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#!/usr/bin/env python3
# Welcome to the PyTorch Captum setup.py.
#
# Environment variables for feature toggles:
#
# BUILD_INSIGHTS
# enables Captum Insights build via yarn
#
import os
import re
import subprocess
import sys
from setuptools import find_packages, setup
REQUIRED_MAJOR = 3
REQUIRED_MINOR = 6
# Ch... |
#!/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... |
#!/usr/bin/env python3
from typing import cast, Tuple, Union
import numpy as np
import torch
from captum._utils.typing import Tensor
from captum.attr._core.gradient_shap import GradientShap
from captum.attr._core.integrated_gradients import IntegratedGradients
from numpy import ndarray
from tests.helpers.basic import... |
#!/usr/bin/env python3
from typing import Any, Callable, cast, Dict, Optional, Tuple, Type
import torch
from captum._utils.common import _format_additional_forward_args
from captum.attr._core.feature_permutation import FeaturePermutation
from captum.attr._core.integrated_gradients import IntegratedGradients
from cap... |
#!/usr/bin/env python3
from typing import Any, cast
import torch
from captum._utils.typing import TensorOrTupleOfTensorsGeneric
from captum.attr._core.input_x_gradient import InputXGradient
from captum.attr._core.noise_tunnel import NoiseTunnel
from tests.attr.test_saliency import _get_basic_config, _get_multiargs_bas... |
#!/usr/bin/env python3
import torch
from captum.attr._core.noise_tunnel import SUPPORTED_NOISE_TUNNEL_TYPES
from captum.attr._utils.common import _validate_input, _validate_noise_tunnel_type
from tests.helpers.basic import BaseTest
class Test(BaseTest):
def test_validate_input(self) -> None:
with self.as... |
#!/usr/bin/env python3
import unittest
from typing import Any
import torch
from captum._utils.typing import TensorOrTupleOfTensorsGeneric
from captum.attr._core.guided_grad_cam import GuidedGradCam
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
from tests.helpers.basic_models import BasicModel_Conv... |
#!/usr/bin/env python3
from enum import Enum
from typing import Any, Callable, cast, Dict, Optional, Tuple, Type
import torch
from captum.attr._core.noise_tunnel import NoiseTunnel
from captum.attr._models.base import _set_deep_layer_value
from captum.attr._utils.attribution import Attribution, InternalAttribution
fr... |
#!/usr/bin/env python3
import functools
import inspect
from typing import Callable, Dict, Tuple
import torch
from captum._utils.gradient import _forward_layer_eval
from captum.attr import (
DeepLift,
DeepLiftShap,
FeatureAblation,
GradientShap,
InputXGradient,
IntegratedGradients,
LayerDee... |
#!/usr/bin/env python3
from typing import Union
import torch
from captum._utils.typing import TargetType
from captum.attr._core.deep_lift import DeepLift, DeepLiftShap
from captum.attr._core.integrated_gradients import IntegratedGradients
from tests.helpers.basic import assertAttributionComparision, BaseTest
from tes... |
#!/usr/bin/env python3
from typing import List, Tuple
import torch
from captum.attr._core.feature_permutation import _permute_feature, FeaturePermutation
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
from tests.helpers.basic_models import BasicModelWithSparseInputs
from torch import Tensor
class ... |
#!/usr/bin/env python3
import torch
from captum.attr import ClassSummarizer, CommonStats
from tests.helpers.basic import BaseTest
class Test(BaseTest):
def class_test(self, data, classes, x_sizes):
summarizer = ClassSummarizer(stats=CommonStats())
for x, y in data:
summarizer.update(x,... |
#!/usr/bin/env python3
import torch
from captum.attr import CommonStats, Summarizer
from tests.helpers.basic import BaseTest
class Test(BaseTest):
def test_single_input(self) -> None:
size = (2, 3)
summarizer = Summarizer(stats=CommonStats())
for _ in range(10):
attrs = torch.r... |
#!/usr/bin/env python3
import copy
import os
from enum import Enum
from typing import Any, Callable, cast, Dict, Optional, Tuple, Type
import torch
import torch.distributed as dist
from captum.attr._core.guided_grad_cam import GuidedGradCam
from captum.attr._core.layer.layer_deep_lift import LayerDeepLift, LayerDeepLi... |
#!/usr/bin/env python3
import io
import unittest
import unittest.mock
from functools import partial
from typing import Any, Callable, Generator, List, Optional, Tuple, Union
import torch
from captum._utils.models.linear_model import SGDLasso, SkLearnLasso
from captum._utils.models.model import Model
from captum._util... |
#!/usr/bin/env python3
import unittest
from enum import Enum
from typing import Any, Callable, cast, Dict, Tuple, Type
import torch
from captum._utils.common import (
_format_additional_forward_args,
_format_tensor_into_tuples,
)
from captum.attr._core.feature_ablation import FeatureAblation
from captum.attr._... |
#!/usr/bin/env python3
from inspect import signature
from typing import Callable, List, Tuple, Union
import torch
from captum.attr._core.deep_lift import DeepLift, DeepLiftShap
from captum.attr._core.integrated_gradients import IntegratedGradients
from tests.helpers.basic import (
assertAttributionComparision,
... |
#!/usr/bin/env python3
from __future__ import print_function
import unittest
from typing import Any, Tuple, Union
import torch
from captum._utils.typing import TensorOrTupleOfTensorsGeneric
from captum.attr._core.guided_backprop_deconvnet import Deconvolution
from captum.attr._core.neuron.neuron_guided_backprop_deco... |
#!/usr/bin/env python3
import io
import unittest
import unittest.mock
from typing import Any, Callable, Tuple, Union
import torch
from captum._utils.typing import (
BaselineType,
TargetType,
TensorLikeList,
TensorOrTupleOfTensorsGeneric,
)
from captum.attr._core.occlusion import Occlusion
from tests.he... |
#!/usr/bin/env python3
from typing import Any, cast, Tuple, Union
import torch
from captum._utils.gradient import compute_gradients
from captum._utils.typing import TensorOrTupleOfTensorsGeneric
from captum.attr._core.noise_tunnel import NoiseTunnel
from captum.attr._core.saliency import Saliency
from tests.helpers.ba... |
#!/usr/bin/env python3
import random
import torch
from captum.attr import Max, Mean, Min, MSE, StdDev, Sum, Summarizer, Var
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
def get_values(n=100, lo=None, hi=None, integers=False):
for _ in range(n):
if integers:
yield random.r... |
#!/usr/bin/env python3
import io
import unittest
import unittest.mock
from typing import Any, Callable, List, Tuple, Union
import torch
from captum._utils.typing import BaselineType, TensorOrTupleOfTensorsGeneric
from captum.attr._core.kernel_shap import KernelShap
from tests.helpers.basic import (
assertTensorAl... |
#!/usr/bin/env python3
import unittest
from typing import Any, cast, Tuple, Union
import torch
from captum._utils.common import _zeros
from captum._utils.typing import BaselineType, Tensor, TensorOrTupleOfTensorsGeneric
from captum.attr._core.integrated_gradients import IntegratedGradients
from captum.attr._core.nois... |
#!/usr/bin/env python3
import io
import unittest
import unittest.mock
from typing import Any, Callable, Tuple, Union
import torch
from captum._utils.typing import BaselineType, TensorOrTupleOfTensorsGeneric
from captum.attr._core.shapley_value import ShapleyValues, ShapleyValueSampling
from tests.helpers.basic import... |
#!/usr/bin/env python3
import unittest
import torch
from captum._utils.typing import BaselineType, Tensor
from captum.attr._core.integrated_gradients import IntegratedGradients
from captum.attr._core.noise_tunnel import NoiseTunnel
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
from tests.helpers.c... |
#!/usr/bin/env python3
import torch
from captum.attr._utils.batching import (
_batched_generator,
_batched_operator,
_tuple_splice_range,
)
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
class Test(BaseTest):
def test_tuple_splice_range(self) -> None:
test_tuple = (
... |
#!/usr/bin/env python3
import unittest
from typing import Any, List, Tuple, Union
import torch
from captum._utils.typing import TensorLikeList, TensorOrTupleOfTensorsGeneric
from captum.attr._core.guided_backprop_deconvnet import GuidedBackprop
from captum.attr._core.neuron.neuron_guided_backprop_deconvnet import (
... |
#!/usr/bin/env python3
from typing import cast, Tuple
import torch
import torch.nn as nn
from captum.attr import InputXGradient, LRP
from captum.attr._utils.lrp_rules import (
Alpha1_Beta0_Rule,
EpsilonRule,
GammaRule,
IdentityRule,
)
from tests.helpers.basic import assertTensorAlmostEqual, BaseTest
fr... |
#!/usr/bin/env python3
import io
import unittest
import unittest.mock
from typing import Any, cast, List, Tuple, Union
import torch
from captum._utils.typing import BaselineType, TargetType, TensorOrTupleOfTensorsGeneric
from captum.attr._core.feature_ablation import FeatureAblation
from captum.attr._core.noise_tunne... |
#!/usr/bin/env fbpython
import math
from typing import cast
from unittest.mock import Mock, patch
import torch
from captum.attr._core.dataloader_attr import DataLoaderAttribution, InputRole
from captum.attr._core.feature_ablation import FeatureAblation
from parameterized import parameterized
from tests.helpers.basic ... |
#!/usr/bin/env python3
import unittest
from typing import List
import torch
from captum.attr._utils.approximation_methods import Riemann, riemann_builders
from tests.helpers.basic import assertTensorAlmostEqual
class Test(unittest.TestCase):
def __init__(self, methodName: str = "runTest") -> None:
super... |
#!/usr/bin/env python3
import unittest
from typing import Any, Callable, cast, List, Tuple, Union
import torch
from captum._utils.typing import BaselineType, TensorOrTupleOfTensorsGeneric
from captum.attr._core.layer.layer_conductance import LayerConductance
from captum.attr._core.neuron.neuron_conductance import Neu... |
#!/usr/bin/env python3
from __future__ import print_function
from typing import Tuple, Union
import torch
from captum._utils.typing import TensorOrTupleOfTensorsGeneric
from captum.attr._core.neuron.neuron_deep_lift import NeuronDeepLift, NeuronDeepLiftShap
from tests.attr.layer.test_layer_deeplift import (
_cre... |
#!/usr/bin/env python3
import unittest
from typing import Any, Callable, Tuple, Union
import torch
from captum._utils.typing import TensorLikeList, TensorOrTupleOfTensorsGeneric
from captum.attr._core.integrated_gradients import IntegratedGradients
from captum.attr._core.neuron.neuron_integrated_gradients import (
... |
#!/usr/bin/env python3
import unittest
from typing import Any, Callable, cast, List, Tuple, Union
import torch
from captum._utils.gradient import _forward_layer_eval
from captum._utils.typing import TensorOrTupleOfTensorsGeneric
from captum.attr._core.neuron.neuron_gradient import NeuronGradient
from captum.attr._cor... |
#!/usr/bin/env python3
import unittest
from typing import Any, Callable, Tuple, Union
import torch
from captum._utils.typing import (
BaselineType,
TensorLikeList,
TensorOrTupleOfTensorsGeneric,
)
from captum.attr._core.neuron.neuron_feature_ablation import NeuronFeatureAblation
from tests.helpers.basic i... |
#!/usr/bin/env python3
from typing import Callable, Tuple, Union
import torch
from captum.attr._core.neuron.neuron_gradient_shap import NeuronGradientShap
from captum.attr._core.neuron.neuron_integrated_gradients import (
NeuronIntegratedGradients,
)
from tests.helpers.basic import assertTensorAlmostEqual, BaseTes... |
#!/usr/bin/env python3
from __future__ import print_function
import os
import tempfile
import unittest
from typing import Dict, List
import torch
HAS_PYTEXT = True
try:
from captum.attr._models.pytext import (
BaselineGenerator,
configure_model_integ_grads_embeddings,
)
from pytext.commo... |
#!/usr/bin/env python3
from __future__ import print_function
import unittest
import torch
from captum.attr._models.base import (
configure_interpretable_embedding_layer,
InterpretableEmbeddingBase,
remove_interpretable_embedding_layer,
)
from tests.helpers.basic import assertTensorAlmostEqual
from tests.... |
#!/usr/bin/env python3
from typing import Any, cast, List, Tuple, Union
import torch
from captum.attr._core.integrated_gradients import IntegratedGradients
from captum.attr._core.layer.layer_activation import LayerActivation
from captum.attr._core.layer.layer_conductance import LayerConductance
from captum.attr._core... |
#!/usr/bin/env python3
import unittest
from typing import Any, Tuple, Union
import torch
from captum._utils.typing import TensorLikeList
from captum.attr._core.layer.grad_cam import LayerGradCam
from tests.helpers.basic import assertTensorTuplesAlmostEqual, BaseTest
from tests.helpers.basic_models import (
BasicM... |
#!/usr/bin/env python3
from __future__ import print_function
from typing import cast, List, Tuple, Union
import torch
from captum.attr._core.layer.layer_deep_lift import LayerDeepLift, LayerDeepLiftShap
from tests.helpers.basic import (
assert_delta,
assertTensorAlmostEqual,
assertTensorTuplesAlmostEqual... |
#!/usr/bin/env python3
import unittest
from typing import Any, List, Tuple, Union
import torch
from captum._utils.typing import BaselineType
from captum.attr._core.layer.layer_feature_ablation import LayerFeatureAblation
from tests.helpers.basic import assertTensorTuplesAlmostEqual, BaseTest
from tests.helpers.basic_... |
#!/usr/bin/env python3
import torch
import torch.nn as nn
from captum.attr import LayerLRP
from captum.attr._utils.lrp_rules import Alpha1_Beta0_Rule, EpsilonRule, GammaRule
from ...helpers.basic import assertTensorAlmostEqual, BaseTest
from ...helpers.basic_models import BasicModel_ConvNet_One_Conv, SimpleLRPModel
... |
#!/usr/bin/env python3
import unittest
from typing import Any, List, Tuple, Union
import torch
from captum._utils.typing import ModuleOrModuleList
from captum.attr._core.layer.layer_activation import LayerActivation
from captum.attr._core.layer.layer_gradient_x_activation import LayerGradientXActivation
from tests.hel... |
#!/usr/bin/env python3
import unittest
from typing import Any, cast, List, Tuple, Union
import torch
from captum._utils.typing import BaselineType
from captum.attr._core.layer.layer_conductance import LayerConductance
from tests.attr.helpers.conductance_reference import ConductanceReference
from tests.helpers.basic i... |
#!/usr/bin/env python3
import unittest
from typing import Any, List, Tuple, Union
import torch
from captum._utils.typing import BaselineType
from captum.attr._core.layer.internal_influence import InternalInfluence
from tests.helpers.basic import assertTensorTuplesAlmostEqual, BaseTest
from tests.helpers.basic_models i... |
#!/usr/bin/env python3
import unittest
from typing import Any, List, Tuple, Union
import torch
import torch.nn as nn
from captum.attr._core.layer.layer_activation import LayerActivation
from tests.helpers.basic import (
assertTensorAlmostEqual,
assertTensorTuplesAlmostEqual,
BaseTest,
)
from tests.helpers... |
#!/usr/bin/env python3
from typing import Any, Callable, List, Tuple, Union
import torch
from captum._utils.typing import TargetType, TensorOrTupleOfTensorsGeneric
from captum.attr._core.gradient_shap import GradientShap
from captum.attr._core.layer.layer_gradient_shap import LayerGradientShap
from tests.attr.test_gra... |
#!/usr/bin/env python3
import torch
from captum.attr._core.deep_lift import DeepLift, DeepLiftShap
from captum.attr._core.feature_ablation import FeatureAblation
from captum.attr._core.feature_permutation import FeaturePermutation
from captum.attr._core.gradient_shap import GradientShap
from captum.attr._core.guided_b... |
#!/usr/bin/env python3
import typing
from typing import Any, cast, Dict, List, Tuple, Type, Union
from captum.attr._core.lime import Lime
from captum.attr._models.base import _get_deep_layer_name
from captum.attr._utils.attribution import Attribution
from torch.nn import Module
def gen_test_name(
prefix: str, t... |
#!/usr/bin/env python3
import numpy as np
import torch
from captum._utils.gradient import (
apply_gradient_requirements,
undo_gradient_requirements,
)
from captum.attr._utils.approximation_methods import approximation_parameters
from captum.attr._utils.attribution import LayerAttribution
from captum.attr._utils... |
#!/usr/bin/env python3import
from typing import cast, Iterable
import torch
from captum.concept._core.concept import Concept
from captum.concept._utils.data_iterator import dataset_to_dataloader
from tests.helpers.basic import BaseTest
from torch.utils.data import IterableDataset
class CustomIterableDataset(Iterabl... |
#!/usr/bin/env python3import
import glob
import os
import tempfile
import unittest
from collections import defaultdict, OrderedDict
from typing import (
Any,
Callable,
cast,
Dict,
Iterable,
Iterator,
List,
Set,
Tuple,
Union,
)
import torch
from captum._utils.av import AV
from c... |
#!/usr/bin/env python3
import torch
import torch.nn as nn
class SigmoidModel(nn.Module):
"""
Model architecture from:
https://medium.com/coinmonks/create-a-neural-network-in
-pytorch-and-make-your-life-simpler-ec5367895199
"""
def __init__(self, num_in, num_hidden, num_out) -> None:
... |
#!/usr/bin/env python3
from typing import no_type_check, Optional, Tuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import Tensor
"""
@no_type_check annotation is applied to type-hinted models to avoid errors
related to mismatch with parent (nn.Module) signature. # type_ignore is n... |
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