python_code stringlengths 0 229k |
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# 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._utils import ExceptionWrapper
class DataLoaderQueueMessage:
pass
class Request(DataLoad... |
# 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 List, Optional, Tuple
# Note [Philox Engine implementation]
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~... |
# 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.random.distributed import dist_share_seed
from torchdata.dataloader2.random.seed_gen... |
# 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 Optional
import torch
import torch.distributed as dist
_HALF_UINT64 = 0x8000000000000000
... |
# 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 Optional, Tuple
import torch
from torchdata.dataloader2.random._philox import PhiloxEngine... |
# 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 import DataChunk, functional_datapipe
from . import iter, map, utils
__all__ = ["DataCh... |
# 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.
###############################################################################
# Reference From PyTorch Core
#... |
# 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 Iterator, Optional, TypeVar
from torch.utils.data.datapipes.iter.sharding import SHARDING_P... |
# 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 re
from typing import Any, Dict, Iterator, List, Union
from torchdata.datapipes import functional_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 lzma
import warnings
from io import BufferedIOBase
from typing import Iterable, Iterator, Tuple
from to... |
# 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 contextlib
import csv
from typing import IO, Iterator, Tuple, TypeVar, Union
from torchdata.datapipes 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 typing import Iterator, Optional, TypeVar
from warnings import warn
from torchdata.datapipes import funct... |
# 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 defaultdict
from typing import Dict, Iterator, List, Union
from torchdata.datapipes 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 os
import sys
import warnings
import zipfile
from io import BufferedIOBase
from typing import cast, IO, ... |
# 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 Dict, Iterator, Tuple, TypeVar
from torchdata.datapipes import functional_datapipe
from tor... |
# 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 typing import Dict, Iterator, Optional, Sized, TypeVar
from torchdata.datapipes.iter import... |
# 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
from io import IOBase
from typing import Dict, Iterator, Tuple, Union
from torchdata.datapipes... |
# 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 warnings
from typing import Callable, Dict, Optional
from torch.utils.data import IterDataPipe, MapDat... |
# 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 warnings
from collections import OrderedDict
from typing import Callable, final, Iterator, List, Option... |
# 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 gzip
import lzma
import os
import pathlib
import tarfile
import zipfile
from enum import Enu... |
# 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
from collections import deque
from typing import Deque, final, Optional, Sized
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 typing import Set, Sized
from torch.utils.data.datapipes._decorator import functional_datapipe
from 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 bz2
import warnings
from io import BufferedIOBase
from typing import Iterable, Iterator, Tuple
from tor... |
# 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, final, Iterator, List, Tuple, TypeVar
from torch.utils.data.datapipes.utils.commo... |
# 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
from collections import deque
from concurrent.futures import Future, ThreadPoolE... |
# 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 typing import Any, Callable, Iterator, Optional, Tuple, Union
from torchdata.datapipes import ... |
# 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.path
from typing import Iterator, Tuple
from unittest.mock import patch
from torchdata.dat... |
# 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 Any, Iterator, List, Optional, Set, Sized, Tuple
from torch.utils.data.datapipes._decorator... |
# 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 json
from typing import Dict, IO, Iterator, Tuple
from torchdata.datapipes import functional_datapipe
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 hashlib
import inspect
import os.path
import sys
import time
import uuid
import warnings
from collectio... |
# 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 Iterator, Optional, TypeVar
from torchdata.datapipes import functional_datapipe
from torchd... |
# 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 functools import partial
from typing import List, Optional, TypeVar
from torch.utils.data.datapipes.utils... |
# 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 struct
import warnings
from functools import partial
from io import BufferedIOBase
from typing import An... |
# 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 re
from typing import Iterator, List
from torchdata.datapipes import functional_datapipe
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 os
import tarfile
import warnings
from io import BufferedIOBase
from typing import cast, IO, Iterable, 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 random
from typing import Dict, final, List, Optional, TypeVar, Union
from torchdata.datapipes import f... |
# type: ignore
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: example.proto
import sys
_b = sys.version_info[0] < 3 and (lambda x: x) or (lambda x: x.encode("latin1"))
from google.protobuf import (
descriptor as _descriptor,
descriptor_pb2,
message as _message,
reflection as _re... |
# 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, List, Tuple, Union
import torchdata
from torch.utils.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 re
import urllib
import warnings
from typing import Any, Dict, Iterator, Optional, Tuple
import request... |
# 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.
from typing import Iterator, Tuple
from torchdata.datapipes import functional_datapipe
from torchdata.datapipe... |
# 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 posixpath
from typing import Any, Callable, Dict, Iterator, List, Optional, Sequence, Tuple, ... |
# 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 Any, Iterator, Tuple
from torchdata.datapipes.iter import IterDataPipe
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 os
from typing import Any, Callable, Iterator, List, Optional, Sequence, Tuple, Union
from torch.utils... |
# 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 inspect
import random
import warnings
from collections import deque
from concurrent 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.
|
# 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 heapq
import random
from dataclasses import dataclass, field
from functools import partial
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.
import collections
def pin_memory_fn(data, device=None):
r"""
Utility function to move data to pinned... |
# 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.datapipes.utils.common import StreamWrapper
from torchdata.datapipes.utils._visualizatio... |
# 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 IOBase
from typing import Tuple
from torchdata.datapipes.utils import StreamWrapper
def valid... |
# 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
from collections import defaultdict
from typing import Optional, Set, TYPE_CHECKING
from tor... |
# 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.utils import StreamWrapper
def janitor(obj):
"""
Invokes various `obj` clean... |
# 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 import MapDataPipe
from torch.utils.data.datapipes.map import Batcher, Concater, Mapper,... |
# 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 List, Optional
from torch.utils.data import IterDataPipe, MapDataPipe
# @functional_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.
|
# 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 Any, Dict, TypeVar
from torchdata.datapipes import functional_datapipe
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.
from typing import Optional, Sequence, TypeVar
from torchdata.datapipes import functional_datapipe
from torchd... |
# 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.
|
# 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.
|
#!/usr/bin/env python3
import typing
from typing import Any, Callable, cast, List, Tuple, Union
import torch
from captum._utils.typing import BaselineType, TargetType, TensorOrTupleOfTensorsGeneric
from captum.attr import (
DeepLift,
GradientShap,
GuidedBackprop,
IntegratedGradients,
Saliency,
)
fr... |
#!/usr/bin/env python3
import typing
from typing import Any, Callable, cast, List, Tuple, Union
import torch
from captum._utils.typing import BaselineType, TargetType, TensorOrTupleOfTensorsGeneric
from captum.attr import (
Attribution,
DeepLift,
FeatureAblation,
IntegratedGradients,
Saliency,
)
fr... |
from unittest.mock import patch
import torch
from captum.insights.attr_vis.features import (
_convert_figure_base64,
EmptyFeature,
FeatureOutput,
GeneralFeature,
ImageFeature,
TextFeature,
)
from matplotlib.figure import Figure
from tests.helpers.basic import BaseTest
class TestTextFeature(Ba... |
#!/usr/bin/env python3
import unittest
from typing import Callable, List, Union
import torch
import torch.nn as nn
from captum.insights import AttributionVisualizer, Batch
from captum.insights.attr_vis.app import FilterConfig
from captum.insights.attr_vis.features import BaseFeature, FeatureOutput, ImageFeature
from ... |
#!/usr/bin/env python3
import collections
from typing import List
import torch
from captum.robust import AttackComparator, FGSM
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
from tests.helpers.basic_models import BasicModel, BasicModel_MultiLayer
from torch import Tensor
def float_metric(model_ou... |
#!/usr/bin/env python3
from typing import Any, Callable, List, Optional, Tuple, Union
import torch
from captum._utils.typing import TensorLikeList, TensorOrTupleOfTensorsGeneric
from captum.robust import FGSM
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
from tests.helpers.basic_models import Basic... |
#!/usr/bin/env python3
from typing import cast, List
import torch
from captum.robust import MinParamPerturbation
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
from tests.helpers.basic_models import BasicModel, BasicModel_MultiLayer
from torch import Tensor
def inp_subtract(inp: Tensor, ind: int =... |
#!/usr/bin/env python3
import torch
from captum.robust import PGD
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
from tests.helpers.basic_models import BasicModel, BasicModel2, BasicModel_MultiLayer
from torch.nn import CrossEntropyLoss
class Test(BaseTest):
def test_attack_nontargeted(self) ->... |
import inspect
import os
import unittest
from functools import partial
from typing import Callable, Iterator, List, Optional, Tuple, Union
import torch
import torch.nn as nn
import torch.nn.functional as F
from captum.influence import DataInfluence
from captum.influence._core.tracincp_fast_rand_proj import (
TracI... |
import tempfile
from typing import Callable
import torch.nn as nn
from captum.influence._core.tracincp import TracInCP
from captum.influence._core.tracincp_fast_rand_proj import (
TracInCPFast,
TracInCPFastRandProj,
)
from parameterized import parameterized
from tests.helpers.basic import assertTensorAlmostEqu... |
import tempfile
from typing import Callable
import torch
import torch.nn as nn
from captum.influence._core.tracincp import TracInCP
from parameterized import parameterized
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
from tests.influence._utils.common import (
_format_batch_into_tuple,
bu... |
import tempfile
from typing import Callable
import torch
import torch.nn as nn
from captum.influence._core.tracincp import TracInCP
from captum.influence._core.tracincp_fast_rand_proj import TracInCPFast
from parameterized import parameterized
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
from test... |
import tempfile
from typing import Callable
import torch.nn as nn
from captum.influence._core.tracincp import TracInCP
from captum.influence._core.tracincp_fast_rand_proj import TracInCPFast
from parameterized import parameterized
from tests.helpers.basic import BaseTest
from tests.influence._utils.common import (
... |
import os
import tempfile
from collections import OrderedDict
from typing import Callable, cast, Optional
import torch
import torch.nn as nn
import torch.nn.functional as F
from captum.influence._core.tracincp import TracInCP
from parameterized import parameterized
from tests.helpers.basic import assertTensorAlmostEqu... |
import os
import tempfile
from typing import Callable, cast, Optional
import torch
import torch.nn as nn
from captum.influence._core.tracincp import TracInCP
from captum.influence._core.tracincp_fast_rand_proj import (
TracInCPFast,
TracInCPFastRandProj,
)
from parameterized import parameterized
from tests.hel... |
import io
import tempfile
import unittest
import unittest.mock
from typing import Callable
import torch.nn as nn
from captum.influence._core.tracincp import TracInCP
from captum.influence._core.tracincp_fast_rand_proj import TracInCPFast
from parameterized import parameterized
from tests.helpers.basic import BaseTest
... |
import tempfile
from typing import Callable
import torch
import torch.nn as nn
from captum.influence._core.tracincp import TracInCP
from captum.influence._core.tracincp_fast_rand_proj import (
TracInCPFast,
TracInCPFastRandProj,
)
from parameterized import parameterized
from tests.helpers.basic import assertT... |
import tempfile
from typing import List
import torch
import torch.nn as nn
from captum.influence._core.similarity_influence import (
cosine_similarity,
euclidean_distance,
SimilarityInfluence,
)
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
from torch.utils.data import Dataset
class B... |
#!/usr/bin/env fbpython
# (c) Meta Platforms, Inc. and affiliates. Confidential and proprietary.
import unittest
import torch
from captum.module.gaussian_stochastic_gates import GaussianStochasticGates
from parameterized import parameterized_class
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
@p... |
#!/usr/bin/env python3
import unittest
import torch
from captum.module.binary_concrete_stochastic_gates import BinaryConcreteStochasticGates
from parameterized import parameterized_class
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
@parameterized_class(
[
{"testing_device": "cpu"},
... |
#!/usr/bin/env python3
from typing import List, Tuple
import torch
from captum._utils.gradient import (
apply_gradient_requirements,
compute_gradients,
compute_layer_gradients_and_eval,
undo_gradient_requirements,
)
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
from tests.helpers.b... |
#!/usr/bin/env python3
from typing import cast, List, Tuple
import torch
from captum._utils.common import (
_format_feature_mask,
_get_max_feature_index,
_parse_version,
_reduce_list,
_select_targets,
_sort_key_list,
safe_div,
)
from tests.helpers.basic import (
assertTensorAlmostEqual... |
#!/usr/bin/env python3
import torch
import torch.nn as nn
from captum._utils.gradient import (
_compute_jacobian_wrt_params,
_compute_jacobian_wrt_params_with_sample_wise_trick,
)
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
from tests.helpers.basic_models import BasicLinearModel2, BasicLi... |
#!/usr/bin/env python3
import io
import unittest
import unittest.mock
from captum._utils.progress import NullProgress, progress
from tests.helpers.basic import BaseTest
class Test(BaseTest):
@unittest.mock.patch("sys.stderr", new_callable=io.StringIO)
def test_nullprogress(self, mock_stderr) -> None:
... |
import glob
import tempfile
from datetime import datetime
from typing import cast, List
import torch
from captum._utils.av import AV
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
from tests.helpers.basic_models import BasicLinearReLULinear
from torch.utils.data import DataLoader, Dataset
DEFAULT_I... |
#!/usr/bin/env python3
import torch
from captum._utils.models.linear_model.model import (
SGDLasso,
SGDLinearRegression,
SGDRidge,
)
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
def _evaluate(test_data, classifier):
classifier.eval()
l1_loss = 0.0
l2_loss = 0.0
n = 0... |
#!/usr/bin/env python3
import torch
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
class HelpersTest(BaseTest):
def test_assert_tensor_almost_equal(self) -> None:
with self.assertRaises(AssertionError) as cm:
assertTensorAlmostEqual(self, [[1.0]], [[1.0]])
self.asse... |
#!/usr/bin/env python3
import unittest
from typing import Callable, Tuple
import torch
from captum._utils.gradient import apply_gradient_requirements
from captum._utils.sample_gradient import (
_reset_sample_grads,
SampleGradientWrapper,
SUPPORTED_MODULES,
)
from packaging import version
from tests.helper... |
import argparse
import random
from typing import Optional
import captum._utils.models.linear_model.model as pytorch_model_module
import numpy as np
import sklearn.datasets as datasets
import torch
from tests.utils.test_linear_model import _evaluate
from torch.utils.data import DataLoader, TensorDataset
def sklearn_d... |
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