python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
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# MIT License
# Copyright (c) 2022 Guy Tevet
#
# This code is based on https://github.com/GuyTevet/motion-diffusion-model
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import argparse
import json
import os
from argparse import ArgumentParser
def parse_and_load_from_model(parser):
# args according to th... | AGRoL-main | utils/parser_util.py |
# MIT License
# Copyright (c) 2022 ETH Sensing, Interaction & Perception Lab
#
# This code is based on https://github.com/eth-siplab/AvatarPoser
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import os
import cv2
import numpy as np
import trimesh
from body_visualizer.mesh.mesh_viewer import MeshViewer
from... | AGRoL-main | utils/utils_visualize.py |
# MIT License
# Copyright (c) 2022 ETH Sensing, Interaction & Perception Lab
#
# This code is based on https://github.com/eth-siplab/AvatarPoser
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import torch
from human_body_prior.tools import tgm_conversion as tgm
from human_body_prior.tools.rotation_tools impo... | AGRoL-main | utils/utils_transform.py |
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.com/openai/guided-diffusion
"""
Helpers for distributed training.
"""
import socket
import torch as th
import torch.distributed as dist
# Change this to reflect your cluster layout.
# The GPU for a given rank is (rank % GPUS_PER_NODE... | AGRoL-main | utils/dist_util.py |
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.com/openai/guided-diffusion
# MIT License
# Copyright (c) 2022 Guy Tevet
#
# This code is based on https://github.com/GuyTevet/motion-diffusion-model
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import numpy as np
import tor... | AGRoL-main | diffusion/respace.py |
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.com/openai/guided-diffusion
from abc import ABC, abstractmethod
import numpy as np
import torch as th
import torch.distributed as dist
def create_named_schedule_sampler(name, diffusion):
"""
Create a ScheduleSampler from a lib... | AGRoL-main | diffusion/resample.py |
"""
Logger copied from OpenAI baselines to avoid extra RL-based dependencies:
https://github.com/openai/baselines/blob/ea25b9e8b234e6ee1bca43083f8f3cf974143998/baselines/logger.py
"""
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.com/openai/guided-diffusion
# Copyright (c) Meta Plat... | AGRoL-main | diffusion/logger.py |
"""
This code started out as a PyTorch port of Ho et al's diffusion models:
https://github.com/hojonathanho/diffusion/blob/1e0dceb3b3495bbe19116a5e1b3596cd0706c543/diffusion_tf/diffusion_utils_2.py
Docstrings have been added, as well as DDIM sampling and a new collection of beta schedules.
"""
# MIT License
# Copyrigh... | AGRoL-main | diffusion/diffusion_model.py |
"""
Helpers for various likelihood-based losses. These are ported from the original
Ho et al. diffusion models codebase:
https://github.com/hojonathanho/diffusion/blob/1e0dceb3b3495bbe19116a5e1b3596cd0706c543/diffusion_tf/utils.py
"""
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.co... | AGRoL-main | diffusion/losses.py |
# MIT License
# Copyright (c) 2021 OpenAI
#
# This code is based on https://github.com/openai/guided-diffusion
"""
Helpers to train with 16-bit precision.
"""
import numpy as np
import torch as th
import torch.nn as nn
from diffusion import logger
from torch._utils import _flatten_dense_tensors, _unflatten_dense_tens... | AGRoL-main | diffusion/fp16_util.py |
"""
This code started out as a PyTorch port of Ho et al's diffusion models:
https://github.com/hojonathanho/diffusion/blob/1e0dceb3b3495bbe19116a5e1b3596cd0706c543/diffusion_tf/diffusion_utils_2.py
Docstrings have been added, as well as DDIM sampling and a new collection of beta schedules.
"""
# MIT License
# Copyrigh... | AGRoL-main | diffusion/gaussian_diffusion.py |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import numpy as np
import torch
import torch.nn as nn
from model.networks import DiffMLP
class MetaModel(nn.Module):
def __init__(
self,
arch,
nfeats,
latent_dim=256,
num_layers=8,
dropout=0.1,
dataset... | AGRoL-main | model/meta_model.py |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import torch.nn as nn
###############################
############ Layers ###########
###############################
class MLPblock(nn.Module):
def __init__(self, dim, seq0, seq1, first=False, w_embed=True):
super().__init__()
self.w_emb... | AGRoL-main | model/networks.py |
# Copyright (c) Meta Platforms, Inc. All Rights Reserved
import glob
import os
import torch
from torch.utils.data import DataLoader, Dataset
from tqdm import tqdm
class TrainDataset(Dataset):
def __init__(
self,
dataset,
mean,
std,
motions,
sparses,
input_... | AGRoL-main | data_loaders/dataloader.py |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a cop... | data2vec_vision-main | minilm/examples/run_xnli.py |
import argparse
import os
import torch
from fairseq.data import (FairseqDataset, PrependTokenDataset,
TokenBlockDataset, TruncateDataset, data_utils, StripTokenDataset, ConcatDataset)
from fairseq.data.indexed_dataset import make_builder
from tqdm import tqdm
from transformers import AutoToke... | data2vec_vision-main | infoxlm/tools/para2bin.py |
import argparse
import os
import torch
from fairseq.data import (FairseqDataset, PrependTokenDataset,
TokenBlockDataset, TruncateDataset, data_utils, StripTokenDataset, ConcatDataset, PrependTokenDataset, AppendTokenDataset)
from fairseq.data.indexed_dataset import make_builder
from tqdm impo... | data2vec_vision-main | infoxlm/tools/para2bin4xlco.py |
import argparse
import os
import torch
from fairseq.data import (FairseqDataset, PrependTokenDataset,
TokenBlockDataset, TruncateDataset, data_utils)
from fairseq.data.indexed_dataset import make_builder
from tqdm import tqdm
from transformers import AutoTokenizer
class IndexDataset(Fairseq... | data2vec_vision-main | infoxlm/tools/txt2bin.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Data pre-processing: build vocabularies and binarize training data.
"""
from collections import Counter
from iterto... | data2vec_vision-main | infoxlm/fairseq/preprocess.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 torch
from fairseq import bleu, checkpoint_utils,... | data2vec_vision-main | infoxlm/fairseq/generate.py |
#!/usr/bin/env python3 -u
#!/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 torch
from fairseq import checkpoint_utils, options, progress_bar, utils
def mai... | data2vec_vision-main | infoxlm/fairseq/validate.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from setuptools import setup, find_packages, Extension
import sys
if sys.version_info < (3, 5):
sys.exi... | data2vec_vision-main | infoxlm/fairseq/setup.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.
"""
from collections import namedtuple
import ... | data2vec_vision-main | infoxlm/fairseq/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.
"""
Train a new model on one or across multiple GPUs.
"""
import collections
import math
import random
import numpy... | data2vec_vision-main | infoxlm/fairseq/train.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 functools
from fairseq.hub_utils import BPEHubInterface as bpe # noqa
from fairseq.hub_utils import TokenizerHubInterface as tokenize... | data2vec_vision-main | infoxlm/fairseq/hubconf.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 numpy as np
import torch
from fairseq import c... | data2vec_vision-main | infoxlm/fairseq/eval_lm.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
BLEU scoring of generated translations against reference translations.
"""
import argparse
import os
import sys
fr... | data2vec_vision-main | infoxlm/fairseq/score.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import tempfile
import unittest
import torch
from fairseq.data import Dictionary
class TestDictionary(unittest.TestCase):
def test_fi... | data2vec_vision-main | infoxlm/fairseq/tests/test_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 argparse
from multiprocessing import Manager
import random
import unittest
import torch
import torch.nn as nn
from fairseq import dis... | data2vec_vision-main | infoxlm/fairseq/tests/test_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.
import unittest
import torch
from fairseq import utils
class TestUtils(unittest.TestCase):
def test_convert_padding_direction(self):
... | data2vec_vision-main | infoxlm/fairseq/tests/test_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 unittest
from fairseq.data import iterators
class TestIterators(unittest.TestCase):
def test_counting_iterator(self):
x... | data2vec_vision-main | infoxlm/fairseq/tests/test_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 unittest
from typing import Dict, List
import tests.utils as test_utils
import torch
from fairseq import utils
from fairseq.data impor... | data2vec_vision-main | infoxlm/fairseq/tests/test_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 torch
import unittest
from fairseq.modules.sparse_multihead_attention import SparseMultiheadAttention
class TestSparseMultiheadAttent... | data2vec_vision-main | infoxlm/fairseq/tests/test_sparse_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 contextlib
from io import StringIO
import unittest
from unittest.mock import MagicMock, patch
import torch
from fairseq import data, ... | data2vec_vision-main | infoxlm/fairseq/tests/test_train.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 unittest
import torch
from fairseq.sequence_scorer import SequenceScorer
import tests.utils as test_utils
class Te... | data2vec_vision-main | infoxlm/fairseq/tests/test_sequence_scorer.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 unittest
from fairseq.modules.multihead_attention import MultiheadAttention
class TestMultiheadAttention(unittest.TestCa... | data2vec_vision-main | infoxlm/fairseq/tests/test_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 collections
import unittest
import numpy as np
from fairseq.data import ListDataset, ResamplingDataset
class TestResamplingDataset(... | data2vec_vision-main | infoxlm/fairseq/tests/test_resampling_dataset.py |
data2vec_vision-main | infoxlm/fairseq/tests/__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 unittest
import torch
from fairseq.data import (
BacktranslationDataset,
LanguagePairDataset,
TransformEosDataset,
)
from... | data2vec_vision-main | infoxlm/fairseq/tests/test_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 contextlib
from io import StringIO
import os
import random
import sys
import tempfile
import unittest
import torch
from fairseq impor... | data2vec_vision-main | infoxlm/fairseq/tests/test_binaries.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 copy
import unittest
import torch
from fairseq.criterions.cross_entropy import CrossEntropyCriterion
from fairseq.cri... | data2vec_vision-main | infoxlm/fairseq/tests/test_label_smoothing.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 torch
from fairseq import utils
from fairseq.data import Dictionary
from fairseq.data.language_pair_dataset import col... | data2vec_vision-main | infoxlm/fairseq/tests/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
import unittest
from fairseq.modules import ConvTBC
import torch.nn as nn
class TestConvTBC(unittest.TestCase):
def test_c... | data2vec_vision-main | infoxlm/fairseq/tests/test_convtbc.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 unittest
import torch
from fairseq.optim.adam import FairseqAdam
from fairseq.optim.fp16_optimizer import MemoryEffic... | data2vec_vision-main | infoxlm/fairseq/tests/test_memory_efficient_fp16.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 unittest
import torch
from fairseq.data import TokenBlockDataset
import tests.utils as test_utils
class TestTokenBlockDataset(unit... | data2vec_vision-main | infoxlm/fairseq/tests/test_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 argparse
import unittest
import torch
from fairseq.sequence_generator import SequenceGenerator
import tests.utils as test_utils
cl... | data2vec_vision-main | infoxlm/fairseq/tests/test_sequence_generator.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 unittest
import torch
from fairseq.data import LanguagePairDataset, TokenBlockDataset
from fairseq.data.concat_dataset import ConcatDa... | data2vec_vision-main | infoxlm/fairseq/tests/test_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 contextlib
from io import StringIO
import json
import os
import tempfile
import unittest
from . import test_binaries
class TestRepro... | data2vec_vision-main | infoxlm/fairseq/tests/test_reproducibility.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 unittest
from fairseq.data import Dictionary
from fairseq.modules import CharacterTokenEmbedder
class TestCharacterToke... | data2vec_vision-main | infoxlm/fairseq/tests/test_character_token_embedder.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 os
import tempfile
import unittest
import shutil
import numpy as np
import torch
from torch import nn
from script... | data2vec_vision-main | infoxlm/fairseq/tests/test_average_checkpoints.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 unittest
from collections import OrderedDict
import numpy as np
import torch
from fairseq.data import LanguagePairDataset, TokenBlockD... | data2vec_vision-main | infoxlm/fairseq/tests/test_multi_corpus_sampled_dataset.py |
#!/usr/bin/env python3
import argparse
import os
import unittest
from inspect import currentframe, getframeinfo
import numpy as np
import torch
from fairseq.data import data_utils as fairseq_data_utils
from fairseq.data.dictionary import Dictionary
from fairseq.models import (
BaseFairseqModel,
FairseqDecoder... | data2vec_vision-main | infoxlm/fairseq/tests/speech_recognition/asr_test_base.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
import numpy as np
import torch
from examples.speech_recognition.data.collaters import Seq2SeqCollater... | data2vec_vision-main | infoxlm/fairseq/tests/speech_recognition/test_collaters.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from examples.speech_recognition.criterions.cross_entropy_acc import CrossEntropyWithAccCriterion
from .asr_test_base i... | data2vec_vision-main | infoxlm/fairseq/tests/speech_recognition/test_cross_entropy.py |
#!/usr/bin/env python3
# import models/encoder/decoder to be tested
from examples.speech_recognition.models.vggtransformer import (
TransformerDecoder,
VGGTransformerEncoder,
VGGTransformerModel,
vggtransformer_1,
vggtransformer_2,
vggtransformer_base,
)
# import base test class
from .asr_test... | data2vec_vision-main | infoxlm/fairseq/tests/speech_recognition/test_vggtransformer.py |
data2vec_vision-main | infoxlm/fairseq/tests/speech_recognition/__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.
"""
A modified version of the legacy DistributedDataParallel module that uses c10d
communication primitives. This version is simpler than the ... | data2vec_vision-main | infoxlm/fairseq/fairseq/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.
import argparse
import torch
import sys
from fairseq import utils
from fairseq.data.indexed_dataset import get_available_dataset_impl
def ... | data2vec_vision-main | infoxlm/fairseq/fairseq/options.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 namedtuple
import torch
from fairseq import utils
DecoderOut = namedtuple('IterativeRefinementDecoderOut', [
'... | data2vec_vision-main | infoxlm/fairseq/fairseq/iterative_refinement_generator.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 time
class AverageMeter(object):
"""Computes and stores the average and current value"""
def __init__(self):
self.res... | data2vec_vision-main | infoxlm/fairseq/fairseq/meters.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
REGISTRIES = {}
def setup_registry(
registry_name: str,
base_class=None,
default=None,
):
assert registry_... | data2vec_vision-main | infoxlm/fairseq/fairseq/registry.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 torch
try:
from fairseq import libbleu
except ImportError as e:
import sys
sys.stderr.write('ERR... | data2vec_vision-main | infoxlm/fairseq/fairseq/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.
__all__ = ['pdb']
__version__ = '0.9.0'
import fairseq.criterions # noqa
import fairseq.models # noqa
import fairseq.modules # noqa
import... | data2vec_vision-main | infoxlm/fairseq/fairseq/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
from fairseq import search, utils
from fairseq.data import data_utils
from fairseq.models import FairseqIncremental... | data2vec_vision-main | infoxlm/fairseq/fairseq/sequence_generator.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 multiprocessing
import os
import pdb
import sys
__all__ = ['set_trace']
_stdin = [None]
_stdin_lock = multiprocessing.Lock()
try:
... | data2vec_vision-main | infoxlm/fairseq/fairseq/pdb.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 re
SPACE_NORMALIZER = re.compile(r"\s+")
def tokenize_line(line):
line = SPACE_NORMALIZER.sub(" ", line)
line = line.strip()... | data2vec_vision-main | infoxlm/fairseq/fairseq/tokenizer.py |
#!/usr/bin/env python3 -u
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import copy
import os
import torch
from torch import nn
from fairseq import utils
from fairseq.dat... | data2vec_vision-main | infoxlm/fairseq/fairseq/hub_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
import sys
from fairseq import utils
class SequenceScorer(object):
"""Scores the target for a given source sentence."""
... | data2vec_vision-main | infoxlm/fairseq/fairseq/sequence_scorer.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 contextlib
import copy
import importlib.util
import math
import os
import sys
from typing import Ca... | data2vec_vision-main | infoxlm/fairseq/fairseq/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 logging
import os
import re
import shutil
import traceback
from collections import OrderedDict
from typing import Un... | data2vec_vision-main | infoxlm/fairseq/fairseq/checkpoint_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 pickle
import socket
import subprocess
import warnings
import torch
import torch.distributed as dist
from fairseq import ut... | data2vec_vision-main | infoxlm/fairseq/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.
"""
Utilities for working with the local dataset cache.
This file is adapted from `AllenNLP <https://github.com/allenai/allennlp>`_.
and `hugg... | data2vec_vision-main | infoxlm/fairseq/fairseq/file_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import math
import torch
class Search(object):
def __init__(self, tgt_dict):
self.pad = tgt_dict.pad()
self.unk = tgt_... | data2vec_vision-main | infoxlm/fairseq/fairseq/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.
"""
Wrapper around various loggers and progress bars (e.g., tqdm).
"""
from collections import OrderedDict
import json
from numbers import Nu... | data2vec_vision-main | infoxlm/fairseq/fairseq/progress_bar.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.
"""
Train a network across multiple GPUs.
"""
import contextlib
import math
import os
import sys
from collections import OrderedDict
from ite... | data2vec_vision-main | infoxlm/fairseq/fairseq/trainer.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 Counter
import os
from fairseq.tokenizer import tokenize_line
def safe_readline(f):
pos = f.tell()
while Tr... | data2vec_vision-main | infoxlm/fairseq/fairseq/binarizer.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 import tokenizer
from fairseq.data import (
data_utils,
FairseqDataset,
iterators,
... | data2vec_vision-main | infoxlm/fairseq/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 os
from fairseq.data import (
data_utils,
Dictionary,
AppendTokenDataset,
DenoisingDataset,
PrependTokenDataset,
... | data2vec_vision-main | infoxlm/fairseq/fairseq/tasks/denoising.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 os
import torch
from fairseq import options, utils
from fairseq.data import (
Dictionary,
... | data2vec_vision-main | infoxlm/fairseq/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 torch
from fairseq.utils import new_arange
from fairseq.tasks import register_task
from fairseq.tasks.translation import TranslationTa... | data2vec_vision-main | infoxlm/fairseq/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.
import os
import torch
from fairseq import utils
from fairseq.data import (
data_utils,
Dictionary,
MonolingualDataset,
Toke... | data2vec_vision-main | infoxlm/fairseq/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 itertools
import numpy as np
import os
from fairseq import tokenizer
from fairseq.data import (
ConcatDataset,
indexed_dataset... | data2vec_vision-main | infoxlm/fairseq/fairseq/tasks/legacy_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 argparse
import importlib
import os
from .fairseq_task import FairseqTask
TASK_REGISTRY = {}
TASK_CLASS_NAMES = set()
def setup_tas... | data2vec_vision-main | infoxlm/fairseq/fairseq/tasks/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from fairseq.data import FileAudioDataset
from . import FairseqTask, register_task
@register_task('audio_pretraining')
class Audi... | data2vec_vision-main | infoxlm/fairseq/fairseq/tasks/audio_pretraining.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import itertools
import os
from fairseq import options, utils
from fairseq.data import (
AppendTokenDataset,
ConcatDataset,
data_... | data2vec_vision-main | infoxlm/fairseq/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 collections import OrderedDict
import os
from fairseq.data import (
BacktranslationDataset,
IndexedCachedDataset,
IndexedDat... | data2vec_vision-main | infoxlm/fairseq/fairseq/tasks/semisupervised_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 os
import numpy as np
from fairseq.data import (
ConcatSentencesDataset,
data_utils,
Dictionary,
IdDataset,
Neste... | data2vec_vision-main | infoxlm/fairseq/fairseq/tasks/sentence_prediction.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 modules, utils
from fairseq.tasks import register_task
from fairseq.tasks.translation import TranslationTask... | data2vec_vision-main | infoxlm/fairseq/fairseq/tasks/translation_moe.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import itertools
import os
from collections import OrderedDict
import numpy as np
from fairseq import tokenizer
from fairseq.data.legacy.ma... | data2vec_vision-main | infoxlm/fairseq/fairseq/tasks/cross_lingual_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.
from fairseq.data.legacy.masked_lm_dictionary import MaskedLMDictionary
from fairseq.tasks.translation import TranslationTask
from . import r... | data2vec_vision-main | infoxlm/fairseq/fairseq/tasks/translation_from_pretrained_xlm.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
import numpy as np
from fairseq.data import (
data_utils,
Dictionary,
IdDataset,
MaskTokensDataset,
NestedDict... | data2vec_vision-main | infoxlm/fairseq/fairseq/tasks/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 os
import numpy as np
from fairseq.data import (
ConcatSentencesDataset,
data_utils,
Dictionary,
IdDataset,
Neste... | data2vec_vision-main | infoxlm/fairseq/fairseq/tasks/sentence_ranking.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 torch
from fairseq.data import (
data_utils,
Dictionary,
encoders,
ConcatDataset,
Id... | data2vec_vision-main | infoxlm/fairseq/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 torch
from torch.optim.optimizer import Optimizer, required
from . import FairseqOptimizer, register_optimizer
@register_optimizer('... | data2vec_vision-main | infoxlm/fairseq/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.
import torch
import torch.distributed as dist
from . import FairseqOptimizer
class FairseqBMUF(FairseqOptimizer):
"""
Implements in... | data2vec_vision-main | infoxlm/fairseq/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.
import math
import torch
import torch.optim
from . import FairseqOptimizer, register_optimizer
@register_optimizer('adafactor')
class Fairs... | data2vec_vision-main | infoxlm/fairseq/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 torch.optim
from . import FairseqOptimizer, register_optimizer
@register_optimizer('sgd')
class SGD(FairseqOptimizer):
def __ini... | data2vec_vision-main | infoxlm/fairseq/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 math
import torch
class FairseqOptimizer(object):
def __init__(self, args):
super().__init__()
self.args = args... | data2vec_vision-main | infoxlm/fairseq/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 importlib
import os
from fairseq import registry
from fairseq.optim.fairseq_optimizer import FairseqOptimizer
from fairseq.optim.fp16_... | data2vec_vision-main | infoxlm/fairseq/fairseq/optim/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.optim
from . import FairseqOptimizer, register_optimizer
@register_optimizer('adamax')
class FairseqAdamax(Fairse... | data2vec_vision-main | infoxlm/fairseq/fairseq/optim/adamax.py |
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