Softology:
layer=0_name=conv2d0_pre_relu_channel=0_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=2_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=1_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=3_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=5_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=4_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=7_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=6_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=8_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=10_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=9_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=11_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=12_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=13_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=14_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=16_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=15_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=17_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=18_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=19_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=20_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=21_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=22_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=23_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=24_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=25_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=26_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=27_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=29_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
Softology:
layer=0_name=conv2d0_pre_relu_channel=30_octaves=6_iterations=250_octavescale=1.7_stepsize=1.5
