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### File: torchvision/ops/feature_pyramid_network.py
from collections import OrderedDict
from typing import Callable, Dict, List, Optional, Tuple
import torch.nn.functional as F
from torch import nn, Tensor
from ..ops.misc import Conv2dNormActivation
from ..utils import _log_api_usage_once
class ExtraFPNBlock(nn.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/ops/feature_pyramid_network.py", "license": "bsd-3-clause", "size": 8702} |
### File: torchvision/ops/focal_loss.py
import torch
import torch.nn.functional as F
from ..utils import _log_api_usage_once
def sigmoid_focal_loss(
inputs: torch.Tensor,
targets: torch.Tensor,
alpha: float = 0.25,
gamma: float = 2,
reduction: str = "none",
) -> torch.Tensor:
"""
Loss use... | {"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/focal_loss.py", "license": "bsd-3-clause", "size": 2261} |
### File: torchvision/ops/giou_loss.py
import torch
from ..utils import _log_api_usage_once
from ._utils import _loss_inter_union, _upcast_non_float
def generalized_box_iou_loss(
boxes1: torch.Tensor,
boxes2: torch.Tensor,
reduction: str = "none",
eps: float = 1e-7,
) -> torch.Tensor:
"""
Gr... | {"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/giou_loss.py", "license": "bsd-3-clause", "size": 2696} |
### File: torchvision/ops/misc.py
import warnings
from typing import Callable, List, Optional, Sequence, Tuple, Union
import torch
from torch import Tensor
from ..utils import _log_api_usage_once, _make_ntuple
interpolate = torch.nn.functional.interpolate
class FrozenBatchNorm2d(torch.nn.Module):
"""
Batc... | {"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/misc.py", "license": "bsd-3-clause", "size": 13572} |
### File: torchvision/ops/poolers.py
from typing import Dict, List, Optional, Tuple, Union
import torch
import torch.fx
import torchvision
from torch import nn, Tensor
from torchvision.ops.boxes import box_area
from ..utils import _log_api_usage_once
from .roi_align import roi_align
# copying result_idx_in_level to... | {"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/poolers.py", "license": "bsd-3-clause", "size": 11920} |
### File: torchvision/ops/ps_roi_align.py
import torch
import torch.fx
from torch import nn, Tensor
from torch.nn.modules.utils import _pair
from torchvision.extension import _assert_has_ops
from ..utils import _log_api_usage_once
from ._utils import check_roi_boxes_shape, convert_boxes_to_roi_format
@torch.fx.wrap
... | {"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/ps_roi_align.py", "license": "bsd-3-clause", "size": 3625} |
### File: torchvision/ops/ps_roi_pool.py
import torch
import torch.fx
from torch import nn, Tensor
from torch.nn.modules.utils import _pair
from torchvision.extension import _assert_has_ops
from ..utils import _log_api_usage_once
from ._utils import check_roi_boxes_shape, convert_boxes_to_roi_format
@torch.fx.wrap
d... | {"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/ps_roi_pool.py", "license": "bsd-3-clause", "size": 2870} |
### File: torchvision/ops/roi_align.py
from typing import List, Union
import torch
import torch._dynamo
import torch.fx
from torch import nn, Tensor
from torch.jit.annotations import BroadcastingList2
from torch.nn.modules.utils import _pair
from torchvision.extension import _assert_has_ops, _has_ops
from ..utils imp... | {"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/roi_align.py", "license": "bsd-3-clause", "size": 10756} |
### File: torchvision/ops/roi_pool.py
from typing import List, Union
import torch
import torch.fx
from torch import nn, Tensor
from torch.jit.annotations import BroadcastingList2
from torch.nn.modules.utils import _pair
from torchvision.extension import _assert_has_ops
from ..utils import _log_api_usage_once
from ._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/roi_pool.py", "license": "bsd-3-clause", "size": 2943} |
### File: torchvision/ops/stochastic_depth.py
import torch
import torch.fx
from torch import nn, Tensor
from ..utils import _log_api_usage_once
def stochastic_depth(input: Tensor, p: float, mode: str, training: bool = True) -> Tensor:
"""
Implements the Stochastic Depth from `"Deep Networks with Stochastic D... | {"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/stochastic_depth.py", "license": "bsd-3-clause", "size": 2236} |
### File: torchvision/prototype/__init__.py
from . import models, transforms, tv_tensors, utils
| {"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/prototype/__init__.py", "license": "bsd-3-clause", "size": 52} |
### File: torchvision/prototype/datasets/__init__.py
try:
import torchdata
except ModuleNotFoundError:
raise ModuleNotFoundError(
"`torchvision.prototype.datasets` depends on PyTorch's `torchdata` (https://github.com/pytorch/data). "
"You can install it with `pip install --pre torchdata --extra-... | {"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/prototype/datasets/__init__.py", "license": "bsd-3-clause", "size": 632} |
### File: torchvision/prototype/datasets/_api.py
import pathlib
from typing import Any, Callable, Dict, List, Optional, Type, TypeVar, Union
from torchvision.prototype.datasets import home
from torchvision.prototype.datasets.utils import Dataset
from torchvision.prototype.utils._internal import add_suggestion
T = Ty... | {"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/prototype/datasets/_api.py", "license": "bsd-3-clause", "size": 1763} |
### File: torchvision/prototype/datasets/_builtin/__init__.py
from .caltech import Caltech101, Caltech256
from .celeba import CelebA
from .cifar import Cifar10, Cifar100
from .clevr import CLEVR
from .coco import Coco
from .country211 import Country211
from .cub200 import CUB200
from .dtd import DTD
from .eurosat impor... | {"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/prototype/datasets/_builtin/__init__.py", "license": "bsd-3-clause", "size": 668} |
### File: torchvision/prototype/datasets/_builtin/caltech.py
import pathlib
import re
from typing import Any, BinaryIO, Dict, List, Tuple, Union
import numpy as np
import torch
from torchdata.datapipes.iter import Filter, IterDataPipe, IterKeyZipper, Mapper
from torchvision.prototype.datasets.utils import Dataset, En... | {"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/prototype/datasets/_builtin/caltech.py", "license": "bsd-3-clause", "size": 6867} |
### File: torchvision/prototype/datasets/_builtin/celeba.py
import csv
import pathlib
from typing import Any, BinaryIO, Dict, Iterator, List, Optional, Sequence, Tuple, Union
import torch
from torchdata.datapipes.iter import Filter, IterDataPipe, IterKeyZipper, Mapper, Zipper
from torchvision.prototype.datasets.utils ... | {"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/prototype/datasets/_builtin/celeba.py", "license": "bsd-3-clause", "size": 7132} |
### File: torchvision/prototype/datasets/_builtin/cifar.py
import abc
import io
import pathlib
import pickle
from typing import Any, BinaryIO, cast, Dict, Iterator, List, Optional, Tuple, Union
import numpy as np
from torchdata.datapipes.iter import Filter, IterDataPipe, Mapper
from torchvision.prototype.datasets.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/prototype/datasets/_builtin/cifar.py", "license": "bsd-3-clause", "size": 4594} |
### File: torchvision/prototype/datasets/_builtin/clevr.py
import pathlib
from typing import Any, BinaryIO, Dict, List, Optional, Tuple, Union
from torchdata.datapipes.iter import Demultiplexer, Filter, IterDataPipe, IterKeyZipper, JsonParser, Mapper, UnBatcher
from torchvision.prototype.datasets.utils import 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/prototype/datasets/_builtin/clevr.py", "license": "bsd-3-clause", "size": 3599} |
### File: torchvision/prototype/datasets/_builtin/coco.py
import pathlib
import re
from collections import defaultdict, OrderedDict
from typing import Any, BinaryIO, cast, Dict, List, Optional, Tuple, Union
import torch
from torchdata.datapipes.iter import (
Demultiplexer,
Filter,
Grouper,
IterDataPipe... | {"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/prototype/datasets/_builtin/coco.py", "license": "bsd-3-clause", "size": 10113} |
### File: torchvision/prototype/datasets/_builtin/country211.py
import pathlib
from typing import Any, Dict, List, Tuple, Union
from torchdata.datapipes.iter import Filter, IterDataPipe, Mapper
from torchvision.prototype.datasets.utils import Dataset, EncodedImage, HttpResource, OnlineResource
from torchvision.prototy... | {"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/prototype/datasets/_builtin/country211.py", "license": "bsd-3-clause", "size": 2659} |
### File: torchvision/prototype/datasets/_builtin/cub200.py
import csv
import functools
import pathlib
from typing import Any, BinaryIO, Callable, Dict, List, Optional, Tuple, Union
import torch
from torchdata.datapipes.iter import (
CSVDictParser,
CSVParser,
Demultiplexer,
Filter,
IterDataPipe,
... | {"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/prototype/datasets/_builtin/cub200.py", "license": "bsd-3-clause", "size": 9330} |
### File: torchvision/prototype/datasets/_builtin/dtd.py
import enum
import pathlib
from typing import Any, BinaryIO, Dict, List, Optional, Tuple, Union
from torchdata.datapipes.iter import CSVParser, Demultiplexer, Filter, IterDataPipe, IterKeyZipper, LineReader, Mapper
from torchvision.prototype.datasets.utils impor... | {"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/prototype/datasets/_builtin/dtd.py", "license": "bsd-3-clause", "size": 4644} |
### File: torchvision/prototype/datasets/_builtin/eurosat.py
import pathlib
from typing import Any, Dict, List, Tuple, Union
from torchdata.datapipes.iter import IterDataPipe, Mapper
from torchvision.prototype.datasets.utils import Dataset, EncodedImage, HttpResource, OnlineResource
from torchvision.prototype.datasets... | {"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/prototype/datasets/_builtin/eurosat.py", "license": "bsd-3-clause", "size": 2052} |
### File: torchvision/prototype/datasets/_builtin/fer2013.py
import pathlib
from typing import Any, Dict, List, Union
import torch
from torchdata.datapipes.iter import CSVDictParser, IterDataPipe, Mapper
from torchvision.prototype.datasets.utils import Dataset, KaggleDownloadResource, OnlineResource
from torchvision.p... | {"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/prototype/datasets/_builtin/fer2013.py", "license": "bsd-3-clause", "size": 2441} |
### File: torchvision/prototype/datasets/_builtin/food101.py
from pathlib import Path
from typing import Any, BinaryIO, Dict, List, Optional, Tuple, Union
from torchdata.datapipes.iter import Demultiplexer, Filter, IterDataPipe, IterKeyZipper, LineReader, Mapper
from torchvision.prototype.datasets.utils import 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/prototype/datasets/_builtin/food101.py", "license": "bsd-3-clause", "size": 3420} |
### File: torchvision/prototype/datasets/_builtin/gtsrb.py
import pathlib
from typing import Any, Dict, List, Optional, Tuple, Union
from torchdata.datapipes.iter import CSVDictParser, Demultiplexer, Filter, IterDataPipe, Mapper, Zipper
from torchvision.prototype.datasets.utils import Dataset, EncodedImage, HttpResour... | {"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/prototype/datasets/_builtin/gtsrb.py", "license": "bsd-3-clause", "size": 4059} |
### File: torchvision/prototype/datasets/_builtin/imagenet.py
import enum
import pathlib
import re
from typing import Any, BinaryIO, cast, Dict, Iterator, List, Match, Optional, Tuple, Union
from torchdata.datapipes.iter import (
Demultiplexer,
Enumerator,
Filter,
IterDataPipe,
IterKeyZipper,
... | {"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/prototype/datasets/_builtin/imagenet.py", "license": "bsd-3-clause", "size": 8091} |
### File: torchvision/prototype/datasets/_builtin/mnist.py
import abc
import functools
import operator
import pathlib
import string
from typing import Any, BinaryIO, cast, Dict, Iterator, List, Optional, Sequence, Tuple, Union
import torch
from torchdata.datapipes.iter import Decompressor, Demultiplexer, IterDataPipe,... | {"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/prototype/datasets/_builtin/mnist.py", "license": "bsd-3-clause", "size": 15165} |
### File: torchvision/prototype/datasets/_builtin/oxford_iiit_pet.py
import enum
import pathlib
from typing import Any, BinaryIO, Dict, List, Optional, Tuple, Union
from torchdata.datapipes.iter import CSVDictParser, Demultiplexer, Filter, IterDataPipe, IterKeyZipper, Mapper
from torchvision.prototype.datasets.utils 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/prototype/datasets/_builtin/oxford_iiit_pet.py", "license": "bsd-3-clause", "size": 5645} |
### File: torchvision/prototype/datasets/_builtin/pcam.py
import io
import pathlib
from collections import namedtuple
from typing import Any, Dict, Iterator, List, Optional, Tuple, Union
from torchdata.datapipes.iter import IterDataPipe, Mapper, Zipper
from torchvision.prototype.datasets.utils import Dataset, GDriveRe... | {"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/prototype/datasets/_builtin/pcam.py", "license": "bsd-3-clause", "size": 4762} |
### File: torchvision/prototype/datasets/_builtin/sbd.py
import pathlib
import re
from typing import Any, BinaryIO, cast, Dict, List, Optional, Tuple, Union
import numpy as np
import torch
from torchdata.datapipes.iter import Demultiplexer, Filter, IterDataPipe, IterKeyZipper, LineReader, Mapper
from torchvision.proto... | {"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/prototype/datasets/_builtin/sbd.py", "license": "bsd-3-clause", "size": 5652} |
### File: torchvision/prototype/datasets/_builtin/semeion.py
import pathlib
from typing import Any, Dict, List, Tuple, Union
import torch
from torchdata.datapipes.iter import CSVParser, IterDataPipe, Mapper
from torchvision.prototype.datasets.utils import Dataset, HttpResource, OnlineResource
from torchvision.prototyp... | {"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/prototype/datasets/_builtin/semeion.py", "license": "bsd-3-clause", "size": 1985} |
### File: torchvision/prototype/datasets/_builtin/stanford_cars.py
import pathlib
from typing import Any, BinaryIO, Dict, Iterator, List, Tuple, Union
from torchdata.datapipes.iter import Filter, IterDataPipe, Mapper, Zipper
from torchvision.prototype.datasets.utils import Dataset, EncodedImage, HttpResource, OnlineRe... | {"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/prototype/datasets/_builtin/stanford_cars.py", "license": "bsd-3-clause", "size": 4401} |
### File: torchvision/prototype/datasets/_builtin/svhn.py
import pathlib
from typing import Any, BinaryIO, Dict, List, Tuple, Union
import numpy as np
from torchdata.datapipes.iter import IterDataPipe, Mapper, UnBatcher
from torchvision.prototype.datasets.utils import Dataset, HttpResource, OnlineResource
from torchvi... | {"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/prototype/datasets/_builtin/svhn.py", "license": "bsd-3-clause", "size": 2793} |
### File: torchvision/prototype/datasets/_builtin/usps.py
import pathlib
from typing import Any, Dict, List, Union
import torch
from torchdata.datapipes.iter import Decompressor, IterDataPipe, LineReader, Mapper
from torchvision.prototype.datasets.utils import Dataset, HttpResource, OnlineResource
from torchvision.pro... | {"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/prototype/datasets/_builtin/usps.py", "license": "bsd-3-clause", "size": 2419} |
### File: torchvision/prototype/datasets/_builtin/voc.py
import enum
import functools
import pathlib
from typing import Any, BinaryIO, cast, Dict, List, Optional, Tuple, Union
from xml.etree import ElementTree
from torchdata.datapipes.iter import Demultiplexer, Filter, IterDataPipe, IterKeyZipper, LineReader, Mapper
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/prototype/datasets/_builtin/voc.py", "license": "bsd-3-clause", "size": 9324} |
### File: torchvision/prototype/datasets/_folder.py
import functools
import os
import os.path
import pathlib
from typing import Any, BinaryIO, Collection, Dict, List, Optional, Tuple, Union
from torchdata.datapipes.iter import FileLister, FileOpener, Filter, IterDataPipe, Mapper
from torchvision.prototype.datasets.uti... | {"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/prototype/datasets/_folder.py", "license": "bsd-3-clause", "size": 2492} |
### File: torchvision/prototype/datasets/_home.py
import os
from typing import Optional
import torchvision._internally_replaced_utils as _iru
def home(root: Optional[str] = None) -> str:
if root is not None:
_iru._HOME = root
return _iru._HOME
root = os.getenv("TORCHVISION_DATASETS_HOME")
... | {"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/prototype/datasets/_home.py", "license": "bsd-3-clause", "size": 648} |
### File: torchvision/prototype/datasets/benchmark.py
# type: ignore
import argparse
import collections.abc
import contextlib
import inspect
import itertools
import os
import os.path
import pathlib
import shutil
import sys
import tempfile
import time
import unittest.mock
import warnings
import torch
from torch.utils.... | {"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/prototype/datasets/benchmark.py", "license": "bsd-3-clause", "size": 21560} |
### File: torchvision/prototype/datasets/generate_category_files.py
# type: ignore
import argparse
import csv
import sys
from torchvision.prototype import datasets
from torchvision.prototype.datasets.utils._internal import BUILTIN_DIR
def main(*names, force=False):
for name in names:
path = BUILTIN_DIR ... | {"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/prototype/datasets/generate_category_files.py", "license": "bsd-3-clause", "size": 1616} |
### File: torchvision/prototype/datasets/utils/__init__.py
from . import _internal # usort: skip
from ._dataset import Dataset
from ._encoded import EncodedData, EncodedImage
from ._resource import GDriveResource, HttpResource, KaggleDownloadResource, ManualDownloadResource, OnlineResource
| {"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/prototype/datasets/utils/__init__.py", "license": "bsd-3-clause", "size": 233} |
### File: torchvision/prototype/datasets/utils/_dataset.py
import abc
import importlib
import pathlib
from typing import Any, Collection, Dict, Iterator, List, Optional, Sequence, Union
from torchdata.datapipes.iter import IterDataPipe
from torchvision.datasets.utils import verify_str_arg
from ._resource import Onlin... | {"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/prototype/datasets/utils/_dataset.py", "license": "bsd-3-clause", "size": 1919} |
### File: torchvision/prototype/datasets/utils/_encoded.py
from __future__ import annotations
import os
import sys
from typing import Any, BinaryIO, Optional, Tuple, Type, TypeVar, Union
import PIL.Image
import torch
from torchvision.prototype.utils._internal import fromfile, ReadOnlyTensorBuffer
from torchvision.tv... | {"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/prototype/datasets/utils/_encoded.py", "license": "bsd-3-clause", "size": 1882} |
### File: torchvision/prototype/datasets/utils/_internal.py
import csv
import functools
import pathlib
import pickle
from typing import Any, BinaryIO, Callable, Dict, IO, Iterator, List, Sequence, Sized, Tuple, TypeVar, Union
import torch
import torch.distributed as dist
import torch.utils.data
from torchdata.datapipe... | {"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/prototype/datasets/utils/_internal.py", "license": "bsd-3-clause", "size": 6510} |
### File: torchvision/prototype/datasets/utils/_resource.py
import abc
import hashlib
import itertools
import pathlib
from typing import Any, Callable, IO, Literal, NoReturn, Optional, Sequence, Set, Tuple, Union
from urllib.parse import urlparse
from torchdata.datapipes.iter import (
FileLister,
FileOpener,
... | {"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/prototype/datasets/utils/_resource.py", "license": "bsd-3-clause", "size": 8359} |
### File: torchvision/prototype/models/__init__.py
from . import depth
| {"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/prototype/models/__init__.py", "license": "bsd-3-clause", "size": 20} |
### File: torchvision/prototype/models/depth/__init__.py
from . import stereo
| {"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/prototype/models/depth/__init__.py", "license": "bsd-3-clause", "size": 21} |
### File: torchvision/prototype/models/depth/stereo/__init__.py
from .raft_stereo import *
from .crestereo 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/prototype/models/depth/stereo/__init__.py", "license": "bsd-3-clause", "size": 52} |
### File: torchvision/prototype/models/depth/stereo/crestereo.py
import math
from functools import partial
from typing import Callable, Dict, Iterable, List, Optional, Tuple
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models.optical_flow.raft as raft
from to... | {"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/prototype/models/depth/stereo/crestereo.py", "license": "bsd-3-clause", "size": 64634} |
### File: torchvision/prototype/models/depth/stereo/raft_stereo.py
from functools import partial
from typing import Callable, List, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
import torchvision.models.optical_flow.raft as raft
from torch import Tensor
from torchvision.models._ap... | {"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/prototype/models/depth/stereo/raft_stereo.py", "license": "bsd-3-clause", "size": 37164} |
### File: torchvision/prototype/transforms/__init__.py
from ._presets import StereoMatching # usort: skip
from ._augment import SimpleCopyPaste
from ._geometry import FixedSizeCrop
from ._misc import PermuteDimensions, TransposeDimensions
from ._type_conversion import LabelToOneHot
| {"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/prototype/transforms/__init__.py", "license": "bsd-3-clause", "size": 230} |
### File: torchvision/prototype/transforms/_augment.py
from typing import Any, cast, Dict, List, Optional, Tuple, Union
import PIL.Image
import torch
from torch.utils._pytree import tree_flatten, tree_unflatten
from torchvision import tv_tensors
from torchvision.ops import masks_to_boxes
from torchvision.prototype imp... | {"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/prototype/transforms/_augment.py", "license": "bsd-3-clause", "size": 8958} |
### File: torchvision/prototype/transforms/_geometry.py
from typing import Any, Dict, List, Optional, Sequence, Type, Union
import PIL.Image
import torch
from torchvision import tv_tensors
from torchvision.prototype.tv_tensors import Label, OneHotLabel
from torchvision.transforms.v2 import functional as F, Transform
... | {"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/prototype/transforms/_geometry.py", "license": "bsd-3-clause", "size": 4662} |
### File: torchvision/prototype/transforms/_misc.py
import functools
import warnings
from collections import defaultdict
from typing import Any, Dict, Optional, Sequence, Tuple, Type, TypeVar, Union
import torch
from torchvision import tv_tensors
from torchvision.transforms.v2 import Transform
from torchvision.trans... | {"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/prototype/transforms/_misc.py", "license": "bsd-3-clause", "size": 2752} |
### File: torchvision/prototype/transforms/_presets.py
"""
This file is part of the private API. Please do not use directly these classes as they will be modified on
future versions without warning. The classes should be accessed only via the transforms argument of Weights.
"""
from typing import List, Optional, Tuple,... | {"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/prototype/transforms/_presets.py", "license": "bsd-3-clause", "size": 3201} |
### File: torchvision/prototype/transforms/_type_conversion.py
from typing import Any, Dict
import torch
from torch.nn.functional import one_hot
from torchvision.prototype import tv_tensors as proto_tv_tensors
from torchvision.transforms.v2 import Transform
class LabelToOneHot(Transform):
_transformed_types = ... | {"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/prototype/transforms/_type_conversion.py", "license": "bsd-3-clause", "size": 994} |
### File: torchvision/prototype/tv_tensors/__init__.py
from ._label import Label, OneHotLabel
| {"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/prototype/tv_tensors/__init__.py", "license": "bsd-3-clause", "size": 39} |
### File: torchvision/prototype/tv_tensors/_label.py
from __future__ import annotations
from typing import Any, Optional, Sequence, Type, TypeVar, Union
import torch
from torch.utils._pytree import tree_map
from torchvision.tv_tensors._tv_tensor import TVTensor
L = TypeVar("L", bound="_LabelBase")
class _LabelBa... | {"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/prototype/tv_tensors/_label.py", "license": "bsd-3-clause", "size": 2084} |
### File: torchvision/prototype/utils/__init__.py
from . import _internal
| {"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/prototype/utils/__init__.py", "license": "bsd-3-clause", "size": 24} |
### File: torchvision/prototype/utils/_internal.py
import collections.abc
import difflib
import io
import mmap
import platform
from typing import BinaryIO, Callable, Collection, Sequence, TypeVar, Union
import numpy as np
import torch
from torchvision._utils import sequence_to_str
__all__ = [
"add_suggestion",
... | {"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/prototype/utils/_internal.py", "license": "bsd-3-clause", "size": 5255} |
### File: torchvision/transforms/__init__.py
from .transforms import *
from .autoaugment 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/transforms/__init__.py", "license": "bsd-3-clause", "size": 53} |
### File: torchvision/transforms/_functional_pil.py
import numbers
from typing import Any, Dict, List, Literal, Optional, Sequence, Tuple, Union
import numpy as np
import torch
from PIL import Image, ImageEnhance, ImageOps
try:
import accimage
except ImportError:
accimage = None
@torch.jit.unused
def _is_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/transforms/_functional_pil.py", "license": "bsd-3-clause", "size": 12112} |
### File: torchvision/transforms/_functional_tensor.py
import warnings
from typing import List, Optional, Tuple, Union
import torch
from torch import Tensor
from torch.nn.functional import conv2d, grid_sample, interpolate, pad as torch_pad
def _is_tensor_a_torch_image(x: Tensor) -> bool:
return x.ndim >= 2
def... | {"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/transforms/_functional_tensor.py", "license": "bsd-3-clause", "size": 33965} |
### File: torchvision/transforms/_functional_video.py
import warnings
import torch
warnings.warn(
"The 'torchvision.transforms._functional_video' module is deprecated since 0.12 and will be removed in the future. "
"Please use the 'torchvision.transforms.functional' module instead."
)
def _is_tensor_video_... | {"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/transforms/_functional_video.py", "license": "bsd-3-clause", "size": 3857} |
### File: torchvision/transforms/_presets.py
"""
This file is part of the private API. Please do not use directly these classes as they will be modified on
future versions without warning. The classes should be accessed only via the transforms argument of Weights.
"""
from typing import Optional, Tuple, Union
import t... | {"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/transforms/_presets.py", "license": "bsd-3-clause", "size": 8519} |
### File: torchvision/transforms/_transforms_video.py
#!/usr/bin/env python3
import numbers
import random
import warnings
from torchvision.transforms import RandomCrop, RandomResizedCrop
from . import _functional_video as F
__all__ = [
"RandomCropVideo",
"RandomResizedCropVideo",
"CenterCropVideo",
... | {"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/transforms/_transforms_video.py", "license": "bsd-3-clause", "size": 4950} |
### File: torchvision/transforms/autoaugment.py
import math
from enum import Enum
from typing import Dict, List, Optional, Tuple
import torch
from torch import Tensor
from . import functional as F, InterpolationMode
__all__ = ["AutoAugmentPolicy", "AutoAugment", "RandAugment", "TrivialAugmentWide", "AugMix"]
def _... | {"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/transforms/autoaugment.py", "license": "bsd-3-clause", "size": 28243} |
### File: torchvision/transforms/functional.py
import math
import numbers
import warnings
from enum import Enum
from typing import Any, List, Optional, Tuple, Union
import numpy as np
import torch
from PIL import Image
from torch import Tensor
try:
import accimage
except ImportError:
accimage = None
from ..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/transforms/functional.py", "license": "bsd-3-clause", "size": 69460} |
### File: torchvision/transforms/functional_pil.py
import warnings
from torchvision.transforms._functional_pil import * # noqa
warnings.warn(
"The torchvision.transforms.functional_pil module is deprecated "
"in 0.15 and will be **removed in 0.17**. Please don't rely on it. "
"You probably just need to 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/transforms/functional_pil.py", "license": "bsd-3-clause", "size": 375} |
### File: torchvision/transforms/functional_tensor.py
import warnings
from torchvision.transforms._functional_tensor import * # noqa
warnings.warn(
"The torchvision.transforms.functional_tensor module is deprecated "
"in 0.15 and will be **removed in 0.17**. Please don't rely on it. "
"You probably just ... | {"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/transforms/functional_tensor.py", "license": "bsd-3-clause", "size": 381} |
### File: torchvision/transforms/transforms.py
import math
import numbers
import random
import warnings
from collections.abc import Sequence
from typing import List, Optional, Tuple, Union
import torch
from torch import Tensor
try:
import accimage
except ImportError:
accimage = None
from ..utils import _log_... | {"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/transforms/transforms.py", "license": "bsd-3-clause", "size": 86099} |
### File: torchvision/transforms/v2/__init__.py
from torchvision.transforms import AutoAugmentPolicy, InterpolationMode # usort: skip
from . import functional # usort: skip
from ._transform import Transform # usort: skip
from ._augment import CutMix, MixUp, RandomErasing
from ._auto_augment import AugMix, AutoAug... | {"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/transforms/v2/__init__.py", "license": "bsd-3-clause", "size": 1419} |
### File: torchvision/transforms/v2/_augment.py
import math
import numbers
import warnings
from typing import Any, Callable, Dict, List, Tuple
import PIL.Image
import torch
from torch.nn.functional import one_hot
from torch.utils._pytree import tree_flatten, tree_unflatten
from torchvision import transforms as _transf... | {"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/transforms/v2/_augment.py", "license": "bsd-3-clause", "size": 13943} |
### File: torchvision/transforms/v2/_auto_augment.py
import math
from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
import PIL.Image
import torch
from torch.utils._pytree import tree_flatten, tree_unflatten, TreeSpec
from torchvision import transforms as _transforms, tv_tensors
from torchvisio... | {"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/transforms/v2/_auto_augment.py", "license": "bsd-3-clause", "size": 31990} |
### File: torchvision/transforms/v2/_color.py
import collections.abc
from typing import Any, Dict, List, Optional, Sequence, Tuple, Union
import torch
from torchvision import transforms as _transforms
from torchvision.transforms.v2 import functional as F, Transform
from ._transform import _RandomApplyTransform
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/transforms/v2/_color.py", "license": "bsd-3-clause", "size": 16976} |
### File: torchvision/transforms/v2/_container.py
from typing import Any, Callable, Dict, List, Optional, Sequence, Union
import torch
from torch import nn
from torchvision import transforms as _transforms
from torchvision.transforms.v2 import Transform
class Compose(Transform):
"""[BETA] Composes several trans... | {"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/transforms/v2/_container.py", "license": "bsd-3-clause", "size": 6124} |
### File: torchvision/transforms/v2/_deprecated.py
import warnings
from typing import Any, Dict, Union
import numpy as np
import PIL.Image
import torch
from torchvision.transforms import functional as _F
from torchvision.transforms.v2 import Transform
class ToTensor(Transform):
"""[BETA] [DEPRECATED] Use ``v2.C... | {"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/transforms/v2/_deprecated.py", "license": "bsd-3-clause", "size": 1886} |
### File: torchvision/transforms/v2/_geometry.py
import math
import numbers
import warnings
from typing import Any, Callable, cast, Dict, List, Literal, Optional, Sequence, Tuple, Type, Union
import PIL.Image
import torch
from torchvision import transforms as _transforms, tv_tensors
from torchvision.ops.boxes 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/transforms/v2/_geometry.py", "license": "bsd-3-clause", "size": 68895} |
### File: torchvision/transforms/v2/_meta.py
from typing import Any, Dict, Union
from torchvision import tv_tensors
from torchvision.transforms.v2 import functional as F, Transform
class ConvertBoundingBoxFormat(Transform):
"""[BETA] Convert bounding box coordinates to the given ``format``, eg from "CXCYWH" to "... | {"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/transforms/v2/_meta.py", "license": "bsd-3-clause", "size": 1613} |
### File: torchvision/transforms/v2/_misc.py
import warnings
from typing import Any, Callable, cast, Dict, List, Optional, Sequence, Type, Union
import PIL.Image
import torch
from torch.utils._pytree import tree_flatten, tree_unflatten
from torchvision import transforms as _transforms, tv_tensors
from torchvision.tr... | {"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/transforms/v2/_misc.py", "license": "bsd-3-clause", "size": 17505} |
### File: torchvision/transforms/v2/_temporal.py
from typing import Any, Dict
import torch
from torchvision.transforms.v2 import functional as F, Transform
class UniformTemporalSubsample(Transform):
"""[BETA] Uniformly subsample ``num_samples`` indices from the temporal dimension of the video.
.. v2betastat... | {"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/transforms/v2/_temporal.py", "license": "bsd-3-clause", "size": 971} |
### File: torchvision/transforms/v2/_transform.py
from __future__ import annotations
import enum
from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union
import PIL.Image
import torch
from torch import nn
from torch.utils._pytree import tree_flatten, tree_unflatten
from torchvision import tv_tensors... | {"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/transforms/v2/_transform.py", "license": "bsd-3-clause", "size": 8476} |
### File: torchvision/transforms/v2/_type_conversion.py
from typing import Any, Dict, Optional, Union
import numpy as np
import PIL.Image
import torch
from torchvision import tv_tensors
from torchvision.transforms.v2 import functional as F, Transform
from torchvision.transforms.v2._utils import is_pure_tensor
clas... | {"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/transforms/v2/_type_conversion.py", "license": "bsd-3-clause", "size": 3065} |
### File: torchvision/transforms/v2/_utils.py
from __future__ import annotations
import collections.abc
import numbers
from contextlib import suppress
from typing import Any, Callable, Dict, List, Literal, Optional, Sequence, Tuple, Type, Union
import PIL.Image
import torch
from torchvision import tv_tensors
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/transforms/v2/_utils.py", "license": "bsd-3-clause", "size": 8706} |
### File: torchvision/transforms/v2/functional/__init__.py
from torchvision.transforms import InterpolationMode # usort: skip
from ._utils import is_pure_tensor, register_kernel # usort: skip
from ._meta import (
clamp_bounding_boxes,
convert_bounding_box_format,
get_dimensions_image,
_get_dimension... | {"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/transforms/v2/functional/__init__.py", "license": "bsd-3-clause", "size": 4217} |
### File: torchvision/transforms/v2/functional/_augment.py
import PIL.Image
import torch
from torchvision import tv_tensors
from torchvision.transforms.functional import pil_to_tensor, to_pil_image
from torchvision.utils import _log_api_usage_once
from ._utils import _get_kernel, _register_kernel_internal
def erase... | {"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/transforms/v2/functional/_augment.py", "license": "bsd-3-clause", "size": 1688} |
### File: torchvision/transforms/v2/functional/_color.py
from typing import List
import PIL.Image
import torch
from torch.nn.functional import conv2d
from torchvision import tv_tensors
from torchvision.transforms import _functional_pil as _FP
from torchvision.transforms._functional_tensor import _max_value
from 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/transforms/v2/functional/_color.py", "license": "bsd-3-clause", "size": 29038} |
### File: torchvision/transforms/v2/functional/_deprecated.py
import warnings
from typing import Any, List
import torch
from torchvision.transforms import functional as _F
@torch.jit.unused
def to_tensor(inpt: Any) -> torch.Tensor:
"""[BETA] [DEPREACTED] Use to_image() and to_dtype() instead."""
warnings.wa... | {"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/transforms/v2/functional/_deprecated.py", "license": "bsd-3-clause", "size": 808} |
### File: torchvision/transforms/v2/functional/_geometry.py
import math
import numbers
import warnings
from typing import Any, List, Optional, Sequence, Tuple, Union
import PIL.Image
import torch
from torch.nn.functional import grid_sample, interpolate, pad as torch_pad
from torchvision import tv_tensors
from torchvi... | {"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/transforms/v2/functional/_geometry.py", "license": "bsd-3-clause", "size": 86889} |
### File: torchvision/transforms/v2/functional/_meta.py
from typing import List, Optional, Tuple
import PIL.Image
import torch
from torchvision import tv_tensors
from torchvision.transforms import _functional_pil as _FP
from torchvision.tv_tensors import BoundingBoxFormat
from torchvision.utils import _log_api_usage_... | {"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/transforms/v2/functional/_meta.py", "license": "bsd-3-clause", "size": 10369} |
### File: torchvision/transforms/v2/functional/_misc.py
import math
from typing import List, Optional
import PIL.Image
import torch
from torch.nn.functional import conv2d, pad as torch_pad
from torchvision import tv_tensors
from torchvision.transforms._functional_tensor import _max_value
from torchvision.transforms.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/transforms/v2/functional/_misc.py", "license": "bsd-3-clause", "size": 10734} |
### File: torchvision/transforms/v2/functional/_temporal.py
import torch
from torchvision import tv_tensors
from torchvision.utils import _log_api_usage_once
from ._utils import _get_kernel, _register_kernel_internal
def uniform_temporal_subsample(inpt: torch.Tensor, num_samples: int) -> torch.Tensor:
"""[BETA... | {"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/transforms/v2/functional/_temporal.py", "license": "bsd-3-clause", "size": 1143} |
### File: torchvision/transforms/v2/functional/_type_conversion.py
from typing import Union
import numpy as np
import PIL.Image
import torch
from torchvision import tv_tensors
from torchvision.transforms import functional as _F
@torch.jit.unused
def to_image(inpt: Union[torch.Tensor, PIL.Image.Image, np.ndarray]) ->... | {"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/transforms/v2/functional/_type_conversion.py", "license": "bsd-3-clause", "size": 823} |
### File: torchvision/transforms/v2/functional/_utils.py
import functools
from typing import Any, Callable, Dict, List, Optional, Sequence, Type, Union
import torch
from torchvision import tv_tensors
_FillType = Union[int, float, Sequence[int], Sequence[float], None]
_FillTypeJIT = Optional[List[float]]
def is_pure... | {"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/transforms/v2/functional/_utils.py", "license": "bsd-3-clause", "size": 5486} |
### File: torchvision/tv_tensors/__init__.py
import torch
from ._bounding_boxes import BoundingBoxes, BoundingBoxFormat
from ._image import Image
from ._mask import Mask
from ._torch_function_helpers import set_return_type
from ._tv_tensor import TVTensor
from ._video import Video
def wrap(wrappee, *, like, **kwargs... | {"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/tv_tensors/__init__.py", "license": "bsd-3-clause", "size": 1260} |
### File: torchvision/tv_tensors/_bounding_boxes.py
from __future__ import annotations
from enum import Enum
from typing import Any, Mapping, Optional, Sequence, Tuple, Union
import torch
from torch.utils._pytree import tree_flatten
from ._tv_tensor import TVTensor
class BoundingBoxFormat(Enum):
"""[BETA] Coor... | {"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/tv_tensors/_bounding_boxes.py", "license": "bsd-3-clause", "size": 4485} |
### File: torchvision/tv_tensors/_dataset_wrapper.py
# type: ignore
from __future__ import annotations
import collections.abc
import contextlib
from collections import defaultdict
import torch
from torchvision import datasets, tv_tensors
from torchvision.transforms.v2 import functional as F
__all__ = ["wrap_datas... | {"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/tv_tensors/_dataset_wrapper.py", "license": "bsd-3-clause", "size": 23603} |
### File: torchvision/tv_tensors/_image.py
from __future__ import annotations
from typing import Any, Optional, Union
import PIL.Image
import torch
from ._tv_tensor import TVTensor
class Image(TVTensor):
"""[BETA] :class:`torch.Tensor` subclass for images.
.. note::
In the :ref:`transforms <trans... | {"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/tv_tensors/_image.py", "license": "bsd-3-clause", "size": 1911} |
### File: torchvision/tv_tensors/_mask.py
from __future__ import annotations
from typing import Any, Optional, Union
import PIL.Image
import torch
from ._tv_tensor import TVTensor
class Mask(TVTensor):
"""[BETA] :class:`torch.Tensor` subclass for segmentation and detection masks.
Args:
data (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/tv_tensors/_mask.py", "license": "bsd-3-clause", "size": 1458} |
### File: torchvision/tv_tensors/_torch_function_helpers.py
import torch
_TORCHFUNCTION_SUBCLASS = False
class _ReturnTypeCM:
def __init__(self, to_restore):
self.to_restore = to_restore
def __enter__(self):
return self
def __exit__(self, *args):
global _TORCHFUNCTION_SUBCLASS
... | {"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/tv_tensors/_torch_function_helpers.py", "license": "bsd-3-clause", "size": 2283} |
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