python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
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# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
import json,sys,os
output_path = 'output/'
def json_save(path, obj):
with open(path, 'w') as f:
json.dump(obj, f)
def os_... | CoDraw-master | script/preprocess.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Copyright 2021 Huawei Technologies Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "L... | bit-main | utils_squad.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
#
# 2022.09.25 - Add distill_attn argument for removing attention distillation
# Meta Platform... | bit-main | kd_learner_glue.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Copyright 2021 Huawei Technologies Co., Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "L... | bit-main | helper.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
#
# 2022.09.25 - Add support for using quantized Bert model as teacher
# Meta Platforms, Inc. ... | bit-main | quant_task_distill_squad.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
#
# 2022.09.25 - Add default learning rate and batch size
# Meta Platforms, Inc. <zechunliu@fb... | bit-main | utils_glue.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
#
# 2022.09.25 - Add distill_attn argument for removing attention distillation
# Meta Platform... | bit-main | kd_learner_squad.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
#
# 2022.09.25 - Add support for using quantized Bert model as teacher
# Meta Platforms, Inc. ... | bit-main | quant_task_distill_glue.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018,... | bit-main | transformer/configuration_utils.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018,... | bit-main | transformer/configuration_bert.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
#
# 2022.09.25 - Add elastic quantization support
# Meta Platforms, Inc. <zechunliu@fb.com>
#
... | bit-main | transformer/modeling_bert_quant.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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 torch
import torch.nn as nn
import logging
import math
class LearnableBias(nn.Module):
def __i... | bit-main | transformer/utils_quant.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under th... | bit-main | transformer/optimization.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
#
# Licensed under th... | bit-main | transformer/tokenization.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
#
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018,... | bit-main | transformer/modeling_bert.py |
# coding=utf-8
# Copyright (c) Meta Platforms, Inc. and 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.
"""
Utilities for working with the local dataset cache.
This file is adapted from the AllenNLP library at h... | bit-main | transformer/file_utils.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import Optional
from overrides import overrides
from allennlp.training.metrics.metric import Metric
import torch
import numpy as np
from curiosity.util import get_logger
log = get_logger(__name__)
@Metric.register("mean_reciproc... | curiosity-main | curiosity/metrics.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
A database containing all the wikipedia/entity linking information.
"""
import random
import re
import subprocess
import os
from contextlib import contextmanager
from collections import defaultdict
from typing import List, Tuple, Dict, Name... | curiosity-main | curiosity/db.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import numpy as np
from overrides import overrides
from allennlp.common.util import JsonDict
from allennlp.data import Instance
from allennlp.predictors.predictor import Predictor
from allennlp.data.dataset_readers.dataset_reader impo... | curiosity-main | curiosity/predictors.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict, Optional, Union
import math
import torch
from torch import nn
from allennlp.nn.util import (
get_text_field_mask,
sequence_cross_entropy_with_logits,
masked_mean,
)
from allennlp.data.vocabulary import Vocab... | curiosity-main | curiosity/models.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Implement very simple similarity search
"""
from typing import List, Optional
import pickle
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
from curiosity.db import Fact, c... | curiosity-main | curiosity/similarity.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
def get_logger(name):
log = logging.getLogger(name)
if len(log.handlers) < 2:
formatter = logging.Formatter(
"%(asctime)s - %(name)s - %(levelname)s - %(message)s"
)
fh = logging.Fi... | curiosity-main | curiosity/util.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict
import torch
from overrides import overrides
from allennlp.common.registrable import Registrable
from allennlp.modules.similarity_functions.similarity_function import SimilarityFunction
class FactRanker(torch.nn.Module... | curiosity-main | curiosity/nn.py |
curiosity-main | curiosity/__init__.py | |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict, Optional, Union
import math
import torch
from torch import nn
from allennlp.nn.util import (
get_text_field_mask, sequence_cross_entropy_with_logits,
masked_mean
)
from allennlp.data.vocabulary import Vocabulary... | curiosity-main | curiosity/baseline_models.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
Reader for curiosity dialog dataset. Below is a sample json with relevant structure
{
"dialogs": [
{
"messages": [
{
"message": "Hi, what do you know about St. Louis' history?",
... | curiosity-main | curiosity/reader.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import os
import json
from itertools import cycle
import click
import _jsonnet
from curiosity.stats import (
MajorityLikes,
TfidfFactBaseline,
MajorityDialogActs,
MajorityPolicyActs,
save_metrics,
fact_length_stats,
)
f... | curiosity-main | curiosity/cli.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
"""
This file computes baseline accuracies based on majority
based voting
"""
from typing import Dict, Optional, List
import json
import numpy as np
import pandas as pd
from allennlp.data.tokenizers.token import Token
from curiosity.reader impo... | curiosity-main | curiosity/stats.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict, Union
import torch
from pytorch_pretrained_bert.modeling import BertModel
from allennlp.modules.token_embedders.bert_token_embedder import PretrainedBertModel
class BertEncoder(torch.nn.Module):
"""
Adapted ... | curiosity-main | curiosity/bert.py |
#!/usr/bin/env python3
#Copyright (c) Facebook, Inc. and its affiliates.
"""
Reader for curiosity dialog dataset. Below is a sample json with relevant structure
{
"dialogs": [
{
"messages": [
{
"message": "Hi, what do you know about St. Louis' history?",
... | curiosity-main | curiosity/baseline_reader.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import Dict, List, Tuple, Optional
import numpy
from overrides import overrides
import torch
import torch.nn.functional as F
from torch.nn.modules.linear import Linear
from torch.nn.modules.rnn import LSTMCell
from torch.nn import ... | curiosity-main | curiosity/paraphrase_models.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
from curiosity.reader import CuriosityDialogReader, USER, ASSISTANT
def test_text_to_instance():
facts_0 = [
{"fid": 1, "used": True},
{"fid": 1, "used": False},
{"fid": 1, "used": False},
]
facts_1 = [
... | curiosity-main | curiosity/tests/test_reader.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
import torch
import pytest
from curiosity.metrics import MeanReciprocalRank
def test_mrr():
logits = torch.tensor([1, 2, 0.5, 0, 4, 3]).reshape(1, 1, -1)
labels = torch.tensor([0, 1, 0, 0, 0, 1]).reshape(1, 1, -1)
mask = torch.ten... | curiosity-main | curiosity/tests/test_metrics.py |
curiosity-main | curiosity/tests/__init__.py | |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import glob
import os
import shutil
from os import path
from typing import List
from setuptools import find_packages, setup
cwd = os.path.dirname(os.path.abspath(__file__))
version = "0.0.1"
try:
if not os.getenv("RELEA... | d2go-main | setup.py |
# Adapted from https://github.com/facebookresearch/detectron2/
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import glob
import multiprocessing as mp
import os
import time
import cv2
import tqdm
from d2go.model_zoo import model_zoo
from d2go.utils.demo_predictor import VisualizationDemo
from detec... | d2go-main | demo/demo.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import os
import tempfile
import unittest
import d2go.projects.detr.runner as oss_runner
import d2go.runner.default_runner as default_runner
from d2go.utils.testing.data_loader_helper import create_local_dataset
# RUN:
# b... | d2go-main | projects_oss/detr/test_detr_runner.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import io
import unittest
from typing import List
import torch
from detr.hub import detr_resnet50, detr_resnet50_panoptic
from detr.models.backbone import Backbone
from detr.models.matcher import HungarianMatcher
from detr.mo... | d2go-main | projects_oss/detr/test_all.py |
import logging
import unittest
import torch
from d2go.config import CfgNode as CN
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.modeling import BACKBONE_REGISTRY
from detectron2.utils.file_io import PathManager
from detr.backbone.deit import add_deit_backbone_config
from detr.backbone.pit imp... | d2go-main | projects_oss/detr/test_deit_backbone.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
import torch
from d2go.runner import create_runner
from detr.util.misc import nested_tensor_from_tensor_list
from fvcore.nn import flop_count_table, FlopCountAnalysis
class Tester(unittest.TestCase):
@s... | d2go-main | projects_oss/detr/test_detr_export.py |
# ------------------------------------------------------------------------------------------------
# Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# -------------------------------------------------------------------------... | d2go-main | projects_oss/detr/setup.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# ------------------------------------------------------------------------------------------------
# Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LI... | d2go-main | projects_oss/detr/test_op.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import argparse
import datetime
import json
import logging
import os
import random
import time
from datetime import timedelta
from pathlib import Path
import detr.util.misc as utils
import numpy as np
import torch
import torch.distributed as dist
i... | d2go-main | projects_oss/detr/main.py |
#!/usr/bin/env python3
from d2go.config import CfgNode as CN
from d2go.data.dataset_mappers.build import D2GO_DATA_MAPPER_REGISTRY
from d2go.data.dataset_mappers.d2go_dataset_mapper import D2GoDatasetMapper
from d2go.runner import GeneralizedRCNNRunner
from detr.backbone.deit import add_deit_backbone_config
from detr.... | d2go-main | projects_oss/detr/detr/runner.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from . import datasets, models, util
__all__ = ["models", "util", "datasets"]
| d2go-main | projects_oss/detr/detr/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
from detr.models.backbone import Backbone, Joiner
from detr.models.detr import DETR, PostProcess
from detr.models.position_encoding import Pos... | d2go-main | projects_oss/detr/detr/hub.py |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Train and eval functions used in main.py
"""
import math
import os
import sys
from typing import Iterable
import detr.util.misc as utils
import torch
from detr.datasets.coco_eval import CocoEvaluator
from detr.datasets.panoptic_eval import Pano... | d2go-main | projects_oss/detr/detr/engine.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Misc functions, including distributed helpers.
Mostly copy-paste from torchvision references.
"""
import datetime
import os
import pickle
import subpr... | d2go-main | projects_oss/detr/detr/util/misc.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Utilities for bounding box manipulation and GIoU.
"""
import torch
from torchvision.ops.boxes import box_area
def box_cxcywh_to_xyxy(x):
x_c, y_c... | d2go-main | projects_oss/detr/detr/util/box_ops.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
| d2go-main | projects_oss/detr/detr/util/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Plotting utilities to visualize training logs.
"""
from pathlib import Path, PurePath
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
import torch
def plot_logs(
logs,
... | d2go-main | projects_oss/detr/detr/util/plot_utils.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
COCO dataset which returns image_id for evaluation.
Mostly copy-paste from https://github.com/pytorch/vision/blob/13b35ff/references/detection/coco_ut... | d2go-main | projects_oss/detr/detr/datasets/coco.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Transforms and data augmentation for both image + bbox.
"""
import random
import PIL
import torch
import torchvision.transforms as T
import torchvisio... | d2go-main | projects_oss/detr/detr/datasets/transforms.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import json
import os
import detr.util.misc as utils
from detectron2.utils.file_io import PathManager
try:
from panopticapi.evaluation import pq_comp... | d2go-main | projects_oss/detr/detr/datasets/panoptic_eval.py |
import math
import os
import random
import sys
import numpy as np
import skimage.morphology as morp
import torch
import torch.utils.data as data
import torchvision
import torchvision.transforms as transform
from detectron2.utils.file_io import PathManager
from PIL import Image, ImageFilter, ImageOps
from .coco import... | d2go-main | projects_oss/detr/detr/datasets/ade.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch.utils.data
import torchvision
from .ade import build as build_ade
from .coco import build as build_coco
def get_coco_api_from_dataset(datas... | d2go-main | projects_oss/detr/detr/datasets/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
COCO evaluator that works in distributed mode.
Mostly copy-paste from https://github.com/pytorch/vision/blob/edfd5a7/references/detection/coco_eval.py... | d2go-main | projects_oss/detr/detr/datasets/coco_eval.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import json
import os
from pathlib import Path
import numpy as np
import torch
from detectron2.utils.file_io import PathManager
from detr.util.box_ops imp... | d2go-main | projects_oss/detr/detr/datasets/coco_panoptic.py |
from typing import Dict
import numpy as np
import torch
import torch.nn.functional as F
from detectron2.modeling import build_backbone
from detectron2.utils.registry import Registry
from detr.models.backbone import Joiner
from detr.models.position_encoding import PositionEmbeddingSine
from detr.util.misc import Nested... | d2go-main | projects_oss/detr/detr/models/build.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
DETR model and criterion classes.
"""
import torch
import torch.nn.functional as F
from detectron2.config import configurable
from detr.util import box... | d2go-main | projects_oss/detr/detr/models/detr.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Modules to compute the matching cost and solve the corresponding LSAP.
"""
import torch
from detr.util.box_ops import box_cxcywh_to_xyxy, generalized_b... | d2go-main | projects_oss/detr/detr/models/matcher.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# ------------------------------------------------------------------------
# Modified from Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for ... | d2go-main | projects_oss/detr/detr/models/backbone.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Various positional encodings for the transformer.
"""
import math
import torch
from detr.util.misc import NestedTensor
from torch import nn
class Po... | d2go-main | projects_oss/detr/detr/models/position_encoding.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from .detr import build
def build_model(args):
return build(args)
| d2go-main | projects_oss/detr/detr/models/__init__.py |
import copy
import torch
import torch.nn.functional as F
from torch import nn
from ..util import box_ops
from ..util.misc import (
accuracy,
get_world_size,
interpolate,
is_dist_avail_and_initialized,
nested_tensor_from_tensor_list,
)
from .segmentation import dice_loss, sigmoid_focal_loss
def _... | d2go-main | projects_oss/detr/detr/models/setcriterion.py |
# ------------------------------------------------------------------------
# Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# ------------------------------------------------------------------------
# Modified from DETR (ht... | d2go-main | projects_oss/detr/detr/models/deformable_detr.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
DETR Transformer class.
Copy-paste from torch.nn.Transformer with modifications:
* positional encodings are passed in MHattention
* extra LN a... | d2go-main | projects_oss/detr/detr/models/transformer.py |
# ------------------------------------------------------------------------
# Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LICENSE for details]
# ------------------------------------------------------------------------
# Modified from DETR (ht... | d2go-main | projects_oss/detr/detr/models/deformable_transformer.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
This file provides the definition of the convolutional heads used to predict masks, as well as the losses
"""
import io
from collections import default... | d2go-main | projects_oss/detr/detr/models/segmentation.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import numpy as np
import torch
import torch.nn.functional as F
from d2go.registry.builtin import META_ARCH_REGISTRY
from detectron2.modeling import detector_postprocess
from detectron2.structures import BitMasks, Boxes, Image... | d2go-main | projects_oss/detr/detr/d2/detr.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# -*- coding: utf-8 -*-
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from d2go.config import CfgNode as CN
def add_detr_config(cfg):
"""
Add config for DETR.
"""
cfg.MODEL.DETR = CN(... | d2go-main | projects_oss/detr/detr/d2/config.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from .config import add_detr_config
from .dataset_mapper import DetrDatasetMapper
from .detr import Detr
__all__ = ["add_detr_config", "Detr", "DetrDatase... | d2go-main | projects_oss/detr/detr/d2/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import logging
import numpy as np
import torch
from detectron2.data import detection_utils as utils, transforms as T
__all__ = ["DetrDatasetM... | d2go-main | projects_oss/detr/detr/d2/dataset_mapper.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# ------------------------------------------------------------------------------------------------
# Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LI... | d2go-main | projects_oss/detr/detr/functions/ms_deform_attn_func.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# ------------------------------------------------------------------------------------------------
# Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LI... | d2go-main | projects_oss/detr/detr/functions/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# ------------------------------------------------------------------------------------------------
# Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LI... | d2go-main | projects_oss/detr/detr/modules/ms_deform_attn.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# ------------------------------------------------------------------------------------------------
# Deformable DETR
# Copyright (c) 2020 SenseTime. All Rights Reserved.
# Licensed under the Apache License, Version 2.0 [see LI... | d2go-main | projects_oss/detr/detr/modules/__init__.py |
# code adapt from https://www.internalfb.com/intern/diffusion/FBS/browse/master/fbcode/mobile-vision/experimental/deit/models.py
# Copyright (c) 2015-present, Facebook, Inc.
# All rights reserved.
import json
import math
from functools import partial
import torch
import torch.nn as nn
import torch.nn.functional as F
f... | d2go-main | projects_oss/detr/detr/backbone/deit.py |
# https://www.internalfb.com/intern/diffusion/FBS/browse/master/fbcode/mobile-vision/experimental/deit/pit_models.py
# PiT
# Copyright 2021-present NAVER Corp.
# Apache License v2.0
import json
import math
from functools import partial
import torch
import torch.nn.functional as F
from aml.multimodal_video.utils.einop... | d2go-main | projects_oss/detr/detr/backbone/pit.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import os
from typing import Any, Dict, List, Type, Union
import mobile_cv.torch.utils_pytorch.comm as comm
import pytorch_lightning as pl # type: ignore
from d2go.config import CfgNode
from d2go.runner.call... | d2go-main | tools/lightning_train_net.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Binary to convert pytorch detectron2go model to a predictor, which contains model(s) in
deployable format (such as torchscript, caffe2, ...)
"""
import copy
import logging
import sys
from dataclasses import dataclass
fro... | d2go-main | tools/exporter.py |
d2go-main | tools/__init__.py | |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Tool for benchmarking data loading
"""
import logging
import time
from dataclasses import dataclass
from typing import Type, Union
import detectron2.utils.comm as comm
import numpy as np
from d2go.config import CfgNode
f... | d2go-main | tools/benchmark_data.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Detection Training Script.
"""
import logging
import sys
from typing import Callable, Dict, List, Type, Union
import detectron2.utils.comm as comm
from d2go.config import CfgNode
from d2go.distributed import distributed... | d2go-main | tools/train_net.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Binary to evaluate predictor-based model (consist of models in deployable format such
torchscript, caffe2, etc.) using Detectron2Go system (dataloading, evaluation, etc).
"""
import logging
import sys
from typing import ... | d2go-main | tools/evaluator.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from d2go.setup import setup_loggers
setup_loggers(output_dir=None)
| d2go-main | tests/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
from mobile_cv.common.misc.test_utils import SubPackageInitFileTestMixin
class TestSubPackageInitFile(SubPackageInitFileTestMixin, unittest.TestCase):
def get_pacakge_name(self) -> str:
return "... | d2go-main | tests/misc/test_sub_package_init_file.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import unittest
from pathlib import Path
from d2go.utils.validation_monitor import fetch_checkpoints_till_final
from detectron2.utils.file_io import PathManager
from mobile_cv.common.misc.file_utils import make_temp_directo... | d2go-main | tests/misc/test_validation_monitor.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import os
import unittest
import numpy as np
from d2go.config import CfgNode
from d2go.config.utils import flatten_config_dict
from d2go.runner.lightning_task import GeneralizedRCNNTask
from d2go.tools.lightning_train_net im... | d2go-main | tests/misc/test_lightning_train_net.py |
d2go-main | tests/misc/__init__.py | |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import glob
import tempfile
import unittest
import d2go.utils.abnormal_checker as ac
import torch
class Model(torch.nn.Module):
def forward(self, x):
return {"loss": x}
class TestUtilsAbnormalChecker(unittes... | d2go-main | tests/misc/test_utils_abnormal_checker.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import glob
import logging
import os
import unittest
from d2go.config import (
auto_scale_world_size,
CfgNode,
load_full_config_from_file,
reroute_config_path,
temp_new_allowed,
)
from d2go.config.utils ... | d2go-main | tests/misc/test_config.py |
import os
import tempfile
from d2go.utils.flop_calculator import dump_flops_info
from d2go.utils.testing.data_loader_helper import (
create_detection_data_loader_on_toy_dataset,
)
from d2go.utils.testing.rcnn_helper import RCNNBaseTestCases
class TestFlopCount(RCNNBaseTestCases.TemplateTestCase):
def setup_c... | d2go-main | tests/misc/test_flop_count.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import importlib
import logging
import pkgutil
import unittest
# NOTE: don't import anything related to D2/D2Go so that the test of one registry is
# isolated from others
logger = logging.getLogger(__name__)
# copied fro... | d2go-main | tests/misc/test_registration.py |
#!/usr/bin/env python3
# pyre-unsafe
import os
import unittest
from unittest import mock
import torch
from d2go.runner.callbacks.quantization import (
get_default_qat_qconfig,
ModelTransform,
PostTrainingQuantization,
QuantizationAwareTraining,
rgetattr,
rhasattr,
rsetattr,
)
from d2go.uti... | d2go-main | tests/runner/test_runner_lightning_quantization.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import os
import unittest
from copy import deepcopy
from tempfile import TemporaryDirectory
from typing import Dict
import pytorch_lightning as pl # type: ignore
import torch
from d2go.config import CfgNode, temp_defrost
f... | d2go-main | tests/runner/test_runner_lightning_task.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import os
import tempfile
import unittest
import d2go.runner.default_runner as default_runner
import torch
from d2go.registry.builtin import META_ARCH_REGISTRY
from d2go.runner import create_runner
from d2go.run... | d2go-main | tests/runner/test_runner_default_runner.py |
d2go-main | tests/runner/__init__.py | |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import os
import unittest
import d2go.runner.default_runner as default_runner
import torch
from d2go.registry.builtin import META_ARCH_REGISTRY
from d2go.utils.testing.data_loader_helper import create_local_dataset
from d2go... | d2go-main | tests/utils/test_gpu_memory_profiler.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import json
import os
import unittest
from typing import Dict, List, Optional, Tuple
import d2go.runner.default_runner as default_runner
import numpy as np
import torch
from d2go.registry.builtin import META_ARC... | d2go-main | tests/utils/test_visualization.py |
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