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vgg_imagenet.py
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vgg_imagenet.py
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_base_ = ['_base_/imagenet.py']
attributor = dict(
type='VisionAttributor',
layer='features.17',
use_softmax=True,
classifier=dict(source='torchvision', type='vgg16', pretrained=True),
feat_iba=dict(
type='VisionFeatureIBA',
input_or_output="output",
active_neurons_threshold=0.01,
initial_alpha=5.0),
input_iba=dict(type='VisionInputIBA', initial_alpha=5.0, sigma=1.0),
gan=dict(
type='VisionWGAN',
generator=dict(type='VisionGenerator'),
discriminator=dict(type='VisionDiscriminator')))
estimation_cfg = dict(
n_samples=1000,
verbose=False,
)
attribution_cfg = dict(
feat_iba=dict(batch_size=10, beta=20, log_every_steps=-1),
gan=dict(
dataset_size=200,
sub_dataset_size=20,
lr=0.00005,
batch_size=32,
weight_clip=0.01,
epochs=20,
critic_iter=5,
verbose=False),
input_iba=dict(
beta=20.0, opt_steps=60, lr=1.0, batch_size=10, log_every_steps=-1),
feat_mask=dict(upscale=True, show=False),
input_mask=dict(show=False))