repo stringlengths 1 99 | file stringlengths 13 215 | code stringlengths 12 59.2M | file_length int64 12 59.2M | avg_line_length float64 3.82 1.48M | max_line_length int64 12 2.51M | extension_type stringclasses 1
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GLAT | GLAT-main/fairseq/model_parallel/models/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
import torch.nn as nn
from fairseq.model_parallel.modules import (
ModelParallelTransformerDecoderLayer,
ModelParallel... | 3,907 | 31.032787 | 95 | py |
GLAT | GLAT-main/fairseq/model_parallel/models/transformer_lm.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.nn as nn
from fairseq.model_parallel.models.transformer import ModelParallelTransformerDecoder
from fairseq.models import registe... | 7,679 | 42.885714 | 88 | py |
GLAT | GLAT-main/fairseq/model_parallel/models/pipeline_parallel_transformer/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 logging
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import utils
from fairseq.model_parallel.model... | 33,560 | 42.699219 | 151 | py |
GLAT | GLAT-main/fairseq/model_parallel/models/pipeline_parallel_transformer/layers.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 collections import namedtuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from fairseq import options... | 22,695 | 36.763727 | 92 | py |
GLAT | GLAT-main/fairseq/model_parallel/models/roberta/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.
"""
RoBERTa: A Robustly Optimized BERT Pretraining Approach.
"""
import logging
import torch
import torch.nn as nn
import torch.nn.functional... | 8,003 | 34.415929 | 88 | py |
GLAT | GLAT-main/fairseq/optim/bmuf.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
import torch.distributed as dist
from fairseq.dataclass.configs import FairseqBMUFConfi... | 7,449 | 36.064677 | 90 | py |
GLAT | GLAT-main/fairseq/optim/nag.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.abc import Collection
from dataclasses import dataclass, field
from typing import List
import torch
from fairseq.dataclass i... | 3,731 | 32.321429 | 87 | py |
GLAT | GLAT-main/fairseq/optim/sgd.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.optim
from . import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("sgd")
class SGD(LegacyFairseqOptimizer):
... | 1,442 | 31.795455 | 92 | py |
GLAT | GLAT-main/fairseq/optim/cpu_adam.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
from collections.abc import Collection
from dataclasses import dataclass, field
from typing import List
import torch
from fa... | 6,401 | 33.053191 | 86 | py |
GLAT | GLAT-main/fairseq/optim/composite.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from collections import defaultdict
from dataclasses import dataclass, field
from typing import Dict, Any, List, Optional
impo... | 6,452 | 34.070652 | 118 | py |
GLAT | GLAT-main/fairseq/optim/shard.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
from fairseq.distributed import utils
try:
from fairscale.optim import OSS
_has_fairscale = True
exce... | 1,624 | 26.542373 | 85 | py |
GLAT | GLAT-main/fairseq/optim/adamax.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.optim
from . import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("adamax")
class FairseqAdamax(... | 6,225 | 34.988439 | 92 | py |
GLAT | GLAT-main/fairseq/optim/fp16_optimizer.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 itertools import chain
import torch
from fairseq import optim
from omegaconf import DictConfig
from... | 20,940 | 38.142056 | 136 | py |
GLAT | GLAT-main/fairseq/optim/adam.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import math
from collections.abc import Collection
from dataclasses import dataclass, field
from typing import List
import tor... | 8,560 | 36.713656 | 100 | py |
GLAT | GLAT-main/fairseq/optim/adafactor.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.optim
from . import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("adafactor")
clas... | 10,902 | 39.531599 | 92 | py |
GLAT | GLAT-main/fairseq/optim/fused_adam.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 types
import torch
def get_fused_adam_class():
"""
Look for the FusedAdam optimizer from apex. We first try to load the
... | 13,309 | 37.137536 | 104 | py |
GLAT | GLAT-main/fairseq/optim/adagrad.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.optim
from . import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("adagrad")
class Adagrad(LegacyFairseqOptim... | 1,279 | 30.219512 | 92 | py |
GLAT | GLAT-main/fairseq/optim/fairseq_optimizer.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 import utils
from fairseq.dataclass.utils import gen_parser_from_dataclass
class FairseqOptimizer(object):
def... | 6,176 | 33.316667 | 87 | py |
GLAT | GLAT-main/fairseq/optim/adadelta.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.optim
from . import LegacyFairseqOptimizer, register_optimizer
@register_optimizer("adadelta")
class Adadelta(LegacyFairseqOpt... | 1,835 | 37.25 | 105 | py |
GLAT | GLAT-main/fairseq/optim/lr_scheduler/inverse_square_root_schedule.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.abc import Collection
from dataclasses import dataclass, field
from typing import List
from omegaconf import II
from fairse... | 3,232 | 36.593023 | 87 | py |
GLAT | GLAT-main/fairseq/optim/lr_scheduler/tri_stage_lr_scheduler.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, List, Tuple
from omegaconf import II
from fairseq.dataclass... | 5,766 | 31.767045 | 87 | py |
GLAT | GLAT-main/fairseq/optim/lr_scheduler/reduce_lr_on_plateau.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
from typing import List
import torch.optim.lr_scheduler
from omegaconf import II
from fairseq.datac... | 5,009 | 33.791667 | 87 | py |
GLAT | GLAT-main/fairseq/optim/lr_scheduler/cosine_lr_scheduler.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 collections.abc import Collection
from dataclasses import dataclass, field
from typing import List
from omegaconf import II
... | 5,307 | 34.864865 | 87 | py |
GLAT | GLAT-main/fairseq/distributed/module_proxy_wrapper.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 import nn
class ModuleProxyWrapper(nn.Module):
"""
Wrap a DistributedDataParallel module and forward requests for missing... | 1,957 | 33.964286 | 79 | py |
GLAT | GLAT-main/fairseq/distributed/tpu_distributed_data_parallel.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 torch import nn
from fairseq.distributed import utils
class TPUDistributedDataParallel(nn.Module):
def __init__(self... | 1,284 | 28.204545 | 86 | py |
GLAT | GLAT-main/fairseq/distributed/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 io
import logging
import os
import pickle
import random
import socket
import struct
import subprocess
import warnings
from argparse imp... | 29,169 | 35.416979 | 107 | py |
GLAT | GLAT-main/fairseq/distributed/legacy_distributed_data_parallel.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.
"""
A modified version of the legacy DistributedDataParallel module that uses c10d
communication primitives. This version is simpler than the ... | 5,951 | 35.968944 | 88 | py |
GLAT | GLAT-main/fairseq/distributed/distributed_timeout_wrapper.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import signal
import threading
from torch import nn
logger = logging.getLogger(__name__)
class DistributedTimeou... | 3,041 | 31.021053 | 78 | py |
GLAT | GLAT-main/fairseq/scoring/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 ctypes
import math
import sys
from dataclasses import dataclass, field
import torch
from fairseq.dataclass import FairseqDataclass
fro... | 5,310 | 30.613095 | 88 | py |
GLAT | GLAT-main/fairseq/benchmark/dummy_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 torch.nn as nn
import torch.nn.functional as F
from fairseq.data import Dictionary
from fairseq.models import (
FairseqDecoder,
... | 3,090 | 30.865979 | 84 | py |
GLAT | GLAT-main/fairseq/benchmark/dummy_mt.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import numpy as np
import torch
from fairseq.data import Dictionary, FairseqDataset
from fairseq.tasks import LegacyFairseqTas... | 3,678 | 29.658333 | 84 | py |
GLAT | GLAT-main/fairseq/benchmark/dummy_masked_lm.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import numpy as np
import torch
from fairseq.data import Dictionary, FairseqDataset
from fairseq.tasks import LegacyFairseqTas... | 3,822 | 28.867188 | 84 | py |
GLAT | GLAT-main/fairseq/benchmark/dummy_lm.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
from dataclasses import dataclass, field
from typing import Optional
import numpy as np
import torch
from fairseq.data import ... | 3,497 | 28.394958 | 84 | py |
GLAT | GLAT-main/fairseq/data/language_pair_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 logging
import numpy as np
import torch
from fairseq.data import FairseqDataset, data_utils
logger = logging.getLogger(__name__)
d... | 19,004 | 39.264831 | 90 | py |
GLAT | GLAT-main/fairseq/data/token_block_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 numpy as np
import torch
from fairseq.data import FairseqDataset, plasma_utils
from fairseq.data.indexed_dataset import best_fitting_in... | 6,309 | 34.852273 | 87 | py |
GLAT | GLAT-main/fairseq/data/subsample_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 logging
import numpy as np
from . import BaseWrapperDataset
logger = logging.getLogger(__name__)
class SubsampleDataset(BaseWrapp... | 2,117 | 28.013699 | 101 | py |
GLAT | GLAT-main/fairseq/data/prepend_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 numpy as np
import torch
from . import BaseWrapperDataset
class PrependDataset(BaseWrapperDataset):
def __init__(self, dataset, ... | 953 | 31.896552 | 83 | py |
GLAT | GLAT-main/fairseq/data/base_wrapper_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 torch.utils.data.dataloader import default_collate
from . import FairseqDataset
class BaseWrapperDataset(FairseqDataset):
def __in... | 2,153 | 26.265823 | 70 | py |
GLAT | GLAT-main/fairseq/data/raw_label_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
from . import FairseqDataset
class RawLabelDataset(FairseqDataset):
def __init__(self, labels):
super().__init__()... | 546 | 21.791667 | 65 | py |
GLAT | GLAT-main/fairseq/data/resampling_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 logging
import numpy as np
from fairseq.data import BaseWrapperDataset, plasma_utils
logger = logging.getLogger(__name__)
class Re... | 4,316 | 29.835714 | 78 | py |
GLAT | GLAT-main/fairseq/data/dictionary.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 collections import Counter
from multiprocessing import Pool
import torch
from fairseq import utils
from fairseq.binarizer impo... | 13,081 | 32.118987 | 104 | py |
GLAT | GLAT-main/fairseq/data/append_token_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 numpy as np
import torch
from . import BaseWrapperDataset
class AppendTokenDataset(BaseWrapperDataset):
def __init__(self, datas... | 1,065 | 24.380952 | 65 | py |
GLAT | GLAT-main/fairseq/data/fasta_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 os
import subprocess
import threading
from pathlib import Path
import numpy as np
import torch
def fasta_file_path(prefix_path):
... | 3,387 | 30.37037 | 107 | py |
GLAT | GLAT-main/fairseq/data/mask_tokens_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 functools import lru_cache
import numpy as np
import torch
from fairseq.data import Dictionary, data_utils
from . import BaseWrapperDat... | 8,777 | 38.719457 | 102 | py |
GLAT | GLAT-main/fairseq/data/concat_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 bisect
import numpy as np
from torch.utils.data.dataloader import default_collate
from . import FairseqDataset
class ConcatDataset(... | 4,645 | 36.168 | 86 | py |
GLAT | GLAT-main/fairseq/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.
try:
from collections.abc import Iterable
except ImportError:
from collections import Iterable
import contextlib
import itertools
impo... | 19,112 | 35.130435 | 120 | py |
GLAT | GLAT-main/fairseq/data/nested_dictionary_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 collections import OrderedDict
import torch
from torch.utils.data.dataloader import default_collate
from . import FairseqDataset
def ... | 4,029 | 30.984127 | 86 | py |
GLAT | GLAT-main/fairseq/data/add_target_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
from . import BaseWrapperDataset, data_utils
class AddTargetDataset(BaseWrapperDataset):
def __init__(
self,
... | 2,183 | 29.760563 | 88 | py |
GLAT | GLAT-main/fairseq/data/transform_eos_lang_pair_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 typing import Optional
import torch
from . import FairseqDataset
class TransformEosLangPairDataset(FairseqDataset):
"""A :class:... | 3,732 | 33.247706 | 98 | py |
GLAT | GLAT-main/fairseq/data/lm_context_window_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 numpy as np
import torch
from typing import Dict
from fairseq.data.monolingual_dataset import MonolingualDataset
from . import Fairse... | 3,381 | 33.510204 | 90 | py |
GLAT | GLAT-main/fairseq/data/colorize_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
from . import BaseWrapperDataset
class ColorizeDataset(BaseWrapperDataset):
""" Adds 'colors' property to net input that i... | 845 | 31.538462 | 113 | py |
GLAT | GLAT-main/fairseq/data/iterators.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 logging
import math
import operator
import os
import queue
import time
from threading import Thread
import numpy as n... | 23,020 | 34.200306 | 94 | py |
GLAT | GLAT-main/fairseq/data/backtranslation_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
from fairseq import utils
from . import FairseqDataset
def backtranslate_samples(samples, collate_fn, generate_fn, cuda=True):... | 6,247 | 36.638554 | 84 | py |
GLAT | GLAT-main/fairseq/data/monolingual_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 numpy as np
import torch
from . import FairseqDataset, data_utils
def collate(samples, pad_idx, eos_idx):
if len(samples) == 0:
... | 7,981 | 33.554113 | 110 | py |
GLAT | GLAT-main/fairseq/data/roll_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
from . import BaseWrapperDataset
class RollDataset(BaseWrapperDataset):
def __init__(self, dataset, shifts):
super... | 485 | 24.578947 | 65 | py |
GLAT | GLAT-main/fairseq/data/replace_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 . import BaseWrapperDataset
class ReplaceDataset(BaseWrapperDataset):
"""Replaces tokens found in the dataset by a specified replac... | 1,370 | 36.054054 | 113 | py |
GLAT | GLAT-main/fairseq/data/id_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
from . import FairseqDataset
class IdDataset(FairseqDataset):
def __getitem__(self, index):
return index
def ... | 423 | 20.2 | 65 | py |
GLAT | GLAT-main/fairseq/data/indexed_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 shutil
import struct
from functools import lru_cache
import numpy as np
import torch
from fairseq.dataclass.constants import DATASET_I... | 17,749 | 29.762565 | 102 | py |
GLAT | GLAT-main/fairseq/data/denoising_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 math
import numpy as np
import torch
from . import FairseqDataset, data_utils
def collate(
samples,
pad_idx,
eos_idx,
... | 15,627 | 34.762014 | 88 | py |
GLAT | GLAT-main/fairseq/data/prepend_token_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 numpy as np
import torch
from . import BaseWrapperDataset
class PrependTokenDataset(BaseWrapperDataset):
def __init__(self, data... | 1,066 | 24.404762 | 65 | py |
GLAT | GLAT-main/fairseq/data/numel_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 numpy as np
import torch
from . import BaseWrapperDataset
class NumelDataset(BaseWrapperDataset):
def __init__(self, dataset, re... | 786 | 23.59375 | 65 | py |
GLAT | GLAT-main/fairseq/data/noising.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import numpy as np
import torch
from fairseq.data import data_utils
class WordNoising(object):
"""Generate a noisy version of a sentence... | 12,383 | 36.077844 | 88 | py |
GLAT | GLAT-main/fairseq/data/bucket_pad_length_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 numpy as np
import torch.nn.functional as F
from fairseq.data import BaseWrapperDataset
class BucketPadLengthDataset(BaseWrapperDatas... | 2,260 | 28.363636 | 79 | py |
GLAT | GLAT-main/fairseq/data/concat_sentences_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
from . import FairseqDataset
class ConcatSentencesDataset(FairseqDataset):
def __init__(self, *datasets):
super().... | 1,558 | 27.345455 | 83 | py |
GLAT | GLAT-main/fairseq/data/fairseq_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 logging
import numpy as np
import torch.utils.data
from fairseq.data import data_utils
logger = logging.getLogger(__name__)
class Ep... | 7,123 | 33.582524 | 91 | py |
GLAT | GLAT-main/fairseq/data/transform_eos_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
from . import FairseqDataset
class TransformEosDataset(FairseqDataset):
"""A :class:`~fairseq.data.FairseqDataset` wrapper... | 4,575 | 36.818182 | 88 | py |
GLAT | GLAT-main/fairseq/data/multilingual/sampled_multi_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 datetime
import hashlib
import logging
import time
from bisect import bisect_right
from collections import OrderedDict, defaultdict
fro... | 18,342 | 38.194444 | 119 | py |
GLAT | GLAT-main/fairseq/data/multilingual/multilingual_utils.py | from enum import Enum
from typing import Dict, List, Optional, Sequence
import torch
from fairseq.data import Dictionary
class EncoderLangtok(Enum):
"""
Prepend to the beginning of source sentence either the
source or target language token. (src/tgt).
"""
src = "src"
tgt = "tgt"
class Lang... | 1,623 | 24.375 | 85 | py |
GLAT | GLAT-main/fairseq/data/multilingual/sampled_multi_epoch_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 hashlib
import logging
import math
import numpy as np
from fairseq.data import SampledMultiDataset
from .sampled_multi_dataset import... | 7,827 | 38.14 | 119 | py |
GLAT | GLAT-main/fairseq/data/audio/raw_audio_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 logging
import os
import sys
import numpy as np
import torch
import torch.nn.functional as F
from .. import FairseqDataset
logger ... | 5,267 | 28.762712 | 88 | py |
GLAT | GLAT-main/fairseq/data/audio/audio_utils.py | import os.path as op
from typing import BinaryIO, Optional, Tuple, Union
import numpy as np
def get_waveform(
path_or_fp: Union[str, BinaryIO], normalization=True
) -> Tuple[np.ndarray, int]:
"""Get the waveform and sample rate of a 16-bit mono-channel WAV or FLAC.
Args:
path_or_fp (str or Binar... | 3,332 | 34.457447 | 95 | py |
GLAT | GLAT-main/fairseq/data/audio/speech_to_text_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 csv
import io
import logging
import os.path as op
import re
from typing import Dict, List, Optional, Tuple
import numpy as np
import t... | 18,963 | 34.848771 | 87 | py |
GLAT | GLAT-main/fairseq/data/encoders/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 fairseq.data import encoders
def get_whole_word_mask(args, dictionary):
bpe = encoders.build_bpe(args)
if bpe is n... | 909 | 28.354839 | 67 | py |
GLAT | GLAT-main/fairseq/data/legacy/block_pair_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 math
import numpy as np
import torch
from fairseq.data import FairseqDataset
class BlockPairDataset(FairseqDataset):
"""Break a ... | 12,877 | 40.275641 | 99 | py |
GLAT | GLAT-main/fairseq/data/legacy/masked_lm_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 math
from typing import Dict, List, Tuple
import numpy as np
import torch
from fairseq.data import Dictionary, FairseqDataset, data_ut... | 12,168 | 39.029605 | 88 | py |
GLAT | GLAT-main/fairseq/tasks/translation_from_pretrained_bart.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 import utils
from fairseq.data import LanguagePairDataset
from . import register_task
from .translation import Tran... | 5,247 | 38.458647 | 108 | py |
GLAT | GLAT-main/fairseq/tasks/language_modeling.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
from dataclasses import dataclass, field
from typing import Optional
import numpy as np
import torch
from fairseq im... | 12,813 | 34.693593 | 91 | py |
GLAT | GLAT-main/fairseq/tasks/translation.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from dataclasses import dataclass, field
import itertools
import json
import logging
import os
from typing import Optional
from argparse impor... | 17,409 | 34.971074 | 108 | py |
GLAT | GLAT-main/fairseq/tasks/audio_pretraining.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.
import os
import sys
import torch
... | 10,118 | 34.756184 | 95 | py |
GLAT | GLAT-main/fairseq/tasks/multilingual_masked_lm.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import numpy as np
import torch
from fairseq import utils
from fairseq.data import (
ConcatDataset,
Dictiona... | 12,146 | 34.831858 | 87 | py |
GLAT | GLAT-main/fairseq/tasks/multilingual_translation.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 contextlib
import logging
import os
from collections import OrderedDict
import torch
from fairseq import metrics, options, utils
from ... | 17,895 | 38.074236 | 113 | py |
GLAT | GLAT-main/fairseq/tasks/translation_lev.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 fairseq import utils
from fairseq.data import LanguagePairDataset
from fairseq.data... | 7,419 | 37.645833 | 103 | py |
GLAT | GLAT-main/fairseq/tasks/fairseq_task.py | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import warnings
from argparse import Namespace
from typing import Any, Callable, Dict, List
import torch
from fairse... | 24,197 | 36.170507 | 110 | py |
GLAT | GLAT-main/fairseq/tasks/translation_multi_simple_epoch.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 datetime
import logging
import time
import torch
from fairseq.data import (
FairseqDataset,
LanguagePairDataset,
ListDatas... | 17,275 | 39.083527 | 113 | py |
GLAT | GLAT-main/fairseq_cli/generate.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.
"""
Translate pre-processed data with a trained model.
"""
import ast
import logging
import math
import os
import sy... | 15,541 | 37 | 180 | py |
GLAT | GLAT-main/fairseq_cli/validate.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import sys
from argparse import Namespace
from itertools import chain
import torch
from fa... | 5,160 | 32.953947 | 88 | py |
GLAT | GLAT-main/fairseq_cli/hydra_train.py | #!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import os
import sys
from fairseq.dataclass.initialize import add_defaults, hydra_init
from fairseq_... | 2,754 | 27.697917 | 112 | py |
GLAT | GLAT-main/fairseq_cli/eval_lm.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.
"""
Evaluate the perplexity of a trained language model.
"""
import logging
import math
import os
import sys
from a... | 11,965 | 33.385057 | 108 | py |
GLAT | GLAT-main/fairseq_cli/interactive.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.
"""
Translate raw text with a trained model. Batches data on-the-fly.
"""
import ast
import fileinput
import logging... | 11,436 | 35.078864 | 90 | py |
GLAT | GLAT-main/fairseq_cli/train.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.
"""
Train a new model on one or across multiple GPUs.
"""
import argparse
import logging
import math
import os
impor... | 15,840 | 33.815385 | 108 | py |
CROWN-Robustness-Certification | CROWN-Robustness-Certification-master/train_nlayer.py | ##
## Copyright (C) IBM Corp, 2018
## Copyright (C) Huan Zhang <huan@huan-zhang.com>, 2018
## Copyright (C) Tsui-Wei Weng <twweng@mit.edu>, 2018
##
## This program is licenced under the Apache-2.0 licence,
## contained in the LICENCE file in this directory.
##
import numpy as np
from tensorflow.contrib.keras.api.ke... | 7,782 | 45.60479 | 145 | py |
CROWN-Robustness-Certification | CROWN-Robustness-Certification-master/setup_mnist.py | ##
## Copyright (C) IBM Corp, 2018
## Copyright (C) Huan Zhang <huan@huan-zhang.com>, 2018
## Copyright (C) Tsui-Wei Weng <twweng@mit.edu>, 2018
##
## This program is licenced under the Apache-2.0 licence,
## contained in the LICENCE file in this directory.
##
import tensorflow as tf
import numpy as np
import os
imp... | 8,926 | 34.284585 | 100 | py |
CROWN-Robustness-Certification | CROWN-Robustness-Certification-master/setup_cifar.py | ##
## Copyright (C) IBM Corp, 2018
## Copyright (C) Huan Zhang <huan@huan-zhang.com>, 2018
## Copyright (C) Tsui-Wei Weng <twweng@mit.edu>, 2018
##
## This program is licenced under the Apache-2.0 licence,
## contained in the LICENCE file in this directory.
##
import tensorflow as tf
import numpy as np
import os
imp... | 5,422 | 31.088757 | 97 | py |
CROWN-Robustness-Certification | CROWN-Robustness-Certification-master/save_nlayer_weights.py | ##
## Copyright (C) IBM Corp, 2018
## Copyright (C) Huan Zhang <huan@huan-zhang.com>, 2018
## Copyright (C) Tsui-Wei Weng <twweng@mit.edu>, 2018
##
## This program is licenced under the Apache-2.0 licence,
## contained in the LICENCE file in this directory.
##
import numpy as np
import os
import pickle
import gzip
i... | 4,404 | 37.304348 | 127 | py |
MuVI | MuVI-master/muvi/core/models.py | import logging
import time
from typing import Callable, Dict, List, Optional, Union
import numpy as np
import pandas as pd
import pyro
import pyro.distributions as dist
import torch
from pandas.api.types import is_string_dtype
from pyro.distributions import constraints
from pyro.infer.autoguide.guides import deep_geta... | 66,354 | 34.127051 | 88 | py |
MuVI | MuVI-master/muvi/core/gpu.py | import torch
def get_free_gpu_idx():
"""Get the index of the GPU with current lowest memory usage."""
max_free_idx = 0
max_free_mem = torch.cuda.mem_get_info(0)[0]
for i in range(torch.cuda.device_count()):
if torch.cuda.mem_get_info(i)[0] > max_free_mem:
max_free_idx = i
... | 394 | 25.333333 | 68 | py |
TFLEX | TFLEX-main/ComplexTemporalQueryDataloader.py | """
@date: 2022/3/16
@description: null
"""
from collections import defaultdict
from typing import List, Set, Tuple, Dict
import numpy as np
import torch
from torch.utils.data import Dataset
from ComplexTemporalQueryData import TYPE_train_queries_answers, TYPE_test_queries_answers
from expression.TFLEX_DSL import is_... | 10,597 | 49.466667 | 145 | py |
TFLEX | TFLEX-main/run_reasoning_interpreter.py | """
@date: 2021/10/27
@description: 交互式表达式解释器，输入 query 输出 answer
"""
import cmd
import random
import sys
import traceback
from typing import List, Optional, Tuple
import click
import torch
import json
import expression
from ComplexTemporalQueryData import *
from expression.ParamSchema import EntitySet, TimeSet
from e... | 17,671 | 42.527094 | 127 | py |
TFLEX | TFLEX-main/train_TCQE_Query2box.py | """
@date: 2021/10/26
@description: null
"""
from typing import Tuple
import click
import torch
import torch.nn as nn
import torch.nn.functional as F
from ComplexTemporalQueryData import ICEWS05_15, ICEWS14, ComplexTemporalQueryDatasetCachePath, ComplexQueryData, GDELT
from toolbox.exp.OutputSchema import OutputSchem... | 7,514 | 41.219101 | 141 | py |
TFLEX | TFLEX-main/train_TCQE_TFLEX.py | """
@date: 2021/10/26
@description: null
"""
import gc
from collections import defaultdict
from typing import List, Dict, Tuple, Optional, Union, Set
import click
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
import expression
from ComplexTemporalQueryData ... | 64,133 | 46.71875 | 155 | py |
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