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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/maskrcnn_benchmark/modeling/roi_heads/keypoint_head/keypoint_head.py
import torch from .roi_keypoint_feature_extractors import make_roi_keypoint_feature_extractor from .roi_keypoint_predictors import make_roi_keypoint_predictor from .inference import make_roi_keypoint_post_processor from .loss import make_roi_keypoint_loss_evaluator class ROIKeypointHead(torch.nn.Module): def __i...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/maskrcnn_benchmark/modeling/roi_heads/keypoint_head/roi_keypoint_predictors.py
from torch import nn from maskrcnn_benchmark import layers from maskrcnn_benchmark.modeling import registry @registry.ROI_KEYPOINT_PREDICTOR.register("KeypointRCNNPredictor") class KeypointRCNNPredictor(nn.Module): def __init__(self, cfg, in_channels): super(KeypointRCNNPredictor, self).__init__() ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/maskrcnn_benchmark/structures/image_list.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. from __future__ import division import torch class ImageList(object): """ Structure that holds a list of images (of possibly varying sizes) as a single tensor. This works by padding the images to the same size, and storing in...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/maskrcnn_benchmark/structures/segmentation_mask.py
import cv2 import copy import torch import numpy as np from maskrcnn_benchmark.layers.misc import interpolate from maskrcnn_benchmark.utils import cv2_util import pycocotools.mask as mask_utils # transpose FLIP_LEFT_RIGHT = 0 FLIP_TOP_BOTTOM = 1 """ ABSTRACT Segmentations come in either: 1) Binary masks 2) Polygons ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/maskrcnn_benchmark/structures/bounding_box.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import torch # transpose FLIP_LEFT_RIGHT = 0 FLIP_TOP_BOTTOM = 1 class BoxList(object): """ This class represents a set of bounding boxes. The bounding boxes are represented as a Nx4 Tensor. In order to uniquely determine the bou...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/maskrcnn_benchmark/structures/bounding_box_pair.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. # Copyright (c) 2021 Microsoft Corporation. Licensed under the MIT license. import torch from .bounding_box import BoxList # transpose FLIP_LEFT_RIGHT = 0 FLIP_TOP_BOTTOM = 1 class BoxPairList(object): """ This class represents a set of ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/maskrcnn_benchmark/structures/boxlist_ops.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. # Copyright (c) 2021 Microsoft Corporation. Licensed under the MIT license. import torch from .bounding_box import BoxList from maskrcnn_benchmark.layers import nms as _box_nms def boxlist_nms(boxlist, nms_thresh, max_proposals=-1, score_field...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/maskrcnn_benchmark/structures/keypoint.py
import torch # transpose FLIP_LEFT_RIGHT = 0 FLIP_TOP_BOTTOM = 1 class Keypoints(object): def __init__(self, keypoints, size, mode=None): # FIXME remove check once we have better integration with device # in my version this would consistently return a CPU tensor device = keypoints.device ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/tests/checkpoint.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. from collections import OrderedDict import os from tempfile import TemporaryDirectory import unittest import torch from torch import nn from maskrcnn_benchmark.utils.model_serialization import load_state_dict from maskrcnn_benchmark.utils.checkpo...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/tests/test_detectors.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import unittest import glob import os import copy import torch from maskrcnn_benchmark.modeling.detector import build_detection_model from maskrcnn_benchmark.structures.image_list import to_image_list import utils CONFIG_FILES = [ # bbox ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/tests/test_nms.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import unittest import numpy as np import torch from maskrcnn_benchmark.layers import nms as box_nms class TestNMS(unittest.TestCase): def test_nms_cpu(self): """ Match unit test UtilsNMSTest.TestNMS in caffe2/operators/...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/tests/test_backbones.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import unittest import copy import torch # import modules to to register backbones from maskrcnn_benchmark.modeling.backbone import build_backbone # NoQA from maskrcnn_benchmark.modeling import registry from maskrcnn_benchmark.config import cfg as...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/tests/test_feature_extractors.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import unittest import copy import torch # import modules to to register feature extractors from maskrcnn_benchmark.modeling.backbone import build_backbone # NoQA from maskrcnn_benchmark.modeling.roi_heads.roi_heads import build_roi_heads # NoQA f...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/tests/test_fbnet.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import unittest import numpy as np import torch import maskrcnn_benchmark.modeling.backbone.fbnet_builder as fbnet_builder TEST_CUDA = torch.cuda.is_available() def _test_primitive(self, device, op_name, op_func, N, C_in, C_out, expand, strid...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/tests/test_predictors.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import unittest import copy import torch # import modules to to register predictors from maskrcnn_benchmark.modeling.backbone import build_backbone # NoQA from maskrcnn_benchmark.modeling.roi_heads.roi_heads import build_roi_heads # NoQA from mask...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/tests/test_data_samplers.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import itertools import random import unittest from torch.utils.data.sampler import BatchSampler from torch.utils.data.sampler import Sampler from torch.utils.data.sampler import SequentialSampler from torch.utils.data.sampler import RandomSampler...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/tests/test_rpn_heads.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import unittest import copy import torch # import modules to to register rpn heads from maskrcnn_benchmark.modeling.backbone import build_backbone # NoQA from maskrcnn_benchmark.modeling.rpn.rpn import build_rpn # NoQA from maskrcnn_benchmark.mode...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/tests/test_segmentation_mask.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import unittest import torch from maskrcnn_benchmark.structures.segmentation_mask import SegmentationMask class TestSegmentationMask(unittest.TestCase): def __init__(self, method_name='runTest'): super(TestSegmentationMask, self).__in...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/tests/test_box_coder.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import unittest import numpy as np import torch from maskrcnn_benchmark.modeling.box_coder import BoxCoder class TestBoxCoder(unittest.TestCase): def test_box_decoder(self): """ Match unit test UtilsBoxesTest.TestBboxTransformRandom...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/demo/webcam.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import argparse import cv2 from maskrcnn_benchmark.config import cfg from predictor import COCODemo import time def main(): parser = argparse.ArgumentParser(description="PyTorch Object Detection Webcam Demo") parser.add_argument( ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/scene_graph_benchmark/demo/predictor.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. import cv2 import torch from torchvision import transforms as T from torchvision.transforms import functional as F from maskrcnn_benchmark.modeling.detector import build_detection_model from maskrcnn_benchmark.utils.checkpoint import DetectronCheck...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/run_oscarplus_pretrain.py
from __future__ import absolute_import, division, print_function import argparse import datetime import json import logging import os import random import sys import time import math import shutil sys.path.insert(0, '.') import numpy as np import torch from oscar.modeling.modeling_bert import BertImgForPreTraining ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/run_captioning.py
# Copyright (c) 2021 Microsoft Corporation. Licensed under the MIT license. import argparse import base64 import numpy as np import os import os.path as op import random, time, json import torch import torch.distributed as dist from torch.utils.data import Dataset from tqdm import tqdm from oscar.utils.logger import ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/run_nlvr.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. # Copyright (c) 2020 Microsoft Corporation. Licensed under the MIT license. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not...
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py
Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/run_retrieval.py
# Copyright (c) 2020 Microsoft Corporation. Licensed under the MIT license. from __future__ import absolute_import, division, print_function import argparse import os import base64 import os.path as op import random, json import numpy as np import torch import torch.nn as nn from torch.utils.data import Dataset, Data...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/run_vqa.py
# Copyright (c) 2020 Microsoft Corporation. Licensed under the MIT license. from __future__ import absolute_import, division, print_function import argparse import glob import logging import os import copy, time, json import base64 import sys sys.path.insert(0, '.') import numpy as np import torch import torch.nn a...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/run_gqa.py
# Copyright (c) 2020 Microsoft Corporation. Licensed under the MIT license. from __future__ import absolute_import, division, print_function import argparse import glob import logging import os import copy, time, json import sys sys.path.insert(0, '.') import numpy as np import torch import torch.nn as nn from torc...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/datasets/oscar_tsv.py
import os import time import json import logging import random import glob import base64 from tqdm import tqdm import numpy as np import torch from torch.utils.data import Dataset from oscar.utils.tsv_file import TSVFile from oscar.utils.misc import load_from_yaml_file class OscarTSVDataset(Dataset): def __init__...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/datasets/build.py
import os import logging import torch from oscar.utils.misc import get_world_size from .oscar_tsv import OscarTSVDataset from transformers2.pytorch_transformers import BertTokenizer class BatchCollator(object): """ From a list of samples from the dataset, returns the images and targets. """ def __...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/utils/caption_evaluate.py
# Copyright (c) 2020 Microsoft Corporation. Licensed under the MIT license. from collections import OrderedDict, defaultdict import json import numpy as np import os.path as op from pprint import pprint import torch import re import subprocess import tempfile import time from typing import Dict, Optional from coco_c...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/utils/metric_logger.py
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. from collections import defaultdict from collections import deque import os import torch from .misc import is_main_process class SmoothedValue(object): """Track a series of values and provide access to smoothed values over a window or t...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/utils/misc.py
# Copyright (c) 2020 Microsoft Corporation. Licensed under the MIT license. import errno import os import os.path as op import yaml import random import torch import numpy as np import torch.distributed as dist def mkdir(path): # if it is the current folder, skip. if path == '': return try: ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/utils/task_utils.py
# Copyright (c) 2020 Microsoft Corporation. Licensed under the MIT license. from __future__ import absolute_import, division, print_function import csv, json import logging import os import sys from io import open import _pickle as cPickle import torch logger = logging.getLogger(__name__) class InputInstance(obje...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/utils/cbs.py
# Copyright (c) 2021 Microsoft Corporation. Licensed under the MIT license. # Copyright (c) 2019, Yufei Wang, Karan Desai. Licensed under the MIT license. # Code is modified from https://github.com/nocaps-org/updown-baseline import anytree import base64 import json import numpy as np import os.path as op import torch...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/modeling/modeling_utils.py
# Copyright (c) 2020 Microsoft Corporation. Licensed under the MIT license. from __future__ import absolute_import, division, print_function, unicode_literals import os import logging import torch import torch.nn.functional as F from transformers2.pytorch_transformers.modeling_bert import (BertConfig, load_...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/oscar/modeling/modeling_bert.py
# Copyright (c) 2020 Microsoft Corporation. Licensed under the MIT license. from __future__ import absolute_import, division, print_function, unicode_literals import logging import math import torch from torch import nn import torch.nn.functional as F from torch.nn import CrossEntropyLoss, MSELoss from transformers2....
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/setup.py
""" Simple check list from AllenNLP repo: https://github.com/allenai/allennlp/blob/master/setup.py To create the package for pypi. 1. Change the version in __init__.py and setup.py. 2. Commit these changes with the message: "Release: VERSION" 3. Add a tag in git to mark the release: "git tag VERSION -m'Adds tag VER...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/hubconf.py
dependencies = ['torch', 'tqdm', 'boto3', 'requests', 'regex'] from hubconfs.bert_hubconf import ( bertTokenizer, bertModel, bertForNextSentencePrediction, bertForPreTraining, bertForMaskedLM, bertForSequenceClassification, bertForMultipleChoice, bertForQuestionAnswering, bertForTok...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/hubconfs/bert_hubconf.py
from pytorch_transformers.tokenization_bert import BertTokenizer from pytorch_transformers.modeling_bert import ( BertModel, BertForNextSentencePrediction, BertForMaskedLM, BertForMultipleChoice, BertForPreTraining, BertForQuestionAnswering, BertForSequenceClassif...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/hubconfs/xlm_hubconf.py
from pytorch_transformers.tokenization_xlm import XLMTokenizer from pytorch_transformers.modeling_xlm import ( XLMConfig, XLMModel, XLMWithLMHeadModel, XLMForSequenceClassification, XLMForQuestionAnswering ) # A lot of models share the same param doc. Use a decorator # to save typing xlm_start_docs...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/hubconfs/xlnet_hubconf.1.py
from pytorch_transformers.tokenization_xlnet import XLNetTokenizer from pytorch_transformers.modeling_xlnet import ( XLNetConfig, XLNetModel, XLNetLMHeadModel, # XLNetForSequenceClassification ) # A lot of models share the same param doc. Use a decorator # to save typing xlnet_docstring = """ Param...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/hubconfs/gpt2_hubconf.py
from pytorch_transformers.tokenization_gpt2 import GPT2Tokenizer from pytorch_transformers.modeling_gpt2 import ( GPT2Model, GPT2LMHeadModel, GPT2DoubleHeadsModel ) # A lot of models share the same param doc. Use a decorator # to save typing gpt2_docstring = """ Params: pretrained_model_name_or...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/hubconfs/transformer_xl_hubconf.py
from pytorch_transformers.tokenization_transfo_xl import TransfoXLTokenizer from pytorch_transformers.modeling_transfo_xl import ( TransfoXLModel, TransfoXLLMHeadModel ) # A lot of models share the same param doc. Use a decorator # to save typing transformer_xl_docstring = """ Transformer XL use a relative...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/hubconfs/gpt_hubconf.py
from pytorch_transformers.tokenization_openai import OpenAIGPTTokenizer from pytorch_transformers.modeling_openai import ( OpenAIGPTModel, OpenAIGPTLMHeadModel, OpenAIGPTDoubleHeadsModel ) # Dependecies that are not specified in global hubconf.py specific_dependencies = ['spacy', 'ftfy'] # A lot of models share th...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/examples/run_squad.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...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/examples/run_glue.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...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/examples/run_bertology.py
#!/usr/bin/env python3 # Copyright 2018 CMU and The HuggingFace Inc. team. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless requir...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/examples/run_generation.py
#!/usr/bin/env python3 # coding=utf-8 # Copyright 2018 Google AI, Google Brain and Carnegie Mellon University 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 c...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/examples/utils_squad.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 co...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/examples/single_model_scripts/run_transfo_xl.py
# coding=utf-8 # Copyright 2018 Google AI, Google Brain and Carnegie Mellon University 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 Lice...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/examples/single_model_scripts/run_swag.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...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/examples/single_model_scripts/run_openai_gpt.py
# coding=utf-8 # Copyright 2018 Google AI, Google Brain and Carnegie Mellon University 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 Lice...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/examples/lm_finetuning/simple_lm_finetuning.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...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/examples/lm_finetuning/finetune_on_pregenerated.py
from argparse import ArgumentParser from pathlib import Path import os import torch import logging import json import random import numpy as np from collections import namedtuple from tempfile import TemporaryDirectory from torch.utils.data import DataLoader, Dataset, RandomSampler from torch.utils.data.distributed im...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/examples/lm_finetuning/pregenerate_training_data.py
from argparse import ArgumentParser from pathlib import Path from tqdm import tqdm, trange from tempfile import TemporaryDirectory import shelve from multiprocessing import Pool from random import random, randrange, randint, shuffle, choice from pytorch_transformers.tokenization_bert import BertTokenizer import numpy ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/docs/source/conf.py
# -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup ------------------------------------------------------------...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/optimization.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team. # # 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 the License at # # http://www.apache.org/licenses/LICEN...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/__main__.py
# coding: utf8 def main(): import sys if (len(sys.argv) < 4 or len(sys.argv) > 6) or sys.argv[1] not in ["bert", "gpt", "transfo_xl", "gpt2", "xlnet", "xlm"]: print( "Should be used as one of: \n" ">> pytorch_transformers bert TF_CHECKPOINT TF_CONFIG PYTORCH_DUMP_OUTPUT, \n" ">> ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/convert_gpt2_checkpoint_to_pytorch.py
# coding=utf-8 # Copyright 2018 The HuggingFace Inc. team. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/convert_openai_checkpoint_to_pytorch.py
# coding=utf-8 # Copyright 2018 The HuggingFace Inc. team. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/modeling_utils.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...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/modeling_bert.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...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/modeling_gpt2.py
# coding=utf-8 # Copyright 2018 The OpenAI Team Authors and 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 copy of the License...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/modeling_openai.py
# coding=utf-8 # Copyright 2018 The OpenAI Team Authors and 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 copy of the License...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tokenization_bert.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team. # # 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 the License at # # http://www.apache.org/licenses/LICEN...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/convert_xlnet_checkpoint_to_pytorch.py
# coding=utf-8 # Copyright 2018 The HuggingFace Inc. team. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/convert_xlm_checkpoint_to_pytorch.py
# coding=utf-8 # Copyright 2018 The HuggingFace Inc. team. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/convert_transfo_xl_checkpoint_to_pytorch.py
# coding=utf-8 # Copyright 2018 The HuggingFace Inc. team. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/file_utils.py
""" Utilities for working with the local dataset cache. This file is adapted from the AllenNLP library at https://github.com/allenai/allennlp Copyright by the AllenNLP authors. """ from __future__ import (absolute_import, division, print_function, unicode_literals) import sys import json import logging import os impor...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/convert_tf_checkpoint_to_pytorch.py
# coding=utf-8 # Copyright 2018 The HuggingFace Inc. team. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/modeling_transfo_xl.py
# coding=utf-8 # Copyright 2018 Google AI, Google Brain and Carnegie Mellon University 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 Lice...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/modeling_xlnet.py
# coding=utf-8 # Copyright 2018 Google AI, Google Brain and Carnegie Mellon University 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 Lice...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/modeling_xlm.py
# coding=utf-8 # Copyright 2019-present, Facebook, Inc and the HuggingFace Inc. team. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Un...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tokenization_transfo_xl.py
# coding=utf-8 # Copyright 2018 Google AI, Google Brain and Carnegie Mellon University 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 Lice...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/convert_pytorch_checkpoint_to_tf.py
# coding=utf-8 # Copyright 2018 The HuggingFace Inc. team. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/modeling_transfo_xl_utilities.py
# coding=utf-8 # Copyright 2018 Google AI, Google Brain and Carnegie Mellon University 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 Lice...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/modeling_transfo_xl_test.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/tokenization_transfo_xl_test.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/modeling_openai_test.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/tokenization_utils_test.py
# coding=utf-8 # Copyright 2018 HuggingFace Inc.. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or a...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/modeling_common_test.py
# coding=utf-8 # Copyright 2019 HuggingFace Inc. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/tokenization_xlm_test.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/modeling_bert_test.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/optimization_test.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/modeling_xlnet_test.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/tokenization_bert_test.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/tokenization_xlnet_test.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/modeling_xlm_test.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/modeling_gpt2_test.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/tokenization_gpt2_test.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
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Retrieval-Augmented-Visual-Question-Answering
Retrieval-Augmented-Visual-Question-Answering-main/materials/Oscar/transformers2/pytorch_transformers/tests/tokenization_openai_test.py
# coding=utf-8 # Copyright 2018 The Google AI Language Team Authors. # # 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 the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by ...
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MSRP
MSRP-master/LanguageModel.py
import torch import numpy as np from tqdm import tqdm from transformers import AutoTokenizer, AutoModelForCausalLM from transformers import OpenAIGPTTokenizer, OpenAIGPTModel, OpenAIGPTLMHeadModel class LanguageModel: def __init__(self, div_val=1000, model_name='anonsubms/lm_giga'): self.t...
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MSRP
MSRP-master/evaluate.py
#!/usr/bin/env python # coding: utf-8 import os import sys import torch import numpy as np from tqdm import tqdm from torch import nn os.environ["TOKENIZERS_PARALLELISM"] = "false" from LanguageModel import LanguageModel from SemanticSimilarity import SemanticSimilarity from pythonrouge.pythonrouge import Pythonroug...
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MSRP
MSRP-master/evaluate_outputs.py
import os import sys sys.path.insert(0,'..') os.environ["TOKENIZERS_PARALLELISM"] = "false" import numpy as np import torch from torch import nn from pythonrouge.pythonrouge import Pythonrouge from LanguageModel import LanguageModel from SemanticSimilarity import SemanticSimilarity from sentence_transformers import ...
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MSRP
MSRP-master/pretrain_t5.py
import sys import os os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID" import nltk import torch import numpy as np from datasets import load_dataset, load_metric from transformers import T5ForConditionalGeneration, AutoTokenizer, AutoModelForSeq2SeqLM, T5Config from transformers import MT5ForConditionalGeneration from tr...
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MSRP
MSRP-master/SemanticSimilarity.py
import torch import numpy as np import torch.nn.functional as F from torch import nn from tqdm import tqdm from torch.nn import Embedding from torch.nn.utils.rnn import pad_sequence from sentence_transformers import SentenceTransformer # This code and file are based on https://github.com/raphael-sch/HC_Sentence_Summ...
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MSRP
MSRP-master/train.py
# coding=utf-8 import sys import wandb import gc import pdb import warnings import time import copy import math import string import argparse import glob import os import pickle import random import re import shutil import pandas as pd from functools import partial from typing import Dict, List, Tuple from itertool...
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benchmark-rrc
benchmark-rrc-master/python/pybullet_planning/utils/transformations.py
# -*- coding: utf-8 -*- # transformations.py # Copyright (c) 2006, Christoph Gohlke # Copyright (c) 2006-2009, The Regents of the University of California # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions a...
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benchmark-rrc
benchmark-rrc-master/python/residual_learning/residual_state.py
from mp.states import State from .residual_sac import ResidualSAC import dl from dl import nest import torch import numpy as np import os def load_policy(logdir): config = os.path.join(logdir, 'logs/config.gin') dl.load_config(config) alg = ResidualSAC(logdir) pi = alg.pi pi.eval() frameskip...
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benchmark-rrc
benchmark-rrc-master/python/residual_learning/modules.py
"""Define networks and ResidualPPO2.""" from dl.modules import TanhDiagGaussian, ProductDistribution from dl import nest import torch import torch.nn as nn import numpy as np class ObservationFilter(object): """Filters information to policy and value networks for residual_learning and domain randomization....
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