python_code stringlengths 0 992k | repo_name stringlengths 8 46 | file_path stringlengths 5 162 |
|---|---|---|
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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/charades/dataset.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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/charades/_utils.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import copy
import json
from mmf.datasets.databases.annotation_database import AnnotationDatabase
from mmf.utils.general import get_absolute_path
class OKVQAAnnotationDatabase(AnnotationDatabase):
def __init__(self, config, path, *args, **kwargs):
path =... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/okvqa/database.py |
EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/okvqa/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import registry
from mmf.datasets.builders.okvqa.dataset import OKVQADataset
from mmf.datasets.mmf_dataset_builder import MMFDatasetBuilder
@registry.register_builder("okvqa")
class OKVQABuilder(MMFDatasetBuilder):
def __init__(
s... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/okvqa/builder.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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/okvqa/dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
| EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/nlvr2/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from mmf.common.registry import registry
from mmf.datasets.builders.nlvr2.dataset import NLVR2Dataset
from mmf.datasets.b... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/nlvr2/builder.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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/nlvr2/dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import registry
from mmf.datasets.builders.gqa.builder import GQABuilder
from mmf.datasets.builders.gqa.masked_dataset import MaskedGQADataset
@registry.register_builder("masked_gqa")
class MaskedGQABuilder(GQABuilder):
def __init__(self... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/gqa/masked_builder.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import random
from mmf.common.sample import Sample
from mmf.datasets.mmf_dataset import MMFDataset
class MaskedGQADataset(MMFDataset):
def __init__(self, config, dataset_type, imdb_file_index, *args, **kwargs):
super().__init__(
"masked_gqa"... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/gqa/masked_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
__all__ = ["GQABuilder", "GQADataset", "MaskedGQABuilder", "MaskedGQADataset"]
from .builder import GQABuilder
from .dataset import GQADataset
from .masked_builder import MaskedGQABuilder
from .masked_dataset import MaskedGQADataset
| EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/gqa/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import registry
from mmf.datasets.builders.gqa.dataset import GQADataset
from mmf.datasets.mmf_dataset_builder import MMFDatasetBuilder
@registry.register_builder("gqa")
class GQABuilder(MMFDatasetBuilder):
def __init__(self, dataset_nam... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/gqa/builder.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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/gqa/dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from .builder import VizWizBuilder
from .dataset import VizWizDataset
__all__ = ["VizWizBuilder", "VizWizDataset"]
| EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vizwiz/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import registry
from mmf.datasets.builders.vizwiz.dataset import VizWizDataset
from mmf.datasets.builders.vqa2 import VQA2Builder
@registry.register_builder("vizwiz")
class VizWizBuilder(VQA2Builder):
def __init__(self):
super()._... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vizwiz/builder.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,
... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vizwiz/dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.utils.env import import_files
import_files(__file__, "mmf.datasets.builders.airstore")
| EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/airstore/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import registry
from mmf.datasets.builders.airstore.dataset import AirstoreDataset
from mmf.datasets.mmf_dataset_builder import MMFDatasetBuilder
@registry.register_builder("airstore")
class AirstoreDatasetBuilder(MMFDatasetBuilder):
def... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/airstore/builder.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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/airstore/dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from mmf.common.registry import registry
from mmf.datasets.builders.vqa2.builder import VQA2Builder
from mmf.datasets.bui... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vqa2/masked_builder.py |
import random
from mmf.common.sample import Sample
from mmf.datasets.builders.vqa2.dataset import VQA2Dataset
class MaskedVQA2Dataset(VQA2Dataset):
def __init__(self, config, dataset_type, imdb_file_index, *args, **kwargs):
super().__init__(
config,
dataset_type,
imdb_... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vqa2/masked_dataset.py |
import random
from mmf.datasets.builders.vqa2.dataset import VQA2Dataset
class MaskedQVQA2Dataset(VQA2Dataset):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.dataset_name = "masked_q_vqa2"
def add_answer_info(self, sample_info, current_sample):
length = ... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vqa2/masked_q_vqa2_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import os
import warnings
from mmf.common.registry import registry
from mmf.datasets.builders.vqa2.builder import VQA2B... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vqa2/masked_q_vqa2_builder.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import Registry
from mmf.datasets.builders.vizwiz import VizWizBuilder
from mmf.datasets.builders.vqa2.ocr_dataset import VQA2OCRDataset
@Registry.register_builder("vqa2_ocr")
class TextVQABuilder(VizWizBuilder):
def __init__(self):
... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vqa2/ocr_builder.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.datasets.builders.vizwiz import VizWizDataset
from mmf.utils.text import word_tokenize
class VQA2OCRDataset(VizWizDataset):
def __init__(self, imdb_file, image_feat_directories, verbose=False, **data_params):
super(VQA2OCRDataset, self).__init__(... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vqa2/ocr_dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
__all__ = ["VQA2Builder", "VQA2Dataset"]
from .builder import VQA2Builder
from .dataset import VQA2Dataset
| EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vqa2/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from mmf.common.registry import registry
from mmf.datasets.builders.vqa2.dataset import VQA2Dataset
from mmf.datasets.mmf_... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vqa2/builder.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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vqa2/dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import registry
from mmf.datasets.builders.flickr30k.masked_dataset import MaskedFlickr30kDataset
from mmf.datasets.mmf_dataset_builder import MMFDatasetBuilder
@registry.register_builder("masked_flickr30k")
class MaskedFlickr30kBuilder(MMFDa... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/flickr30k/masked_builder.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.typings import MMFDatasetConfigType
from mmf.datasets.builders.localized_narratives.masked_dataset import (
MaskedLocalizedNarrativesDatasetMixin,
)
from mmf.datasets.mmf_dataset import MMFDataset
class MaskedFlickr30kDataset(MaskedLocalizedNarra... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/flickr30k/masked_dataset.py |
EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/flickr30k/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
import copy
import json
from mmf.datasets.builders.okvqa.database import OKVQAAnnotationDatabase
from mmf.utils.file_io import PathManager
class VQACPv2AnnotationDatabase(OKVQAAnnotationDatabase):
def __init__(self, config, path, *args, **kwargs):
super(... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vqacp_v2/database.py |
EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vqacp_v2/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import registry
from mmf.datasets.builders.vqacp_v2.dataset import VQACPv2Dataset
from mmf.datasets.mmf_dataset_builder import MMFDatasetBuilder
@registry.register_builder("vqacp_v2")
class VQACPv2Builder(MMFDatasetBuilder):
def __init__(... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vqacp_v2/builder.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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/vqacp_v2/dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
| EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/textcaps/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import Registry
from mmf.datasets.builders.coco.dataset import COCODataset
from mmf.datasets.builders.textcaps.dataset import TextCapsDataset
from mmf.datasets.builders.textvqa.builder import TextVQABuilder
@Registry.register_builder("textcap... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/textcaps/builder.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.datasets.builders.textvqa.dataset import TextVQADataset
from mmf.utils.distributed import object_to_byte_tensor
class TextCapsDataset(TextVQADataset):
def __init__(self, config, dataset_type, imdb_file_index, *args, **kwargs):
super().__init__(co... | EXA-1-master | exa/models/mmf-main/mmf/datasets/builders/textcaps/dataset.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from dataclasses import dataclass
from typing import Any, Dict, List, Type
from mmf.common.registry import registry
from mmf.common.report import Report
from mmf.datasets.processors.processors import BatchProcessor, BatchProcessorConfigType
@dataclass
class ArgMaxP... | EXA-1-master | exa/models/mmf-main/mmf/datasets/processors/prediction_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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/processors/video_processors.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.datasets.processors.bert_processors import MaskedTokenProcessor
from mmf.datasets.processors.frcnn_processor import FRCNNPreprocess
from mmf.datasets.processors.image_processors import TorchvisionTransforms
from mmf.datasets.processors.prediction_processors i... | EXA-1-master | exa/models/mmf-main/mmf/datasets/processors/__init__.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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/processors/functional.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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/processors/frcnn_processor.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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/processors/bert_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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/processors/processors.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... | EXA-1-master | exa/models/mmf-main/mmf/datasets/processors/detection_transforms.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
... | EXA-1-master | exa/models/mmf-main/mmf/datasets/processors/image_processors.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import importlib
import logging
import sys
from mmf.common.registry import registry
from packaging import version
logger = logging.getLogger(__name__)
ORIGINAL_PATCH_FUNCTIONS_KEY = "original_patch_functions"
registry.register(ORIGINAL_PATCH_FUNCTIONS_KEY, {})
de... | EXA-1-master | exa/models/mmf-main/mmf/utils/patch.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/build.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/configuration.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/vocab.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/env.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/checkpoint.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import re
class EvalAIAnswerProcessor:
"""
Processes an answer similar to Eval AI
copied from
https://github.com/facebookresearch/mmf/blob/c46b3b3391275b4181567db80943473a89ab98ab/pythia/tasks/processors.py#L897
"""
CONTRACTIONS = {
... | EXA-1-master | exa/models/mmf-main/mmf/utils/m4c_evaluators.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/box_ops.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import time
class Timer:
DEFAULT_TIME_FORMAT_DATE_TIME = "%Y/%m/%d %H:%M:%S"
DEFAULT_TIME_FORMAT = ["%03dms", "%02ds", "%02dm", "%02dh"]
def __init__(self):
self.start = time.time() * 1000
def get_current(self):
return self.get_time_... | EXA-1-master | exa/models/mmf-main/mmf/utils/timer.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/flags.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# Original taken from ParlAI https://git.io/JvjfS, this file has been
# adapted for MMF use cases.
"""
Utilities for downloading and building data.
These can be replaced if your particular file system does not support them.
"""
import collecti... | EXA-1-master | exa/models/mmf-main/mmf/utils/download.py |
# Copyright (c) Facebook, Inc. and its affiliates.
| EXA-1-master | exa/models/mmf-main/mmf/utils/__init__.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/visualize.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/logger.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):... | EXA-1-master | exa/models/mmf-main/mmf/utils/checkpoint_updater.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
... | EXA-1-master | exa/models/mmf-main/mmf/utils/dataset.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/distributed.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/transform.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:
... | EXA-1-master | exa/models/mmf-main/mmf/utils/text.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/inference.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from iopath.common.file_io import PathManager as pm
PathManager = pm()
try:
# [FB only] register internal file IO handlers
from mmf.utils.fb.file_io_handlers import register_handlers
register_handlers(PathManager)
except ImportError:
pass
| EXA-1-master | exa/models/mmf-main/mmf/utils/file_io.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
... | EXA-1-master | exa/models/mmf-main/mmf/utils/early_stopping.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/torchscript.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import json
import os
from mmf.datasets.processors.processors import EvalAIAnswerProcessor
def get_score(occurences):
if occurences == 0:
return 0
elif occurences == 1:
return 0.3
elif occurences == 2:
return 0.6
... | EXA-1-master | exa/models/mmf-main/mmf/utils/process_answers.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):
... | EXA-1-master | exa/models/mmf-main/mmf/utils/modeling.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/xla.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/general.py |
# Copyright (c) Facebook, Inc. and its affiliates.
| EXA-1-master | exa/models/mmf-main/mmf/utils/features/__init__.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... | EXA-1-master | exa/models/mmf-main/mmf/utils/features/visualizing_image.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from .build_phoc import build_phoc # NoQA
| EXA-1-master | exa/models/mmf-main/mmf/utils/phoc/__init__.py |
import numpy as np
from .cphoc import build_phoc as _build_phoc_raw
_alphabet = {
"a",
"b",
"c",
"d",
"e",
"f",
"g",
"h",
"i",
"j",
"k",
"l",
"m",
"n",
"o",
"p",
"q",
"r",
"s",
"t",
"u",
"v",
"w",
"x",
"y",
"z",
... | EXA-1-master | exa/models/mmf-main/mmf/utils/phoc/build_phoc.py |
# Copyright (c) Facebook, Inc. and its affiliates.
"""
coding=utf-8
Copyright 2018, Antonio Mendoza Hao Tan, Mohit Bansal
Adapted From Facebook Inc, Detectron2 && Huggingface Co.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You ... | EXA-1-master | exa/models/mmf-main/mmf/models/frcnn.py |
# Copyright 2019 project LXMERT.
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
# Copyright (c) Facebook, Inc. and its affiliates.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use th... | EXA-1-master | exa/models/mmf-main/mmf/models/lxmert.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
from mmf.common.registry import registry
from mmf.models.pythia import Pythia
from mmf.modules.embeddings import ProjectionEmbedding
from mmf.utils.transform import transform_to_batch_sequence
from torch import nn
try:
from transformers3.modeling_ber... | EXA-1-master | exa/models/mmf-main/mmf/models/mmf_bert.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
from dataclasses import dataclass, field
from typing import Dict, List, Optional
import torch
from mmf.common.registry import registry
from mmf.models.transformers.base import (
BaseTransformer,
BaseTransformerBackendConfig,
BaseTransformer... | EXA-1-master | exa/models/mmf-main/mmf/models/mmf_transformer.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import math
from copy import deepcopy
from dataclasses import dataclass
from typing import Any, Tuple
import torch
from mmf.common.registry import registry
from mmf.models.base_model import BaseModel
from mmf.modules.encoders import IdentityEncoder
from mmf.modules.l... | EXA-1-master | exa/models/mmf-main/mmf/models/alignment.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import registry
from mmf.models.pythia import Pythia
@registry.register_model("lorra")
class LoRRA(Pythia):
def __init__(self, config):
super().__init__(config)
@classmethod
def config_path(cls):
return "configs/... | EXA-1-master | exa/models/mmf-main/mmf/models/lorra.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from copy import deepcopy
import torch
from mmf.common.registry import registry
from mmf.models.base_model import BaseModel
from mmf.modules.layers import ClassifierLayer, ConvNet, Flatten
from torch import nn
_TEMPLATES = {
"question_vocab_size": "{}_text_voca... | EXA-1-master | exa/models/mmf-main/mmf/models/cnn_lstm.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import math
import os
from copy import deepcopy
from typing import Dict, List, Optional, Tuple
import numpy as np
import torch
import torch.nn.functional as F
from mmf.common.registry import registry
from mmf.models import BaseModel
from mmf.modules.hf_layers import ... | EXA-1-master | exa/models/mmf-main/mmf/models/vilbert.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
from mmf.common.registry import registry
from mmf.models.base_model import BaseModel
from mmf.modules.layers import ReLUWithWeightNormFC
# Note: Doesn't work currently. Needs to be migrated to new API
@registry.register_model("top_down_bottom_up")
class ... | EXA-1-master | exa/models/mmf-main/mmf/models/top_down_bottom_up.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# isort:skip_file
from .albef.vit import AlbefVitEncoder
from .ban import BAN
from .base_model import BaseModel
from .butd import BUTD
from .cnn_lstm import CNNLSTM
from .fusions import ConcatBERT, ConcatBoW, FusionBase, LateFusion
from .lorra import LoRRA
from .m4c i... | EXA-1-master | exa/models/mmf-main/mmf/models/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.common.registry import registry
from mmf.models.m4c import M4C
@registry.register_model("m4c_captioner")
class M4CCaptioner(M4C):
def __init__(self, config):
super().__init__(config)
self.remove_unk_in_pred = self.config.remove_unk_in_pre... | EXA-1-master | exa/models/mmf-main/mmf/models/m4c_captioner.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... | EXA-1-master | exa/models/mmf-main/mmf/models/vinvl.py |
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Models built in MMF need to inherit ``BaseModel`` class and adhere to
a fixed format. To create a model for MMF, follow this quick cheatsheet.
1. Inherit ``BaseModel`` class, make sure to call ``super().__init__()`` in your
class's ``__init__`` function.
2. Im... | EXA-1-master | exa/models/mmf-main/mmf/models/base_model.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# Initial version was taken from https://github.com/uclanlp/visualbert
# which was cleaned up and adapted for MMF.
import os
from copy import deepcopy
from typing import Dict, List, Optional, Tuple
import torch
from mmf.common.registry import registry
from mmf.model... | EXA-1-master | exa/models/mmf-main/mmf/models/visual_bert.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import collections
from copy import deepcopy
import torch
from mmf.common.registry import registry
from mmf.models.base_model import BaseModel
from mmf.modules.encoders import MultiModalEncoderBase
from mmf.utils.build import build_classifier_layer
class UnimodalBa... | EXA-1-master | exa/models/mmf-main/mmf/models/unimodal.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import collections
from copy import deepcopy
import torch
from mmf.common.registry import registry
from mmf.models.base_model import BaseModel
from mmf.modules.encoders import MultiModalEncoderBase
from mmf.utils.build import build_classifier_layer
from mmf.utils.mode... | EXA-1-master | exa/models/mmf-main/mmf/models/fusions.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
from mmf.common.registry import registry
from mmf.models.base_model import BaseModel
from mmf.modules.embeddings import BiLSTMTextEmbedding
from mmf.modules.layers import BCNet, BiAttention, FCNet, WeightNormClassifier
from torch import nn
@registry.regi... | EXA-1-master | exa/models/mmf-main/mmf/models/ban.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from mmf.models.pythia import Pythia
from mmf.modules.decoders import VisDialDiscriminator
class VisDialMultiModalModel(Pythia):
def __init__(self, config):
super().__init__(config)
def build(self):
self._init_text_embedding()
self._... | EXA-1-master | exa/models/mmf-main/mmf/models/visdial_multi_modal.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import collections.abc
import logging
from dataclasses import dataclass
from typing import Any, Dict, List, Optional, Tuple
import torch
from mmf.common.registry import registry
from mmf.models.base_model import BaseModel
from mmf.models.transformers.heads.utils impor... | EXA-1-master | exa/models/mmf-main/mmf/models/vilt.py |
# Copyright (c) Facebook, Inc. and its affiliates.
# Initial version was taken from https://github.com/ChenRocks/UNITER/
# and adapted for MMF.
import copy
import logging
import random
from collections import namedtuple
from collections.abc import MutableMapping
from dataclasses import asdict, dataclass, field
from t... | EXA-1-master | exa/models/mmf-main/mmf/models/uniter.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... | EXA-1-master | exa/models/mmf-main/mmf/models/movie_mcan.py |
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