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bugs.txt
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bugs.txt
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<genome.Genome object at 0x7ff47c44d190 | trained=0, optimizer=<optimizer.ADAMGene object at 0x7ff47d7c3890 | log_learning_rate=-1.67, log_weight_decay=-8.14>, nodes=[<Node | ID = 0, depth=0.00, merge=padding, size=None>, <Node | ID = 1, depth=1.00, merge=padding, size=None>, <Node | ID = 2, depth=2.00, merge=avgsample, size=None>, <Node | ID = 134, depth=0.50, merge=padding, size=None>, <Node | ID = 10, depth=0.50, merge=upsample, size=None>, <Node | ID = 20, depth=1.00, merge=avgsample, size=None>, <Node | ID = 218, depth=1.01, merge=avgsample, size=None>], genes=[<gene.KernelGene object at 0x7ff47cffb510 |True| ID = 3 (0->1) size=5*4, depth_change=0, str=1, pad=0, d_mult=1>, <gene.DenseGene object at 0x7ff47cffb5d0 |True| ID = 4 (1->2) size_change=-4, activation=tanh>, <gene.KernelGene object at 0x7ff47cffb710 |False| ID = 135 (0->134) size=4*3, depth_change=0, str=1, pad=0, d_mult=1>, <gene.PoolGene object at 0x7ff47cffb490 |False| ID = 136 (134->1) pool=max, size=7*5, str=1, pad=0>, <gene.KernelGene object at 0x7ff47cffb4d0 |True| ID = 11 (0->10) size=2*4, depth_change=2, str=3, pad=1, d_mult=2>, <gene.KernelGene object at 0x7ff4a23a76d0 |True| ID = 12 (10->1) size=5*3, depth_change=-2, str=1, pad=1, d_mult=1>, <gene.DenseGene object at 0x7ff5117e6d50 |False| ID = 19 (0->2) size_change=-4, activation=tanh>, <gene.DenseGene object at 0x7ff4a2091950 |False| ID = 21 (0->20) size_change=+7, activation=tanh>, <gene.DenseGene object at 0x7ff4a2091b50 |False| ID = 22 (20->2) size_change=+5, activation=tanh>, <gene.KernelGene object at 0x7ff47cffb090 |False| ID = 23 (0->2) size=3*4, depth_change=0, str=1, pad=0, d_mult=1>, <gene.KernelGene object at 0x7ff4a1dc2250 |True| ID = 29 (10->2) size=2*3, depth_change=-2, str=1, pad=0, d_mult=1>, <gene.PoolGene object at 0x7ff4a1dc21d0 |False| ID = 30 (1->20) pool=max, size=1*5, str=1, pad=0>, <gene.PoolGene object at 0x7ff47c44d890 |True| ID = 219 (1->218) pool=max, size=1*5, str=1, pad=0>, <gene.KernelGene object at 0x7ff47c44d690 |True| ID = 220 (218->20) size=3*5, depth_change=1, str=1, pad=0, d_mult=1>]>
Bug removed
<genome.Genome object at 0x7fd1903fd990 | trained=0, optimizer=<optimizer.SGDGene object at 0x7fd191ed5bd0 | log_learning_rate=-7.70, mom=0.48, log_weight_decay=-5.64>, nodes=[<Node | ID = 0, depth=0.00, merge=padding, size=None>, <Node | ID = 1, depth=1.00, merge=downsample, size=None>, <Node | ID = 2, depth=2.00, merge=padding, size=None>, <Node | ID = 33, depth=0.50, merge=upsample, size=None>, <Node | ID = 5, depth=0.50, merge=padding, size=None>, <Node | ID = 71, depth=1.01, merge=upsample, size=None>, <Node | ID = 49, depth=0.50, merge=padding, size=None>, <Node | ID = 86, depth=0.50, merge=downsample, size=None>, <Node | ID = 116, depth=0.50, merge=downsample, size=None>], genes=[<gene.KernelGene object at 0x7fd19163b4d0 |False| ID = 3 (0->1) size=3*1, depth_change=3, str=1, pad=0, d_mult=3>, <gene.DenseGene object at 0x7fd19163bad0 |True| ID = 4 (1->2) size_change=+4, activation=relu>, <gene.KernelGene object at 0x7fd19163b0d0 |False| ID = 6 (0->5) size=6*5, depth_change=6, str=2, pad=0, d_mult=2>, <gene.KernelGene object at 0x7fd191657890 |True| ID = 7 (5->1) size=3*5, depth_change=0, str=2, pad=0, d_mult=5>, <gene.KernelGene object at 0x7fd191621b10 |False| ID = 72 (0->71) size=7*6, depth_change=2, str=3, pad=0, d_mult=1>, <gene.PoolGene object at 0x7fd191621f10 |False| ID = 73 (71->2) pool=avg, size=6*7, str=2, pad=1>, <gene.DenseGene object at 0x7fd1903fd510 |True| ID = 17 (0->2) size_change=+14, activation=relu>, <gene.KernelGene object at 0x7fd1903fd490 |True| ID = 21 (0->2) size=6*4, depth_change=0, str=1, pad=0, d_mult=1>, <gene.KernelGene object at 0x7fd1903fd4d0 |False| ID = 87 (0->86) size=7*6, depth_change=2, str=3, pad=0, d_mult=1>, <gene.KernelGene object at 0x7fd191621e10 |True| ID = 88 (86->71) size=4*1, depth_change=3, str=1, pad=0, d_mult=2>, <gene.PoolGene object at 0x7fd1903fd550 |False| ID = 96 (1->71) pool=avg, size=1*3, str=1, pad=0>, <gene.KernelGene object at 0x7fd1903fd590 |True| ID = 34 (0->33) size=4*2, depth_change=0, str=1, pad=1, d_mult=2>, <gene.KernelGene object at 0x7fd1903fd5d0 |True| ID = 35 (33->1) size=5*4, depth_change=1, str=3, pad=0, d_mult=1>, <gene.PoolGene object at 0x7fd1903fd650 |False| ID = 47 (5->2) pool=max, size=5*5, str=1, pad=0>, <gene.DenseGene object at 0x7fd1903fd610 |False| ID = 48 (5->33) size_change=-15, activation=tanh>, <gene.DenseGene object at 0x7fd1903fd690 |True| ID = 50 (5->49) size_change=-19, activation=tanh>, <gene.DenseGene object at 0x7fd1903fd6d0 |True| ID = 51 (49->33) size_change=-13, activation=tanh>, <gene.DenseGene object at 0x7fd1903fd710 |False| ID = 56 (33->2) size_change=-26, activation=tanh>, <gene.KernelGene object at 0x7fd1903fdc50 |True| ID = 115 (0->49) size=3*3, depth_change=2, str=1, pad=0, d_mult=2>, <gene.KernelGene object at 0x7fd1903fdd10 |True| ID = 117 (0->116) size=3*1, depth_change=3, str=1, pad=0, d_mult=3>, <gene.KernelGene object at 0x7fd1903fdcd0 |True| ID = 118 (116->1) size=5*4, depth_change=1, str=1, pad=0, d_mult=1>]>
Bug removed
<genome.Genome object at 0x7f2ee6fb47d0 | trained=0, optimizer=<optimizer.SGDGene object at 0x7f2ee6f33550 | log_learning_rate=-6.84, mom=0.78, log_weight_decay=-4.87>, nodes=[<Node | ID = 0, depth=0.00, merge=downsample, size=None>, <Node | ID = 1, depth=1.00, merge=upsample, size=None>, <Node | ID = 2, depth=2.00, merge=avgsample, size=None>, <Node | ID = 64, depth=0.74, merge=downsample, size=None>, <Node | ID = 9, depth=0.51, merge=avgsample, size=None>, <Node | ID = 79, depth=1.50, merge=downsample, size=None>, <Node | ID = 31, depth=1.50, merge=downsample, size=None>, <Node | ID = 131, depth=0.78, merge=avgsample, size=None>], genes=[<gene.DenseGene object at 0x7f2ee6f73fd0 |True| ID = 32 (1->31) size_change=+1, activation=relu>, <gene.DenseGene object at 0x7f2eec04d150 |True| ID = 33 (31->2) size_change=+1, activation=relu>, <gene.PoolGene object at 0x7f2eec04d890 |False| ID = 65 (9->64) pool=avg, size=1*3, str=1, pad=0>, <gene.KernelGene object at 0x7f2eec04d310 |True| ID = 3 (0->1) size=1*3, depth_change=2, str=1, pad=0, d_mult=2>, <gene.DenseGene object at 0x7f2ee6fb4d10 |True| ID = 4 (1->2) size_change=+20, activation=relu>, <gene.PoolGene object at 0x7f2ee6fb4cd0 |False| ID = 66 (64->1) pool=avg, size=2*1, str=2, pad=0>, <gene.KernelGene object at 0x7f2ee6fb4590 |True| ID = 10 (0->9) size=3*5, depth_change=2, str=1, pad=0, d_mult=2>, <gene.KernelGene object at 0x7f2ee6fb4410 |False| ID = 11 (9->1) size=5*5, depth_change=5, str=1, pad=0, d_mult=1>, <gene.DenseGene object at 0x7f2ee6fb4310 |True| ID = 80 (1->79) size_change=+20, activation=relu>, <gene.DenseGene object at 0x7f2ee6fb4d50 |False| ID = 81 (79->2) size_change=+7, activation=tanh>, <gene.KernelGene object at 0x7f2ee6fb4bd0 |False| ID = 19 (0->2) size=3*5, depth_change=1, str=1, pad=0, d_mult=1>, <gene.PoolGene object at 0x7f2ee6fb4a10 |False| ID = 24 (9->2) pool=avg, size=5*3, str=1, pad=0>, <gene.KernelGene object at 0x7f2ee6fb4810 |True| ID = 132 (9->131) size=5*5, depth_change=5, str=1, pad=0, d_mult=1>, <gene.PoolGene object at 0x7f2ee6fb4f50 |True| ID = 133 (131->1) pool=max, size=3*5, str=1, pad=0>]>
To much memory
<genome.Genome object at 0x7fd75c8c3b10 | optimizer=<optimizer.ADAMGene object at 0x7fd75c836a10 | log_learning_rate=-12.13, log_weight_decay=-7.10>, nodes=[<Node | ID = 0, depth=0.00, merge=downsample, size=None>, <Node | ID = 1, depth=1.00, merge=avgsample, size=None>, <Node | ID = 2, depth=2.00, merge=padding, size=None>, <Node | ID = 131, depth=0.49, merge=padding, size=None>, <Node | ID = 258, depth=0.49, merge=padding, size=None>, <Node | ID = 411, depth=0.49, merge=padding, size=None>, <Node | ID = 528, depth=0.24, merge=downsample, size=None>], genes=[<gene.KernelGene object at 0x7fd75c8c3810 |False| ID = 259 (0->258) size=3*5, depth_change=0, str=3, pad=0, d_mult=1>, <gene.KernelGene object at 0x7fd75c8c3490 |True| ID = 132 (0->131) size=5*3, depth_change=0, str=1, pad=0, d_mult=1>, <gene.KernelGene object at 0x7fd75c8c3190 |True| ID = 3 (0->1) size=3*5, depth_change=0, str=2, pad=0, d_mult=2>, <gene.DenseGene object at 0x7fd75c8c34d0 |True| ID = 4 (1->2) size_change=+15, activation=tanh>, <gene.PoolGene object at 0x7fd75c8c3210 |True| ID = 133 (131->1) pool=avg, size=1*2, str=1, pad=0>, <gene.PoolGene object at 0x7fd75c8c3f50 |True| ID = 260 (258->1) pool=max, size=3*7, str=1, pad=0>, <gene.KernelGene object at 0x7fd75c8c30d0 |False| ID = 412 (0->411) size=3*5, depth_change=0, str=2, pad=0, d_mult=2>, <gene.PoolGene object at 0x7fd75c8c33d0 |True| ID = 413 (411->1) pool=max, size=7*3, str=1, pad=0>, <gene.KernelGene object at 0x7fd75c8c3690 |True| ID = 529 (0->528) size=3*5, depth_change=0, str=3, pad=0, d_mult=1>, <gene.PoolGene object at 0x7fd75c8c3790 |True| ID = 530 (528->258) pool=avg, size=5*4, str=1, pad=0>, <gene.PoolGene object at 0x7fd75c8c3f90 |True| ID = 531 (528->1) pool=avg, size=4*5, str=1, pad=0>]>
Could not reproduce
<genome.Genome object at 0x7f793d776810 | trained=0, optimizer=<optimizer.ADAMGene object at 0x7f793d7f5650 | log_learning_rate=-7.41, log_weight_decay=-2.86>, nodes=[<Node | ID = 0, depth=0.00, merge=downsample, size=None>, <Node | ID = 1, depth=1.00, merge=avgsample, size=None>, <Node | ID = 2, depth=2.00, merge=downsample, size=None>, <Node | ID = 5, depth=0.49, merge=downsample, size=None>, <Node | ID = 103, depth=0.75, merge=padding, size=None>], genes=[<gene.KernelGene object at 0x7f793d7764d0 |True| ID = 3 (0->1) size=4*4, depth_change=3, str=1, pad=0, d_mult=1>, <gene.DenseGene object at 0x7f793d776510 |True| ID = 4 (1->2) size_change=+18, activation=relu>, <gene.KernelGene object at 0x7f793d776590 |True| ID = 6 (0->5) size=4*4, depth_change=4, str=4, pad=0, d_mult=1>, <gene.PoolGene object at 0x7f793d776550 |False| ID = 7 (5->1) pool=avg, size=7*7, str=1, pad=0>, <gene.KernelGene object at 0x7f793d776790 |False| ID = 22 (5->2) size=4*5, depth_change=1, str=1, pad=0, d_mult=2>, <gene.PoolGene object at 0x7f793d7769d0 |True| ID = 104 (5->103) pool=avg, size=7*7, str=1, pad=0>, <gene.KernelGene object at 0x7f793d776b50 |True| ID = 105 (103->1) size=5*4, depth_change=0, str=1, pad=0, d_mult=1>]>
Could not reproduce
<genome.Genome object at 0x00000279B5282908 | trained=0, optimizer=<optimizer.SGDGene object at 0x00000279B5360A88 | log_learning_rate=-3.36, mom=0.66, log_weight_decay=-0.53>, nodes=[<Node | ID = 0, depth=0.00, merge=padding, size=None>, <Node | ID = 1, depth=1.00, merge=upsample, size=None>, <Node | ID = 2, depth=2.00, merge=upsample, size=None>, <Node | ID = 33, depth=1.74, merge=avgsample, size=None>, <Node | ID = 5, depth=1.50, merge=avgsample, size=None>, <Node | ID = 39, depth=1.26, merge=upsample, size=None>, <Node | ID = 48, depth=1.39, merge=padding, size=None>, <Node | ID = 51, depth=1.13, merge=padding, size=None>], genes=[<gene.KernelGene object at 0x00000279B528F088 |True| ID = 3 (0->1) size=3*5, depth_change=5, str=1, pad=0, d_mult=1>, <gene.DenseGene object at 0x00000279B528FDC8 |True| ID = 4 (1->2) size_change=-2, activation=tanh>, <gene.DenseGene object at 0x00000279B528FA88 |True| ID = 6 (1->5) size_change=+0, activation=tanh>, <gene.DenseGene object at 0x00000279B528F908 |True| ID = 7 (5->2) size_change=+11, activation=tanh>, <gene.KernelGene object at 0x00000279B528FC48 |False| ID = 14 (0->5) size=5*4, depth_change=0, str=1, pad=0, d_mult=2>, <gene.DenseGene object at 0x00000279B528FD48 |True| ID = 34 (5->33) size_change=+16, activation=tanh>, <gene.DenseGene object at 0x00000279B51E9E48 |True| ID = 35 (33->2) size_change=-1, activation=tanh>, <gene.DenseGene object at 0x00000279B51EEE08 |True| ID = 40 (1->39) size_change=+14, activation=tanh>, <gene.DenseGene object at 0x00000279B51DAD88 |True| ID = 41 (39->5) size_change=+14, activation=tanh>, <gene.DenseGene object at 0x00000279B528F408 |True| ID = 49 (39->48) size_change=+12, activation=tanh>, <gene.DenseGene object at 0x00000279B5350288 |True| ID = 50 (48->5) size_change=+17, activation=relu>, <gene.DenseGene object at 0x00000279B5350048 |False| ID = 52 (1->51) size_change=+2, activation=relu>, <gene.DenseGene object at 0x00000279B5350688 |True| ID = 53 (51->39) size_change=+4, activation=relu>]>
Could not reproduce