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### File: torchvision/datasets/moving_mnist.py
import os.path
from typing import Callable, Optional
import numpy as np
import torch
from torchvision.datasets.utils import download_url, verify_str_arg
from torchvision.datasets.vision import VisionDataset
class MovingMNIST(VisionDataset):
"""`MovingMNIST <http://w... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/moving_mnist.py", "license": "bsd-3-clause", "size": 3585} |
### File: torchvision/datasets/omniglot.py
from os.path import join
from typing import Any, Callable, List, Optional, Tuple
from PIL import Image
from .utils import check_integrity, download_and_extract_archive, list_dir, list_files
from .vision import VisionDataset
class Omniglot(VisionDataset):
"""`Omniglot <... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/omniglot.py", "license": "bsd-3-clause", "size": 4091} |
### File: torchvision/datasets/oxford_iiit_pet.py
import os
import os.path
import pathlib
from typing import Any, Callable, Optional, Sequence, Tuple, Union
from PIL import Image
from .utils import download_and_extract_archive, verify_str_arg
from .vision import VisionDataset
class OxfordIIITPet(VisionDataset):
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/oxford_iiit_pet.py", "license": "bsd-3-clause", "size": 5053} |
### File: torchvision/datasets/pcam.py
import pathlib
from typing import Any, Callable, Optional, Tuple
from PIL import Image
from .utils import _decompress, download_file_from_google_drive, verify_str_arg
from .vision import VisionDataset
class PCAM(VisionDataset):
"""`PCAM Dataset <https://github.com/basvee... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/pcam.py", "license": "bsd-3-clause", "size": 5115} |
### File: torchvision/datasets/phototour.py
import os
from typing import Any, Callable, List, Optional, Tuple, Union
import numpy as np
import torch
from PIL import Image
from .utils import download_url
from .vision import VisionDataset
class PhotoTour(VisionDataset):
"""`Multi-view Stereo Correspondence <http:... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/phototour.py", "license": "bsd-3-clause", "size": 7924} |
### File: torchvision/datasets/places365.py
import os
from os import path
from typing import Any, Callable, Dict, List, Optional, Tuple
from urllib.parse import urljoin
from .folder import default_loader
from .utils import check_integrity, download_and_extract_archive, verify_str_arg
from .vision import VisionDataset
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/places365.py", "license": "bsd-3-clause", "size": 7199} |
### File: torchvision/datasets/rendered_sst2.py
from pathlib import Path
from typing import Any, Callable, Optional, Tuple
import PIL.Image
from .folder import make_dataset
from .utils import download_and_extract_archive, verify_str_arg
from .vision import VisionDataset
class RenderedSST2(VisionDataset):
"""`Th... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/rendered_sst2.py", "license": "bsd-3-clause", "size": 3562} |
### File: torchvision/datasets/samplers/__init__.py
from .clip_sampler import DistributedSampler, RandomClipSampler, UniformClipSampler
__all__ = ("DistributedSampler", "UniformClipSampler", "RandomClipSampler")
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/samplers/__init__.py", "license": "bsd-3-clause", "size": 161} |
### File: torchvision/datasets/samplers/clip_sampler.py
import math
from typing import cast, Iterator, List, Optional, Sized, Union
import torch
import torch.distributed as dist
from torch.utils.data import Sampler
from torchvision.datasets.video_utils import VideoClips
class DistributedSampler(Sampler):
"""
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/samplers/clip_sampler.py", "license": "bsd-3-clause", "size": 6244} |
### File: torchvision/datasets/sbd.py
import os
import shutil
from typing import Any, Callable, Optional, Tuple
import numpy as np
from PIL import Image
from .utils import download_and_extract_archive, download_url, verify_str_arg
from .vision import VisionDataset
class SBDataset(VisionDataset):
"""`Semantic Bo... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/sbd.py", "license": "bsd-3-clause", "size": 5202} |
### File: torchvision/datasets/sbu.py
import os
from typing import Any, Callable, Optional, Tuple
from PIL import Image
from .utils import check_integrity, download_and_extract_archive, download_url
from .vision import VisionDataset
class SBU(VisionDataset):
"""`SBU Captioned Photo <http://www.cs.virginia.edu/~... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/sbu.py", "license": "bsd-3-clause", "size": 4081} |
### File: torchvision/datasets/semeion.py
import os.path
from typing import Any, Callable, Optional, Tuple
import numpy as np
from PIL import Image
from .utils import check_integrity, download_url
from .vision import VisionDataset
class SEMEION(VisionDataset):
r"""`SEMEION <http://archive.ics.uci.edu/ml/dataset... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/semeion.py", "license": "bsd-3-clause", "size": 3088} |
### File: torchvision/datasets/stanford_cars.py
import pathlib
from typing import Any, Callable, Optional, Tuple
from PIL import Image
from .utils import download_and_extract_archive, download_url, verify_str_arg
from .vision import VisionDataset
class StanfordCars(VisionDataset):
"""`Stanford Cars <https://ai.... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/stanford_cars.py", "license": "bsd-3-clause", "size": 4843} |
### File: torchvision/datasets/stl10.py
import os.path
from typing import Any, Callable, cast, Optional, Tuple
import numpy as np
from PIL import Image
from .utils import check_integrity, download_and_extract_archive, verify_str_arg
from .vision import VisionDataset
class STL10(VisionDataset):
"""`STL10 <https:... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/stl10.py", "license": "bsd-3-clause", "size": 7233} |
### File: torchvision/datasets/sun397.py
from pathlib import Path
from typing import Any, Callable, Optional, Tuple
import PIL.Image
from .utils import download_and_extract_archive
from .vision import VisionDataset
class SUN397(VisionDataset):
"""`The SUN397 Data Set <https://vision.princeton.edu/projects/2010/... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/sun397.py", "license": "bsd-3-clause", "size": 2748} |
### File: torchvision/datasets/svhn.py
import os.path
from typing import Any, Callable, Optional, Tuple
import numpy as np
from PIL import Image
from .utils import check_integrity, download_url, verify_str_arg
from .vision import VisionDataset
class SVHN(VisionDataset):
"""`SVHN <http://ufldl.stanford.edu/house... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/svhn.py", "license": "bsd-3-clause", "size": 4768} |
### File: torchvision/datasets/ucf101.py
import os
from typing import Any, Callable, Dict, List, Optional, Tuple
from torch import Tensor
from .folder import find_classes, make_dataset
from .video_utils import VideoClips
from .vision import VisionDataset
class UCF101(VisionDataset):
"""
`UCF101 <https://www... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/ucf101.py", "license": "bsd-3-clause", "size": 5472} |
### File: torchvision/datasets/usps.py
import os
from typing import Any, Callable, Optional, Tuple
import numpy as np
from PIL import Image
from .utils import download_url
from .vision import VisionDataset
class USPS(VisionDataset):
"""`USPS <https://www.csie.ntu.edu.tw/~cjlin/libsvmtools/datasets/multiclass.ht... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/usps.py", "license": "bsd-3-clause", "size": 3440} |
### File: torchvision/datasets/utils.py
import bz2
import contextlib
import gzip
import hashlib
import itertools
import lzma
import os
import os.path
import pathlib
import re
import sys
import tarfile
import urllib
import urllib.error
import urllib.request
import warnings
import zipfile
from typing import Any, Callable... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/utils.py", "license": "bsd-3-clause", "size": 18340} |
### File: torchvision/datasets/video_utils.py
import bisect
import math
import warnings
from fractions import Fraction
from typing import Any, Callable, cast, Dict, List, Optional, Tuple, TypeVar, Union
import torch
from torchvision.io import _probe_video_from_file, _read_video_from_file, read_video, read_video_timest... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/video_utils.py", "license": "bsd-3-clause", "size": 17064} |
### File: torchvision/datasets/vision.py
import os
from typing import Any, Callable, List, Optional, Tuple
import torch.utils.data as data
from ..utils import _log_api_usage_once
class VisionDataset(data.Dataset):
"""
Base Class For making datasets which are compatible with torchvision.
It is necessary ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/vision.py", "license": "bsd-3-clause", "size": 4135} |
### File: torchvision/datasets/voc.py
import collections
import os
from xml.etree.ElementTree import Element as ET_Element
from .vision import VisionDataset
try:
from defusedxml.ElementTree import parse as ET_parse
except ImportError:
from xml.etree.ElementTree import parse as ET_parse
from typing import Any,... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/voc.py", "license": "bsd-3-clause", "size": 8760} |
### File: torchvision/datasets/widerface.py
import os
from os.path import abspath, expanduser
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
from PIL import Image
from .utils import download_and_extract_archive, download_file_from_google_drive, extract_archive, verify_str_arg
from .... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/datasets/widerface.py", "license": "bsd-3-clause", "size": 8117} |
### File: torchvision/extension.py
import os
import sys
import torch
from ._internally_replaced_utils import _get_extension_path
_HAS_OPS = False
def _has_ops():
return False
try:
# On Windows Python-3.8.x has `os.add_dll_directory` call,
# which is called to configure dll search path.
# To find... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/extension.py", "license": "bsd-3-clause", "size": 3141} |
### File: torchvision/io/__init__.py
from typing import Any, Dict, Iterator
import torch
from ..utils import _log_api_usage_once
try:
from ._load_gpu_decoder import _HAS_GPU_VIDEO_DECODER
except ModuleNotFoundError:
_HAS_GPU_VIDEO_DECODER = False
from ._video_opt import (
_HAS_VIDEO_OPT,
_probe_vide... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/io/__init__.py", "license": "bsd-3-clause", "size": 1478} |
### File: torchvision/io/_load_gpu_decoder.py
from ..extension import _load_library
try:
_load_library("Decoder")
_HAS_GPU_VIDEO_DECODER = True
except (ImportError, OSError):
_HAS_GPU_VIDEO_DECODER = False
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/io/_load_gpu_decoder.py", "license": "bsd-3-clause", "size": 174} |
### File: torchvision/io/_video_opt.py
import math
import warnings
from fractions import Fraction
from typing import Dict, List, Optional, Tuple, Union
import torch
from ..extension import _load_library
try:
_load_library("video_reader")
_HAS_VIDEO_OPT = True
except (ImportError, OSError):
_HAS_VIDEO_OP... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/io/_video_opt.py", "license": "bsd-3-clause", "size": 20390} |
### File: torchvision/io/image.py
from enum import Enum
from warnings import warn
import torch
from ..extension import _load_library
from ..utils import _log_api_usage_once
try:
_load_library("image")
except (ImportError, OSError) as e:
warn(
f"Failed to load image Python extension: '{e}'"
f... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/io/image.py", "license": "bsd-3-clause", "size": 9878} |
### File: torchvision/io/video.py
import gc
import math
import os
import re
import warnings
from fractions import Fraction
from typing import Any, Dict, List, Optional, Tuple, Union
import numpy as np
import torch
from ..utils import _log_api_usage_once
from . import _video_opt
try:
import av
av.logging.set... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/io/video.py", "license": "bsd-3-clause", "size": 15674} |
### File: torchvision/io/video_reader.py
import io
import warnings
from typing import Any, Dict, Iterator, Optional
import torch
from ..utils import _log_api_usage_once
from ._video_opt import _HAS_VIDEO_OPT
if _HAS_VIDEO_OPT:
def _has_video_opt() -> bool:
return True
else:
def _has_video_opt() ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/io/video_reader.py", "license": "bsd-3-clause", "size": 11747} |
### File: torchvision/models/__init__.py
from .alexnet import *
from .convnext import *
from .densenet import *
from .efficientnet import *
from .googlenet import *
from .inception import *
from .mnasnet import *
from .mobilenet import *
from .regnet import *
from .resnet import *
from .shufflenetv2 import *
from .sque... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/__init__.py", "license": "bsd-3-clause", "size": 865} |
### File: torchvision/models/_api.py
import fnmatch
import importlib
import inspect
import sys
from dataclasses import dataclass
from enum import Enum
from functools import partial
from inspect import signature
from types import ModuleType
from typing import Any, Callable, Dict, Iterable, List, Mapping, Optional, Set, ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/_api.py", "license": "bsd-3-clause", "size": 10054} |
### File: torchvision/models/_meta.py
"""
This file is part of the private API. Please do not refer to any variables defined here directly as they will be
removed on future versions without warning.
"""
# This will eventually be replaced with a call at torchvision.datasets.info("imagenet").categories
_IMAGENET_CATEGOR... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/_meta.py", "license": "bsd-3-clause", "size": 28875} |
### File: torchvision/models/_utils.py
import functools
import inspect
import warnings
from collections import OrderedDict
from typing import Any, Callable, Dict, Optional, Tuple, TypeVar, Union
from torch import nn
from .._utils import sequence_to_str
from ._api import WeightsEnum
class IntermediateLayerGetter(nn.... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/_utils.py", "license": "bsd-3-clause", "size": 10893} |
### File: torchvision/models/alexnet.py
from functools import partial
from typing import Any, Optional
import torch
import torch.nn as nn
from ..transforms._presets import ImageClassification
from ..utils import _log_api_usage_once
from ._api import register_model, Weights, WeightsEnum
from ._meta import _IMAGENET_CA... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/alexnet.py", "license": "bsd-3-clause", "size": 4488} |
### File: torchvision/models/convnext.py
from functools import partial
from typing import Any, Callable, List, Optional, Sequence
import torch
from torch import nn, Tensor
from torch.nn import functional as F
from ..ops.misc import Conv2dNormActivation, Permute
from ..ops.stochastic_depth import StochasticDepth
from ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/convnext.py", "license": "bsd-3-clause", "size": 15326} |
### File: torchvision/models/densenet.py
import re
from collections import OrderedDict
from functools import partial
from typing import Any, List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.checkpoint as cp
from torch import Tensor
from ..transforms._presets ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/densenet.py", "license": "bsd-3-clause", "size": 16804} |
### File: torchvision/models/detection/__init__.py
from .faster_rcnn import *
from .fcos import *
from .keypoint_rcnn import *
from .mask_rcnn import *
from .retinanet import *
from .ssd import *
from .ssdlite import *
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/__init__.py", "license": "bsd-3-clause", "size": 168} |
### File: torchvision/models/detection/_utils.py
import math
from collections import OrderedDict
from typing import Dict, List, Optional, Tuple
import torch
from torch import nn, Tensor
from torch.nn import functional as F
from torchvision.ops import complete_box_iou_loss, distance_box_iou_loss, FrozenBatchNorm2d, gen... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/_utils.py", "license": "bsd-3-clause", "size": 22127} |
### File: torchvision/models/detection/anchor_utils.py
import math
from typing import List, Optional
import torch
from torch import nn, Tensor
from .image_list import ImageList
class AnchorGenerator(nn.Module):
"""
Module that generates anchors for a set of feature maps and
image sizes.
The module ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/anchor_utils.py", "license": "bsd-3-clause", "size": 11859} |
### File: torchvision/models/detection/backbone_utils.py
import warnings
from typing import Callable, Dict, List, Optional, Union
from torch import nn, Tensor
from torchvision.ops import misc as misc_nn_ops
from torchvision.ops.feature_pyramid_network import ExtraFPNBlock, FeaturePyramidNetwork, LastLevelMaxPool
from... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/backbone_utils.py", "license": "bsd-3-clause", "size": 10548} |
### File: torchvision/models/detection/faster_rcnn.py
from typing import Any, Callable, List, Optional, Tuple, Union
import torch
import torch.nn.functional as F
from torch import nn
from torchvision.ops import MultiScaleRoIAlign
from ...ops import misc as misc_nn_ops
from ...transforms._presets import ObjectDetectio... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/faster_rcnn.py", "license": "bsd-3-clause", "size": 36767} |
### File: torchvision/models/detection/fcos.py
import math
import warnings
from collections import OrderedDict
from functools import partial
from typing import Any, Callable, Dict, List, Optional, Tuple
import torch
from torch import nn, Tensor
from ...ops import boxes as box_ops, generalized_box_iou_loss, misc as mi... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/fcos.py", "license": "bsd-3-clause", "size": 33990} |
### File: torchvision/models/detection/generalized_rcnn.py
"""
Implements the Generalized R-CNN framework
"""
import warnings
from collections import OrderedDict
from typing import Dict, List, Optional, Tuple, Union
import torch
from torch import nn, Tensor
from ...utils import _log_api_usage_once
class Generalize... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/generalized_rcnn.py", "license": "bsd-3-clause", "size": 4743} |
### File: torchvision/models/detection/image_list.py
from typing import List, Tuple
import torch
from torch import Tensor
class ImageList:
"""
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 a ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/image_list.py", "license": "bsd-3-clause", "size": 783} |
### File: torchvision/models/detection/keypoint_rcnn.py
from typing import Any, Optional
import torch
from torch import nn
from torchvision.ops import MultiScaleRoIAlign
from ...ops import misc as misc_nn_ops
from ...transforms._presets import ObjectDetection
from .._api import register_model, Weights, WeightsEnum
fr... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/keypoint_rcnn.py", "license": "bsd-3-clause", "size": 21760} |
### File: torchvision/models/detection/mask_rcnn.py
from collections import OrderedDict
from typing import Any, Callable, Optional
from torch import nn
from torchvision.ops import MultiScaleRoIAlign
from ...ops import misc as misc_nn_ops
from ...transforms._presets import ObjectDetection
from .._api import register_m... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/mask_rcnn.py", "license": "bsd-3-clause", "size": 26501} |
### File: torchvision/models/detection/retinanet.py
import math
import warnings
from collections import OrderedDict
from functools import partial
from typing import Any, Callable, Dict, List, Optional, Tuple
import torch
from torch import nn, Tensor
from ...ops import boxes as box_ops, misc as misc_nn_ops, sigmoid_fo... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/retinanet.py", "license": "bsd-3-clause", "size": 37055} |
### File: torchvision/models/detection/roi_heads.py
from typing import Dict, List, Optional, Tuple
import torch
import torch.nn.functional as F
import torchvision
from torch import nn, Tensor
from torchvision.ops import boxes as box_ops, roi_align
from . import _utils as det_utils
def fastrcnn_loss(class_logits, bo... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/roi_heads.py", "license": "bsd-3-clause", "size": 33822} |
### File: torchvision/models/detection/rpn.py
from typing import Dict, List, Optional, Tuple
import torch
from torch import nn, Tensor
from torch.nn import functional as F
from torchvision.ops import boxes as box_ops, Conv2dNormActivation
from . import _utils as det_utils
# Import AnchorGenerator to keep compatibili... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/rpn.py", "license": "bsd-3-clause", "size": 15735} |
### File: torchvision/models/detection/ssd.py
import warnings
from collections import OrderedDict
from typing import Any, Dict, List, Optional, Tuple
import torch
import torch.nn.functional as F
from torch import nn, Tensor
from ...ops import boxes as box_ops
from ...transforms._presets import ObjectDetection
from ..... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/ssd.py", "license": "bsd-3-clause", "size": 28979} |
### File: torchvision/models/detection/ssdlite.py
import warnings
from collections import OrderedDict
from functools import partial
from typing import Any, Callable, Dict, List, Optional, Union
import torch
from torch import nn, Tensor
from ...ops.misc import Conv2dNormActivation
from ...transforms._presets import Ob... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/ssdlite.py", "license": "bsd-3-clause", "size": 13215} |
### File: torchvision/models/detection/transform.py
import math
from typing import Any, Dict, List, Optional, Tuple
import torch
import torchvision
from torch import nn, Tensor
from .image_list import ImageList
from .roi_heads import paste_masks_in_image
@torch.jit.unused
def _get_shape_onnx(image: Tensor) -> Tenso... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/detection/transform.py", "license": "bsd-3-clause", "size": 12189} |
### File: torchvision/models/efficientnet.py
import copy
import math
from dataclasses import dataclass
from functools import partial
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple, Union
import torch
from torch import nn, Tensor
from torchvision.ops import StochasticDepth
from ..ops.misc impo... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/efficientnet.py", "license": "bsd-3-clause", "size": 43090} |
### File: torchvision/models/feature_extraction.py
import inspect
import math
import re
import warnings
from collections import OrderedDict
from copy import deepcopy
from itertools import chain
from typing import Any, Callable, Dict, List, Optional, Tuple, Union
import torch
import torchvision
from torch import fx, nn... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/feature_extraction.py", "license": "bsd-3-clause", "size": 25577} |
### File: torchvision/models/googlenet.py
import warnings
from collections import namedtuple
from functools import partial
from typing import Any, Callable, List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from ..transforms._presets import ImageClassifi... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/googlenet.py", "license": "bsd-3-clause", "size": 12806} |
### File: torchvision/models/inception.py
import warnings
from collections import namedtuple
from functools import partial
from typing import Any, Callable, List, Optional, Tuple
import torch
import torch.nn.functional as F
from torch import nn, Tensor
from ..transforms._presets import ImageClassification
from ..util... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/inception.py", "license": "bsd-3-clause", "size": 18851} |
### File: torchvision/models/maxvit.py
import math
from collections import OrderedDict
from functools import partial
from typing import Any, Callable, List, Optional, Sequence, Tuple
import numpy as np
import torch
import torch.nn.functional as F
from torch import nn, Tensor
from torchvision.models._api import registe... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/maxvit.py", "license": "bsd-3-clause", "size": 31953} |
### File: torchvision/models/mnasnet.py
import warnings
from functools import partial
from typing import Any, Dict, List, Optional
import torch
import torch.nn as nn
from torch import Tensor
from ..transforms._presets import ImageClassification
from ..utils import _log_api_usage_once
from ._api import register_model,... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/mnasnet.py", "license": "bsd-3-clause", "size": 17574} |
### File: torchvision/models/mobilenet.py
from .mobilenetv2 import * # noqa: F401, F403
from .mobilenetv3 import * # noqa: F401, F403
from .mobilenetv2 import __all__ as mv2_all
from .mobilenetv3 import __all__ as mv3_all
__all__ = mv2_all + mv3_all
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/mobilenet.py", "license": "bsd-3-clause", "size": 211} |
### File: torchvision/models/mobilenetv2.py
from functools import partial
from typing import Any, Callable, List, Optional
import torch
from torch import nn, Tensor
from ..ops.misc import Conv2dNormActivation
from ..transforms._presets import ImageClassification
from ..utils import _log_api_usage_once
from ._api impo... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/mobilenetv2.py", "license": "bsd-3-clause", "size": 9710} |
### File: torchvision/models/mobilenetv3.py
from functools import partial
from typing import Any, Callable, List, Optional, Sequence
import torch
from torch import nn, Tensor
from ..ops.misc import Conv2dNormActivation, SqueezeExcitation as SElayer
from ..transforms._presets import ImageClassification
from ..utils im... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/mobilenetv3.py", "license": "bsd-3-clause", "size": 16279} |
### File: torchvision/models/optical_flow/__init__.py
from .raft import *
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/optical_flow/__init__.py", "license": "bsd-3-clause", "size": 20} |
### File: torchvision/models/optical_flow/_utils.py
from typing import Optional
import torch
import torch.nn.functional as F
from torch import Tensor
def grid_sample(img: Tensor, absolute_grid: Tensor, mode: str = "bilinear", align_corners: Optional[bool] = None):
"""Same as torch's grid_sample, with absolute pi... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/optical_flow/_utils.py", "license": "bsd-3-clause", "size": 2077} |
### File: torchvision/models/optical_flow/raft.py
from typing import List, Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from torch.nn.modules.batchnorm import BatchNorm2d
from torch.nn.modules.instancenorm import InstanceNorm2d
from torchvision.ops import Conv2dN... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/optical_flow/raft.py", "license": "bsd-3-clause", "size": 39995} |
### File: torchvision/models/quantization/__init__.py
from .googlenet import *
from .inception import *
from .mobilenet import *
from .resnet import *
from .shufflenetv2 import *
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/quantization/__init__.py", "license": "bsd-3-clause", "size": 125} |
### File: torchvision/models/quantization/googlenet.py
import warnings
from functools import partial
from typing import Any, Optional, Union
import torch
import torch.nn as nn
from torch import Tensor
from torch.nn import functional as F
from ...transforms._presets import ImageClassification
from .._api import regist... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/quantization/googlenet.py", "license": "bsd-3-clause", "size": 8080} |
### File: torchvision/models/quantization/inception.py
import warnings
from functools import partial
from typing import Any, List, Optional, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
from torchvision.models import inception as inception_module
from torchvision.mo... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/quantization/inception.py", "license": "bsd-3-clause", "size": 10815} |
### File: torchvision/models/quantization/mobilenet.py
from .mobilenetv2 import * # noqa: F401, F403
from .mobilenetv3 import * # noqa: F401, F403
from .mobilenetv2 import __all__ as mv2_all
from .mobilenetv3 import __all__ as mv3_all
__all__ = mv2_all + mv3_all
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/quantization/mobilenet.py", "license": "bsd-3-clause", "size": 211} |
### File: torchvision/models/quantization/mobilenetv2.py
from functools import partial
from typing import Any, Optional, Union
from torch import nn, Tensor
from torch.ao.quantization import DeQuantStub, QuantStub
from torchvision.models.mobilenetv2 import InvertedResidual, MobileNet_V2_Weights, MobileNetV2
from ...op... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/quantization/mobilenetv2.py", "license": "bsd-3-clause", "size": 5883} |
### File: torchvision/models/quantization/mobilenetv3.py
from functools import partial
from typing import Any, List, Optional, Union
import torch
from torch import nn, Tensor
from torch.ao.quantization import DeQuantStub, QuantStub
from ...ops.misc import Conv2dNormActivation, SqueezeExcitation
from ...transforms._pr... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/quantization/mobilenetv3.py", "license": "bsd-3-clause", "size": 9230} |
### File: torchvision/models/quantization/resnet.py
from functools import partial
from typing import Any, List, Optional, Type, Union
import torch
import torch.nn as nn
from torch import Tensor
from torchvision.models.resnet import (
BasicBlock,
Bottleneck,
ResNet,
ResNet18_Weights,
ResNet50_Weight... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/quantization/resnet.py", "license": "bsd-3-clause", "size": 17939} |
### File: torchvision/models/quantization/shufflenetv2.py
from functools import partial
from typing import Any, List, Optional, Union
import torch
import torch.nn as nn
from torch import Tensor
from torchvision.models import shufflenetv2
from ...transforms._presets import ImageClassification
from .._api import regist... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/quantization/shufflenetv2.py", "license": "bsd-3-clause", "size": 16884} |
### File: torchvision/models/quantization/utils.py
from typing import Any, List, Optional, Union
import torch
from torch import nn
def _replace_relu(module: nn.Module) -> None:
reassign = {}
for name, mod in module.named_children():
_replace_relu(mod)
# Checking for explicit type instead of i... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/quantization/utils.py", "license": "bsd-3-clause", "size": 2058} |
### File: torchvision/models/regnet.py
import math
from collections import OrderedDict
from functools import partial
from typing import Any, Callable, Dict, List, Optional, Tuple
import torch
from torch import nn, Tensor
from ..ops.misc import Conv2dNormActivation, SqueezeExcitation
from ..transforms._presets import ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/regnet.py", "license": "bsd-3-clause", "size": 63553} |
### File: torchvision/models/resnet.py
from functools import partial
from typing import Any, Callable, List, Optional, Type, Union
import torch
import torch.nn as nn
from torch import Tensor
from ..transforms._presets import ImageClassification
from ..utils import _log_api_usage_once
from ._api import register_model,... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/resnet.py", "license": "bsd-3-clause", "size": 38932} |
### File: torchvision/models/segmentation/__init__.py
from .deeplabv3 import *
from .fcn import *
from .lraspp import *
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/segmentation/__init__.py", "license": "bsd-3-clause", "size": 66} |
### File: torchvision/models/segmentation/_utils.py
from collections import OrderedDict
from typing import Dict, Optional
from torch import nn, Tensor
from torch.nn import functional as F
from ...utils import _log_api_usage_once
class _SimpleSegmentationModel(nn.Module):
__constants__ = ["aux_classifier"]
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/segmentation/_utils.py", "license": "bsd-3-clause", "size": 1197} |
### File: torchvision/models/segmentation/deeplabv3.py
from functools import partial
from typing import Any, List, Optional
import torch
from torch import nn
from torch.nn import functional as F
from ...transforms._presets import SemanticSegmentation
from .._api import register_model, Weights, WeightsEnum
from .._met... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/segmentation/deeplabv3.py", "license": "bsd-3-clause", "size": 14963} |
### File: torchvision/models/segmentation/fcn.py
from functools import partial
from typing import Any, Optional
from torch import nn
from ...transforms._presets import SemanticSegmentation
from .._api import register_model, Weights, WeightsEnum
from .._meta import _VOC_CATEGORIES
from .._utils import _ovewrite_value_... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/segmentation/fcn.py", "license": "bsd-3-clause", "size": 8973} |
### File: torchvision/models/segmentation/lraspp.py
from collections import OrderedDict
from functools import partial
from typing import Any, Dict, Optional
from torch import nn, Tensor
from torch.nn import functional as F
from ...transforms._presets import SemanticSegmentation
from ...utils import _log_api_usage_onc... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/segmentation/lraspp.py", "license": "bsd-3-clause", "size": 7643} |
### File: torchvision/models/shufflenetv2.py
from functools import partial
from typing import Any, Callable, List, Optional
import torch
import torch.nn as nn
from torch import Tensor
from ..transforms._presets import ImageClassification
from ..utils import _log_api_usage_once
from ._api import register_model, Weight... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/shufflenetv2.py", "license": "bsd-3-clause", "size": 15444} |
### File: torchvision/models/squeezenet.py
from functools import partial
from typing import Any, Optional
import torch
import torch.nn as nn
import torch.nn.init as init
from ..transforms._presets import ImageClassification
from ..utils import _log_api_usage_once
from ._api import register_model, Weights, WeightsEnum... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/squeezenet.py", "license": "bsd-3-clause", "size": 8763} |
### File: torchvision/models/swin_transformer.py
import math
from functools import partial
from typing import Any, Callable, List, Optional
import torch
import torch.nn.functional as F
from torch import nn, Tensor
from ..ops.misc import MLP, Permute
from ..ops.stochastic_depth import StochasticDepth
from ..transforms... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/swin_transformer.py", "license": "bsd-3-clause", "size": 39337} |
### File: torchvision/models/vgg.py
from functools import partial
from typing import Any, cast, Dict, List, Optional, Union
import torch
import torch.nn as nn
from ..transforms._presets import ImageClassification
from ..utils import _log_api_usage_once
from ._api import register_model, Weights, WeightsEnum
from ._met... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/vgg.py", "license": "bsd-3-clause", "size": 19225} |
### File: torchvision/models/video/__init__.py
from .mvit import *
from .resnet import *
from .s3d import *
from .swin_transformer import *
| {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/video/__init__.py", "license": "bsd-3-clause", "size": 93} |
### File: torchvision/models/video/mvit.py
import math
from dataclasses import dataclass
from functools import partial
from typing import Any, Callable, Dict, List, Optional, Sequence, Tuple
import torch
import torch.fx
import torch.nn as nn
from ...ops import MLP, StochasticDepth
from ...transforms._presets import V... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/video/mvit.py", "license": "bsd-3-clause", "size": 32998} |
### File: torchvision/models/video/resnet.py
from functools import partial
from typing import Any, Callable, List, Optional, Sequence, Tuple, Type, Union
import torch.nn as nn
from torch import Tensor
from ...transforms._presets import VideoClassification
from ...utils import _log_api_usage_once
from .._api import re... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/video/resnet.py", "license": "bsd-3-clause", "size": 16771} |
### File: torchvision/models/video/s3d.py
from functools import partial
from typing import Any, Callable, Optional
import torch
from torch import nn
from torchvision.ops.misc import Conv3dNormActivation
from ...transforms._presets import VideoClassification
from ...utils import _log_api_usage_once
from .._api import ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/video/s3d.py", "license": "bsd-3-clause", "size": 7815} |
### File: torchvision/models/video/swin_transformer.py
# Modified from 2d Swin Transformers in torchvision:
# https://github.com/pytorch/vision/blob/main/torchvision/models/swin_transformer.py
from functools import partial
from typing import Any, Callable, List, Optional, Tuple
import torch
import torch.nn.functional... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/video/swin_transformer.py", "license": "bsd-3-clause", "size": 27688} |
### File: torchvision/models/vision_transformer.py
import math
from collections import OrderedDict
from functools import partial
from typing import Any, Callable, Dict, List, NamedTuple, Optional
import torch
import torch.nn as nn
from ..ops.misc import Conv2dNormActivation, MLP
from ..transforms._presets import Imag... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/models/vision_transformer.py", "license": "bsd-3-clause", "size": 32136} |
### File: torchvision/ops/__init__.py
from ._register_onnx_ops import _register_custom_op
from .boxes import (
batched_nms,
box_area,
box_convert,
box_iou,
clip_boxes_to_image,
complete_box_iou,
distance_box_iou,
generalized_box_iou,
masks_to_boxes,
nms,
remove_small_boxes,
)... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/ops/__init__.py", "license": "bsd-3-clause", "size": 1928} |
### File: torchvision/ops/_box_convert.py
import torch
from torch import Tensor
def _box_cxcywh_to_xyxy(boxes: Tensor) -> Tensor:
"""
Converts bounding boxes from (cx, cy, w, h) format to (x1, y1, x2, y2) format.
(cx, cy) refers to center of bounding box
(w, h) are width and height of bounding box
... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/ops/_box_convert.py", "license": "bsd-3-clause", "size": 2409} |
### File: torchvision/ops/_register_onnx_ops.py
import sys
import warnings
import torch
from torch.onnx import symbolic_opset11 as opset11
from torch.onnx.symbolic_helper import parse_args
_ONNX_OPSET_VERSION_11 = 11
_ONNX_OPSET_VERSION_16 = 16
BASE_ONNX_OPSET_VERSION = _ONNX_OPSET_VERSION_11
@parse_args("v", "v", ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/ops/_register_onnx_ops.py", "license": "bsd-3-clause", "size": 4181} |
### File: torchvision/ops/_utils.py
from typing import List, Optional, Tuple, Union
import torch
from torch import nn, Tensor
def _cat(tensors: List[Tensor], dim: int = 0) -> Tensor:
"""
Efficient version of torch.cat that avoids a copy if there is only a single element in a list
"""
# TODO add back ... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/ops/_utils.py", "license": "bsd-3-clause", "size": 3630} |
### File: torchvision/ops/boxes.py
from typing import Tuple
import torch
import torchvision
from torch import Tensor
from torchvision.extension import _assert_has_ops
from ..utils import _log_api_usage_once
from ._box_convert import _box_cxcywh_to_xyxy, _box_xywh_to_xyxy, _box_xyxy_to_cxcywh, _box_xyxy_to_xywh
from .... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/ops/boxes.py", "license": "bsd-3-clause", "size": 15495} |
### File: torchvision/ops/ciou_loss.py
import torch
from ..utils import _log_api_usage_once
from ._utils import _upcast_non_float
from .diou_loss import _diou_iou_loss
def complete_box_iou_loss(
boxes1: torch.Tensor,
boxes2: torch.Tensor,
reduction: str = "none",
eps: float = 1e-7,
) -> torch.Tensor:... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/ops/ciou_loss.py", "license": "bsd-3-clause", "size": 2756} |
### File: torchvision/ops/deform_conv.py
import math
from typing import Optional, Tuple
import torch
from torch import nn, Tensor
from torch.nn import init
from torch.nn.modules.utils import _pair
from torch.nn.parameter import Parameter
from torchvision.extension import _assert_has_ops
from ..utils import _log_api_u... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/ops/deform_conv.py", "license": "bsd-3-clause", "size": 6990} |
### File: torchvision/ops/diou_loss.py
from typing import Tuple
import torch
from ..utils import _log_api_usage_once
from ._utils import _loss_inter_union, _upcast_non_float
def distance_box_iou_loss(
boxes1: torch.Tensor,
boxes2: torch.Tensor,
reduction: str = "none",
eps: float = 1e-7,
) -> torch.... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/ops/diou_loss.py", "license": "bsd-3-clause", "size": 3362} |
### File: torchvision/ops/drop_block.py
import torch
import torch.fx
import torch.nn.functional as F
from torch import nn, Tensor
from ..utils import _log_api_usage_once
def drop_block2d(
input: Tensor, p: float, block_size: int, inplace: bool = False, eps: float = 1e-06, training: bool = True
) -> Tensor:
"... | {"idx": "gitee_code", "domain": "code", "domain2": "gitee-permissive", "header_footer": "", "lang": "en", "source": "gitee_code-0.jsonl", "prog_lang": "Python", "repo_name": "minhanghuang/pytorch-vision", "path": "torchvision/ops/drop_block.py", "license": "bsd-3-clause", "size": 5855} |
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