python_code stringlengths 0 4.04M | repo_name stringlengths 8 58 | file_path stringlengths 5 147 |
|---|---|---|
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import torch.nn as nn
from d2go.config import CfgNode as CN
from d2go.export.api import PredictorExportConfig
from d2go.modeling.meta_arch.rcnn import D2RCNNInferenceWrapper
from d2go.quantization.qconfig impo... | d2go-main | d2go/modeling/meta_arch/fcos.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from d2go.registry.builtin import META_ARCH_REGISTRY
from detectron2.modeling import RetinaNet as _RetinaNet
# Re-register D2's meta-arch in D2Go with updated APIs
@META_ARCH_REGISTRY.register()
class RetinaNet(_RetinaNet)... | d2go-main | d2go/modeling/meta_arch/retinanet.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Any, Dict, List
import torch
import torch.nn as nn
from d2go.export.api import PredictorExportConfig
from d2go.registry.builtin import META_ARCH_REGISTRY
from detectron2.modeling import SemanticSegmentor a... | d2go-main | d2go/modeling/meta_arch/semantic_seg.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
from d2go.modeling.modeldef.fbnet_modeldef_registry import FBNetV2ModelArch
from d2go.registry.bootstrap import lazy_on_bootstrap
from mobile_cv.arch.fbnet_v2.modeldef_utils import _ex, e1, e1p, e2, e3, e4, e6
... | d2go-main | d2go/modeling/modeldef/modeldef.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
This is the centralized place to define modeldef for all projects under D2Go.
"""
# Populating registreis
from d2go.modeling.modeldef import modeldef as _modeldef # noqa
# @fb-only: from d2go.modeling.modeldef import f... | d2go-main | d2go/modeling/modeldef/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
class FBNetV2ModelArch(object):
_MODEL_ARCH = {}
@staticmethod
def add(name, arch):
assert (
name not in FBNetV2ModelArch._MODEL_ARCH
), "Arch name '{}' is already exist... | d2go-main | d2go/modeling/modeldef/fbnet_modeldef_registry.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Populating registreis
from d2go.modeling.backbone import fbnet_v2 as _fbnet_v2 # noqa
# @fb-only: from d2go.modeling.backbone import fb as _fb # isort:skip # noqa
| d2go-main | d2go/modeling/backbone/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import itertools
import logging
from typing import List
import torch
import torch.nn as nn
from d2go.modeling.backbone.modules import (
KeypointRCNNConvUpsamplePredictorNoUpscale,
KeypointRCNNIRFPredicto... | d2go-main | d2go/modeling/backbone/fbnet_v2.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import List
import torch
import torch.nn as nn
from detectron2 import layers
from detectron2.utils.tracing import is_fx_tracing
from mobile_cv.arch.fbnet_v2.irf_block import IRFBlock
class RPNHeadConvRegressor(... | d2go-main | d2go/modeling/backbone/modules.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from d2go.config import CfgNode as CN
def add_fbnet_default_configs(_C):
"""FBNet options and default values"""
_C.MODEL.FBNET = CN()
_C.MODEL.FBNET.ARCH = "default"
# custom arch
_C.MODEL.FBNET.ARCH_DE... | d2go-main | d2go/modeling/backbone/fbnet_cfg.py |
from typing import Tuple
import torch
from d2go.quantization.learnable_qat import convert_to_learnable_qconfig
from mobile_cv.common.misc.registry import Registry
TORCH_VERSION: Tuple[int, ...] = tuple(int(x) for x in torch.__version__.split(".")[:2])
if TORCH_VERSION > (1, 10):
from torch.ao.quantization.quantiz... | d2go-main | d2go/quantization/qconfig.py |
d2go-main | d2go/quantization/__init__.py | |
#!/usr/bin/env python3
import logging
from functools import partial
import torch
import torch.distributed as dist
from d2go.utils.parse_module_params import iterate_module_named_parameters
from torch.ao.quantization._learnable_fake_quantize import _LearnableFakeQuantize
logger = logging.getLogger(__name__)
def mixi... | d2go-main | d2go/quantization/learnable_qat.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Tuple
import torch
from mobile_cv.common.misc.oss_utils import fb_overwritable
TORCH_VERSION: Tuple[int, ...] = tuple(int(x) for x in torch.__version__.split(".")[:2])
if TORCH_VERSION > (1, 10):
fr... | d2go-main | d2go/quantization/fx.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import logging
import math
from typing import Any, Dict, Tuple
import detectron2.utils.comm as comm
import torch
from d2go.quantization import learnable_qat
from d2go.quantization.fx import get_convert_fn, get_p... | d2go-main | d2go/quantization/modeling.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import ast
import builtins
import contextlib
import glob
import hashlib
import logging
import os
import tempfile
import time
import traceback
from collections import defaultdict
from dataclasses import asdict, dataclass
from ... | d2go-main | d2go/registry/bootstrap.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
| d2go-main | d2go/registry/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from mobile_cv.common.misc.registry import Registry
"""
This file contains all D2Go's builtin registries with global scope.
- These registries can be treated as "static". There'll be a bootstrap process happens
at the b... | d2go-main | d2go/registry/builtin.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from d2go.evaluation.prediction_count_evaluation import PredictionCountEvaluator
__all__ = [
"PredictionCountEvaluator",
]
# Populating registreis
# @fb-only: from d2go.evaluation import fb as _fb # noqa
| d2go-main | d2go/evaluation/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Dict, TypeVar, Union
T = TypeVar("T")
# "accuracy" in D2Go is defined by a 4-level dictionary in the order of:
# model_tag -> dataset -> task -> metrics
AccuracyDict = Dict[str, Dict[str, Dict[str, Dict[s... | d2go-main | d2go/evaluation/api.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import heapq
import itertools
import logging
from contextlib import contextmanager
from detectron2.data import MetadataCatalog
from detectron2.evaluation import DatasetEvaluator, SemSegEvaluator
from detectron2.utils.comm i... | d2go-main | d2go/evaluation/sem_seg_evaluation.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import itertools
import logging
from collections import OrderedDict
import detectron2.utils.comm as comm
import numpy as np
from detectron2.evaluation import DatasetEvaluator
logger = logging.getLogger(__name__)
class Pre... | d2go-main | d2go/evaluation/prediction_count_evaluation.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import logging
import os
from collections import abc
from typing import Any, Iterable, List, Union
import torch
from detectron2.evaluation import (
DatasetEvaluator,
DatasetEvaluators,
inference_on_dataset as inference_on_dataset_d2,
)
from detectron2.uti... | d2go-main | d2go/evaluation/evaluator.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
API for exporting a pytorch model to a predictor, the predictor contains model(s) in
deployable format and predefined functions as glue code. The exported predictor should
generate same output as the original pytorch mod... | d2go-main | d2go/export/exporter.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Populating registreis
from d2go.export import torchscript as _torchscript # noqa
| d2go-main | d2go/export/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import json
import sys
from abc import ABC, abstractmethod
from typing import Callable, Dict, NamedTuple, Optional, Union
import torch.nn as nn
from mobile_cv.common.misc.file_utils import make_temp_directory
from mobile_cv.c... | d2go-main | d2go/export/api.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import contextlib
import logging
import os
from typing import Any, AnyStr, Dict, List, NamedTuple, Optional, Set, Tuple
import torch
from d2go.export.api import ModelExportMethod, ModelExportMethodRegistry
from detectron2.c... | d2go-main | d2go/export/torchscript.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import itertools
import logging
import operator
from collections import defaultdict, OrderedDict
from typing import Dict
import torch
from d2go.config import CfgNode
from d2go.data.dataset_mappers.build import build_dataset... | d2go-main | d2go/data/build.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from d2go.config import CfgNode as CN
def add_d2go_data_default_configs(_C):
_C.D2GO_DATA = CN()
# Config for "detectron2go.data.extended_coco.extended_coco_load"
_C.D2GO_DATA.DATASETS = CN()
# List of cla... | d2go-main | d2go/data/config.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import atexit
import logging
import pickle
import shutil
import uuid
import numpy as np
from detectron2.utils import comm
from detectron2.utils.logger import log_every_n_seconds
logger = logging.getLogger(__name__)
# NOTE:... | d2go-main | d2go/data/disk_cache.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import json
import logging
import os
import shlex
import subprocess
from collections import defaultdict
from typing import Callable, Dict, List, Optional
import detectron2.utils.comm as comm
from d2go.data.cache_... | d2go-main | d2go/data/extended_coco.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import os
from mobile_cv.common.misc.oss_utils import fb_overwritable
@fb_overwritable()
def _cache_json_file(json_file):
# TODO: entirely rely on PathManager for caching
json_file = os.fspath(json_file)
return... | d2go-main | d2go/data/cache_util.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
import os
from d2go.data.extended_coco import _cache_json_file
from detectron2.data import MetadataCatalog
from detectron2.structures import BoxMode
from fvcore.common.timer import Timer
"""
This file contai... | d2go-main | d2go/data/extended_lvis.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import functools
import importlib
import logging
import os
from collections import namedtuple
from d2go.data.extended_coco import coco_text_load, extended_coco_load
from d2go.data.extended_lvis import extended_lvis_load
fro... | d2go-main | d2go/data/datasets.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
| d2go-main | d2go/data/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import atexit
import contextlib
import json
import logging
import os
import re
import shutil
import tempfile
from collections import defaultdict
from unittest import mock
import numpy as np
import torch.utils.data as data
f... | d2go-main | d2go/data/utils.py |
#!/usr/bin/env python3
from typing import List, NamedTuple, Tuple
from detectron2.utils.registry import Registry
KEYPOINT_METADATA_REGISTRY = Registry("KEYPOINT_METADATA")
KEYPOINT_METADATA_REGISTRY.__doc__ = "Registry keypoint metadata definitions"
class KeypointMetadata(NamedTuple):
names: List[str]
fli... | d2go-main | d2go/data/keypoint_metadata_registry.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from detectron2.utils.registry import Registry
D2GO_DATA_MAPPER_REGISTRY = Registry("D2GO_DATA_MAPPER")
def build_dataset_mapper(cfg, is_train, *args, **kwargs):
name = cfg.D2GO_DATA.MAPPER.NAME
return D2GO_DATA_M... | d2go-main | d2go/data/dataset_mappers/build.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import logging
import numpy as np
import torch
from d2go.data.dataset_mappers.build import D2GO_DATA_MAPPER_REGISTRY
from d2go.data.dataset_mappers.data_reading import (
read_image_with_prefetch,
read_se... | d2go-main | d2go/data/dataset_mappers/d2go_dataset_mapper.py |
from io import BytesIO
import numpy as np
from detectron2.data import detection_utils as utils
from detectron2.utils.file_io import PathManager
from PIL import Image
def read_image_with_prefetch(file_name, format=None, prefetched=None):
if prefetched is None:
return utils.read_image(file_name, format)
... | d2go-main | d2go/data/dataset_mappers/data_reading.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from d2go.data.dataset_mappers.build import (
build_dataset_mapper,
D2GO_DATA_MAPPER_REGISTRY,
)
from d2go.data.dataset_mappers.d2go_dataset_mapper import D2GoDatasetMapper
from d2go.data.dataset_mappers.rotated_datas... | d2go-main | d2go/data/dataset_mappers/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import logging
import numpy as np
import torch
from d2go.data.dataset_mappers.build import D2GO_DATA_MAPPER_REGISTRY
from d2go.data.dataset_mappers.d2go_dataset_mapper import D2GoDatasetMapper
from detectron2.da... | d2go-main | d2go/data/dataset_mappers/rotated_dataset_mapper.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import json
import logging
from typing import Dict, List, Optional, Tuple
from detectron2.config import CfgNode
from detectron2.data import transforms as d2T
from detectron2.utils.registry import Registry
logger = logging... | d2go-main | d2go/data/transforms/build.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Callable, List, Union
import detectron2.data.transforms.augmentation as aug
import numpy as np
from d2go.data.transforms.build import _json_load, TRANSFORM_OP_REGISTRY
from detectron2.config import CfgNod... | d2go-main | d2go/data/transforms/color_yuv.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import List, Optional, Union
import detectron2.data.transforms.augmentation as aug
import numpy as np
import torchvision.transforms as tvtf
from d2go.data.transforms.build import _json_load, TRANSFORM_OP_REGIST... | d2go-main | d2go/data/transforms/auto_aug.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import copy
import json
import random
from typing import List, Optional, Tuple
import cv2
import numpy as np
import torchvision.transforms as T
from d2go.data.transforms.build import TRANSFORM_OP_REGISTRY
from detectron2.con... | d2go-main | d2go/data/transforms/affine.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
# Populating registreis
from d2go.data.transforms import ( # noqa
affine as _affine,
auto_aug,
blur as _blur,
box_utils as _box_utils,
color_yuv as _color_yuv,
crop as _crop,
d2_native as _d2_nat... | d2go-main | d2go/data/transforms/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import functools
from typing import Any, List, Tuple, Union
import detectron2.data.transforms.augmentation as aug
import numpy as np
import torch
from d2go.data.transforms.build import _json_load, TRANSFORM_OP_REGISTRY
from ... | d2go-main | d2go/data/transforms/box_utils.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Any, List, Optional, Union
import numpy as np
import torch
from detectron2.data.transforms.augmentation import Augmentation, AugmentationList
from detectron2.structures import Boxes
from fvcore.transforms... | d2go-main | d2go/data/transforms/tensor.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import math
from typing import Any, List, Optional, Tuple, Union
import d2go.data.transforms.box_utils as bu
import detectron2.data.transforms.augmentation as aug
import numpy as np
from d2go.data.transforms.build import _j... | d2go-main | d2go/data/transforms/crop.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import random
from typing import Dict, List, Tuple
import cv2
import detectron2.data.transforms.augmentation as aug
import numpy as np
from d2go.data.transforms.build import _json_load, TRANSFORM_OP_REGISTRY
from detectron2... | d2go-main | d2go/data/transforms/blur.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import logging
from typing import List, Optional, Union
import detectron2.data.transforms.augmentation as aug
from d2go.data.transforms.build import _json_load, TRANSFORM_OP_REGISTRY
from detectron2.config import CfgNode
fr... | d2go-main | d2go/data/transforms/d2_native.py |
#!/usr/bin/env python3
# (c) Meta Platforms, Inc. and affiliates. Confidential and proprietary.
import logging
from functools import partial
import torch.nn as nn
from d2go.config import CfgNode as CN
from d2go.modeling import modeling_hook as mh
from d2go.registry.builtin import MODELING_HOOK_REGISTRY
from d2go.train... | d2go-main | d2go/trainer/activation_checkpointing.py |
#!/usr/bin/env python3
# (c) Meta Platforms, Inc. and affiliates. Confidential and proprietary.
import contextlib
import logging
from enum import Enum
from typing import Generator, Optional
import torch
import torch.nn as nn
from d2go.config import CfgNode as CN
from d2go.modeling.modeling_hook import ModelingHook
fro... | d2go-main | d2go/trainer/fsdp.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
| d2go-main | d2go/trainer/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Trainer APIs on which D2Go's binary can build on top.
"""
from dataclasses import dataclass
from typing import Dict, Optional
from d2go.evaluation.api import AccuracyDict, MetricsDict
@dataclass
class TrainNetOutput:... | d2go-main | d2go/trainer/api.py |
from functools import partial
from typing import Any, Callable, Iterable, List, Optional, Union
import torch
from detectron2.utils.registry import Registry
from torch.distributed.fsdp.wrap import (
always_wrap_policy as _always_wrap_policy,
size_based_auto_wrap_policy as _size_based_auto_wrap_policy,
tran... | d2go-main | d2go/trainer/helper.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
| d2go-main | d2go/trainer/lightning/__init__.py |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import os
from typing import Dict
import pytorch_lightning as pl
from d2go.config import CfgNode, temp_defrost
from d2go.runner.lightning_task import GeneralizedRCNNTask
from d2go.utils.misc import dump_trained_model_configs... | d2go-main | d2go/trainer/lightning/training_loop.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import networkx as nx
import numpy as np
import os
import tempfile
import torch
import torch.nn as nn
from networkx.algorithms.bipartite.matrix import from_biadjacency_matrix
from scipy.sparse import csr_matrix
from sklearn.metrics.pairwise import cosine_similarity
fr... | bitext-lexind-main | align/models.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from train import *
from data import AlignDataset
import collections
import copy
import numpy as np
from models import Aligner
def eval_align(gold, silver, adjust=0):
assert len(gold) == len(silver)
a_size = s_size = p_size = ap_inter = as_inter = 0
for ... | bitext-lexind-main | align/test.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import regex
from data import AlignDataset
from evaluate import evaluate
from models import Aligner
import collections
resdict = collections.defaultdict(None)
aligner = Aligner(
'criss-align', distortion=0,
path='criss/criss-3rd.pt',
args_path='criss/ar... | bitext-lexind-main | align/eval_simalign_criss.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import collections
import copy
import dotdict
import json
import numpy as np
import os
import random
import regex
import tempfile
import torch
import torch.nn as nn
from glob import glob
from chinese_converter import to_traditional, to_simplified
from ... | bitext-lexind-main | align/train.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import regex
def evaluate(gold, silver, offset=0):
assert len(gold) == len(silver)
a_size = s_size = p_size = ap_inter = as_inter = 0
for i, g in enumerate(gold):
s = set([
tuple(map(lambda x: int(x), item.split('-')))
for... | bitext-lexind-main | align/evaluate.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from torch.utils.data import DataLoader, Dataset
import regex
import json
import numpy as np
import os
class BitextAlignmentDataset(Dataset):
def __init__(self, bitext_path, alignment_path):
super(BitextAlignmentDataset, self).__init__()
self.bit... | bitext-lexind-main | align/data.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import collections
import copy
import dotdict
import json
import numpy as np
import os
import random
import regex
import tempfile
import torch
import torch.nn as nn
from chinese_converter import to_traditional, to_simplified
from tqdm import tqdm
from... | bitext-lexind-main | src/weakly_sup.py |
# Copyright (c) Facebook, Inc. and its affiliates.
from transformers import AutoTokenizer
import numpy as np
import torch
import torch.nn as nn
class CRISSWrapper(object):
def __init__(self, path='criss/criss-3rd.pt',
args_path='criss/args.pt',
tokenizer='facebook/mbart-large-cc... | bitext-lexind-main | src/models.py |
# Copyright (c) Facebook, Inc. and its affiliates.
import argparse
import collections
import copy
import dotdict
import json
import numpy as np
import os
import random
import regex
import tempfile
import torch
import torch.nn as nn
from chinese_converter import to_traditional, to_simplified
from tqdm import tqdm
from... | bitext-lexind-main | src/fully_unsup.py |
# Copyright (c) Facebook, Inc. and its affiliates.
def evaluate(pr_pairs, gt_pairs):
gt_set = set([tuple(x) for x in gt_pairs])
pr_set = set([tuple(x) for x in pr_pairs])
prec = sum([1 if x in gt_set else 0 for x in pr_set]) \
/ float(len(pr_set)) if len(pr_set) > 0 else 0
rec = sum([1 if x in... | bitext-lexind-main | src/evaluate.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
import os
from pathlib import Path
SRC_ROOT = Path(os.path.dirname(os.path.realpath(__file__)))
PRO_ROOT = SRC_ROOT.pare... | anli-main | src/config.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
import argparse
from pathlib import Path
from torch.optim import Adam
from transformers import RobertaTokenizer, RobertaF... | anli-main | src/nli/training_extra.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
import torch
import logging
from captum.attr import LayerIntegratedGradients
logger = logging.getLogger(__name__)
def ... | anli-main | src/nli/inspection_tools.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
import argparse
from pathlib import Path
import config
from flint.data_utils.fields import RawFlintField, LabelFlintField... | anli-main | src/nli/evaluation.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree. | anli-main | src/nli/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
import argparse
from pathlib import Path
import uuid
import numpy as np
import config
from flint.data_utils.batchbuilder ... | anli-main | src/nli/inference_debug.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
import argparse
from pathlib import Path
from transformers import RobertaTokenizer, RobertaForSequenceClassification
from... | anli-main | src/nli/training.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
import os
from pathlib import Path
import config
from datetime import datetime
from utils import common
class ScoreLog... | anli-main | src/utils/save_tool.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree. | anli-main | src/utils/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
import uuid
def list_to_dict(d_list, key_fields): # '_id' or 'pid'
d_dict = dict()
for item in d_list:
... | anli-main | src/utils/list_dict_data_tool.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
import json
from json import JSONEncoder
from tqdm import tqdm
import config
registered_jsonabl_classes = {}
# Some Jso... | anli-main | src/utils/common.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree. | anli-main | src/modeling/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
""" PyTorch Dummy XLNet model.
"""
import logging
import torch
from torch import nn
from torch.nn import CrossEntropyLos... | anli-main | src/modeling/dummy_modeling_xlnet.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
from torch import optim
from torch.autograd import Variable
from torch.nn import MSELoss... | anli-main | src/modeling/res_encoder.py |
anli-main | src/hg_api/__init__.py | |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
def evaluate(tokenizer, model, pr... | anli-main | src/hg_api/interactive.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch
import json
def get_prediction(t... | anli-main | src/hg_api/interactive_eval.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree. | anli-main | src/dataset_tools/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
from pathlib import Path
import config
from dataset_tools.format_convert import sm_nli2std_format, fever_nli2std_format, ... | anli-main | src/dataset_tools/build_data.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
from utils import common
from typing import List, Dict
from tqdm import tqdm
from collections import defaultdict
import co... | anli-main | src/dataset_tools/format_convert.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import numpy as np
i... | anli-main | src/flint/torch_util.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree. | anli-main | src/flint/__init__.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
import torch
class FlintField(object):
@classmethod
def batching(cls, batched_data):
raise NotImplemente... | anli-main | src/flint/data_utils/fields.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree.
import torch
from typing import Dict, Type
from flint.data_utils.fields import FlintField, RawFlintField
class BaseBatc... | anli-main | src/flint/data_utils/batchbuilder.py |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under Creative Commons-Non Commercial 4.0 found in the
# LICENSE file in the root directory of this source tree. | anli-main | src/flint/data_utils/__init__.py |
# 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 argparse
import dreamerv2.api as dv2
from dreamerv2.train import run
def str2bool(v):
if isinstance(v, bool):
... | cascade-main | main.py |
# 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 tensorflow as tf
from tensorflow_probability import distributions as tfd
import agent
import common
class Random... | cascade-main | dreamerv2/expl.py |
import logging
import os
import pathlib
import sys
import warnings
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
logging.getLogger().setLevel('ERROR')
warnings.filterwarnings('ignore', '.*box bound precision lowered.*')
sys.path.append(str(pathlib.Path(__file__).parent))
sys.path.append(str(pathlib.Path(__file__).parent.p... | cascade-main | dreamerv2/api.py |
# 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 tensorflow as tf
import tensorflow_probability as tfp
from tensorflow.keras import mixed_precision as prec
from dr... | cascade-main | dreamerv2/agent.py |
# 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 logging
import os
import pathlib
import re
import sys
import warnings
import pickle
try:
import rich.traceback
... | cascade-main | dreamerv2/train.py |
# 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 atexit
import os
import sys
import threading
import traceback
import cloudpickle
import gym
import numpy as np
fr... | cascade-main | dreamerv2/common/envs.py |
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