-1-master | exa/models/unilm-master/edgelm/examples/speech_synthesis/preprocessing/vad/__init__.py |
from . import criterions, models, tasks # noqa
| EXA-1-master | exa/models/unilm-master/edgelm/examples/discriminative_reranking_nmt/__init__.py |
#!/usr/bin/env python3 -u
# 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.
"""
Score raw text with a trained model.
"""
from collections import namedtuple
import logging
from multiprocessing ... | EXA-1-master | exa/models/unilm-master/edgelm/examples/discriminative_reranking_nmt/drnmt_rerank.py |
from .discriminative_reranking_task import DiscriminativeRerankingNMTTask
__all__ = [
"DiscriminativeRerankingNMTTask",
]
| EXA-1-master | exa/models/unilm-master/edgelm/examples/discriminative_reranking_nmt/tasks/__init__.py |
# 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.
from dataclasses import dataclass, field
import itertools
import logging
import os
import numpy as np
import torch
from fairseq import metr... | EXA-1-master | exa/models/unilm-master/edgelm/examples/discriminative_reranking_nmt/tasks/discriminative_reranking_task.py |
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