python_code stringlengths 0 229k |
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import torch
import torchaudio
from torch.utils.mobile_optimizer import optimize_for_mobile
def get_demo_wrapper():
wrapper = torch.jit.load("scripted_wrapper_tuple.pt")
return wrapper
wrapper = get_demo_wrapper()
scripted_model = torch.jit.script(wrapper)
optimized_model = optimize_for_mobile(scripted_model)... |
import pyaudio
import queue
import numpy as np
import torch
import torchaudio
def get_demo_wrapper():
wrapper = torch.jit.load("scripted_wrapper_tuple.pt")
return wrapper
wrapper = get_demo_wrapper()
################################################################
data_queue = queue.Queue()
def callba... |
import torch
import torchvision
from torch.backends._coreml.preprocess import (
CompileSpec,
TensorSpec,
CoreMLComputeUnit,
)
def mobilenetv2_spec():
return {
"forward": CompileSpec(
inputs=(
TensorSpec(
shape=[1, 3, 224, 224],
),... |
import torch
from torch.utils.mobile_optimizer import optimize_for_mobile
model = torch.hub.load('pytorch/vision:v0.11.0', 'deeplabv3_resnet50', pretrained=True)
model.eval()
scripted_module = torch.jit.script(model)
optimized_model = optimize_for_mobile(scripted_module)
optimized_model.save("ImageSegmentation/deepla... |
import torch
from torch import Tensor
from torch.utils.mobile_optimizer import optimize_for_mobile
import torchaudio
from torchaudio.models.wav2vec2.utils.import_huggingface import import_huggingface_model
from transformers import Wav2Vec2ForCTC
# Wav2vec2 model emits sequences of probability (logits) distributions ov... |
import torch
from pytorchvideo.accelerator.deployment.mobile_cpu.utils.model_conversion import (
convert_to_deployable_form,
)
from pytorchvideo.models.accelerator.mobile_cpu.efficient_x3d import EfficientX3d
from torch.hub import load_state_dict_from_url
from torch.utils.mobile_optimizer import (
optimize_for_... |
import torch
from transformers import DistilBertTokenizer, DistilBertForQuestionAnswering
from torch.utils.mobile_optimizer import optimize_for_mobile
tokenizer = DistilBertTokenizer.from_pretrained('distilbert-base-uncased-distilled-squad')
model = DistilBertForQuestionAnswering.from_pretrained('distilbert-base-uncas... |
# based on https://pytorch.org/tutorials/intermediate/seq2seq_translation_tutorial.html
from __future__ import unicode_literals, print_function, division
from io import open
import unicodedata
import string
import re
import random
import torch
import torch.nn as nn
from torch import optim
import torch.nn.functional a... |
import torch
from torch.utils.mobile_optimizer import optimize_for_mobile
model = torch.hub.load('facebookresearch/deit:main', 'deit_base_patch16_224', pretrained=True)
quantized_model = torch.quantization.quantize_dynamic(model, qconfig_spec={torch.nn.Linear}, dtype=torch.qint8)
ts_model = torch.jit.script(quantized_... |
import torch
import torch.nn.functional as F
from torch import nn
from einops import rearrange
class Residual(nn.Module):
def __init__(self, fn):
super().__init__()
self.fn = fn
def forward(self, x, **kwargs):
return self.fn(x, **kwargs) + x
class PreNorm(nn.Module):
def __init__... |
import torch
import torchvision
import time
from vit_pytorch import *
from torch.utils.mobile_optimizer import optimize_for_mobile
torch.manual_seed(42)
DOWNLOAD_PATH = 'data/mnist'
BATCH_SIZE_TRAIN = 100
BATCH_SIZE_TEST = 1000
# 0.1307 and 0.3081 are the mean and std computed on the MNIST training set
transform_mn... |
#!/usr/bin/env python3
import contextlib
import copy
import os
import unittest
from PIL import Image
import torch
from torch.utils.mobile_optimizer import optimize_for_mobile
from d2go.export.api import convert_and_export_predictor
from d2go.export.d2_meta_arch import patch_d2_meta_arch
from d2go.runner import creat... |
import torch
import torchvision
from torch.utils.mobile_optimizer import optimize_for_mobile
model = torchvision.models.quantization.mobilenet_v2(pretrained=True, quantize=True)
model.eval()
example = torch.rand(1, 3, 224, 224)
traced_script_module = torch.jit.trace(model, example)
torchscript_model_optimized = optimi... |
# 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.
|
# 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
from pathlib import Path
from typing import Dict, List, Optional, Set
import torch.utils.data.datapi... |
# 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.
# Scrip can be used with
# find -name '*.py' | grep -v third_party | perl -ne'print "python tools/todo.py $_"' ... |
# 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.
|
# 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 distutils.sysconfig
import os
import platform
import subprocess
import sys
from pathlib import Path
fro... |
# 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 io
import os
import unittest
import expecttest
from torchdata.datapipes.iter import GDriveReader, Iter... |
# 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 unittest
from unittest.mock import MagicMock, patch
import expecttest
from torch.testing._internal.comm... |
# 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
import expecttest
from _utils._common_utils_for_test import create_... |
# 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 unittest
from unittest.mock import patch
import expecttest
from torchdata.datapipes.iter import Huggin... |
# 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 random
import string
import tempfile
import unittest
from torchdata.datapipes.iter import AISFileLister... |
# 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 unittest
from torchdata.dataloader2.linter import _check_shuffle_before_sharding
from torchdata.datap... |
# 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 unittest
from torchdata.dataloader2.random import SeedGenerator
from torchdata.dataloader2.random._phil... |
# 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 asyncio
import io
import itertools
import pickle
import unittest
import warnings
from collections impor... |
# 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 unittest import TestCase
from torchdata.dataloader2 import DataLoader2
from torchdata.dataloader2.adapter... |
# 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 unittest
import torch.multiprocessing as mp
from torch.testing._internal.common_utils import slowTest
... |
# 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 bz2
import functools
import hashlib
import io
import itertools
import lzma
import os
import subprocess
i... |
# 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 sys
import tempfile
import unittest
import torch.multiprocessing as mp
from torch.testing._i... |
# 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 unittest
import expecttest
from torchdata.datapipes.iter import MapToIterConverter
from torchdata.datap... |
# 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 queue
import random
import socket
import sys
import unittest
from functools import partial
f... |
# 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 pickle
import unittest
import warnings
from functools import partial
from io import StringIO
f... |
# 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 types
import unittest
from typing import Dict, Iterator, List, Tuple, TypeVar
import expecttest
from ... |
# 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 torch
from ... |
# 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 io
import json
import os
import subprocess
import unittest
import warnings
from unittest.mock import pat... |
# 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 itertools import chain
import expecttest
from _utils._common_ut... |
# 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.
|
# 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 hashlib
import os
import platform
import sys
import tempfile
from typing import List, Tuple, TypeVar
fr... |
# 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 tarfile
NUMBER_OF_FILES = 3
FILES = [
("bytes", "bt", "{fn}_0123456789abcdef\n", True),
... |
# 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 argparse
import torchdata
import torchdata.dataloader2
import torchdata.datapipes
def s3_test():
... |
# 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 argparse
import torch
import torch.distributed as dist
from torch.distributed.elastic.multiprocessing... |
# 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 multiprocessing as mp
import os
import pickle
import queue
import random
import socket
import unittest
... |
# 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 multiprocessing as mp
import unittest
from unittest import TestCase
from torch.testing._internal.common... |
# 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 random
import unittest
from unittest import TestCase
import numpy as np
import torch
from torch.tes... |
# 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.
# Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most ... |
# 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.
|
# 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.
"""
This file contains the data pipeline to read from a TSV file and output a DataFrame.
"""
from typing impor... |
# 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.
# TODO(597): This file can be moved to the dataframe parent directory once Torcharrow
# is open sourc... |
# 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.
"""
This file contains the data pipeline to read from a Paruet and output a DataFrame.
"""
import torcharrow.d... |
# 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 typing import Callable, List, TypeVar
T = TypeVar("T")
# Criteo Data Set Parameters
INT_FEATURE_COUNT = ... |
# 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.
"""
This file pre-process the source file and save it as a TSV file and a Parquet file.
You do not need to re-r... |
# 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.
|
# 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 http.server
import os
import re
import threading
import torchvision.datasets as datasets
import torchvi... |
# 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
import requests
from torchdata.dataloader2 import DataLoader2, MultiProcessingReadingSe... |
# 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.path
import re
import torch
from torch.utils.data.datapipes.utils.decoder import imagehandler, matha... |
# 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.path
from torch.utils.data.datapipes.utils.decoder import imagehandler
from torchdata.datapipes.ite... |
# 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 functools
import os
from pathlib import Path
from typing import Union
import torchaudio
from torchdat... |
# 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
from functools import partial
from torchdata.datapipes.iter import FileOpener, HttpReader, IterableW... |
# 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
from functools import partial
from pathlib import Path
from torchdata.datapipes.iter import FileOpen... |
# 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.
# The following utility functions are copied from torchtext
# https://github.com/pytorch/text/blob/main/torchte... |
# 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
from functools import partial
from torchdata.datapipes.iter import FileOpener, GDriveReader, Iterabl... |
# 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
from functools import partial
from torchdata.datapipes.iter import FileOpener, HttpReader, IterableW... |
# 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 torchdata.datapipes.iter import HttpReader
from .utils import _add_docstring_header, _create_dataset_dire... |
# 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 torch
import torch.nn as nn
import torchtext
import torchtext.functional as F
import torchtext.transfor... |
# 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 torch
from torchdata.dataloader2 import DataLoader2
from torchdata.datapipes.iter import IterableWrappe... |
# 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 torch
import torch.distributed as dist
from torch import nn
from torchdata.dataloader2 impo... |
# 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 torch
from torchdata.dataloader2 import DataLoader2, MultiProcessingReadingService
from torchdata.data... |
# 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 argparse
import hashlib
import os
import time
from functools import partial
from typing import Callable... |
# 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 torch
from torchvision.transforms import transforms
class ClassificationPresetTrain:
def __init__(... |
# 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 datetime
import errno
import os
import time
from collections import defaultdict, deque
import torch
imp... |
# 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 datetime
import os
import time
import warnings
import helpers
import presets
import torch
import torch.... |
# 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 itertools
import os
import random
from functools import partial
from pathlib import Path
import torch
i... |
# 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.
# This file is adpated from PyTorch Core
# https://github.com/pytorch/pytorch/blob/master/scripts/release_notes... |
# 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.
# This file is adpated from PyTorch Core
# https://github.com/pytorch/pytorch/blob/master/scripts/release_notes... |
# 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 sys
def collect_init_dps(init_file_location):
init_dps = set()
with open(init_file_l... |
# 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.
# Use the same timeout as PyTorch Distributed
default_timeout_in_s = 30 * 60
default_dl2_worker_join_timeout_i... |
# 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 torchdata import _extension # noqa: F401
from . import datapipes
janitor = datapipes.utils.janitor
try... |
# 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 importlib.machinery
import os
from pathlib import Path
_LIB_DIR = Path(__file__).parent
def _init_ex... |
# 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 sys
import traceback
class KeyErrorMessage(str):
r"""str subclass that returns itself in repr"""
... |
# 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 pickle
import warnings
from typing import Any, Dict, Generic, Iterable, Iterator, Optional, TypeVar, Un... |
# 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.
class PauseIteration(StopIteration):
pass
|
# 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 abc import abstractmethod
import torch
from torchdata.dataloader2.graph import DataPipe, traverse_dps
fr... |
# 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 abc
class ShuffleSpec(abc.ABC):
"""Defines a shuffle specification."""
|
# 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 torchdata.dataloader2.dataloader2 import DataLoader2, DataLoader2Iterator
from torchdata.dataloader2.erro... |
# 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 torchdata.dataloader2.graph import DataPipe, DataPipeGraph, traverse_dps
from torchdata.datapipes.iter im... |
# 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 multiprocessing as py_mp
import pickle
import warnings
from abc import ABC, abstractmethod
from datetim... |
# 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 pickle
from torch.utils.data.datapipes.datapipe import (
_DataPipeSerializationWrapper,
_IterD... |
# 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 torch.utils.data.graph import DataPipe, DataPipeGraph, traverse_dps
from torchdata.dataloader2.graph.sett... |
# 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 collections import deque
from typing import Deque, Dict, List, Optional, Set, Type, Union
from torchdata... |
# 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 inspect
from typing import List
from torchdata.dataloader2.graph.utils import DataPipe, find_dps, list... |
# 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 random
from dataclasses import dataclass
from multiprocessing.queues import Queue
from typing import Ca... |
# 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 multiprocessing.queues import Queue
from typing import Dict, List, Optional, Set
from torchdata.datalo... |
# 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 torchdata.dataloader2.utils.worker import process_init_fn, process_reset_fn, WorkerInfo
__all__ = [
... |
# 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 threading
import time
class LocalQueue:
ops = 0
stored = 0
uid = 0
empty = 0
def ... |
# 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 time
import types
import warnings
from collections import deque
from itertools import cycle
from typing... |
# 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 queue import Empty as EmptyException
from torchdata.dataloader2 import communication
class Protocol:
... |
# 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 . import eventloop, iter, map, messages, protocol, queue
|
# 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 time
from itertools import zip_longest
from typing import Dict, List
import torch
from torch.utils.da... |
# 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 time
import types
from torch.utils.data import MapDataPipe
from torchdata._utils import ExceptionWrappe... |
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