code stringlengths 1.14k 31.2k | apis sequence | extract_api stringlengths 187 38.3k |
|---|---|---|
import pathlib
from typing import Any, Dict, List, Tuple
from torchdata.datapipes.iter import IterDataPipe, Mapper, Filter
from torchvision.prototype.datasets.utils import Dataset, DatasetConfig, DatasetInfo, HttpResource, OnlineResource
from torchvision.prototype.datasets.utils._internal import path_comparator, hint_... | [
"torchdata.datapipes.iter.Mapper"
] | [((1862, 1880), 'torchvision.prototype.datasets.utils._internal.hint_shuffling', 'hint_shuffling', (['dp'], {}), '(dp)\n', (1876, 1880), False, 'from torchvision.prototype.datasets.utils._internal import path_comparator, hint_sharding, hint_shuffling\n'), ((1894, 1911), 'torchvision.prototype.datasets.utils._internal.h... |
import enum
import pdb
import functools
import pathlib
from typing import Any, Dict, List, Optional, Tuple, BinaryIO, cast, Union
from xml.etree import ElementTree
from torchdata.datapipes.iter import (
IterDataPipe,
Mapper,
Filter,
Demultiplexer,
IterKeyZipper,
LineReader,
)
from torchvision.d... | [
"torchdata.datapipes.iter.Mapper",
"torchdata.datapipes.iter.LineReader",
"torchdata.datapipes.iter.Demultiplexer",
"torchdata.datapipes.iter.Filter"
] | [((3711, 3818), 'Dataset4EO.datasets.utils.HttpResource', 'HttpResource', (['f"""http://host.robots.ox.ac.uk/pascal/VOC/voc{self._year}/{file_name}"""'], {'sha256': 'sha256'}), "(\n f'http://host.robots.ox.ac.uk/pascal/VOC/voc{self._year}/{file_name}',\n sha256=sha256)\n", (3723, 3818), False, 'from Dataset4EO.da... |
from torchtext._internal.module_utils import is_module_available
from typing import Union, Tuple
if is_module_available("torchdata"):
from torchdata.datapipes.iter import FileOpener, HttpReader, IterableWrapper
from torchtext.data.datasets_utils import (
_wrap_split_argument,
_add_docstring_header,
_c... | [
"torchdata.datapipes.iter.FileOpener",
"torchdata.datapipes.iter.IterableWrapper",
"torchdata.datapipes.iter.HttpReader"
] | [((101, 133), 'torchtext._internal.module_utils.is_module_available', 'is_module_available', (['"""torchdata"""'], {}), "('torchdata')\n", (120, 133), False, 'from torchtext._internal.module_utils import is_module_available\n'), ((775, 832), 'torchtext.data.datasets_utils._add_docstring_header', '_add_docstring_header'... |
import time
import torch
import torchdata
import torchfunc
from .datasets import ExampleDataset, ExampleIterable
from .utils import artificial_slowdown, enumerate_step, index_is_sample
def test_basic_iterable():
dataset = ExampleIterable(0, 100).map(lambda value: value + 12)
for index, item in enumerate(da... | [
"torchdata.maps.Flatten"
] | [((3190, 3254), 'torch.utils.data.DataLoader', 'torch.utils.data.DataLoader', (['dataset'], {'shuffle': '(True)', 'batch_size': '(3)'}), '(dataset, shuffle=True, batch_size=3)\n', (3217, 3254), False, 'import torch\n'), ((1419, 1436), 'torchfunc.Timer', 'torchfunc.Timer', ([], {}), '()\n', (1434, 1436), False, 'import ... |
from typing import (
Iterator,
Any,
Callable,
Dict,
Iterable,
List,
Optional,
)
import io
import torch
import torch.utils.data.datapipes as dp
from torchdata.datapipes.iter import S3FileLister, S3FileLoader
from torchdata.datapipes.utils import StreamWrapper
from torchrec.datasets.utils imp... | [
"torchdata.datapipes.iter.S3FileLoader",
"torchdata.datapipes.iter.S3FileLister"
] | [((520, 545), 'torchdata.datapipes.iter.S3FileLister', 'S3FileLister', (['s3_prefixes'], {}), '(s3_prefixes)\n', (532, 545), False, 'from torchdata.datapipes.iter import S3FileLister, S3FileLoader\n'), ((560, 584), 'torchdata.datapipes.iter.S3FileLoader', 'S3FileLoader', (['dp_s3_urls'], {}), '(dp_s3_urls)\n', (572, 58... |
import os
from functools import partial
from typing import Union, Tuple
from torchtext._internal.module_utils import is_module_available
from torchtext.data.datasets_utils import (
_wrap_split_argument,
_create_dataset_directory,
)
if is_module_available("torchdata"):
from torchdata.datapipes.iter import ... | [
"torchdata.datapipes.iter.IterableWrapper",
"torchdata.datapipes.iter.FileOpener"
] | [((245, 277), 'torchtext._internal.module_utils.is_module_available', 'is_module_available', (['"""torchdata"""'], {}), "('torchdata')\n", (264, 277), False, 'from torchtext._internal.module_utils import is_module_available\n'), ((866, 918), 'torchtext.data.datasets_utils._create_dataset_directory', '_create_dataset_di... |
import progressbar
import torch
from tele.meter import SumMeter
from torch.autograd import Variable
from torch.utils.data import DataLoader
from torchdata.mpii import MpiiData
from dsnt.data import MPIIDataset
from dsnt.util import timer, type_as_index, reverse_tensor
def generate_predictions(model, dataset, use_fli... | [
"torchdata.mpii.MpiiData"
] | [((537, 547), 'tele.meter.SumMeter', 'SumMeter', ([], {}), '()\n', (545, 547), False, 'from tele.meter import SumMeter\n'), ((597, 660), 'torch.utils.data.DataLoader', 'DataLoader', (['dataset', 'batch_size'], {'num_workers': '(4)', 'pin_memory': '(True)'}), '(dataset, batch_size, num_workers=4, pin_memory=True)\n', (6... |
import os
from typing import Union, Tuple
from torchtext._internal.module_utils import is_module_available
from torchtext.data.datasets_utils import (
_wrap_split_argument,
_create_dataset_directory,
)
if is_module_available("torchdata"):
from torchdata.datapipes.iter import FileOpener, HttpReader, Iterab... | [
"torchdata.datapipes.iter.IterableWrapper",
"torchdata.datapipes.iter.HttpReader",
"torchdata.datapipes.iter.FileOpener"
] | [((215, 247), 'torchtext._internal.module_utils.is_module_available', 'is_module_available', (['"""torchdata"""'], {}), "('torchdata')\n", (234, 247), False, 'from torchtext._internal.module_utils import is_module_available\n'), ((696, 748), 'torchtext.data.datasets_utils._create_dataset_directory', '_create_dataset_di... |
from torchtext._internal.module_utils import is_module_available
if is_module_available("torchdata"):
from torchdata.datapipes.iter import FileOpener, HttpReader, IterableWrapper
import os
from torchtext.data.datasets_utils import (
_wrap_split_argument,
_add_docstring_header,
_create_dataset_director... | [
"torchdata.datapipes.iter.IterableWrapper",
"torchdata.datapipes.iter.HttpReader",
"torchdata.datapipes.iter.FileOpener"
] | [((69, 101), 'torchtext._internal.module_utils.is_module_available', 'is_module_available', (['"""torchdata"""'], {}), "('torchdata')\n", (88, 101), False, 'from torchtext._internal.module_utils import is_module_available\n'), ((794, 836), 'torchtext.data.datasets_utils._add_docstring_header', '_add_docstring_header', ... |
import io
from collections import namedtuple
from typing import Any, Dict, List, Optional, Tuple, Iterator
from torchdata.datapipes.iter import IterDataPipe, Mapper, Zipper
from torchvision.prototype import features
from torchvision.prototype.datasets.utils import (
Dataset,
DatasetConfig,
DatasetInfo,
... | [
"torchdata.datapipes.iter.Mapper",
"torchdata.datapipes.iter.Zipper"
] | [((1123, 1184), 'collections.namedtuple', 'namedtuple', (['"""_Resource"""', "('file_name', 'gdrive_id', 'sha256')"], {}), "('_Resource', ('file_name', 'gdrive_id', 'sha256'))\n", (1133, 1184), False, 'from collections import namedtuple\n'), ((4149, 4178), 'torchdata.datapipes.iter.Zipper', 'Zipper', (['images_dp', 'ta... |
import os
from functools import partial
from torchtext._internal.module_utils import is_module_available
from torchtext.data.datasets_utils import _create_dataset_directory
if is_module_available("torchdata"):
from torchdata.datapipes.iter import FileOpener, IterableWrapper
from torchtext._download_hooks impo... | [
"torchdata.datapipes.iter.IterableWrapper",
"torchdata.datapipes.iter.FileOpener"
] | [((178, 210), 'torchtext._internal.module_utils.is_module_available', 'is_module_available', (['"""torchdata"""'], {}), "('torchdata')\n", (197, 210), False, 'from torchtext._internal.module_utils import is_module_available\n'), ((668, 720), 'torchtext.data.datasets_utils._create_dataset_directory', '_create_dataset_di... |
# Copyright (c) Facebook, Inc. and its affiliates.
import os
from torch.utils.data.dataset import IterableDataset
from torchtext._internal.module_utils import is_module_available
from torchtext.data.datasets_utils import (
_add_docstring_header,
_create_dataset_directory,
_wrap_split_argument,
)
if is_mod... | [
"torchdata.datapipes.iter.IterableWrapper",
"torchdata.datapipes.iter.FileLoader"
] | [((314, 346), 'torchtext._internal.module_utils.is_module_available', 'is_module_available', (['"""torchdata"""'], {}), "('torchdata')\n", (333, 346), False, 'from torchtext._internal.module_utils import is_module_available\n'), ((1378, 1435), 'torchtext.data.datasets_utils._add_docstring_header', '_add_docstring_heade... |
# Copyright (c) Facebook, Inc. and its affiliates.
import os
from torchdata.datapipes.iter import FileOpener, GDriveReader, IterableWrapper
from .utils import _add_docstring_header, _create_dataset_directory, _wrap_split_argument
URL = "https://drive.google.com/uc?export=download&id=0Bz8a_Dbh9QhbaW12WVVZS2drcnM"
M... | [
"torchdata.datapipes.iter.GDriveReader",
"torchdata.datapipes.iter.FileOpener",
"torchdata.datapipes.iter.IterableWrapper"
] | [((499, 554), 'os.path.join', 'os.path.join', (['"""amazon_review_polarity_csv"""', '"""train.csv"""'], {}), "('amazon_review_polarity_csv', 'train.csv')\n", (511, 554), False, 'import os\n'), ((568, 622), 'os.path.join', 'os.path.join', (['"""amazon_review_polarity_csv"""', '"""test.csv"""'], {}), "('amazon_review_pol... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
from io import BytesIO
from typing import Iterator, Tuple
import torchdata
from torchdata.datapipes import fun... | [
"torchdata._torchdata.S3Handler",
"torchdata.datapipes.functional_datapipe"
] | [((442, 480), 'torchdata.datapipes.functional_datapipe', 'functional_datapipe', (['"""list_file_by_s3"""'], {}), "('list_file_by_s3')\n", (461, 480), False, 'from torchdata.datapipes import functional_datapipe\n'), ((3172, 3210), 'torchdata.datapipes.functional_datapipe', 'functional_datapipe', (['"""load_file_by_s3"""... |
import enum
import functools
import io
import pathlib
from typing import Any, Callable, Dict, List, Optional, Tuple
import torch
from torchdata.datapipes.iter import (
IterDataPipe,
Mapper,
Shuffler,
Filter,
IterKeyZipper,
Demultiplexer,
LineReader,
CSVParser,
)
from torchvision.prototy... | [
"torchdata.datapipes.iter.Filter",
"torchdata.datapipes.iter.Shuffler",
"torchdata.datapipes.iter.LineReader",
"torchdata.datapipes.iter.CSVParser",
"torchdata.datapipes.iter.Demultiplexer"
] | [((1203, 1397), 'torchvision.prototype.datasets.utils.HttpResource', 'HttpResource', (['"""https://www.robots.ox.ac.uk/~vgg/data/dtd/download/dtd-r1.0.1.tar.gz"""'], {'sha256': '"""e42855a52a4950a3b59612834602aa253914755c95b0cff9ead6d07395f8e205"""', 'decompress': '(True)'}), "(\n 'https://www.robots.ox.ac.uk/~vgg/d... |
import functools
import io
import os
import os.path
import pathlib
from typing import Callable, Optional, Collection
from typing import Union, Tuple, List, Dict, Any
import torch
from torchdata.datapipes.iter import IterDataPipe, FileLister, FileOpener, Mapper, Shuffler, Filter
from torchvision.prototype.datasets.deco... | [
"torchdata.datapipes.iter.Mapper",
"torchdata.datapipes.iter.Shuffler",
"torchdata.datapipes.iter.FileOpener"
] | [((1848, 1865), 'torchvision.prototype.datasets.utils._internal.hint_sharding', 'hint_sharding', (['dp'], {}), '(dp)\n', (1861, 1865), False, 'from torchvision.prototype.datasets.utils._internal import INFINITE_BUFFER_SIZE, hint_sharding\n'), ((1875, 1921), 'torchdata.datapipes.iter.Shuffler', 'Shuffler', (['dp'], {'bu... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import os
import unittest
import warnings
from functools import partial
import expecttest
import numpy as np
i... | [
"torchdata.datapipes.iter.TFRecordLoader",
"torchdata.datapipes.iter.IterableWrapper",
"torchdata.datapipes.iter.FileOpener"
] | [((1515, 1530), 'torch.no_grad', 'torch.no_grad', ([], {}), '()\n', (1528, 1530), False, 'import torch\n'), ((6173, 6188), 'torch.no_grad', 'torch.no_grad', ([], {}), '()\n', (6186, 6188), False, 'import torch\n'), ((12867, 12882), 'unittest.main', 'unittest.main', ([], {}), '()\n', (12880, 12882), False, 'import unitt... |
import functools
import io
import pathlib
from typing import Any, Callable, Dict, List, Optional, Tuple
import torch
from torchdata.datapipes.iter import IterDataPipe, Mapper, Filter, IterKeyZipper, Demultiplexer, JsonParser, UnBatcher
from torchvision.prototype.datasets.utils import (
Dataset,
DatasetConfig,
... | [
"torchdata.datapipes.iter.JsonParser",
"torchdata.datapipes.iter.Mapper",
"torchdata.datapipes.iter.Demultiplexer",
"torchdata.datapipes.iter.UnBatcher"
] | [((1009, 1156), 'torchvision.prototype.datasets.utils.HttpResource', 'HttpResource', (['"""https://dl.fbaipublicfiles.com/clevr/CLEVR_v1.0.zip"""'], {'sha256': '"""5cd61cf1096ed20944df93c9adb31e74d189b8459a94f54ba00090e5c59936d1"""'}), "('https://dl.fbaipublicfiles.com/clevr/CLEVR_v1.0.zip', sha256=\n '5cd61cf1096ed... |
# Copyright (c) Facebook, Inc. and its affiliates.
import hashlib
import itertools
import lzma
import os
import subprocess
import tarfile
import unittest
import warnings
import zipfile
from json.decoder import JSONDecodeError
import expecttest
from _utils._common_utils_for_test import create_temp_dir, create_temp_fi... | [
"torchdata.datapipes.iter.IoPathFileOpener",
"torchdata.datapipes.iter.Decompressor",
"torchdata.datapipes.iter.TarArchiveLoader",
"torchdata.datapipes.iter.FileOpener",
"torchdata.datapipes.iter.RarArchiveLoader",
"torchdata.datapipes.iter.FileLister",
"torchdata.datapipes.iter.Saver",
"torchdata.dat... | [((802, 846), 'unittest.skipIf', 'unittest.skipIf', (['(not HAS_IOPATH)', '"""no iopath"""'], {}), "(not HAS_IOPATH, 'no iopath')\n", (817, 846), False, 'import unittest\n'), ((1177, 1227), 'unittest.skipIf', 'unittest.skipIf', (['(not HAS_RAR_TOOLS)', '"""no rar tools"""'], {}), "(not HAS_RAR_TOOLS, 'no rar tools')\n"... |
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