depth = 18
r"""Default ResNet architecture (depth)."""

batchnorm = True
r"""Default batch normalization flag in Hypothesis."""

convolution_bias = False
r"""Add biases in convolutions by default in Hypothesis."""

channels = 3
r"""Default number of data channels (e.g., channels in images)."""

dilate = False
r"""Default usage of dilated convolutions."""

in_planes = 64
r"""Default number of input feature maps."""

width_per_group = 64
r"""Default group width."""

groups = 1
r"""Default number of concurrent convolutional groups."""

depth = 18
r"""Default ResNet architecture (depth)."""

batchnorm = True
r"""Default batch normalization flag in Hypothesis."""

convolution_bias = False
r"""Add biases in convolutions by default in Hypothesis."""

channels = 3
r"""Default number of data channels (e.g., channels in images)."""

dilate = False
r"""Default usage of dilated convolutions."""

in_planes = 64
r"""Default number of input feature maps."""

width_per_group = 64
r"""Default group width."""

groups = 1
r"""Default number of concurrent convolutional groups."""

Default ResNet architecture (depth). Default batch normalization flag in Hypothesis. Add biases in convolutions by default in Hypothesis. Default number of data channels (e.g., channels in images). Default usage of dilated convolutions. Default number of input feature maps. Default group width. Default number of concurrent convolutional groups.