repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/fast_noisy_channel/__init__.py | examples/fast_noisy_channel/__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 noisy_channel_translation # noqa
from . import noisy_channel_sequence_generator # noqa
from . import noisy_channel_beam_search... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/fast_noisy_channel/noisy_channel_beam_search.py | examples/fast_noisy_channel/noisy_channel_beam_search.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.search import Search
class NoisyChannelBeamSearch(Search):
def __init__(self, tgt_dict):
super().__in... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/__init__.py | examples/simultaneous_translation/__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 models # noqa
| python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/tests/test_alignment_train.py | examples/simultaneous_translation/tests/test_alignment_train.py | import unittest
import numpy as np
import torch
import hypothesis.strategies as st
from hypothesis import assume, given, settings
from torch.testing._internal.common_utils import TestCase
from examples.simultaneous_translation.utils.functions import exclusive_cumprod
TEST_CUDA = torch.cuda.is_available()
class Al... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/tests/test_text_models.py | examples/simultaneous_translation/tests/test_text_models.py | import argparse
import unittest
from typing import Any, Dict
import torch
from examples.simultaneous_translation.models import (
transformer_monotonic_attention
)
from tests.test_roberta import FakeTask
DEFAULT_CONFIG = {
"attention_eps": 1e-6,
"mass_preservation": True,
"noise_type": "flat",
"... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/models/transformer_monotonic_attention.py | examples/simultaneous_translation/models/transformer_monotonic_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 typing import Dict, List, NamedTuple, Optional
import torch
import torch.nn as nn
from examples.simultaneous_translation.modules.monoton... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/models/__init__.py | examples/simultaneous_translation/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 importlib
import os
for file in sorted(os.listdir(os.path.dirname(__file__))):
if file.endswith(".py") and not file.startswith("_... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/models/convtransformer_simul_trans.py | examples/simultaneous_translation/models/convtransformer_simul_trans.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 fairseq import checkpoint_uti... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/utils/monotonic_attention.py | examples/simultaneous_translation/utils/monotonic_attention.py | from typing import Optional
import torch
from torch import Tensor
from examples.simultaneous_translation.utils.functions import (
exclusive_cumprod,
prob_check,
moving_sum,
)
def expected_alignment_from_p_choose(
p_choose: Tensor,
padding_mask: Optional[Tensor] = None,
eps: float = 1e-6
):
... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/utils/p_choose_strategy.py | examples/simultaneous_translation/utils/p_choose_strategy.py | from typing import Optional, Dict
from torch import Tensor
import torch
def waitk_p_choose(
tgt_len: int,
src_len: int,
bsz: int,
waitk_lagging: int,
key_padding_mask: Optional[Tensor] = None,
incremental_state: Optional[Dict[str, Dict[str, Optional[Tensor]]]] = None
):
max_src_len = src_... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/utils/__init__.py | examples/simultaneous_translation/utils/__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 importlib
import os
# automatically import any Python files in the criterions/ directory
for file in sorted(os.listdir(os.path.dirnam... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/utils/functions.py | examples/simultaneous_translation/utils/functions.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 prob_check(tensor, eps=1e-10):
assert not torch.isnan(tensor).any(), (
"Nan in a probability tensor."
)
... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/eval/agents/simul_t2t_enja.py | examples/simultaneous_translation/eval/agents/simul_t2t_enja.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 fairseq import checkpoint_utils, tasks
import sentencepiece as spm
import torch
try:
from simuleval import READ_ACTION, W... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/modules/fixed_pre_decision.py | examples/simultaneous_translation/modules/fixed_pre_decision.py | from functools import partial
import torch
from torch import Tensor
import math
import torch.nn.functional as F
from . import register_monotonic_attention
from .monotonic_multihead_attention import (
MonotonicAttention,
MonotonicInfiniteLookbackAttention,
WaitKAttention
)
from typing import Dict, Optional... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/modules/monotonic_multihead_attention.py | examples/simultaneous_translation/modules/monotonic_multihead_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.
import math
import torch
from torch import Tensor
import torch.nn as nn
from examples.simultaneous_translation.utils.p_choose_strategy impor... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/modules/__init__.py | examples/simultaneous_translation/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 os
import importlib
from fairseq import registry
(
build_monotonic_attention,
register_monotonic_attention,
MONOTONIC_ATT... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/simultaneous_translation/modules/monotonic_transformer_layer.py | examples/simultaneous_translation/modules/monotonic_transformer_layer.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.modules import TransformerDecoderLayer, TransformerEncoderLayer
from . import build_monotonic_attention
from typing import Dict... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/rxf/__init__.py | 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 rxf_src # noqa
| python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/rxf/rxf_src/sentence_prediction_r3f.py | 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 utils
from fairseq.criterions import FairseqCriterion, register_... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/rxf/rxf_src/label_smoothed_cross_entropy_r3f.py | 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.
import math
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.logging import metrics
from fairseq.criterion... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/rxf/rxf_src/__init__.py | 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.
from . import label_smoothed_cross_entropy_r3f, sentence_prediction_r3f # noqa
| python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/speech_to_text_head_selection.py | examples/attention_head_selection/src/speech_to_text_head_selection.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.optim.amp_optimizer import AMPOptimizer
from fairseq.tasks import register_task
from fairseq.tasks.speech_to_text im... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/__init__.py | examples/attention_head_selection/src/__init__.py | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false | |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/loss/__init__.py | examples/attention_head_selection/src/loss/__init__.py | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false | |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/loss/attention_head_selection.py | examples/attention_head_selection/src/loss/attention_head_selection.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 HeadSelectionLoss(_Loss):
def __init__(self, args):
sup... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/models/head_selection_transformer.py | examples/attention_head_selection/src/models/head_selection_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, List, Dict, Optional
import torch
import torch.nn as nn
from torch import Tensor
from fairseq.utils import safe_hasat... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/models/head_selection_s2t_transformer.py | examples/attention_head_selection/src/models/head_selection_s2t_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.
import logging
from typing import Dict, List, Optional
from pathlib import Path
import torch.nn as nn
from torch import Tensor
from fairseq im... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/models/__init__.py | examples/attention_head_selection/src/models/__init__.py | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false | |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/modules/head_selection_transformer_layer.py | examples/attention_head_selection/src/modules/head_selection_transformer_layer.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.utils import safe_getattr
from fairseq.modules import TransformerEncoderLayer, TransformerDecoderLayer
from ..modules.multihead_a... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/modules/attn_head_selector.py | examples/attention_head_selection/src/modules/attn_head_selector.py | # 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 math
class AttnHeadSelector(nn.Module):
"""
Latent variable modeling of attention head selection
"""
def __init__(
self, num_ta... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/modules/multihead_functional.py | examples/attention_head_selection/src/modules/multihead_functional.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 Optional, Tuple
import torch
from torch import Tensor
from torch.nn.functional import (
linear, softmax, dropout, pad,
... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/modules/multihead_attention_selection.py | examples/attention_head_selection/src/modules/multihead_attention_selection.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 Dict, Optional, Tuple
import torch
from fairseq import utils
from fairseq.modules.quant_noise import quant_noise
from torch... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/modules/__init__.py | examples/attention_head_selection/src/modules/__init__.py | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false | |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/data/speech_to_text_dataset_with_domain.py | examples/attention_head_selection/src/data/speech_to_text_dataset_with_domain.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 pathlib import Path
from typing import Dict, List, Optional
from dataclasses import dataclass
import torch
from fairseq.d... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/attention_head_selection/src/data/__init__.py | examples/attention_head_selection/src/data/__init__.py | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false | |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/pgslm/data_utils.py | examples/textless_nlp/pgslm/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 torch
from tqdm import tqdm
class Stat:
def __init__(self, keep_raw=False):
self.x = 0.0
self.x2 = 0.0
... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/pgslm/naive_decoder.py | examples/textless_nlp/pgslm/naive_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 torch
import warnings
class Naive_F0_Decoder(torch.nn.Module):
def __init__(self, bounds_path, n_units=32):
super().__init... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/pgslm/preprocess_f0.py | examples/textless_nlp/pgslm/preprocess_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 os
import torch
from tqdm import tqdm
from data_utils import load_audio_path
from fairseq.data.codedataset import get_f0_by_filename
d... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/pgslm/generate_waveform.py | examples/textless_nlp/pgslm/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.
import ast
import argparse
import json
import logging
from pathlib import Path
import soundfile as sf
import torch
from tqdm import tqdm
fro... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/pgslm/inference_dataset.py | examples/textless_nlp/pgslm/inference_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 torch
class InferenceDataset:
def __init__(
self,
dataset,
prefix,
only_prefix=True,
pres... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/pgslm/prepare_dataset.py | examples/textless_nlp/pgslm/prepare_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 multiprocessing import Pool
import os
from collections import defaultdict
from itertools import starmap
import torch
from npy_append_arr... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/pgslm/truncated_laplace.py | examples/textless_nlp/pgslm/truncated_laplace.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 warnings
def truncated_laplace(mean, T, truncate_by_zero=False):
"""Generating a sample from a Laplace distribution, ... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/pgslm/quantize_f0.py | examples/textless_nlp/pgslm/quantize_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.
from collections import defaultdict
from functools import partial
import numpy as np
import torch
from tqdm import tqdm
from data_utils impor... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/pgslm/scripts/join_units_manifest.py | examples/textless_nlp/pgslm/scripts/join_units_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 json
import argparse
import pathlib
def main():
parser = argparse.ArgumentParser()
parser.add_argument("--manifest", required=... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/pgslm/eval/cont_metrics.py | examples/textless_nlp/pgslm/eval/cont_metrics.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
import scipy
import torch
import torch.multiprocessing as mp
from fairseq import checkpoint_utils, options
from ... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/pgslm/eval/__init__.py | examples/textless_nlp/pgslm/eval/__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.
| python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/pgslm/sample/__init__.py | examples/textless_nlp/pgslm/sample/__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.
| python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/pgslm/sample/sample.py | examples/textless_nlp/pgslm/sample/sample.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.multiprocessing as mp
import numpy as np
import json
import torch
from torch.distributions.categorical import Categori... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/dgslm/sample_speech_dlm.py | examples/textless_nlp/dgslm/sample_speech_dlm.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 ast
import argparse
import logging
import torch
from fairseq import utils
from fairseq.models.speech_dlm import SpeechDLM
l... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/dgslm/dgslm_utils.py | examples/textless_nlp/dgslm/dgslm_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
import json
from fairseq import utils
from fairseq.models.text_to_speech.vocoder import CodeHiFiGANVocoder
#... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/dgslm/create_code_file.py | examples/textless_nlp/dgslm/create_code_file.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 main():
"""
Create code file with the following format:
{'audio': 'file1', 'unitA': 'file1_chnl1_units',... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/dgslm/vocoder_hifigan/generate_stereo_waveform.py | examples/textless_nlp/dgslm/vocoder_hifigan/generate_stereo_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.
import ast
import argparse
import json
import logging
from pathlib import Path
import soundfile as sf
import torch
from tqdm import tqdm
fro... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/tools/resynthesize_speech.py | examples/textless_nlp/gslm/tools/resynthesize_speech.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 gc
import logging
import os
import joblib
import soundfile as sf
import torch
from examples.textless_nlp.gslm.speech2u... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/ulm/sample.py | examples/textless_nlp/gslm/ulm/sample.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.
"""
Sample from a trained LM; hacked fairseq-interactive
"""
from collections import namedtuple
import os
import ast
... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/metrics/abx_metrics/dump_abx_feats.py | examples/textless_nlp/gslm/metrics/abx_metrics/dump_abx_feats.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 joblib
import numpy as np
from examples.textless_nlp.gslm.speech2unit.clustering.utils impor... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/metrics/asr_metrics/self_auto_bleu.py | examples/textless_nlp/gslm/metrics/asr_metrics/self_auto_bleu.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 nltk
from misc.bleu_utils import sentence_bleu
import warnings
def get_target_sequences(manifest, ground_truth, to... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/metrics/asr_metrics/ppx.py | examples/textless_nlp/gslm/metrics/asr_metrics/ppx.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 numpy as np
import warnings
def get_target_sequences(manifest, ground_truth, to_take=1000):
import json
import ... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/metrics/asr_metrics/continuation_eval.py | examples/textless_nlp/gslm/metrics/asr_metrics/continuation_eval.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 defaultdict
import numpy as np
from misc.bleu_utils import sentence_bleu
import json
import warnings
def get_args()... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/metrics/asr_metrics/misc/cut_as.py | examples/textless_nlp/gslm/metrics/asr_metrics/misc/cut_as.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 torchaudio
import argparse
import json
import pathlib
def get_args():
parser = argparse.ArgumentParser(
"Assuring genera... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/metrics/asr_metrics/misc/bleu_utils.py | examples/textless_nlp/gslm/metrics/asr_metrics/misc/bleu_utils.py | """
TODO: the code is take from Apache-2 Licensed NLTK: make sure we do this properly!
Copied over from nltk.tranlate.bleu_score. This code has two major changes:
- allows to turn off length/brevity penalty --- it has no sense for self-bleu,
- allows to use arithmetic instead of geometric mean
"""
import math
imp... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/tts_data.py | examples/textless_nlp/gslm/unit2speech/tts_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 torch
import numpy as np
from examples.textless_nlp.gslm.unit2speech.tacotron2.text import (
EOS_TOK,
SOS_TOK,
code_to_seq... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/synthesize_audio_from_units.py | examples/textless_nlp/gslm/unit2speech/synthesize_audio_from_units.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 soundfile as sf
from examples.textless_nlp.gslm.unit2speech.tts_data import (
TacotronInp... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/utils.py | examples/textless_nlp/gslm/unit2speech/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 torch
from examples.textless_nlp.gslm.unit2speech.tacotron2.model import Tacotron2
from examples.textless_nlp.gslm.unit2speech.tacotro... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/convert_to_16k.py | examples/textless_nlp/gslm/unit2speech/convert_to_16k.py | import os
import shlex
import subprocess
import progressbar
from time import time
from pathlib import Path
def find_all_files(path_dir, extension):
out = []
for root, dirs, filenames in os.walk(path_dir):
for f in filenames:
if f.endswith(extension):
out.append(((str(Path(f)... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/multiproc.py | examples/textless_nlp/gslm/unit2speech/multiproc.py | import os
import time
import torch
import sys
import subprocess
argslist = list(sys.argv)[1:]
log_dir = argslist[-1]
num_gpus = torch.cuda.device_count()
argslist.append('--n_gpus={}'.format(num_gpus))
workers = []
job_id = time.strftime("%Y_%m_%d-%H%M%S")
argslist.append("--group_name=group_{}".format(job_id))
print... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/glow.py | examples/textless_nlp/gslm/unit2speech/glow.py | # *****************************************************************************
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/tacotron2/cmudict.py | examples/textless_nlp/gslm/unit2speech/tacotron2/cmudict.py | """ from https://github.com/keithito/tacotron """
import re
valid_symbols = [
'AA', 'AA0', 'AA1', 'AA2', 'AE', 'AE0', 'AE1', 'AE2', 'AH', 'AH0', 'AH1', 'AH2',
'AO', 'AO0', 'AO1', 'AO2', 'AW', 'AW0', 'AW1', 'AW2', 'AY', 'AY0', 'AY1', 'AY2',
'B', 'CH', 'D', 'DH', 'EH', 'EH0', 'EH1', 'EH2', 'ER', 'ER0', 'ER1', 'E... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/tacotron2/symbols.py | examples/textless_nlp/gslm/unit2speech/tacotron2/symbols.py | """ from https://github.com/keithito/tacotron """
'''
Defines the set of symbols used in text input to the model.
The default is a set of ASCII characters that works well for English or text that has been run through Unidecode. For other data, you can modify _characters. See TRAINING_DATA.md for details. '''
from . i... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/tacotron2/stft.py | examples/textless_nlp/gslm/unit2speech/tacotron2/stft.py | """
BSD 3-Clause License
Copyright (c) 2017, Prem Seetharaman
All rights reserved.
* Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice,
this list of... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/tacotron2/cleaners.py | examples/textless_nlp/gslm/unit2speech/tacotron2/cleaners.py | """ from https://github.com/keithito/tacotron """
'''
Cleaners are transformations that run over the input text at both training and eval time.
Cleaners can be selected by passing a comma-delimited list of cleaner names as the "cleaners"
hyperparameter. Some cleaners are English-specific. You'll typically want to use... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/tacotron2/numbers.py | examples/textless_nlp/gslm/unit2speech/tacotron2/numbers.py | """ from https://github.com/keithito/tacotron """
import inflect
import re
_inflect = inflect.engine()
_comma_number_re = re.compile(r'([0-9][0-9\,]+[0-9])')
_decimal_number_re = re.compile(r'([0-9]+\.[0-9]+)')
_pounds_re = re.compile(r'£([0-9\,]*[0-9]+)')
_dollars_re = re.compile(r'\$([0-9\.\,]*[0-9]+)')
_ordinal_r... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/tacotron2/audio_processing.py | examples/textless_nlp/gslm/unit2speech/tacotron2/audio_processing.py | import torch
import numpy as np
from scipy.signal import get_window
import librosa.util as librosa_util
def window_sumsquare(window, n_frames, hop_length=200, win_length=800,
n_fft=800, dtype=np.float32, norm=None):
"""
# from librosa 0.6
Compute the sum-square envelope of a window fu... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/tacotron2/model.py | examples/textless_nlp/gslm/unit2speech/tacotron2/model.py | from math import sqrt
import torch
import torch.distributions as distr
from torch.autograd import Variable
from torch import nn
from torch.nn import functional as F
from .layers import ConvNorm, LinearNorm, GlobalAvgPool
from .utils import to_gpu, get_mask_from_lengths
class LocationLayer(nn.Module):
def __init__... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/tacotron2/utils.py | examples/textless_nlp/gslm/unit2speech/tacotron2/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 collections
import io
import json
import librosa
import numpy as np
import soundfile as sf
import time
import torch
from scipy.io.wavfi... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/tacotron2/waveglow_denoiser.py | examples/textless_nlp/gslm/unit2speech/tacotron2/waveglow_denoiser.py | # import sys
# sys.path.append('tacotron2')
import torch
from .layers import STFT
class Denoiser(torch.nn.Module):
""" Removes model bias from audio produced with waveglow """
def __init__(self, waveglow, filter_length=1024, n_overlap=4,
win_length=1024, mode='zeros'):
super(Denoiser... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/tacotron2/__init__.py | examples/textless_nlp/gslm/unit2speech/tacotron2/__init__.py | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false | |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/tacotron2/text.py | examples/textless_nlp/gslm/unit2speech/tacotron2/text.py | """ from https://github.com/keithito/tacotron """
import numpy as np
import re
from . import cleaners
from .symbols import symbols
# Mappings from symbol to numeric ID and vice versa:
_symbol_to_id = {s: i for i, s in enumerate(symbols)}
_id_to_symbol = {i: s for i, s in enumerate(symbols)}
# Regular expression matc... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/unit2speech/tacotron2/layers.py | examples/textless_nlp/gslm/unit2speech/tacotron2/layers.py | import torch
from librosa.filters import mel as librosa_mel_fn
from .audio_processing import dynamic_range_compression
from .audio_processing import dynamic_range_decompression
from .stft import STFT
from .utils import get_mask_from_lengths
class LinearNorm(torch.nn.Module):
def __init__(self, in_dim, out_dim, bi... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/speech2unit/__init__.py | examples/textless_nlp/gslm/speech2unit/__init__.py | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false | |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/speech2unit/clustering/dump_feats.py | examples/textless_nlp/gslm/speech2unit/clustering/dump_feats.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 examples.textless_nlp.gslm.speech2unit.pretrained.utils import (
get_and_dump_features,
)
def get_p... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/speech2unit/clustering/quantize_with_kmeans.py | examples/textless_nlp/gslm/speech2unit/clustering/quantize_with_kmeans.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 numpy as np
import joblib
from examples.textless_nlp.gslm.speech2unit.clustering.utils impor... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/speech2unit/clustering/utils.py | examples/textless_nlp/gslm/speech2unit/clustering/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 typing import List, Tuple
def get_audio_files(manifest_path: str) -> Tuple[str, List[str], List[int]]:
fnames, sizes = [], []
w... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/speech2unit/clustering/cluster_kmeans.py | examples/textless_nlp/gslm/speech2unit/clustering/cluster_kmeans.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 time
import numpy as np
from sklearn.cluster import MiniBatchKMeans
import joblib
from examp... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/speech2unit/clustering/__init__.py | examples/textless_nlp/gslm/speech2unit/clustering/__init__.py | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false | |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/speech2unit/pretrained/hubert_feature_reader.py | examples/textless_nlp/gslm/speech2unit/pretrained/hubert_feature_reader.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 fairseq
import soundfile as sf
import torch.nn.functional as F
class HubertFeatureReader:
"""
Wrapper class to r... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/speech2unit/pretrained/logmel_feature_reader.py | examples/textless_nlp/gslm/speech2unit/pretrained/logmel_feature_reader.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 soundfile as sf
import torch
import torchaudio.compliance.kaldi as kaldi
class LogMelFeatureReader:
"""
Wrapper class to run ... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/speech2unit/pretrained/utils.py | examples/textless_nlp/gslm/speech2unit/pretrained/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 gc
import os
import random
import shutil
import numpy as np
import torch
import tqdm
from examples.textless_nlp.gslm.speech2unit.pretr... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/speech2unit/pretrained/cpc_feature_reader.py | examples/textless_nlp/gslm/speech2unit/pretrained/cpc_feature_reader.py | import soundfile as sf
import torch
import torch.nn as nn
import torch.nn.functional as F
class CpcFeatureReader:
"""
Wrapper class to run inference on CPC model.
Helps extract features for a given audio file.
"""
def __init__(
self,
checkpoint_path,
layer,
use_enc... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/textless_nlp/gslm/speech2unit/pretrained/w2v2_feature_reader.py | examples/textless_nlp/gslm/speech2unit/pretrained/w2v2_feature_reader.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 fairseq
import soundfile as sf
class Wav2VecFeatureReader:
"""
Wrapper class to run inference on Wav2Vec 2.0 mod... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/backtranslation/deduplicate_lines.py | examples/backtranslation/deduplicate_lines.py | #!/usr/bin/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 fileinput
import hashlib
import sys
from multiprocessing import Pool
def get_hashes_and_lines(raw_... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/backtranslation/extract_bt_data.py | examples/backtranslation/extract_bt_data.py | #!/usr/bin/env python
# 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
from tqdm import tqdm
def main():
parser = argparse.ArgumentParser(
desc... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/roberta/preprocess_RACE.py | examples/roberta/preprocess_RACE.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... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/roberta/multiprocessing_bpe_encoder.py | 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 contextlib
import sys
from collections import Counter
from multiprocessing imp... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/roberta/commonsense_qa/commonsense_qa_task.py | examples/roberta/commonsense_qa/commonsense_qa_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 json
import os
import numpy as np
import torch
from fairseq.data import (
Dictionary,
IdDataset,
ListDataset,
NestedDi... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/roberta/commonsense_qa/__init__.py | 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.
from . import commonsense_qa_task # noqa
| python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/roberta/wsc/wsc_utils.py | 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 json
from functools import lru_cache
def convert_sentence_to_json(sentence):
if "_" in sentence:
prefix, rest = sentence.... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/roberta/wsc/wsc_task.py | 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.
import json
import os
import tempfile
import numpy as np
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/roberta/wsc/wsc_criterion.py | 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.
import math
import torch
import torch.nn.functional as F
from fairseq import utils
from fairseq.criterions import LegacyFairseqCriterion, reg... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/roberta/wsc/__init__.py | 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.
from . import wsc_criterion # noqa
from . import wsc_task # noqa
| python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
facebookresearch/fairseq | https://github.com/facebookresearch/fairseq/blob/3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99/examples/unsupervised_quality_estimation/meteor.py | examples/unsupervised_quality_estimation/meteor.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
import os
import subprocess
import sys
import tempfile
from collections import defaultdict
from itertools import c... | python | MIT | 3d262bb25690e4eb2e7d3c1309b1e9c406ca4b99 | 2026-01-04T14:42:59.188867Z | false |
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