python_code stringlengths 0 992k | repo_name stringlengths 8 46 | file_path stringlengths 5 162 |
|---|---|---|
import glob
import os
from typing import List, Optional, Tuple
import logging
import numpy as np
import torchvision.transforms.functional as TF
import PIL
from PIL import Image
from torchvision.datasets import VisionDataset
logger = logging.getLogger(__name__)
class PathDataset(VisionDataset):
def __init__(
... | EXA-1-master | exa/libraries/fairseq/examples/data2vec/data/path_dataset.py |
import logging
import argparse
import random
import sys
import os
import numpy as np
import torch
import soundfile as sf
import shutil
import librosa
import json
from pathlib import Path
from tqdm import tqdm
import amfm_decompy.basic_tools as basic
import amfm_decompy.pYAAPT as pYAAPT
dir_path = os.path.dirname(__fil... | EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/synthesize.py |
from pathlib import Path
import os
import argparse
import random
import numpy as np
from sklearn.utils import shuffle
if __name__ == "__main__":
"""
this is a standalone script to process a km file
specifically, to dedup or remove tokens that repeat less
than k times in a row
"""
parser = argp... | EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/preprocess/split_km_tsv.py |
EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/preprocess/__init__.py | |
from pathlib import Path
import os
import sys
import argparse
import random
import numpy as np
from tqdm import tqdm
from sklearn.model_selection import train_test_split
from build_translation_manifests import get_utt_id
def train_val_test_split(tsv_lines, km_lines, valid_percent, test_percent, seed=42):
utt_ids ... | EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/preprocess/split_emov_km_tsv_by_uttid.py |
from glob import glob
import argparse
from collections import defaultdict, Counter
from itertools import combinations, product, groupby
from pathlib import Path
import os
from sklearn.utils import shuffle
import numpy as np
import random
from shutil import copy
from subprocess import check_call
np.random.seed(42)
rand... | EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/preprocess/build_translation_manifests.py |
from pathlib import Path
import os
import sys
import subprocess
import argparse
from datetime import datetime
import logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s [%(levelname)s] %(message)s',
handlers=[logging.FileHandler('debug.log'), logging.StreamHandler()]
)
logger = logging.get... | EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/preprocess/create_core_manifest.py |
import sys
import argparse
from tqdm import tqdm
from build_emov_translation_manifests import dedup, remove_under_k
if __name__ == "__main__":
"""
this is a standalone script to process a km file
specifically, to dedup or remove tokens that repeat less
than k times in a row
"""
parser = argpar... | EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/preprocess/process_km.py |
from pathlib import Path
import os
import argparse
import random
import numpy as np
from sklearn.utils import shuffle
if __name__ == "__main__":
"""
this is a standalone script to process a km file
specifically, to dedup or remove tokens that repeat less
than k times in a row
"""
parser = argp... | EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/preprocess/split_km.py |
import argparse
from tqdm import tqdm
from multiprocessing import Manager, Pool
from scipy.io.wavfile import read
from librosa.util import normalize
import numpy as np
import amfm_decompy.pYAAPT as pYAAPT
import amfm_decompy.basic_tools as basic
MAX_WAV_VALUE = 32768.0
parser = argparse.ArgumentParser(description=""... | EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/preprocess/extract_f0.py |
import torchaudio
import argparse
import json
def main():
parser = argparse.ArgumentParser(description="example: python create_hifigan_manifest.py --tsv /checkpoint/felixkreuk/datasets/vctk/splits/vctk_16khz/train.tsv --km /checkpoint/felixkreuk/experiments/hubert/hubert_feats/vctk_16khz_km_100/train.km --km_type ... | EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/preprocess/build_hifigan_manifest.py |
import logging
import os
import hydra
import torch
import torch.nn as nn
import torch.nn.functional as F
from einops.layers.torch import Rearrange
from torch.utils.data import DataLoader, Dataset
from .utils import Accuracy
logger = logging.getLogger(__name__)
def save_ckpt(model, path, model_class):
ckpt = {
... | EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/emotion_models/duration_predictor.py |
EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/emotion_models/__init__.py | |
import torch
class Stat:
def __init__(self, keep_raw=False):
self.x = 0.0
self.x2 = 0.0
self.z = 0.0 # z = logx
self.z2 = 0.0
self.n = 0.0
self.u = 0.0
self.keep_raw = keep_raw
self.raw = []
def update(self, new_x):
new_z = new_x.log()
... | EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/emotion_models/utils.py |
import logging
import os
import random
import sys
from collections import defaultdict
import hydra
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from einops import rearrange
from einops.layers.torch import Rearrange
from scipy.io.wavfile import read
from scipy.ndimage import gau... | EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/emotion_models/pitch_predictor.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 fairseq import utils
from fairseq.models import (
FairseqMultiModel,
register_model,
register_model_architecture,
)
from fair... | EXA-1-master | exa/libraries/fairseq/examples/emotion_conversion/fairseq_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.
from fairseq.tasks import register_task
from fairseq.tasks.multilingual_translation import MultilingualTranslationTask
from fairseq.utils impo... | EXA-1-master | exa/libraries/fairseq/examples/latent_depth/latent_depth_src/multilingual_translation_latent_depth.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 multilingual_translation_latent_depth # noqa
from .loss import latent_depth # noqa
from .models import latent_multilingual_tra... | EXA-1-master | exa/libraries/fairseq/examples/latent_depth/latent_depth_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
from torch.nn.modules.loss import _Loss
class LatentLayersKLLoss(_Loss):
def __init__(self, args):
sup... | EXA-1-master | exa/libraries/fairseq/examples/latent_depth/latent_depth_src/loss/latent_depth.py |
EXA-1-master | exa/libraries/fairseq/examples/latent_depth/latent_depth_src/loss/__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 fairseq.models import register_model, register_model_architecture
from fairseq.models.multilingual_transformer import MultilingualTransfo... | EXA-1-master | exa/libraries/fairseq/examples/latent_depth/latent_depth_src/models/latent_multilingual_transformer.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 typing import Any, Dict, Optional
import torch.nn as nn
from fairseq.models.fairseq_encoder import EncoderOut
from fairseq.models.transf... | EXA-1-master | exa/libraries/fairseq/examples/latent_depth/latent_depth_src/models/latent_transformer.py |
EXA-1-master | exa/libraries/fairseq/examples/latent_depth/latent_depth_src/models/__init__.py | |
EXA-1-master | exa/libraries/fairseq/examples/latent_depth/latent_depth_src/modules/__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 torch
import torch.nn as nn
class LayerSelect(nn.Module):
"""Compute samples (from a Gumbel-Sigmoid distribution) which is used a... | EXA-1-master | exa/libraries/fairseq/examples/latent_depth/latent_depth_src/modules/latent_layers.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.
"""
Scoring script for computing pairwise BLEU and multi-ref BLEU over a set of
candidate hypotheses.
See `"Mixture Mod... | EXA-1-master | exa/libraries/fairseq/examples/translation_moe/score.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 torch
import torch.nn.functional as F
class MeanPoolGatingNetwork(torch.nn.Module):
"""A simple mean-pooling gating network for s... | EXA-1-master | exa/libraries/fairseq/examples/translation_moe/translation_moe_src/mean_pool_gating_network.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 translation_moe # noqa
| EXA-1-master | exa/libraries/fairseq/examples/translation_moe/translation_moe_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 torch
class LogSumExpMoE(torch.autograd.Function):
"""Standard LogSumExp forward pass, but use *posterior* for the backward.
... | EXA-1-master | exa/libraries/fairseq/examples/translation_moe/translation_moe_src/logsumexp_moe.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 torch
from omegaconf import II
from fairseq import utils
from fairseq.logging import metrics
... | EXA-1-master | exa/libraries/fairseq/examples/translation_moe/translation_moe_src/translation_moe.py |
from . import criterions, models, tasks # noqa
| EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/__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.
"""
Flashlight decoders.
"""
import gc
import itertools as it
import os.path as osp
from typing import List
import wa... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/w2l_decoder.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
import logging
import math
import os
... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/infer.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 re
import sys
import torch
from examples.speech_recognition.data import AsrDataset
from examples.speech_recognit... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/tasks/speech_recognition.py |
import importlib
import os
for file in sorted(os.listdir(os.path.dirname(__file__))):
if file.endswith(".py") and not file.startswith("_"):
task_name = file[: file.find(".py")]
importlib.import_module("examples.speech_recognition.tasks." + task_name)
| EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/tasks/__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.
from dataclasses import dataclass
import hydra
from hydra.core.config_store import ConfigStore
import logging
from ome... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/kaldi/kaldi_initializer.py |
EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/kaldi/__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.
from concurrent.futures import ThreadPoolExecutor
import logging
from omegaconf import MISSING
import os
import torch
... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/kaldi/kaldi_decoder.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.
from __future__ import absolute_import, division, print_function, unicode_literals
import argparse
import concurrent.f... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/datasets/asr_prep_json.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.
from __future__ import absolute_import, division, print_function, unicode_literals
import re
from collections import ... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/utils/wer_utils.py |
import importlib
import os
for file in sorted(os.listdir(os.path.dirname(__file__))):
if file.endswith(".py") and not file.startswith("_"):
model_name = file[: file.find(".py")]
importlib.import_module("examples.speech_recognition.models." + model_name)
| EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/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 argparse
import math
from collections.abc import Iterable
import torch
import torch.nn as nn
from examples.speech_recognition.data.dat... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/models/vggtransformer.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 math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.models import (
Fairs... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/models/w2l_conv_glu_enc.py |
EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/new/__init__.py | |
#!/usr/bin/env python -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 ast
import hashlib
import logging
import os
import shutil
import sys
from dataclasses import dataclass, field,... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/new/infer.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.
from typing import Union
from fairseq.data.dictionary import Dictionary
from .decoder_config import DecoderConfig, F... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/new/decoders/decoder.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 torch
from typing import List, Dict
from .base_decoder import BaseDecoder
class ViterbiDecoder(BaseDecoder)... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/new/decoders/viterbi_decoder.py |
EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/new/decoders/__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 itertools as it
from typing import Any, Dict, List
import torch
from fairseq.data.dictionary import Dictionary
from fairseq.models.fai... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/new/decoders/base_decoder.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
from dataclasses import dataclass, field
from typing import Optional
from fairseq.dataclass.configs import FairseqDataclass
from ... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/new/decoders/decoder_config.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 gc
import os.path as osp
import warnings
from collections import deque, namedtuple
from typing import Any, Dict... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/new/decoders/flashlight_decoder.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.
"""
Replabel transforms for use with flashlight's ASG criterion.
"""
def replabel_symbol(i):
"""
Replabel sy... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/data/replabels.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 .asr_dataset import AsrDataset
__all__ = [
"AsrDataset",
]
| EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/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.
"""
This module contains collection of classes which implement
collate functionalities for various tasks.
Collaters should know wh... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/data/collaters.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 torch
def calc_mean_invstddev(feature):
if len(feature.size()) != 2:
raise ValueError("We expect the input feature to be ... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/data/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 os
import numpy as np
from fairseq.data import FairseqDataset
from . import data_utils
from .collaters import Seq2SeqCollater
class... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/data/asr_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.
from __future__ import absolute_import, division, print_function, unicode_literals
import logging
import math
import torch
import torch.nn.f... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/criterions/cross_entropy_acc.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 torch
from examples.speech_recognition.data.replabels import pack_replabels
from fairseq import utils
from fair... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/criterions/ASG_loss.py |
import importlib
import os
# ASG loss requires flashlight bindings
files_to_skip = set()
try:
import flashlight.lib.sequence.criterion
except ImportError:
files_to_skip.add("ASG_loss.py")
for file in sorted(os.listdir(os.path.dirname(__file__))):
if file.endswith(".py") and not file.startswith("_") and f... | EXA-1-master | exa/libraries/fairseq/examples/speech_recognition/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.
import sys
from sacremoses.normalize import MosesPunctNormalizer
def main(args):
normalizer = MosesPunctNormal... | EXA-1-master | exa/libraries/fairseq/examples/constrained_decoding/normalize.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 sys
import sacremoses
def main(args):
"""Tokenizes, preserving tabs"""
mt = sacremoses.MosesTokeniz... | EXA-1-master | exa/libraries/fairseq/examples/constrained_decoding/tok.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
from typing import Dict, List, Optional
import torch
from fairseq.dataclass import FairseqDa... | EXA-1-master | exa/libraries/fairseq/examples/adaptive_span/adaptive_span_model_wrapper.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.
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq.modules.layer_norm import Lay... | EXA-1-master | exa/libraries/fairseq/examples/adaptive_span/adaptive_span_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.
import importlib
import os
# automatically import any Python files in the current directory
cur_dir = os.path.dirname(__file__)
for file in o... | EXA-1-master | exa/libraries/fairseq/examples/adaptive_span/__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
from dataclasses import dataclass
import torch.nn.functional as F
from fairseq import utils
from fairseq.logging import metrics
f... | EXA-1-master | exa/libraries/fairseq/examples/adaptive_span/adaptive_span_loss.py |
../truncated_bptt/truncated_bptt_lm_task.py | EXA-1-master | exa/libraries/fairseq/examples/adaptive_span/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 math
import torch
import torch.nn as nn
import torch.nn.functional as F
class AdaptiveMask(nn.Module):
"""Soft masking function f... | EXA-1-master | exa/libraries/fairseq/examples/adaptive_span/adaptive_span_attention.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 torch.optim import Adagrad
from fairseq.optim import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("adagrad_with_grad... | EXA-1-master | exa/libraries/fairseq/examples/adaptive_span/adagrad_with_grad_clip.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 torch
from fairseq.models.bart import BARTModel
import argparse
XSUM_KWARGS = dict(beam=6, lenpen=1.0, max_len_b=60, min_len=10, no_re... | EXA-1-master | exa/libraries/fairseq/examples/bart/summarize.py |
import argparse
from pathlib import Path
import soundfile
def get_insl_frame(parse):
out = []
def is_ont_token(tok):
return tok[0] in ["[", "]"];
res = []
x = []
for tok in parse.split():
if is_ont_token(tok):
res.extend('_'.join(x))
x = []
res.a... | EXA-1-master | exa/libraries/fairseq/examples/audio_nlp/nlu/generate_manifests.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
from utils.dedup import deup
import sys
WORKDIR_ROOT = os.environ.get('WORKDIR_ROOT', None)
if WORKD... | EXA-1-master | exa/libraries/fairseq/examples/multilingual/data_scripts/dedup_all.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 argparse
import pandas as pd
import sys
WORKDIR_ROOT = os.environ.get('WORKDIR_ROOT', None)
if WORKDIR_ROOT is None or n... | EXA-1-master | exa/libraries/fairseq/examples/multilingual/data_scripts/check_valid_test_overlaps.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, sys
import subprocess
import re
from subprocess import check_call, check_output
WORKDIR_ROOT = os.environ.get('WORKDIR_ROOT', Non... | EXA-1-master | exa/libraries/fairseq/examples/multilingual/data_scripts/check_iswlt_test_data.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 itertools
import os
import csv
from collections import defaultdict
from six.moves import zip
import io
import wget
import sys
from su... | EXA-1-master | exa/libraries/fairseq/examples/multilingual/data_scripts/download_ted_and_extract.py |
from typing import NamedTuple, List
from urllib.parse import urlparse
import os, sys
import subprocess
from subprocess import check_call, check_output
import glob
import wget
import re
import multiprocessing as mp
from functools import partial
import pathlib
from collections import OrderedDict
WORKDIR_ROOT = os.envir... | EXA-1-master | exa/libraries/fairseq/examples/multilingual/data_scripts/download_wmt19_and_before.py |
import os, sys
import glob, itertools
import pandas as pd
WORKDIR_ROOT = os.environ.get('WORKDIR_ROOT', None)
if WORKDIR_ROOT is None or not WORKDIR_ROOT.strip():
print('please specify your working directory root in OS environment variable WORKDIR_ROOT. Exitting..."')
sys.exit(-1)
def load_langs(path):
... | EXA-1-master | exa/libraries/fairseq/examples/multilingual/data_scripts/remove_valid_test_in_train.py |
import shutil
import os, sys
from subprocess import check_call, check_output
import glob
import argparse
import shutil
import pathlib
import itertools
def call_output(cmd):
print(f"Executing: {cmd}")
ret = check_output(cmd, shell=True)
print(ret)
return ret
def call(cmd):
print(cmd)
check_call... | EXA-1-master | exa/libraries/fairseq/examples/multilingual/data_scripts/binarize.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
from utils.dedup import deup
import sys
WORKDIR_ROOT = os.environ.get('WORKDIR_ROOT', None)
if WORKDI... | EXA-1-master | exa/libraries/fairseq/examples/multilingual/data_scripts/check_self_overlaps.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.
#!/bin/python
import fasttext
from multiprocessing import Pool
import contextlib
import sys
import argparse
from functools import partial
im... | EXA-1-master | exa/libraries/fairseq/examples/multilingual/data_scripts/utils/fasttext_multi_filter.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
def deup(src_file, tgt_file, src_file_out, tgt_file_out):
seen = set()
dup_count = 0
with open(src_file, encodin... | EXA-1-master | exa/libraries/fairseq/examples/multilingual/data_scripts/utils/dedup.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 torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import options, utils
from fairseq.models import (
Fairs... | EXA-1-master | exa/libraries/fairseq/examples/laser/laser_src/laser_lstm.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 typing import Any, Dict, List, Optional
from torch import Tensor
import torch
import torch.nn as nn
from fairseq.models... | EXA-1-master | exa/libraries/fairseq/examples/laser/laser_src/laser_transformer.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 collections import OrderedDict
import numpy as np
from fairseq.data import BaseWrapperDataset, FairseqDataset, iterators
class MultiI... | EXA-1-master | exa/libraries/fairseq/examples/laser/laser_src/multitask_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.
from .laser_task import * # noqa
from .laser_lstm import * # noqa
from .laser_transformer import * # noqa
| EXA-1-master | exa/libraries/fairseq/examples/laser/laser_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.
from collections import OrderedDict, defaultdict
import json
import os
import logging
from argparse import ArgumentError
from fairseq import... | EXA-1-master | exa/libraries/fairseq/examples/laser/laser_src/laser_task.py |
import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="mmpt",
version="0.0.1",
author="Hu Xu, Po-yao Huang",
author_email="huxu@fb.com",
description="A package for multimodal pretraining.",
long_description=long_description,
long_descr... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/setup.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 os
from omegaconf import OmegaConf
from mmpt.utils import recursive_config, overwrite_dir
from mmpt_cli.localjob impor... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/locallaunch.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.
try:
# fairseq user dir
from .datasets import FairseqMMDataset
from .losses import FairseqCriterion
from .models import Fairseq... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/mmpt/__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 .loss import *
from .nce import *
try:
from .fairseqmmloss import *
except ImportError:
pass
try:
from .expnce import *
exce... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/mmpt/losses/__init__.py |
# Copyright (c) Facebook, Inc. All Rights Reserved
import torch
from torch import nn
class Loss(object):
def __call__(self, *args, **kwargs):
raise NotImplementedError
# Dummy Loss for testing.
class DummyLoss(Loss):
def __init__(self):
self.loss = nn.CrossEntropyLoss()
def __call__(s... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/mmpt/losses/loss.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.
"""
TODO (huxu): a general fairseq criterion for all your pre-defined losses.
"""
from fairseq.criterions import FairseqCriterion, register_c... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/mmpt/losses/fairseqmmloss.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.
"""
softmax-based NCE loss, used by this project.
"""
import torch
from torch import nn
from .loss import Loss
class NCE(Loss):
def _... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/mmpt/losses/nce.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 torch
from .. import tasks
from .. import models
from .. import losses
from ..datasets import MMDataset
from .. import processors
cla... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/mmpt/tasks/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.
"""
make a general fairseq task for MM pretraining.
"""
import random
from fairseq.tasks import LegacyFairseqTask, register_task
from .task ... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/mmpt/tasks/fairseqmmtask.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 .task import *
from .vlmtask import *
from .retritask import *
try:
from .fairseqmmtask import *
except ImportError:
pass
try:
... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/mmpt/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 os
import torch
import pickle
import random
from tqdm import tqdm
from torch.utils.data import DataLoader
from torch.utils.data.distrib... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/mmpt/tasks/retritask.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 torch
from .task import Task
class MILNCETask(Task):
def reshape_subsample(self, sample):
if (
hasattr(self.... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/mmpt/tasks/milncetask.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 torch
from .task import Task
class VLMTask(Task):
"""A VLM task for reproducibility.
the collator split subsamples into two s... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/mmpt/tasks/vlmtask.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.
"""
TODO (huxu): fairseq wrapper class for all dataset you defined: mostly MMDataset.
"""
from collections import OrderedDict
from torch.util... | EXA-1-master | exa/libraries/fairseq/examples/MMPT/mmpt/datasets/fairseqmmdataset.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 .mmdataset import *
try:
from .fairseqmmdataset import *
except ImportError:
pass
| EXA-1-master | exa/libraries/fairseq/examples/MMPT/mmpt/datasets/__init__.py |
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