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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mmf | mmf-main/mmf/models/movie_mcan.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
from typing import Any, Dict, List, Optional, Tuple
import omegaconf
import torch
from mmf.common.registry import registry
from mmf.models.base_model import BaseModel
from mmf.modules.embeddings import (
PreExtractedEmbedding,
TextEmbedding,
T... | 10,070 | 35.621818 | 88 | py |
mmf | mmf-main/mmf/models/vinvl.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Code based off https://github.com/microsoft/Oscar
# modified for MMF
# Licensed under the MIT license.
import logging
from collections import namedtuple
from dataclasses import asdict, dataclass
from typing import Any, Dict, Optional, Tuple
import torch
from mmf.c... | 18,425 | 35.41502 | 88 | py |
mmf | mmf-main/mmf/models/mmbt.py | # Copyright (c) Facebook, Inc. and its affiliates.
# MMBTModel, ModalEmbeddings is copied from [1]
# as we have internal dependency on transformers v2.3.
# These will be removed when we upgrade to package v2.5+.
# [1]: https://github.com/huggingface/transformers/blob/master/src/transformers/modeling_mmbt.py # noqa
im... | 25,690 | 39.142188 | 111 | py |
mmf | mmf-main/mmf/models/m4c.py | # Copyright (c) Facebook, Inc. and its affiliates.
import functools
import logging
import math
import torch
import torch.nn.functional as F
from mmf.common.registry import registry
from mmf.models.base_model import BaseModel
from mmf.modules.layers import ClassifierLayer
from mmf.utils.build import build_image_encoder... | 22,503 | 38.205575 | 88 | py |
mmf | mmf-main/mmf/models/unit/matcher.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Mostly copy-pasted from
# https://github.com/facebookresearch/detr/blob/master/models/matcher.py
"""
Modules to compute the matching cost and solve the corresponding LSAP.
"""
from typing import Dict, List
import torch
from mmf.utils.box_ops import box_cxcywh_to_xy... | 4,811 | 37.806452 | 87 | py |
mmf | mmf-main/mmf/models/unit/misc.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Mostly copy-pasted from
# https://github.com/facebookresearch/detr/blob/master/util/misc.py
from typing import List
import torch
from torch import Tensor
class NestedTensor:
"""
A data class to hold images of different sizes in a batch.
It contains `... | 1,954 | 36.596154 | 88 | py |
mmf | mmf-main/mmf/models/unit/backbone.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Mostly copy-pasted from
# https://github.com/facebookresearch/detr/blob/master/models/backbone.py
"""
Backbone modules.
"""
import math
from collections import OrderedDict
import torch
import torch.nn.functional as F
import torchvision
from mmf.models.unit.misc imp... | 4,858 | 32.054422 | 88 | py |
mmf | mmf-main/mmf/models/unit/transformer.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Mostly copy-pasted from
# https://github.com/facebookresearch/detr/blob/master/models/transformer.py
import copy
from typing import Optional
import torch
import torch.nn.functional as F
from torch import nn, Tensor
class Transformer(nn.Module):
def __init__(s... | 18,077 | 32.853933 | 88 | py |
mmf | mmf-main/mmf/models/unit/unit_base_model.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Mostly copy-pasted from
# https://github.com/facebookresearch/detr/blob/master/models/detr.py
from typing import Optional
import torch
import torch.nn.functional as F
from mmf.models.unit.backbone import build_unit_convnet_backbone
from mmf.models.unit.matcher impo... | 17,736 | 37.642702 | 197 | py |
mmf | mmf-main/mmf/models/unit/unit.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from copy import deepcopy
from typing import Dict
import torch
from mmf.common.registry import registry
from mmf.models import BaseModel
from mmf.models.unit.unit_base_model import (
AttributeHead,
build_detection_loss,
MLP,
UniTBaseMod... | 14,887 | 39.346883 | 88 | py |
mmf | mmf-main/mmf/models/albef/vit.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Initial version was taken from https://github.com/rwightman/pytorch-image-models
# which was cleaned up and adapted for MMF.
import collections.abc
import math
import warnings
from dataclasses import dataclass
from functools import partial
from itertools import rep... | 22,271 | 32.241791 | 87 | py |
mmf | mmf-main/mmf/models/interfaces/mmbt.py | # Copyright (c) Facebook, Inc. and its affiliates.
import os
import tempfile
from pathlib import Path
from typing import Type, Union
import torch
import torchvision.datasets.folder as tv_helpers
from mmf.common.sample import Sample, SampleList
from mmf.models.base_model import BaseModel
from mmf.utils.build import bu... | 3,019 | 34.116279 | 85 | py |
mmf | mmf-main/mmf/models/transformers/base.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from abc import ABC, abstractmethod
from dataclasses import asdict, dataclass, field
from typing import Any, Dict, List, NamedTuple, Optional, Tuple, Type
from mmf.common.registry import registry
from mmf.models import BaseModel
from mmf.modules.encode... | 15,684 | 37.070388 | 88 | py |
mmf | mmf-main/mmf/models/transformers/backends/huggingface.py | # Copyright (c) Facebook, Inc. and its affiliates.
from copy import deepcopy
from typing import Any, Dict, List, Type
import torch
from mmf.common.registry import registry
from mmf.models.transformers.base import BaseTransformer, BaseTransformerBackend
from mmf.modules.hf_layers import BertModelJit, replace_with_jit
... | 9,124 | 37.665254 | 88 | py |
mmf | mmf-main/mmf/models/transformers/heads/mlm.py | # Copyright (c) Facebook, Inc. and its affiliates.
import warnings
from dataclasses import dataclass
from typing import Dict, List, Optional
import torch
from mmf.common.registry import registry
from mmf.models.transformers.base import BaseTransformerHead
try:
from transformers3.modeling_bert import BertOnlyMLMH... | 3,950 | 33.657895 | 88 | py |
mmf | mmf-main/mmf/models/transformers/heads/mrfr.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Initial version was taken from https://github.com/ChenRocks/UNITER/
# and adapted for MMF.
from typing import Dict
import torch
import torch.nn.functional as F
from mmf.common.registry import registry
from mmf.models.transformers.heads.utils import compute_masked_... | 3,161 | 32.638298 | 82 | py |
mmf | mmf-main/mmf/models/transformers/heads/mlp.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
from dataclasses import dataclass
from typing import Dict, List, Optional
import torch
from mmf.common.registry import registry
from mmf.models.transformers.base import BaseTransformerHead
from mmf.modules import layers
from omegaconf import OmegaConf, op... | 3,436 | 35.178947 | 84 | py |
mmf | mmf-main/mmf/models/transformers/heads/utils.py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
import collections.abc
from typing import Dict, List, Optional, Union
from mmf.common.registry import registry
from torch import nn, Tensor
def build_heads_dict(head_configs: Union[Dict, List], tasks: List, losses: Dict):
"""
HeadsDict st... | 6,400 | 34.561111 | 87 | py |
mmf | mmf-main/mmf/models/transformers/heads/refiner.py | # Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import dataclass, field
from typing import Dict, List, Optional, Type
import torch
from mmf.common.registry import registry
from mmf.models.transformers.base import BaseTransformerHead
from mmf.modules.losses import RefinerContrastiveLoss, RefinerMSL... | 7,396 | 37.526042 | 87 | py |
mmf | mmf-main/mmf/models/transformers/heads/wra.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Initial version was taken from https://github.com/ChenRocks/UNITER/
# and adapted for MMF.
from typing import Dict
from mmf.common.registry import registry
from mmf.modules.ot import optimal_transport_dist
from torch import nn, Tensor
@registry.register_transfor... | 2,847 | 32.904762 | 83 | py |
mmf | mmf-main/mmf/models/transformers/heads/contrastive.py | # Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import dataclass
from typing import Dict, Optional
import torch
from mmf.common.registry import registry
from mmf.models.transformers.base import BaseTransformerHead
from mmf.models.transformers.heads.mlp import MLP
LABEL_KEY = "three_way_constrasti... | 2,736 | 33.2125 | 87 | py |
mmf | mmf-main/mmf/models/transformers/heads/mrc.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Initial version was taken from https://github.com/ChenRocks/UNITER/
# and adapted for MMF.
from typing import Dict
import torch
import torch.nn.functional as F
from mmf.common.registry import registry
from mmf.models.transformers.heads.utils import compute_masked_... | 3,090 | 32.967033 | 82 | py |
mmf | mmf-main/mmf/models/transformers/heads/refnet_classifier.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from dataclasses import dataclass
from typing import Dict, List, Optional
import torch
import torch.nn as nn
from mmf.common.registry import registry
from mmf.models.transformers.base import BaseTransformerHead
from mmf.modules.losses import LogitBinary... | 5,188 | 37.154412 | 86 | py |
mmf | mmf-main/mmf/models/transformers/heads/itm.py | # Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import dataclass
from typing import Dict, List, Optional
import torch
from mmf.common.registry import registry
from mmf.models.transformers.base import BaseTransformerHead
try:
from transformers3.modeling_bert import BertOnlyNSPHead, BertPooler
... | 2,420 | 31.28 | 87 | py |
mmf | mmf-main/mmf/datasets/subset_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
from torch.utils.data.dataset import Subset
class MMFSubset(Subset):
def __init__(self, dataset, indices):
super().__init__(dataset, indices)
self._dir_representation = dir(self)
def __getattr__(self, name):
if "_dir_representation" ... | 587 | 31.666667 | 87 | py |
mmf | mmf-main/mmf/datasets/multi_datamodule.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import warnings
from typing import Dict, List, Optional
import pytorch_lightning as pl
from mmf.common.sample import SampleList
from mmf.common.test_reporter import TestReporter
from mmf.datasets.iteration_strategies import IterationStrategy
from mmf.da... | 4,370 | 38.736364 | 88 | py |
mmf | mmf-main/mmf/datasets/base_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import registry
from mmf.common.sample import SampleList
from mmf.utils.general import get_current_device
from torch.utils.data.dataset import Dataset
class BaseDataset(Dataset):
"""Base class for implementing a dataset. Inherits from PyT... | 3,730 | 30.352941 | 84 | py |
mmf | mmf-main/mmf/datasets/concat_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import functools
import types
from torch.utils.data import ConcatDataset
class MMFConcatDataset(ConcatDataset):
# These functions should only be called once even if they return nothing
_SINGLE_CALL_FUNCS = []
def __init__(self, datasets):
super(... | 1,735 | 36.73913 | 87 | py |
mmf | mmf-main/mmf/datasets/base_dataset_builder.py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
In MMF, for adding new datasets, dataset builder for datasets need to be
added. A new dataset builder must inherit ``BaseDatasetBuilder`` class and
implement ``load`` and ``build`` functions.
``build`` is used to build a dataset when it is not available. For e.g.
... | 8,140 | 35.022124 | 92 | py |
mmf | mmf-main/mmf/datasets/iteration_strategies.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import warnings
from dataclasses import dataclass
from typing import Dict
import numpy as np
from mmf.common.registry import registry
from mmf.utils.configuration import get_global_config
from mmf.utils.dataset import dataset_list_from_config
from omeg... | 10,118 | 33.185811 | 87 | py |
mmf | mmf-main/mmf/datasets/mmf_dataset_builder.py | import collections
import os
import typing
import warnings
from copy import deepcopy
import mmf.utils.download as download
import torch
from mmf.datasets.base_dataset_builder import BaseDatasetBuilder
from mmf.datasets.concat_dataset import MMFConcatDataset
from mmf.datasets.subset_dataset import MMFSubset
from mmf.ut... | 8,263 | 35.405286 | 94 | py |
mmf | mmf-main/mmf/datasets/multi_dataset_loader.py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
MultiDatasetLoader class is used by DatasetLoader class to load multiple datasets
and more granular
"""
import logging
import warnings
from typing import Dict, Iterator
import torch
from mmf.common.sample import convert_batch_to_sample_list, SampleList
from mmf.da... | 13,389 | 35.287263 | 88 | py |
mmf | mmf-main/mmf/datasets/lightning_multi_dataset_loader.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
from typing import Dict
from mmf.datasets import iteration_strategies
from mmf.datasets.multi_dataset_loader import MultiDataLoader
from torch.utils.data import DataLoader
class LightningMultiDataLoader(MultiDataLoader):
"""
LightningMultiDataLoa... | 1,758 | 32.188679 | 88 | py |
mmf | mmf-main/mmf/datasets/databases/features_database.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from multiprocessing.pool import ThreadPool
import tqdm
from mmf.datasets.databases.image_database import ImageDatabase
from mmf.datasets.databases.readers.feature_readers import FeatureReader
from mmf.utils.distributed import is_main
from mmf.utils.gen... | 4,310 | 33.766129 | 83 | py |
mmf | mmf-main/mmf/datasets/databases/annotation_database.py | # Copyright (c) Facebook, Inc. and its affiliates.
import json
import numpy as np
import torch
from mmf.utils.file_io import PathManager
from mmf.utils.general import get_absolute_path
class AnnotationDatabase(torch.utils.data.Dataset):
"""
Dataset for Annotations used in MMF
TODO: Update on docs sprint... | 3,158 | 29.970588 | 85 | py |
mmf | mmf-main/mmf/datasets/databases/image_database.py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
import os
import torch
import torchvision
import torchvision.datasets.folder as tv_helpers
from mmf.utils.file_io import PathManager
from mmf.utils.general import get_absolute_path
from PIL import Image
def get_possible_image_paths(path):
imag... | 6,972 | 32.849515 | 88 | py |
mmf | mmf-main/mmf/datasets/databases/readers/feature_readers.py | # Copyright (c) Facebook, Inc. and its affiliates.
import math
import os
import pickle
from typing import Any
import lmdb
import numpy as np
import torch
from mmf.utils.file_io import PathManager
def load_feat(feat_path: str, convert_to_tensor: bool = False) -> Any:
with PathManager.open(feat_path, "rb") as f:
... | 10,405 | 34.75945 | 88 | py |
mmf | mmf-main/mmf/datasets/processors/frcnn_processor.py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
coding=utf-8
Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
Adapted From Facebook Inc, Detectron2
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 copy of... | 7,022 | 36.962162 | 84 | py |
mmf | mmf-main/mmf/datasets/processors/functional.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import List, Tuple, Union
import torch
# Functional file similar to torch.nn.functional
def video_crop(vid: torch.tensor, i: int, j: int, h: int, w: int) -> torch.Tensor:
return vid[..., i : (i + h), j : (j + w)]
def video_center_crop(vid: torch.T... | 2,078 | 30.029851 | 87 | py |
mmf | mmf-main/mmf/datasets/processors/bert_processors.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import random
from typing import Any, Dict, List, Optional, Tuple, Union
import torch
from mmf.common.registry import registry
from mmf.common.sample import Sample, SampleList
from mmf.datasets.processors.processors import BaseProcessor
try:
from tra... | 24,933 | 37.125382 | 88 | py |
mmf | mmf-main/mmf/datasets/processors/processors.py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
The processors exist in MMF to make data processing pipelines in various
datasets as similar as possible while allowing code reuse.
The processors also help maintain proper abstractions to keep only what matters
inside the dataset's code. This allows us to keep t... | 59,687 | 32.532584 | 88 | py |
mmf | mmf-main/mmf/datasets/processors/image_processors.py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
import math
import random
import warnings
import torch
from mmf.common.constants import INCEPTION_IMAGE_NORMALIZE
from mmf.common.registry import registry
from mmf.datasets.processors.processors import BaseProcessor
from omegaconf import OmegaConf
... | 6,737 | 34.650794 | 88 | py |
mmf | mmf-main/mmf/datasets/processors/detection_transforms.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Mostly copy-pasted from
# https://github.com/facebookresearch/detr/blob/master/datasets/transforms.py
import random
from typing import List, Optional, Union
import torch
import torchvision.transforms as T
import torchvision.transforms.functional as F
from mmf.commo... | 7,714 | 29.615079 | 86 | py |
mmf | mmf-main/mmf/datasets/processors/video_processors.py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
import importlib
import logging
import random
import mmf.datasets.processors.functional as F
import torch
from mmf.common.registry import registry
from mmf.datasets.processors import BaseProcessor
from omegaconf import OmegaConf
from torchvision im... | 7,642 | 32.08658 | 83 | py |
mmf | mmf-main/mmf/datasets/builders/visual_entailment/dataset.py | import copy
import json
import torch
from mmf.common.sample import Sample
from mmf.datasets.builders.vqa2 import VQA2Dataset
LABEL_TO_INT_MAPPING = {"entailment": 0, "neutral": 1, "contradiction": 2}
class VisualEntailmentDataset(VQA2Dataset):
def __init__(self, config, dataset_type, imdb_file_index, *args, **... | 1,809 | 31.909091 | 84 | py |
mmf | mmf-main/mmf/datasets/builders/glue/builder.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import torch
from mmf.common.registry import registry
from mmf.common.sample import Sample
from mmf.datasets.base_dataset import BaseDataset
from mmf.datasets.mmf_dataset_builder import MMFDatasetBuilder
from mmf.utils.general import retry_n
MAX_RETRI... | 3,109 | 30.734694 | 88 | py |
mmf | mmf-main/mmf/datasets/builders/mmimdb/dataset.py | import copy
import json
import torch
from mmf.common.sample import Sample
from mmf.datasets.mmf_dataset import MMFDataset
class MMIMDbFeaturesDataset(MMFDataset):
def __init__(self, config, dataset_type, imdb_file_index, *args, **kwargs):
super().__init__(
"mmimdb", config, dataset_type, imdb... | 2,742 | 33.721519 | 79 | py |
mmf | mmf-main/mmf/datasets/builders/vqacp_v2/dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import os
from typing import Type, Union
import torch
from mmf.common.sample import Sample
from mmf.common.typings import MMFDatasetConfigType
from mmf.datasets.builders.okvqa.dataset import OKVQADataset
from mmf.datasets.builders.vqacp_v2.database import VQACPv2Annot... | 2,495 | 36.253731 | 87 | py |
mmf | mmf-main/mmf/datasets/builders/vizwiz/dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from mmf.common.sample import Sample
from mmf.datasets.builders.vqa2 import VQA2Dataset
class VizWizDataset(VQA2Dataset):
def __init__(self, config, dataset_type, imdb_file_index, *args, **kwargs):
super().__init__(
config,
... | 1,857 | 30.491525 | 87 | py |
mmf | mmf-main/mmf/datasets/builders/visual_genome/dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import json
import torch
from mmf.common.sample import Sample, SampleList
from mmf.datasets.builders.vqa2 import VQA2Dataset
from mmf.datasets.databases.scene_graph_database import SceneGraphDatabase
_CONSTANTS = {"image_id_key": "image_id"}
class Visu... | 6,819 | 33.795918 | 88 | py |
mmf | mmf-main/mmf/datasets/builders/clevr/dataset.py | import json
import os
import numpy as np
import torch
from mmf.common.sample import Sample
from mmf.datasets.base_dataset import BaseDataset
from mmf.utils.distributed import is_main, synchronize
from mmf.utils.general import get_mmf_root
from mmf.utils.text import tokenize, VocabFromText
from PIL import Image
_CONS... | 5,549 | 35.27451 | 94 | py |
mmf | mmf-main/mmf/datasets/builders/okvqa/dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Type, Union
import torch
from mmf.common.sample import Sample
from mmf.common.typings import MMFDatasetConfigType
from mmf.datasets.builders.okvqa.database import OKVQAAnnotationDatabase
from mmf.datasets.mmf_dataset import MMFDataset
from mmf.datas... | 6,588 | 37.988166 | 91 | py |
mmf | mmf-main/mmf/datasets/builders/nlvr2/dataset.py | import copy
import json
import torch
from mmf.common.sample import Sample
from mmf.datasets.builders.vqa2 import VQA2Dataset
class NLVR2Dataset(VQA2Dataset):
def __init__(self, config, dataset_type, imdb_file_index, *args, **kwargs):
super().__init__(
config, dataset_type, imdb_file_index, da... | 1,916 | 36.588235 | 88 | py |
mmf | mmf-main/mmf/datasets/builders/hateful_memes/dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import copy
import os
import numpy as np
import omegaconf
import torch
from mmf.common.sample import Sample
from mmf.datasets.mmf_dataset import MMFDataset
from mmf.utils.general import get_mmf_root
from mmf.utils.visualize import visualize_images
from PIL import Imag... | 6,396 | 36.19186 | 87 | py |
mmf | mmf-main/mmf/datasets/builders/airstore/dataset.py | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import logging
from io import BytesIO
from typing import Any, Iterable
import torch
from iopath.common.file_io import PathManager
from mmf.common.sample import Sample
from mmf.datasets.base_dataset import BaseDataset
from mmf.utils.general import... | 4,295 | 37.357143 | 88 | py |
mmf | mmf-main/mmf/datasets/builders/visual_dialog/dataset.py | import copy
import json
import torch
from mmf.common.sample import Sample
from mmf.datasets.builders.visual_dialog.database import VisualDialogDatabase
from mmf.datasets.builders.vqa2 import VQA2Dataset
class VisualDialogDataset(VQA2Dataset):
def __init__(self, config, dataset_type, imdb_file_index, *args, **kwa... | 773 | 28.769231 | 79 | py |
mmf | mmf-main/mmf/datasets/builders/visual_dialog/database.py | import json
import torch
class VisualDialogDatabase(torch.utils.data.Dataset):
def __init__(self, imdb_path):
super().__init__()
self._load_json(imdb_path)
self._metadata = {}
@property
def metadata(self):
return self._metadata
@metadata.setter
def metadata(self,... | 1,290 | 26.468085 | 63 | py |
mmf | mmf-main/mmf/datasets/builders/coco/detection_dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import os
from typing import Dict
import torch
import torch.nn.functional as F
import torchvision
from mmf.common.sample import Sample
from mmf.datasets.base_dataset import BaseDataset
from mmf.utils.distributed import gather_tensor_along_batch, object_to_byte_tensor
... | 8,154 | 38.587379 | 88 | py |
mmf | mmf-main/mmf/datasets/builders/coco/dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from mmf.common.sample import Sample
from mmf.datasets.builders.vqa2 import VQA2Dataset
from mmf.utils.distributed import byte_tensor_to_object, object_to_byte_tensor
class COCODataset(VQA2Dataset):
def __init__(self, config, dataset_type, imdb_file_... | 3,324 | 39.54878 | 88 | py |
mmf | mmf-main/mmf/datasets/builders/gqa/dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from mmf.common.sample import Sample
from mmf.datasets.mmf_dataset import MMFDataset
class GQADataset(MMFDataset):
def __init__(self, config, dataset_type, imdb_file_index, *args, **kwargs):
super().__init__("gqa", config, dataset_type, imdb... | 2,811 | 36.493333 | 88 | py |
mmf | mmf-main/mmf/datasets/builders/charades/_utils.py | import logging
import tempfile
from pathlib import Path
import pandas as pd
import torch
from torchvision.datasets.video_utils import VideoClips
from torchvision.io import read_video
logger = logging.getLogger(__name__)
def make_charades_df(csv_path, video_dir, classes_file):
# load the csv
logger.info(f"R... | 5,508 | 31.216374 | 84 | py |
mmf | mmf-main/mmf/datasets/builders/charades/dataset.py | import os
import PIL
import torch
from mmf.common.sample import Sample
from mmf.datasets.base_dataset import BaseDataset
from mmf.datasets.builders.charades._utils import (
CharadesVideoClips,
img2gif,
make_charades_df,
)
from mmf.utils.distributed import byte_tensor_to_object, object_to_byte_tensor
from m... | 6,117 | 33.178771 | 86 | py |
mmf | mmf-main/mmf/datasets/builders/retrieval/dataset.py | import random
import torch
from mmf.common.sample import Sample, SampleList
from mmf.common.typings import MMFDatasetConfigType
from mmf.datasets.builders.retrieval.datasets import (
CaptionsDatabase,
COCOAnnotationDatabase,
ConceptualCaptionsDatabase,
)
from mmf.datasets.mmf_dataset import MMFDataset
AN... | 3,293 | 31.613861 | 77 | py |
mmf | mmf-main/mmf/datasets/builders/retrieval/datasets.py | import json
import pandas as pd
import torch
from mmf.utils.file_io import PathManager
class CaptionsDatabase(torch.utils.data.Dataset):
"""
Dataset for Flickr Annotations
"""
SPLITS = {"train": ["train"], "val": ["val"], "test": ["test"]}
def __init__(self, config, splits_path, dataset_type: s... | 3,466 | 28.887931 | 80 | py |
mmf | mmf-main/mmf/datasets/builders/textvqa/dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import torch
from mmf.common.sample import Sample
from mmf.datasets.mmf_dataset import MMFDataset
from mmf.utils.distributed import byte_tensor_to_object, object_to_byte_tensor
from mmf.utils.text import word_tokenize
class TextVQADataset(MMFDatase... | 9,507 | 39.632479 | 85 | py |
mmf | mmf-main/mmf/datasets/builders/vqa2/dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import torch
import tqdm
from mmf.common.sample import Sample
from mmf.datasets.mmf_dataset import MMFDataset
from mmf.utils.distributed import is_main
logger = logging.getLogger(__name__)
class VQA2Dataset(MMFDataset):
def __init__(self, config... | 6,518 | 35.418994 | 85 | py |
mmf | mmf-main/mmf/datasets/builders/conceptual_captions/dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from mmf.common.sample import Sample
from mmf.datasets.builders.coco import COCODataset
class ConceptualCaptionsDataset(COCODataset):
def __init__(self, config, dataset_type, imdb_file_index, *args, **kwargs):
super().__init__(config, dataset... | 1,274 | 34.416667 | 85 | py |
mmf | mmf-main/mmf/utils/inference.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import requests
import torch
from mmf.common.report import Report
from mmf.common.sample import Sample, SampleList
from mmf.utils.build import build_encoder, build_model, build_processors
from mmf.utils.checkpoint import load_pretrained_model
from m... | 3,042 | 38.519481 | 85 | py |
mmf | mmf-main/mmf/utils/checkpoint.py | # Copyright (c) Facebook, Inc. and its affiliates.
import glob
import importlib
import logging
import os
import sys
import warnings
from typing import Any, Dict
import torch
from mmf.common.registry import registry
from mmf.utils.checkpoint_updater import get_pretrained_state_mapping_checkpoint
from mmf.utils.configu... | 23,644 | 37.198708 | 88 | py |
mmf | mmf-main/mmf/utils/modeling.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from torch import nn
logger = logging.getLogger(__name__)
ACT2FN = {
"relu": nn.ReLU,
"sigmoid": nn.Sigmoid,
"tanh": nn.Tanh,
"leaky_relu": nn.LeakyReLU,
}
def get_bert_configured_parameters(module, lr=None, weight_decay=0.01):
... | 2,321 | 30.808219 | 88 | py |
mmf | mmf-main/mmf/utils/torchscript.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict, Optional
from torch import Tensor
def getattr_torchscriptable(
dictionary: Dict[str, Tensor], key: str, default: Optional[Tensor] = None
) -> Optional[Tensor]:
if key in dictionary:
return dictionary[key]
else:
r... | 334 | 21.333333 | 77 | py |
mmf | mmf-main/mmf/utils/transform.py | # Copyright (c) Facebook, Inc. and its affiliates.
from torch import Tensor
def transform_to_batch_sequence(tensor: Tensor) -> Tensor:
if len(tensor.size()) == 2:
return tensor
else:
assert len(tensor.size()) == 3
return tensor.contiguous().view(-1, tensor.size(-1))
def transform_to... | 548 | 26.45 | 77 | py |
mmf | mmf-main/mmf/utils/logger.py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
import collections.abc
import functools
import json
import logging
import os
import sys
import time
from functools import wraps
from typing import Any, Callable, Dict, Optional, Union
import torch
from mmf.common.registry import registry
from mmf.u... | 15,340 | 30.054656 | 87 | py |
mmf | mmf-main/mmf/utils/dataset.py | # Copyright (c) Facebook, Inc. and its affiliates.
import warnings
from typing import List
import torch
from mmf.common.sample import Sample
from omegaconf import DictConfig
def build_bbox_tensors(infos, max_length):
num_bbox = min(max_length, len(infos))
# After num_bbox, everything else should be zero
... | 2,280 | 27.873418 | 80 | py |
mmf | mmf-main/mmf/utils/early_stopping.py | # Copyright (c) Facebook, Inc. and its affiliates.
import numpy as np
import torch
from mmf.utils.distributed import is_main, is_xla
class EarlyStopping:
"""
Provides early stopping functionality. Keeps track of an early stop criteria,
and if it doesn't improve over time restores last best performing
... | 3,466 | 32.336538 | 81 | py |
mmf | mmf-main/mmf/utils/configuration.py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
import json
import logging
import os
import warnings
from ast import literal_eval
from typing import List
import torch
from mmf.common.registry import registry
from mmf.utils.env import import_user_module
from mmf.utils.file_io import PathManager
fr... | 20,095 | 31.998358 | 88 | py |
mmf | mmf-main/mmf/utils/vocab.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import os
from collections import defaultdict
import numpy as np
import torch
from mmf.utils.configuration import get_mmf_cache_dir
from mmf.utils.distributed import is_main, synchronize
from mmf.utils.file_io import PathManager
from mmf.utils.general i... | 15,445 | 33.400891 | 88 | py |
mmf | mmf-main/mmf/utils/checkpoint_updater.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import Any, Dict, Tuple
import torch
from mmf.common.registry import registry
logger = logging.getLogger(__name__)
def is_pl_model_checkpoint(checkpoint):
return "state_dict" in checkpoint
def is_pl_trainer_checkpoint(checkpoint):... | 10,230 | 36.892593 | 88 | py |
mmf | mmf-main/mmf/utils/text.py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
Text utils module contains implementations for various decoding strategies like
Greedy, Beam Search and Nucleus Sampling.
In your model's config you can specify ``inference`` attribute to use these strategies
in the following way:
.. code::
model_config:
... | 16,773 | 34.765458 | 87 | py |
mmf | mmf-main/mmf/utils/distributed.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Inspired from maskrcnn_benchmark, fairseq
import contextlib
import logging
import os
import pickle
import socket
import subprocess
import warnings
from itertools import chain
import torch
from mmf.common.registry import registry
from torch import distributed as dist... | 13,639 | 29.311111 | 88 | py |
mmf | mmf-main/mmf/utils/box_ops.py | # Copyright (c) Facebook, Inc. and its affiliates.
# Mostly copy-pasted from
# https://github.com/facebookresearch/detr/blob/master/util/box_ops.py
import torch
from torch import Tensor
from torchvision.ops.boxes import box_area
def box_cxcywh_to_xyxy(x: Tensor):
x_c, y_c, w, h = x.unbind(-1)
b = [(x_c - 0.5... | 1,707 | 28.448276 | 76 | py |
mmf | mmf-main/mmf/utils/flags.py | # Copyright (c) Facebook, Inc. and its affiliates.
import argparse
class Flags:
def __init__(self):
self.parser = argparse.ArgumentParser()
self.add_core_args()
def get_parser(self):
return self.parser
def add_core_args(self):
self.parser.add_argument_group("Core Argument... | 1,050 | 27.405405 | 85 | py |
mmf | mmf-main/mmf/utils/general.py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
import gc
import logging
import math
import os
import sys
import time
import warnings
from bisect import bisect
from typing import Any, Callable, Dict
import torch
from mmf.utils.distributed import get_rank, get_world_size, is_xla
from mmf.utils.fi... | 15,476 | 31.109959 | 88 | py |
mmf | mmf-main/mmf/utils/visualize.py | # Copyright (c) Facebook, Inc. and its affiliates.
from typing import Any, List, Optional, Tuple
import numpy as np
import torch
import torchvision
from mmf.datasets.processors.frcnn_processor import img_tensorize
from mmf.utils.features.visualizing_image import SingleImageViz
from PIL import Image
def visualize_im... | 2,454 | 30.474359 | 88 | py |
mmf | mmf-main/mmf/utils/env.py | # Copyright (c) Facebook, Inc. and its affiliates.
import glob
import importlib
import logging
import os
import random
import sys
from datetime import datetime
import numpy as np
import torch
from omegaconf import OmegaConf, open_dict
def set_seed(seed):
if seed:
if seed == -1:
# From detect... | 7,010 | 32.385714 | 88 | py |
mmf | mmf-main/mmf/utils/xla.py | # Copyright (c) Facebook, Inc. and its affiliates.
import torch
from mmf.utils.distributed import is_main
try:
import torch_xla.core.xla_model as xm
except ImportError:
xm = None
def save_xla_ckpt(ckpt, file_or_path):
"""
Similar to xm.save, but only try to convert "model" and "optimizer" in an MMF... | 1,221 | 31.157895 | 86 | py |
mmf | mmf-main/mmf/utils/build.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import os
import warnings
from enum import Enum
from typing import Any, Dict, List, Optional, Tuple, Union
import mmf
import pytorch_lightning as pl
import torch
from mmf.common.meter import Meter
from mmf.common.registry import registry
from mmf.datas... | 22,013 | 34.335474 | 86 | py |
mmf | mmf-main/mmf/utils/features/visualizing_image.py | # Copyright (c) Facebook, Inc. and its affiliates.
"""
coding=utf-8
Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
Adapted From Facebook Inc, Detectron2
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 copy of... | 14,747 | 26.463687 | 86 | py |
mmf | mmf-main/mmf/trainers/base_trainer.py | # Copyright (c) Facebook, Inc. and its affiliates.
from abc import ABC, abstractmethod
from mmf.common.registry import registry
from mmf.utils.logger import log_class_usage
from omegaconf import DictConfig
@registry.register_trainer("base")
class BaseTrainer(ABC):
def __init__(self, config: DictConfig):
... | 2,799 | 26.45098 | 81 | py |
mmf | mmf-main/mmf/trainers/lightning_trainer.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import math
import os
from typing import Any, Dict, List, Optional
import omegaconf
from mmf.common.registry import registry
from mmf.datasets.lightning_multi_datamodule import LightningMultiDataModule
from mmf.modules.metrics import Metrics
from mmf.tr... | 13,461 | 38.133721 | 88 | py |
mmf | mmf-main/mmf/trainers/mmf_trainer.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import warnings
import omegaconf
import torch
from mmf.common.registry import registry
from mmf.datasets.multi_datamodule import MultiDataModule
from mmf.modules.metrics import Metrics
from mmf.trainers.base_trainer import BaseTrainer
from mmf.trainers.... | 6,571 | 37.209302 | 86 | py |
mmf | mmf-main/mmf/trainers/callbacks/logistics.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import torch
from mmf.trainers.callbacks.base import Callback
from mmf.utils.configuration import get_mmf_env
from mmf.utils.logger import (
calculate_time_left,
setup_output_folder,
summarize_report,
TensorboardLogger,
WandbLogger,
... | 5,769 | 34.617284 | 87 | py |
mmf | mmf-main/mmf/trainers/core/evaluation_loop.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from abc import ABC
from typing import Any, Dict, Tuple, Type
import torch
import tqdm
from mmf.common.meter import Meter
from mmf.common.report import Report
from mmf.common.sample import to_device
from mmf.utils.distributed import gather_tensor, is_m... | 7,718 | 42.365169 | 88 | py |
mmf | mmf-main/mmf/trainers/core/training_loop.py | # Copyright (c) Facebook, Inc. and its affiliates.
import gc
import logging
from abc import ABC
from typing import Any, Dict
import torch
from mmf.common.meter import Meter
from mmf.common.registry import registry
from mmf.common.report import Report
from mmf.common.sample import to_device
from mmf.utils.distributed ... | 9,307 | 36.684211 | 87 | py |
mmf | mmf-main/mmf/trainers/core/device.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
import warnings
from abc import ABC
import torch
from mmf.common.registry import registry
from mmf.utils.distributed import (
broadcast_xla_master_model_param,
get_world_size,
is_xla,
)
from omegaconf import open_dict
logger = logging.get... | 4,175 | 35.631579 | 87 | py |
mmf | mmf-main/mmf/trainers/lightning_core/torchmetric.py | # Copyright (c) Facebook, Inc. and its affiliates.
import collections
import logging
from typing import Dict, List
import torch
from mmf.common.registry import registry
from mmf.common.sample import SampleList
logger = logging.getLogger(__name__)
class LightningTorchMetrics:
"""
A class used in LightningTr... | 4,992 | 32.510067 | 86 | py |
mmf | mmf-main/mmf/trainers/lightning_core/loop_callback_with_torchmetrics.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import Any, Dict, List, Optional
import torch
from mmf.common.registry import registry
from mmf.common.sample import SampleList
from mmf.utils.timer import Timer
from pytorch_lightning import LightningModule, Trainer
from pytorch_lightning.c... | 6,334 | 37.162651 | 87 | py |
mmf | mmf-main/mmf/trainers/lightning_core/loop_callback.py | # Copyright (c) Facebook, Inc. and its affiliates.
import logging
from typing import Any, Dict, List
import torch
from mmf.common.meter import Meter
from mmf.common.registry import registry
from mmf.common.report import Report
from mmf.common.sample import SampleList
from mmf.utils.logger import calculate_time_left, ... | 8,507 | 35.672414 | 88 | py |
mmf | mmf-main/projects/krisp/graphnetwork_module.py | # Copyright (c) Facebook, Inc. and its affiliates.
# This is the generic module for Graph Network computations,
# which can be added as a component to any base network
# Used some word2vec code from https://github.com/adithyamurali/TaskGrasp
# Also used example code from https://github.com/rusty1s/pytorch_geometric
im... | 70,622 | 38.832487 | 88 | py |
mmf | mmf-main/projects/m4c/scripts/extract_ocr_frcn_feature.py | # Copyright (c) Facebook, Inc. and its affiliates.
# install `vqa-maskrcnn-benchmark` from
# https://github.com/ronghanghu/vqa-maskrcnn-benchmark-m4c
import argparse
import os
import sys
import cv2
import numpy as np
import torch
import tqdm
from maskrcnn_benchmark.config import cfg
from maskrcnn_benchmark.layers imp... | 6,970 | 34.385787 | 88 | py |
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