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@enijkamp
Created May 15, 2018 09:59
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/home/enijkamp/env/tf/bin/python3 /home/enijkamp/Dropbox/repeller-sgd/experiments/cyclic/cyclic_9.py
2018-05-15 01:55:34,154 - cyclic_9
2018-05-15 01:55:34,156 - loading ../../resnet_cifar100/model_2/model.ckpt-156280
2018-05-15 01:55:34.156473: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-05-15 01:55:34.273215: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-05-15 01:55:34.273501: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1344] Found device 0 with properties:
name: TITAN X (Pascal) major: 6 minor: 1 memoryClockRate(GHz): 1.531
pciBusID: 0000:02:00.0
totalMemory: 11.90GiB freeMemory: 11.54GiB
2018-05-15 01:55:34.325401: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:898] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2018-05-15 01:55:34.325627: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1344] Found device 1 with properties:
name: GeForce GTX 660 Ti major: 3 minor: 0 memoryClockRate(GHz): 1.124
pciBusID: 0000:01:00.0
totalMemory: 2.94GiB freeMemory: 1.85GiB
2018-05-15 01:55:34.325645: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1394] Ignoring visible gpu device (device: 1, name: GeForce GTX 660 Ti, pci bus id: 0000:01:00.0, compute capability: 3.0) with Cuda compute capability 3.0. The minimum required Cuda capability is 3.5.
2018-05-15 01:55:34.325648: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1423] Adding visible gpu devices: 0
2018-05-15 01:55:34.499502: I tensorflow/core/common_runtime/gpu/gpu_device.cc:911] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-05-15 01:55:34.499519: I tensorflow/core/common_runtime/gpu/gpu_device.cc:917] 0 1
2018-05-15 01:55:34.499523: I tensorflow/core/common_runtime/gpu/gpu_device.cc:930] 0: N N
2018-05-15 01:55:34.499525: I tensorflow/core/common_runtime/gpu/gpu_device.cc:930] 1: N N
2018-05-15 01:55:34.499674: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1041] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11179 MB memory) -> physical GPU (device: 0, name: TITAN X (Pascal), pci bus id: 0000:02:00.0, compute capability: 6.1)
2018-05-15 01:55:37,013 - Restoring parameters from ../../resnet_cifar100/model_2/model.ckpt-156280
2018-05-15 01:55:37,373 - conv2d_w
2018-05-15 01:55:37,373 - conv2d_w_1
2018-05-15 01:55:37,373 - batch_normalization_offset
2018-05-15 01:55:37,373 - batch_normalization_scales
2018-05-15 01:55:37,373 - conv2d_w_2
2018-05-15 01:55:37,373 - batch_normalization_offset_1
2018-05-15 01:55:37,373 - batch_normalization_scales_1
2018-05-15 01:55:37,373 - conv2d_w_3
2018-05-15 01:55:37,373 - batch_normalization_offset_2
2018-05-15 01:55:37,373 - batch_normalization_scales_2
2018-05-15 01:55:37,373 - conv2d_w_4
2018-05-15 01:55:37,373 - batch_normalization_offset_3
2018-05-15 01:55:37,373 - batch_normalization_scales_3
2018-05-15 01:55:37,373 - conv2d_w_5
2018-05-15 01:55:37,373 - batch_normalization_offset_4
2018-05-15 01:55:37,373 - batch_normalization_scales_4
2018-05-15 01:55:37,373 - conv2d_w_6
2018-05-15 01:55:37,373 - batch_normalization_offset_5
2018-05-15 01:55:37,373 - batch_normalization_scales_5
2018-05-15 01:55:37,373 - conv2d_w_7
2018-05-15 01:55:37,374 - batch_normalization_offset_6
2018-05-15 01:55:37,374 - batch_normalization_scales_6
2018-05-15 01:55:37,374 - conv2d_w_8
2018-05-15 01:55:37,374 - batch_normalization_offset_7
2018-05-15 01:55:37,374 - batch_normalization_scales_7
2018-05-15 01:55:37,374 - conv2d_w_9
2018-05-15 01:55:37,374 - batch_normalization_offset_8
2018-05-15 01:55:37,374 - batch_normalization_scales_8
2018-05-15 01:55:37,374 - conv2d_w_10
2018-05-15 01:55:37,374 - batch_normalization_offset_9
2018-05-15 01:55:37,374 - batch_normalization_scales_9
2018-05-15 01:55:37,374 - conv2d_w_11
2018-05-15 01:55:37,374 - batch_normalization_offset_10
2018-05-15 01:55:37,374 - batch_normalization_scales_10
2018-05-15 01:55:37,374 - conv2d_w_12
2018-05-15 01:55:37,374 - batch_normalization_offset_11
2018-05-15 01:55:37,374 - batch_normalization_scales_11
2018-05-15 01:55:37,374 - conv2d_w_13
2018-05-15 01:55:37,374 - batch_normalization_offset_12
2018-05-15 01:55:37,374 - batch_normalization_scales_12
2018-05-15 01:55:37,374 - conv2d_w_14
2018-05-15 01:55:37,374 - batch_normalization_offset_13
2018-05-15 01:55:37,374 - batch_normalization_scales_13
2018-05-15 01:55:37,374 - conv2d_w_15
2018-05-15 01:55:37,374 - batch_normalization_offset_14
2018-05-15 01:55:37,374 - batch_normalization_scales_14
2018-05-15 01:55:37,374 - conv2d_w_16
2018-05-15 01:55:37,374 - batch_normalization_offset_15
2018-05-15 01:55:37,374 - batch_normalization_scales_15
2018-05-15 01:55:37,374 - conv2d_w_17
2018-05-15 01:55:37,374 - batch_normalization_offset_16
2018-05-15 01:55:37,375 - batch_normalization_scales_16
2018-05-15 01:55:37,375 - conv2d_w_18
2018-05-15 01:55:37,375 - batch_normalization_offset_17
2018-05-15 01:55:37,375 - batch_normalization_scales_17
2018-05-15 01:55:37,375 - conv2d_w_19
2018-05-15 01:55:37,375 - batch_normalization_offset_18
2018-05-15 01:55:37,375 - batch_normalization_scales_18
2018-05-15 01:55:37,375 - conv2d_w_20
2018-05-15 01:55:37,375 - batch_normalization_offset_19
2018-05-15 01:55:37,375 - batch_normalization_scales_19
2018-05-15 01:55:37,375 - conv2d_w_21
2018-05-15 01:55:37,375 - batch_normalization_offset_20
2018-05-15 01:55:37,375 - batch_normalization_scales_20
2018-05-15 01:55:37,375 - conv2d_w_22
2018-05-15 01:55:37,375 - batch_normalization_offset_21
2018-05-15 01:55:37,375 - batch_normalization_scales_21
2018-05-15 01:55:37,375 - conv2d_w_23
2018-05-15 01:55:37,375 - batch_normalization_offset_22
2018-05-15 01:55:37,375 - batch_normalization_scales_22
2018-05-15 01:55:37,375 - conv2d_w_24
2018-05-15 01:55:37,375 - batch_normalization_offset_23
2018-05-15 01:55:37,375 - batch_normalization_scales_23
2018-05-15 01:55:37,375 - conv2d_w_25
2018-05-15 01:55:37,375 - batch_normalization_offset_24
2018-05-15 01:55:37,375 - batch_normalization_scales_24
2018-05-15 01:55:37,375 - conv2d_w_26
2018-05-15 01:55:37,375 - batch_normalization_offset_25
2018-05-15 01:55:37,375 - batch_normalization_scales_25
2018-05-15 01:55:37,375 - conv2d_w_27
2018-05-15 01:55:37,375 - batch_normalization_offset_26
2018-05-15 01:55:37,375 - batch_normalization_scales_26
2018-05-15 01:55:37,376 - conv2d_w_28
2018-05-15 01:55:37,376 - batch_normalization_offset_27
2018-05-15 01:55:37,376 - batch_normalization_scales_27
2018-05-15 01:55:37,376 - conv2d_w_29
2018-05-15 01:55:37,376 - batch_normalization_offset_28
2018-05-15 01:55:37,376 - batch_normalization_scales_28
2018-05-15 01:55:37,376 - conv2d_w_30
2018-05-15 01:55:37,376 - batch_normalization_offset_29
2018-05-15 01:55:37,376 - batch_normalization_scales_29
2018-05-15 01:55:37,376 - conv2d_w_31
2018-05-15 01:55:37,376 - batch_normalization_offset_30
2018-05-15 01:55:37,376 - batch_normalization_scales_30
2018-05-15 01:55:37,376 - conv2d_w_32
2018-05-15 01:55:37,376 - batch_normalization_offset_31
2018-05-15 01:55:37,376 - batch_normalization_scales_31
2018-05-15 01:55:37,376 - conv2d_w_33
2018-05-15 01:55:37,376 - batch_normalization_offset_32
2018-05-15 01:55:37,376 - batch_normalization_scales_32
2018-05-15 01:55:37,376 - batch_normalization_offset_33
2018-05-15 01:55:37,376 - batch_normalization_scales_33
2018-05-15 01:55:37,376 - final_dense/fcl_weights
2018-05-15 01:55:37,376 - fcl_biases
2018-05-15 01:55:37.488074: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1394] Ignoring visible gpu device (device: 1, name: GeForce GTX 660 Ti, pci bus id: 0000:01:00.0, compute capability: 3.0) with Cuda compute capability 3.0. The minimum required Cuda capability is 3.5.
2018-05-15 01:55:37.488095: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1423] Adding visible gpu devices: 0
2018-05-15 01:55:37.488120: I tensorflow/core/common_runtime/gpu/gpu_device.cc:911] Device interconnect StreamExecutor with strength 1 edge matrix:
2018-05-15 01:55:37.488125: I tensorflow/core/common_runtime/gpu/gpu_device.cc:917] 0 1
2018-05-15 01:55:37.488130: I tensorflow/core/common_runtime/gpu/gpu_device.cc:930] 0: N N
2018-05-15 01:55:37.488133: I tensorflow/core/common_runtime/gpu/gpu_device.cc:930] 1: N N
2018-05-15 01:55:37.488233: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1041] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 11179 MB memory) -> physical GPU (device: 0, name: TITAN X (Pascal), pci bus id: 0000:02:00.0, compute capability: 6.1)
2018-05-15 01:56:07,411 - sgd
2018-05-15 01:56:46,619 - step 0 . c=0.06938145 d(w0,w1)=0.11036328 d(w0,w_avg)=0.11036328 t=2.35801339 c0=1.72033861 c1=1.72070680 c_avg=1.72070680 a0=0.63750000 a1=0.63720000 a_avg=0.63720000 a_avg-a0=-0.00030000
2018-05-15 01:56:46,619 - step 0 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 01:56:46,619 - step 0 . eig1: [ -0.0030 +0.1349 -0.2505 -0.6382 +0.7550 -0.9886 +1.5663 +2.3744 +3.4557 +4.3722]
2018-05-15 01:56:46,619 - step 0 . eig_avg:[ -0.0035 +0.1266 -0.2579 -0.6482 +0.7567 -1.1651 +1.5852 +2.3925 +3.4558 +4.2733]
2018-05-15 01:57:48,581 - step 500 . c=0.22160953 d(w0,w1)=24.31311035 d(w0,w_avg)=13.14036655 t=69.10028386 c0=1.72033861 c1=1.78423100 c_avg=1.69333541 a0=0.63750000 a1=0.61930000 a_avg=0.63800000 a_avg-a0=0.00050000
2018-05-15 01:57:48,581 - step 500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 01:57:48,581 - step 500 . eig1: [ -0.0009 +0.2655 -0.2776 -0.8720 +1.2293 -1.5705 -2.1752 +2.2492 +3.4009 +4.4816]
2018-05-15 01:57:48,581 - step 500 . eig_avg:[ -0.0040 +0.1479 -0.3016 -0.8276 +0.8449 -1.3079 -1.7266 +1.7744 +2.6586 +3.5929]
2018-05-15 01:58:51,647 - step 1000 . c=0.25812602 d(w0,w1)=31.63500404 d(w0,w_avg)=17.77311325 t=62.58401036 c0=1.72033861 c1=1.74844295 c_avg=1.66084360 a0=0.63750000 a1=0.62040000 a_avg=0.64100000 a_avg-a0=0.00350000
2018-05-15 01:58:51,647 - step 1000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 01:58:51,647 - step 1000 . eig1: [ -0.0026 +0.1903 -0.2634 -0.7492 +0.9391 -1.2744 -1.5992 +1.8031 +2.7257 +3.6535]
2018-05-15 01:58:51,647 - step 1000 . eig_avg:[ +0.0117 -0.0628 +0.4263 -0.4574 -0.8391 -1.1756 +1.1840 +1.9161 +2.9064 +3.5946]
2018-05-15 01:59:54,934 - step 1500 . c=0.19849750 d(w0,w1)=36.84613800 d(w0,w_avg)=20.92074966 t=63.13342524 c0=1.72033861 c1=1.74214813 c_avg=1.64149558 a0=0.63750000 a1=0.62080000 a_avg=0.64330000 a_avg-a0=0.00580000
2018-05-15 01:59:54,935 - step 1500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 01:59:54,935 - step 1500 . eig1: [ +0.0114 -0.0952 +0.4564 -0.5796 -1.1089 +1.4331 -1.6053 +2.3683 +3.4040 +4.4578]
2018-05-15 01:59:54,935 - step 1500 . eig_avg:[ +0.0140 -0.0497 +0.4243 -0.4343 -0.8329 +1.1636 -1.3550 +1.9642 +2.7989 +3.6650]
2018-05-15 02:00:58,015 - step 2000 . c=0.24448299 d(w0,w1)=40.82098389 d(w0,w_avg)=23.46255112 t=63.58556867 c0=1.72033861 c1=1.75376615 c_avg=1.63366876 a0=0.63750000 a1=0.61890000 a_avg=0.64320000 a_avg-a0=0.00570000
2018-05-15 02:00:58,015 - step 2000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:00:58,015 - step 2000 . eig1: [ -0.0001 -0.2339 +0.2526 -0.7831 +1.1053 -1.3051 -2.0668 +2.1237 +3.2107 +4.1697]
2018-05-15 02:00:58,015 - step 2000 . eig_avg:[ +0.0148 -0.0425 -0.3947 +0.4066 -0.7972 +1.1188 -1.2172 +1.8696 +2.6123 +3.5687]
2018-05-15 02:02:00,058 - step 2500 . c=0.27675769 d(w0,w1)=44.41772079 d(w0,w_avg)=25.63316917 t=62.47517323 c0=1.72033861 c1=1.73655044 c_avg=1.62757462 a0=0.63750000 a1=0.62640000 a_avg=0.64410000 a_avg-a0=0.00660000
2018-05-15 02:02:00,058 - step 2500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:02:00,058 - step 2500 . eig1: [ +0.0004 -0.2044 +0.2412 -0.6843 +1.0172 -1.1628 -1.7913 +1.8790 +2.7847 +3.6578]
2018-05-15 02:02:00,058 - step 2500 . eig_avg:[ +0.0073 -0.0728 +0.3389 -0.4337 -0.8982 +1.0246 -1.3438 +1.7772 +2.6039 +3.4417]
2018-05-15 02:03:01,724 - step 3000 . c=0.26917940 d(w0,w1)=47.72277069 d(w0,w_avg)=27.57321930 t=61.68322015 c0=1.72033861 c1=1.76384939 c_avg=1.62449416 a0=0.63750000 a1=0.62030000 a_avg=0.64390000 a_avg-a0=0.00640000
2018-05-15 02:03:01,724 - step 3000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:03:01,724 - step 3000 . eig1: [ +0.0250 -0.0450 -0.5130 +0.5867 -1.0278 +1.4174 -1.5524 +2.3862 +3.3207 -3.6637]
2018-05-15 02:03:01,724 - step 3000 . eig_avg:[ +0.0098 -0.0558 +0.3669 -0.4002 -0.9341 +1.0678 -1.2746 +1.7889 +2.5832 +3.4576]
2018-05-15 02:04:03,821 - step 3500 . c=0.22162375 d(w0,w1)=50.74367905 d(w0,w_avg)=29.35497284 t=61.93744588 c0=1.72033861 c1=1.75494844 c_avg=1.62370359 a0=0.63750000 a1=0.61870000 a_avg=0.64410000 a_avg-a0=0.00660000
2018-05-15 02:04:03,821 - step 3500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:04:03,821 - step 3500 . eig1: [ -0.0024 +0.1942 -0.2723 -0.7640 +1.0041 -1.2757 +1.8997 +3.0545 -3.9378 +4.0677]
2018-05-15 02:04:03,821 - step 3500 . eig_avg:[ +0.0042 -0.1029 +0.2952 -0.4894 -1.0032 +1.0104 -1.3323 +1.6822 +2.4769 +3.3392]
2018-05-15 02:05:06,070 - step 4000 . c=0.22768152 d(w0,w1)=53.53450775 d(w0,w_avg)=31.00089645 t=62.30114508 c0=1.72033861 c1=1.77181092 c_avg=1.62133243 a0=0.63750000 a1=0.62460000 a_avg=0.64630000 a_avg-a0=0.00880000
2018-05-15 02:05:06,070 - step 4000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:05:06,070 - step 4000 . eig1: [ +0.0071 -0.1220 +0.4478 -0.6689 -1.3917 +1.4649 -1.7012 +2.4870 +3.6552 +4.7069]
2018-05-15 02:05:06,071 - step 4000 . eig_avg:[ +0.0051 -0.0863 +0.2932 -0.4474 -0.8215 +0.9433 -1.0692 +1.6321 +2.3805 +3.1040]
2018-05-15 02:06:08,433 - step 4500 . c=0.20778826 d(w0,w1)=56.41680908 d(w0,w_avg)=32.55428314 t=62.14765310 c0=1.72033861 c1=1.76434593 c_avg=1.62084152 a0=0.63750000 a1=0.62700000 a_avg=0.64660000 a_avg-a0=0.00910000
2018-05-15 02:06:08,433 - step 4500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:06:08,433 - step 4500 . eig1: [ +0.0007 -0.1960 +0.2423 -0.6798 +0.9920 -1.1237 -1.6290 +1.7805 +2.7005 +3.7101]
2018-05-15 02:06:08,433 - step 4500 . eig_avg:[ -0.0188 +0.0278 -0.3244 +0.4293 -0.6542 -1.0416 +1.1010 +1.8699 +2.5479 +3.3453]
2018-05-15 02:07:10,759 - step 5000 . c=0.12606040 d(w0,w1)=59.22668457 d(w0,w_avg)=34.06221390 t=62.43014956 c0=1.72033861 c1=1.77359994 c_avg=1.62127874 a0=0.63750000 a1=0.62530000 a_avg=0.64660000 a_avg-a0=0.00910000
2018-05-15 02:07:10,759 - step 5000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:07:10,759 - step 5000 . eig1: [ +0.0037 -0.1432 +0.3159 -0.6311 +1.1254 -1.1783 -1.4033 +1.9854 +2.9368 +3.9483]
2018-05-15 02:07:10,759 - step 5000 . eig_avg:[ -0.0078 +0.0585 -0.2558 +0.5056 -0.5516 -0.8490 +1.1008 +1.8085 +2.6106 +3.3024]
2018-05-15 02:08:13,148 - step 5500 . c=0.19367240 d(w0,w1)=61.65911865 d(w0,w_avg)=35.52005768 t=62.41860104 c0=1.72033861 c1=1.79791347 c_avg=1.62151478 a0=0.63750000 a1=0.61870000 a_avg=0.64670000 a_avg-a0=0.00920000
2018-05-15 02:08:13,148 - step 5500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:08:13,148 - step 5500 . eig1: [ +0.0011 -0.1870 +0.2515 -0.6842 +0.9954 -1.1944 -1.4700 +1.9211 +2.8227 +3.6939]
2018-05-15 02:08:13,148 - step 5500 . eig_avg:[ -0.0041 +0.0860 -0.2087 -0.4915 +0.5340 -0.7940 +1.1595 +1.8246 +2.5657 +3.3290]
2018-05-15 02:09:15,454 - step 6000 . c=0.17064056 d(w0,w1)=64.22423553 d(w0,w_avg)=36.93142700 t=62.40765977 c0=1.72033861 c1=1.79547788 c_avg=1.62454313 a0=0.63750000 a1=0.62300000 a_avg=0.64630000 a_avg-a0=0.00880000
2018-05-15 02:09:15,454 - step 6000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:09:15,454 - step 6000 . eig1: [ -0.0199 +0.0422 -0.3606 +0.5278 -0.7366 -0.9756 +1.3338 +2.1656 +2.9289 +3.8329]
2018-05-15 02:09:15,454 - step 6000 . eig_avg:[ +0.0141 -0.0335 -0.3438 +0.3602 -0.7222 -0.8922 +0.9738 +1.6199 +2.3090 +3.0267]
2018-05-15 02:10:17,983 - step 6500 . c=0.17915960 d(w0,w1)=66.58415222 d(w0,w_avg)=38.29165649 t=62.22742033 c0=1.72033861 c1=1.80762837 c_avg=1.62692816 a0=0.63750000 a1=0.62400000 a_avg=0.64730000 a_avg-a0=0.00980000
2018-05-15 02:10:17,983 - step 6500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:10:17,983 - step 6500 . eig1: [ -0.0035 +0.1428 -0.2548 -0.6799 +0.7651 -0.9997 +1.5796 +2.4254 -2.6937 +3.2782]
2018-05-15 02:10:17,983 - step 6500 . eig_avg:[ -0.0151 +0.0301 -0.2871 +0.4062 -0.5913 -0.8598 +1.0507 +1.6321 +2.3221 +3.0200]
2018-05-15 02:11:20,348 - step 7000 . c=0.14056495 d(w0,w1)=69.14558411 d(w0,w_avg)=39.63713837 t=62.41708374 c0=1.72033861 c1=1.80798885 c_avg=1.62914368 a0=0.63750000 a1=0.62500000 a_avg=0.64900000 a_avg-a0=0.01150000
2018-05-15 02:11:20,348 - step 7000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:11:20,349 - step 7000 . eig1: [ +0.0071 -0.1010 +0.3932 -0.5767 -1.0593 +1.1910 -1.3608 +2.0728 +2.9510 +4.0229]
2018-05-15 02:11:20,349 - step 7000 . eig_avg:[ -0.0068 +0.0581 -0.2401 +0.4690 -0.5285 -0.7475 +1.0768 +1.6582 +2.4107 +3.2041]
2018-05-15 02:12:22,838 - step 7500 . c=0.12920839 d(w0,w1)=71.59810638 d(w0,w_avg)=40.95260620 t=62.54302168 c0=1.72033861 c1=1.85099879 c_avg=1.63182992 a0=0.63750000 a1=0.62400000 a_avg=0.64880000 a_avg-a0=0.01130000
2018-05-15 02:12:22,838 - step 7500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:12:22,838 - step 7500 . eig1: [ -0.0090 +0.0872 -0.3791 +0.8066 -0.9055 -1.4679 +1.8835 +2.9682 +4.0065 +5.1100]
2018-05-15 02:12:22,839 - step 7500 . eig_avg:[ +0.0163 -0.0278 -0.3334 +0.3774 -0.6713 -0.9119 +0.9990 +1.6451 +2.3917 +3.0003]
2018-05-15 02:13:25,349 - step 8000 . c=0.18349680 d(w0,w1)=73.70211792 d(w0,w_avg)=42.23596191 t=62.55671668 c0=1.72033861 c1=1.82868623 c_avg=1.63392948 a0=0.63750000 a1=0.62500000 a_avg=0.64920000 a_avg-a0=0.01170000
2018-05-15 02:13:25,349 - step 8000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:13:25,349 - step 8000 . eig1: [ -0.0019 +0.1773 -0.2419 -0.7039 +0.8900 -1.2454 -1.6836 +1.7893 +2.5814 +3.5717]
2018-05-15 02:13:25,349 - step 8000 . eig_avg:[ +0.0122 -0.0355 -0.3556 +0.3639 -0.6514 +0.9789 -0.9985 +1.5947 +2.3187 +3.0639]
2018-05-15 02:14:27,613 - step 8500 . c=0.24882191 d(w0,w1)=76.11583710 d(w0,w_avg)=43.50617218 t=62.23026800 c0=1.72033861 c1=1.85237818 c_avg=1.63645638 a0=0.63750000 a1=0.62400000 a_avg=0.64820000 a_avg-a0=0.01070000
2018-05-15 02:14:27,613 - step 8500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:14:27,614 - step 8500 . eig1: [ +0.0083 -0.0887 +0.3869 -0.5227 -0.9827 +1.1521 -1.2523 +2.0392 +2.9577 +3.7774]
2018-05-15 02:14:27,614 - step 8500 . eig_avg:[ -0.0074 +0.0527 -0.2518 +0.4650 -0.5525 -0.8297 +1.0911 +1.7781 +2.4483 +3.1099]
2018-05-15 02:15:29,787 - step 9000 . c=0.21653308 d(w0,w1)=78.43393707 d(w0,w_avg)=44.75760651 t=62.33272457 c0=1.72033861 c1=1.84161753 c_avg=1.63860716 a0=0.63750000 a1=0.62420000 a_avg=0.64820000 a_avg-a0=0.01070000
2018-05-15 02:15:29,787 - step 9000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:15:29,787 - step 9000 . eig1: [ +0.0071 -0.0859 +0.3637 -0.4925 -0.9046 +1.1065 -1.1630 +1.9465 +2.6940 +3.5543]
2018-05-15 02:15:29,787 - step 9000 . eig_avg:[ +0.0179 -0.0241 -0.3357 +0.4032 -0.6635 -0.9073 +1.0252 +1.7214 +2.4433 +3.1380]
2018-05-15 02:16:32,206 - step 9500 . c=0.25143400 d(w0,w1)=80.80551910 d(w0,w_avg)=45.99914169 t=62.19749403 c0=1.72033861 c1=1.89714348 c_avg=1.64121631 a0=0.63750000 a1=0.61690000 a_avg=0.64850000 a_avg-a0=0.01100000
2018-05-15 02:16:32,206 - step 9500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:16:32,206 - step 9500 . eig1: [ +0.0007 -0.1789 +0.2271 -0.6265 +0.9512 -1.1653 -1.6159 +1.7734 +2.5852 +3.5349]
2018-05-15 02:16:32,206 - step 9500 . eig_avg:[ -0.0130 +0.0327 -0.2953 +0.4591 -0.6694 -0.9704 +1.0944 +1.7636 +2.4418 +3.1722]
2018-05-15 02:17:34,572 - step 10000 . c=0.15655228 d(w0,w1)=82.91296387 d(w0,w_avg)=47.22396851 t=62.46639729 c0=1.72033861 c1=1.85057068 c_avg=1.64451320 a0=0.63750000 a1=0.62600000 a_avg=0.64850000 a_avg-a0=0.01100000
2018-05-15 02:17:34,572 - step 10000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:17:34,572 - step 10000 . eig1: [ +0.0020 -0.1628 +0.2683 -0.6288 +0.9872 -1.0487 -1.5357 +1.8869 +2.8120 +3.7048]
2018-05-15 02:17:34,572 - step 10000 . eig_avg:[ +0.0171 -0.0248 -0.3422 +0.4099 -0.8147 -0.9866 +1.0293 +1.7318 +2.5411 +3.2945]
2018-05-15 02:18:37,228 - step 10500 . c=0.20296316 d(w0,w1)=84.98845673 d(w0,w_avg)=48.43273544 t=62.49992490 c0=1.72033861 c1=1.86706025 c_avg=1.64790067 a0=0.63750000 a1=0.62620000 a_avg=0.64950000 a_avg-a0=0.01200000
2018-05-15 02:18:37,228 - step 10500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:18:37,228 - step 10500 . eig1: [ +0.0041 -0.1253 +0.3207 -0.5725 -1.0199 +1.1366 -1.6491 +1.9690 +2.9072 +3.8288]
2018-05-15 02:18:37,228 - step 10500 . eig_avg:[ -0.0094 +0.0428 -0.2995 +0.4976 -0.6625 -0.9959 +1.1500 +1.8460 +2.5895 +3.3576]
2018-05-15 02:19:40,025 - step 11000 . c=0.15057476 d(w0,w1)=87.17318726 d(w0,w_avg)=49.62415695 t=62.87731051 c0=1.72033861 c1=1.86735417 c_avg=1.65150684 a0=0.63750000 a1=0.62920000 a_avg=0.64870000 a_avg-a0=0.01120000
2018-05-15 02:19:40,025 - step 11000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:19:40,025 - step 11000 . eig1: [ +0.0029 -0.1434 +0.2997 -0.5971 -1.0585 +1.0656 -1.4908 +1.9100 +2.8775 +3.6891]
2018-05-15 02:19:40,025 - step 11000 . eig_avg:[ +0.0089 -0.0454 +0.3666 -0.3829 -0.8648 -1.0510 +1.0552 +1.7075 +2.5201 +3.3074]
2018-05-15 02:20:42,664 - step 11500 . c=0.15156558 d(w0,w1)=89.37004089 d(w0,w_avg)=50.80746460 t=62.50519276 c0=1.72033861 c1=1.90130032 c_avg=1.65507291 a0=0.63750000 a1=0.62520000 a_avg=0.64820000 a_avg-a0=0.01070000
2018-05-15 02:20:42,664 - step 11500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:20:42,664 - step 11500 . eig1: [ -0.0099 +0.0640 -0.3258 +0.5960 -0.6725 -1.4176 +1.4196 +2.2357 +3.2619 +4.0523]
2018-05-15 02:20:42,664 - step 11500 . eig_avg:[ -0.0122 +0.0323 -0.2901 +0.4743 -0.6690 -1.0761 +1.1290 +1.7470 +2.5824 +3.2684]
2018-05-15 02:21:44,963 - step 12000 . c=0.16707675 d(w0,w1)=91.55797577 d(w0,w_avg)=51.98298264 t=62.57058382 c0=1.72033861 c1=1.89417809 c_avg=1.65865256 a0=0.63750000 a1=0.62430000 a_avg=0.64780000 a_avg-a0=0.01030000
2018-05-15 02:21:44,963 - step 12000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:21:44,963 - step 12000 . eig1: [ +0.0040 -0.1202 +0.3144 -0.5660 -1.0553 +1.0782 -1.3326 +1.8884 +2.8377 +3.7260]
2018-05-15 02:21:44,964 - step 12000 . eig_avg:[ +0.0156 -0.0248 -0.3356 +0.3816 -0.6583 +1.0262 -1.0339 +1.7003 +2.4845 +3.1356]
2018-05-15 02:22:47,407 - step 12500 . c=0.15951541 d(w0,w1)=93.78407288 d(w0,w_avg)=53.14945221 t=62.40143299 c0=1.72033861 c1=1.90015849 c_avg=1.66247991 a0=0.63750000 a1=0.62070000 a_avg=0.64810000 a_avg-a0=0.01060000
2018-05-15 02:22:47,407 - step 12500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:22:47,407 - step 12500 . eig1: [ +0.0015 -0.1580 +0.2480 -0.5558 -0.9044 +1.0262 +1.8205 +2.8551 +3.9577 +5.0036]
2018-05-15 02:22:47,407 - step 12500 . eig_avg:[ +0.0110 -0.0347 -0.3573 +0.3734 -0.7565 +1.0018 -1.0539 +1.5782 +2.4568 +3.2956]
2018-05-15 02:23:49,785 - step 13000 . c=0.13861461 d(w0,w1)=95.79575348 d(w0,w_avg)=54.30920792 t=62.38629889 c0=1.72033861 c1=1.89364833 c_avg=1.66595842 a0=0.63750000 a1=0.62530000 a_avg=0.64830000 a_avg-a0=0.01080000
2018-05-15 02:23:49,786 - step 13000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:23:49,786 - step 13000 . eig1: [ +0.0139 -0.0457 -0.4354 +0.4595 -0.8766 -1.2168 +1.2188 +2.0454 +2.9234 +3.8532]
2018-05-15 02:23:49,786 - step 13000 . eig_avg:[ +0.0170 -0.0221 -0.3082 +0.3919 -0.6798 +0.9958 -1.0424 +1.7048 +2.4102 +3.0157]
2018-05-15 02:24:52,349 - step 13500 . c=0.18412977 d(w0,w1)=97.81687927 d(w0,w_avg)=55.46041107 t=62.34828424 c0=1.72033861 c1=1.89782127 c_avg=1.66885747 a0=0.63750000 a1=0.62090000 a_avg=0.64880000 a_avg-a0=0.01130000
2018-05-15 02:24:52,349 - step 13500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:24:52,349 - step 13500 . eig1: [ -0.0006 +0.2005 -0.2107 -0.6606 +0.9429 -1.3701 +1.7865 -2.1619 +2.7118 +3.5606]
2018-05-15 02:24:52,349 - step 13500 . eig_avg:[ +0.0111 -0.0341 -0.3471 +0.3690 -0.7130 +0.9792 -1.0197 +1.6073 +2.3812 +3.1387]
2018-05-15 02:25:54,863 - step 14000 . c=0.17972562 d(w0,w1)=99.82933807 d(w0,w_avg)=56.59901428 t=62.65476656 c0=1.72033861 c1=1.92421409 c_avg=1.67237436 a0=0.63750000 a1=0.61830000 a_avg=0.64840000 a_avg-a0=0.01090000
2018-05-15 02:25:54,864 - step 14000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:25:54,864 - step 14000 . eig1: [ -0.0097 +0.0620 -0.3376 +0.6269 -0.7325 -1.0573 +1.4674 +2.3746 +3.2028 +4.2360]
2018-05-15 02:25:54,864 - step 14000 . eig_avg:[ +0.0062 -0.0556 +0.3203 -0.3934 -0.8229 +0.9558 -1.0612 +1.4885 +2.2862 +3.0837]
2018-05-15 02:26:57,593 - step 14500 . c=0.15229227 d(w0,w1)=101.67967224 d(w0,w_avg)=57.72714615 t=62.61053538 c0=1.72033861 c1=1.96616799 c_avg=1.67531991 a0=0.63750000 a1=0.61850000 a_avg=0.64860000 a_avg-a0=0.01110000
2018-05-15 02:26:57,593 - step 14500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:26:57,593 - step 14500 . eig1: [ -0.0127 +0.0581 -0.4075 +0.7010 -0.9325 -1.2157 +1.6461 +2.6074 +3.6568 +4.7411]
2018-05-15 02:26:57,593 - step 14500 . eig_avg:[ +0.0077 -0.0468 +0.3389 -0.3642 -0.7910 +0.9788 -1.0802 +1.6279 +2.3211 +3.1060]
2018-05-15 02:28:00,208 - step 15000 . c=0.20776758 d(w0,w1)=103.67300415 d(w0,w_avg)=58.84791946 t=62.69985843 c0=1.72033861 c1=1.93415234 c_avg=1.67802788 a0=0.63750000 a1=0.62520000 a_avg=0.64850000 a_avg-a0=0.01100000
2018-05-15 02:28:00,208 - step 15000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:28:00,208 - step 15000 . eig1: [ +0.0133 -0.0487 +0.4592 -0.4725 -0.9075 -1.1912 +1.2843 +2.1537 +3.0188 +3.9909]
2018-05-15 02:28:00,209 - step 15000 . eig_avg:[ +0.0045 -0.0713 +0.3039 -0.4101 +0.8825 -0.9198 -1.1205 +1.5598 +2.2644 +2.9634]
2018-05-15 02:29:03,137 - step 15500 . c=0.12479432 d(w0,w1)=105.70240021 d(w0,w_avg)=59.95779800 t=62.54635167 c0=1.72033861 c1=1.93402393 c_avg=1.68140121 a0=0.63750000 a1=0.62340000 a_avg=0.64890000 a_avg-a0=0.01140000
2018-05-15 02:29:03,137 - step 15500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:29:03,137 - step 15500 . eig1: [ +0.0241 -0.0301 -0.4190 +0.5159 -0.8705 -1.2910 +1.3366 +2.2169 +3.1102 +4.0398]
2018-05-15 02:29:03,137 - step 15500 . eig_avg:[ -0.0145 +0.0253 -0.3074 +0.4350 -0.5763 -0.9765 +1.0309 +1.7421 +2.3927 +3.0702]
2018-05-15 02:30:05,722 - step 16000 . c=0.12405534 d(w0,w1)=107.57173157 d(w0,w_avg)=61.06050491 t=62.90870690 c0=1.72033861 c1=1.92998220 c_avg=1.68455142 a0=0.63750000 a1=0.62270000 a_avg=0.64850000 a_avg-a0=0.01100000
2018-05-15 02:30:05,722 - step 16000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:30:05,722 - step 16000 . eig1: [ -0.0021 +0.1704 -0.2494 -0.7404 +0.9423 -1.0073 +1.7910 +2.8651 +3.8415 +4.8414]
2018-05-15 02:30:05,722 - step 16000 . eig_avg:[ +0.0113 -0.0315 -0.3528 +0.3728 -0.7150 +1.0086 -1.0394 +1.6300 +2.4222 +3.1719]
2018-05-15 02:31:08,489 - step 16500 . c=0.17458430 d(w0,w1)=109.58728790 d(w0,w_avg)=62.15574646 t=62.54971147 c0=1.72033861 c1=1.96444941 c_avg=1.68779067 a0=0.63750000 a1=0.61990000 a_avg=0.64990000 a_avg-a0=0.01240000
2018-05-15 02:31:08,489 - step 16500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:31:08,489 - step 16500 . eig1: [ -0.0039 +0.1134 -0.2671 -0.6869 +0.7032 -1.0093 +1.5823 +2.3728 +3.4362 +4.2807]
2018-05-15 02:31:08,489 - step 16500 . eig_avg:[ -0.0177 +0.0209 -0.3222 +0.4293 -0.6409 -1.0689 +1.0773 +1.7206 +2.5101 +3.1862]
2018-05-15 02:32:11,084 - step 17000 . c=0.14938165 d(w0,w1)=111.50223541 d(w0,w_avg)=63.24291992 t=62.80612445 c0=1.72033861 c1=1.99279607 c_avg=1.69124054 a0=0.63750000 a1=0.62000000 a_avg=0.64950000 a_avg-a0=0.01200000
2018-05-15 02:32:11,084 - step 17000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:32:11,084 - step 17000 . eig1: [ -0.0089 +0.0630 -0.2848 +0.5570 -0.6159 -0.8941 +1.2531 +1.9688 +2.6583 +3.4434]
2018-05-15 02:32:11,084 - step 17000 . eig_avg:[ +0.0166 -0.0219 -0.3302 +0.3975 -0.7119 +1.0450 -1.1335 +1.7211 +2.4313 +3.0542]
2018-05-15 02:33:13,557 - step 17500 . c=0.12146550 d(w0,w1)=113.22102356 d(w0,w_avg)=64.31936646 t=62.49869347 c0=1.72033861 c1=1.96565332 c_avg=1.69458592 a0=0.63750000 a1=0.62550000 a_avg=0.64890000 a_avg-a0=0.01140000
2018-05-15 02:33:13,557 - step 17500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:33:13,557 - step 17500 . eig1: [ -0.0139 +0.0481 -0.3662 +0.5896 -0.7951 -1.1417 +1.3744 +2.2859 +3.2509 +4.0469]
2018-05-15 02:33:13,557 - step 17500 . eig_avg:[ +0.0125 -0.0290 -0.3561 +0.4067 -0.8928 -1.0235 +1.0415 +1.7256 +2.4660 +3.1906]
2018-05-15 02:34:15,797 - step 18000 . c=0.12334640 d(w0,w1)=115.07244873 d(w0,w_avg)=65.38751221 t=62.44810843 c0=1.72033861 c1=1.96207536 c_avg=1.69789024 a0=0.63750000 a1=0.62470000 a_avg=0.64930000 a_avg-a0=0.01180000
2018-05-15 02:34:15,798 - step 18000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:34:15,798 - step 18000 . eig1: [ -0.0030 +0.1504 -0.3002 -0.8328 +0.9032 -1.7637 +1.9189 -2.1092 +2.7960 +3.8641]
2018-05-15 02:34:15,798 - step 18000 . eig_avg:[ +0.0126 -0.0289 -0.3540 +0.4003 -0.7804 +1.0706 -1.1191 +1.7082 +2.4068 +3.5019]
2018-05-15 02:35:18,111 - step 18500 . c=0.19387287 d(w0,w1)=116.82093048 d(w0,w_avg)=66.44605255 t=62.20568275 c0=1.72033861 c1=1.94077500 c_avg=1.70080212 a0=0.63750000 a1=0.62810000 a_avg=0.64870000 a_avg-a0=0.01120000
2018-05-15 02:35:18,111 - step 18500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:35:18,111 - step 18500 . eig1: [ -0.0091 +0.0734 -0.3763 +0.7287 -0.8556 -1.2329 +1.6354 +2.7554 +3.5737 +4.7746]
2018-05-15 02:35:18,111 - step 18500 . eig_avg:[ -0.0183 +0.0199 -0.3282 +0.4571 -0.8062 -1.1137 +1.1706 +1.8023 +2.4991 +3.3473]
2018-05-15 02:36:20,347 - step 19000 . c=0.10859858 d(w0,w1)=118.64722443 d(w0,w_avg)=67.49626923 t=62.38852143 c0=1.72033861 c1=1.99533609 c_avg=1.70407625 a0=0.63750000 a1=0.62150000 a_avg=0.64890000 a_avg-a0=0.01140000
2018-05-15 02:36:20,347 - step 19000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:36:20,347 - step 19000 . eig1: [ +0.0024 -0.1571 +0.3136 -0.6285 +1.2067 -1.5232 -1.8580 +2.1697 +3.1990 +4.2087]
2018-05-15 02:36:20,347 - step 19000 . eig_avg:[ -0.0106 +0.0333 -0.3071 +0.5046 -0.7236 -1.0342 +1.1623 +1.8569 +2.7095 +3.4130]
2018-05-15 02:37:22,894 - step 19500 . c=0.13050355 d(w0,w1)=120.52445984 d(w0,w_avg)=68.53849792 t=62.30998921 c0=1.72033861 c1=1.95087403 c_avg=1.70705009 a0=0.63750000 a1=0.63060000 a_avg=0.64880000 a_avg-a0=0.01130000
2018-05-15 02:37:22,894 - step 19500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:37:22,894 - step 19500 . eig1: [ -0.0007 +0.1877 -0.2064 -0.6031 +0.9056 -0.9301 +1.7635 +2.7064 +3.7645 +4.7217]
2018-05-15 02:37:22,894 - step 19500 . eig_avg:[ -0.0035 +0.0783 -0.2226 +0.5387 -0.5593 -0.9184 +1.2152 +1.8512 +2.7010 +3.4317]
2018-05-15 02:38:25,274 - step 20000 . c=0.08066446 d(w0,w1)=122.26660919 d(w0,w_avg)=69.57529449 t=62.52933931 c0=1.72033861 c1=1.99169463 c_avg=1.70993860 a0=0.63750000 a1=0.62070000 a_avg=0.64860000 a_avg-a0=0.01110000
2018-05-15 02:38:25,274 - step 20000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:38:25,274 - step 20000 . eig1: [ +0.0062 -0.0714 +0.3858 -0.4834 -0.8639 +1.1082 -1.4045 +1.9234 +2.7366 +3.6563]
2018-05-15 02:38:25,274 - step 20000 . eig_avg:[ -0.0005 +0.1383 -0.1566 -0.4495 +0.6635 -0.7878 +1.3018 +2.0423 +2.7528 +3.4928]
2018-05-15 02:39:27,697 - step 20500 . c=0.15927160 d(w0,w1)=124.06344604 d(w0,w_avg)=70.60398865 t=62.32260466 c0=1.72033861 c1=2.00574614 c_avg=1.71334590 a0=0.63750000 a1=0.62610000 a_avg=0.64830000 a_avg-a0=0.01080000
2018-05-15 02:39:27,697 - step 20500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:39:27,697 - step 20500 . eig1: [ -0.0010 +0.1762 -0.2192 -0.6218 +0.9201 -1.0644 +1.8123 +2.8725 +3.6056 +4.6894]
2018-05-15 02:39:27,697 - step 20500 . eig_avg:[ -0.0011 +0.1207 -0.1676 -0.4500 +0.6281 -0.8359 +1.3118 +1.9532 +2.7471 +3.5067]
2018-05-15 02:40:29,952 - step 21000 . c=0.24663925 d(w0,w1)=125.69811249 d(w0,w_avg)=71.62468719 t=62.44176865 c0=1.72033861 c1=2.02599745 c_avg=1.71670584 a0=0.63750000 a1=0.61890000 a_avg=0.64870000 a_avg-a0=0.01120000
2018-05-15 02:40:29,952 - step 21000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:40:29,952 - step 21000 . eig1: [ -0.0144 +0.0446 -0.3931 +0.6401 -0.9100 -1.5520 +1.5711 +2.5576 +3.6574 +4.7018]
2018-05-15 02:40:29,952 - step 21000 . eig_avg:[ -0.0013 +0.1195 -0.1802 -0.5089 +0.6598 -0.8471 +1.2831 +2.0367 +2.7606 +3.5678]
2018-05-15 02:41:32,466 - step 21500 . c=0.11358730 d(w0,w1)=127.47541809 d(w0,w_avg)=72.63939667 t=62.36739969 c0=1.72033861 c1=2.01346816 c_avg=1.71992420 a0=0.63750000 a1=0.62050000 a_avg=0.64860000 a_avg-a0=0.01110000
2018-05-15 02:41:32,466 - step 21500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:41:32,466 - step 21500 . eig1: [ -0.0135 +0.0328 -0.3354 +0.5116 -0.6446 +1.2700 -1.7522 +1.9858 +3.0056 +3.7719]
2018-05-15 02:41:32,466 - step 21500 . eig_avg:[ -0.0029 +0.0845 -0.2182 -0.5809 +0.5892 -0.8453 +1.2577 +1.9700 +2.6750 +3.3450]
2018-05-15 02:42:35,032 - step 22000 . c=0.14114584 d(w0,w1)=129.25831604 d(w0,w_avg)=73.64997101 t=62.42292690 c0=1.72033861 c1=1.97600236 c_avg=1.72287141 a0=0.63750000 a1=0.62690000 a_avg=0.64820000 a_avg-a0=0.01070000
2018-05-15 02:42:35,033 - step 22000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:42:35,033 - step 22000 . eig1: [ -0.0075 +0.0836 -0.3632 +0.7482 -0.8068 -1.3711 +1.7076 +2.6218 +3.7563 +4.7264]
2018-05-15 02:42:35,033 - step 22000 . eig_avg:[ -0.0029 +0.0825 -0.2184 -0.5833 +0.5971 -0.9160 +1.2264 +2.0004 +2.6061 +3.4978]
2018-05-15 02:43:37,392 - step 22500 . c=0.10016011 d(w0,w1)=130.95039368 d(w0,w_avg)=74.65354919 t=62.55207062 c0=1.72033861 c1=1.99603254 c_avg=1.72554367 a0=0.63750000 a1=0.62720000 a_avg=0.64880000 a_avg-a0=0.01130000
2018-05-15 02:43:37,392 - step 22500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:43:37,392 - step 22500 . eig1: [ +0.0087 -0.0628 +0.4349 -0.4793 -1.1193 +1.2616 -1.4134 +2.2056 +3.1250 +3.9706]
2018-05-15 02:43:37,392 - step 22500 . eig_avg:[ -0.0024 +0.0957 -0.2082 -0.5841 +0.6200 -0.8757 +1.2556 +1.9559 +2.6895 +3.6314]
2018-05-15 02:44:39,946 - step 23000 . c=0.13732222 d(w0,w1)=132.61010742 d(w0,w_avg)=75.64914703 t=62.50685215 c0=1.72033861 c1=2.02940990 c_avg=1.72855327 a0=0.63750000 a1=0.62370000 a_avg=0.64930000 a_avg-a0=0.01180000
2018-05-15 02:44:39,946 - step 23000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:44:39,946 - step 23000 . eig1: [ +0.0026 -0.1314 +0.3194 -0.6084 +1.1123 -1.1888 -1.5802 +2.1134 +2.9012 +4.0333]
2018-05-15 02:44:39,946 - step 23000 . eig_avg:[ -0.0016 +0.1104 -0.1868 -0.5517 +0.6338 -0.8575 +1.2729 +2.0367 +2.9546 +3.6557]
2018-05-15 02:45:42,542 - step 23500 . c=0.09151237 d(w0,w1)=134.12606812 d(w0,w_avg)=76.63710022 t=62.52034807 c0=1.72033861 c1=2.01693710 c_avg=1.73203475 a0=0.63750000 a1=0.62000000 a_avg=0.64890000 a_avg-a0=0.01140000
2018-05-15 02:45:42,542 - step 23500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:45:42,542 - step 23500 . eig1: [ +0.0019 -0.1360 +0.2540 -0.5135 +1.0175 -1.0362 +1.9772 +2.8884 +3.7816 +4.9038]
2018-05-15 02:45:42,542 - step 23500 . eig_avg:[ -0.0019 +0.1041 -0.2023 -0.5610 +0.6420 -0.8513 +1.2962 +2.1395 +2.7724 +3.6441]
2018-05-15 02:46:45,103 - step 24000 . c=0.11807438 d(w0,w1)=135.72976685 d(w0,w_avg)=77.61847687 t=62.55532670 c0=1.72033861 c1=2.05836373 c_avg=1.73540460 a0=0.63750000 a1=0.62280000 a_avg=0.64930000 a_avg-a0=0.01180000
2018-05-15 02:46:45,103 - step 24000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:46:45,103 - step 24000 . eig1: [ +0.0210 -0.0252 -0.3898 +0.4767 -0.8031 -1.0309 +1.2364 +2.0507 +2.8549 +3.7202]
2018-05-15 02:46:45,103 - step 24000 . eig_avg:[ +0.0003 -0.1314 +0.1596 -0.4268 +0.7448 -0.8306 +1.4068 +2.1022 +2.7525 +3.6369]
2018-05-15 02:47:47,313 - step 24500 . c=0.13134441 d(w0,w1)=137.36892700 d(w0,w_avg)=78.59245300 t=62.31520414 c0=1.72033861 c1=2.04286686 c_avg=1.73889467 a0=0.63750000 a1=0.62350000 a_avg=0.64920000 a_avg-a0=0.01170000
2018-05-15 02:47:47,313 - step 24500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:47:47,313 - step 24500 . eig1: [ -0.0073 +0.0670 -0.2964 +0.5886 -0.6599 -0.9133 +1.3710 +2.1545 +2.9614 +3.8446]
2018-05-15 02:47:47,313 - step 24500 . eig_avg:[ -0.0011 +0.1269 -0.1820 -0.5278 +0.7255 -0.8227 +1.3664 +2.1051 +2.9228 +3.7485]
2018-05-15 02:48:49,274 - step 25000 . c=0.08578882 d(w0,w1)=138.95672607 d(w0,w_avg)=79.55993652 t=62.20457411 c0=1.72033861 c1=2.04352385 c_avg=1.74209516 a0=0.63750000 a1=0.62200000 a_avg=0.64910000 a_avg-a0=0.01160000
2018-05-15 02:48:49,274 - step 25000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:48:49,274 - step 25000 . eig1: [ -0.0015 +0.1429 -0.2047 -0.5455 +0.7525 -1.0235 +1.5614 +2.4127 +3.2687 +4.1546]
2018-05-15 02:48:49,274 - step 25000 . eig_avg:[ -0.0011 +0.1254 -0.1815 -0.5091 +0.6847 -0.9228 +1.3955 +2.1002 +2.9411 +3.7755]
2018-05-15 02:49:51,327 - step 25500 . c=0.11348379 d(w0,w1)=140.52632141 d(w0,w_avg)=80.52094269 t=61.94418716 c0=1.72033861 c1=2.05689122 c_avg=1.74533629 a0=0.63750000 a1=0.62080000 a_avg=0.64990000 a_avg-a0=0.01240000
2018-05-15 02:49:51,327 - step 25500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:49:51,327 - step 25500 . eig1: [ -0.0024 +0.1402 -0.2563 -0.6516 +0.8513 -1.1870 +1.7311 +2.6565 +3.7190 +4.8417]
2018-05-15 02:49:51,327 - step 25500 . eig_avg:[ -0.0029 +0.0893 -0.2347 -0.5964 +0.6635 -0.9028 +1.2730 +2.1196 +2.8598 +3.6840]
2018-05-15 02:50:53,461 - step 26000 . c=0.07118499 d(w0,w1)=142.02932739 d(w0,w_avg)=81.47460175 t=62.13571000 c0=1.72033861 c1=2.05231328 c_avg=1.74875841 a0=0.63750000 a1=0.62550000 a_avg=0.64960000 a_avg-a0=0.01210000
2018-05-15 02:50:53,462 - step 26000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:50:53,462 - step 26000 . eig1: [ +0.0026 -0.1410 +0.3186 -0.6043 -0.9257 +1.2467 +2.1448 +3.3327 +4.3389 +5.4492]
2018-05-15 02:50:53,462 - step 26000 . eig_avg:[ -0.0019 +0.1075 -0.2082 -0.5865 +0.7020 -0.9038 +1.3732 +2.1694 +3.0038 +3.8782]
2018-05-15 02:51:55,597 - step 26500 . c=0.09843128 d(w0,w1)=143.59468079 d(w0,w_avg)=82.42174530 t=62.03001666 c0=1.72033861 c1=2.06475548 c_avg=1.75218178 a0=0.63750000 a1=0.62050000 a_avg=0.64950000 a_avg-a0=0.01200000
2018-05-15 02:51:55,598 - step 26500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:51:55,598 - step 26500 . eig1: [ -0.0054 +0.0809 -0.2934 +0.6288 -0.6633 -1.0717 +1.4116 +2.1539 +3.1839 +3.9587]
2018-05-15 02:51:55,598 - step 26500 . eig_avg:[ -0.0008 +0.1376 -0.1789 -0.5036 +0.7248 -0.8617 +1.3875 +2.0427 +3.0013 +3.9131]
2018-05-15 02:52:57,871 - step 27000 . c=0.19928756 d(w0,w1)=145.15982056 d(w0,w_avg)=83.36393738 t=62.28049803 c0=1.72033861 c1=2.12360190 c_avg=1.75570627 a0=0.63750000 a1=0.61740000 a_avg=0.64900000 a_avg-a0=0.01150000
2018-05-15 02:52:57,872 - step 27000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:52:57,872 - step 27000 . eig1: [ +0.0051 -0.0656 +0.2952 -0.3755 -0.6537 +0.9971 +1.6972 +2.5202 +3.4098 +4.2883]
2018-05-15 02:52:57,872 - step 27000 . eig_avg:[ +0.0006 -0.1289 +0.1833 -0.4539 +0.7679 -0.9489 +1.4219 +2.2491 +3.0101 +4.1400]
2018-05-15 02:54:00,158 - step 27500 . c=0.06369530 d(w0,w1)=146.63726807 d(w0,w_avg)=84.30017090 t=62.26014614 c0=1.72033861 c1=2.09798912 c_avg=1.75923486 a0=0.63750000 a1=0.62120000 a_avg=0.64860000 a_avg-a0=0.01110000
2018-05-15 02:54:00,158 - step 27500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:54:00,159 - step 27500 . eig1: [ -0.0009 +0.1773 -0.2206 -0.7047 +0.9963 -1.1688 +1.8722 +2.8440 +3.8716 +4.8719]
2018-05-15 02:54:00,159 - step 27500 . eig_avg:[ -0.0001 -0.1505 +0.1569 -0.4581 +0.7885 -0.9480 +1.3963 +2.2323 +3.0724 +3.8473]
2018-05-15 02:55:02,491 - step 28000 . c=0.08016251 d(w0,w1)=148.13749695 d(w0,w_avg)=85.22939301 t=62.39968753 c0=1.72033861 c1=2.10395422 c_avg=1.76292246 a0=0.63750000 a1=0.62110000 a_avg=0.64870000 a_avg-a0=0.01120000
2018-05-15 02:55:02,491 - step 28000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:55:02,491 - step 28000 . eig1: [ -0.0013 +0.1694 -0.2392 -0.6798 +0.9092 -1.0125 +1.8519 +2.6366 +3.7839 +4.9435]
2018-05-15 02:55:02,491 - step 28000 . eig_avg:[ -0.0005 +0.1451 -0.1663 -0.5376 +0.7439 -0.8133 +1.3608 +2.1285 +2.9800 +3.8214]
2018-05-15 02:56:05,103 - step 28500 . c=0.07034799 d(w0,w1)=149.72335815 d(w0,w_avg)=86.15430450 t=62.32835865 c0=1.72033861 c1=2.09201202 c_avg=1.76631876 a0=0.63750000 a1=0.62080000 a_avg=0.64850000 a_avg-a0=0.01100000
2018-05-15 02:56:05,103 - step 28500 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:56:05,104 - step 28500 . eig1: [ -0.0029 +0.0968 -0.2261 -0.5638 +0.5912 -0.7790 +1.3166 +2.0423 +2.7530 +3.6436]
2018-05-15 02:56:05,104 - step 28500 . eig_avg:[ +0.0009 -0.1219 +0.1955 -0.4724 -0.7133 +0.8152 +1.4904 +2.2936 +3.0882 +4.1043]
2018-05-15 02:57:07,494 - step 29000 . c=0.10228723 d(w0,w1)=151.15686035 d(w0,w_avg)=87.07267761 t=62.59551477 c0=1.72033861 c1=2.09468963 c_avg=1.76967475 a0=0.63750000 a1=0.62000000 a_avg=0.64850000 a_avg-a0=0.01100000
2018-05-15 02:57:07,494 - step 29000 . eig0: [ -0.0241 +0.0279 -0.4165 +0.5369 -0.8371 -1.1154 +1.3675 +2.2762 +3.1585 +4.1054]
2018-05-15 02:57:07,494 - step 29000 . eig1: [ -0.0013 +0.1685 -0.2317 -0.6738 +0.9494 -1.0500 +1.7867 +2.8009 +3.8256 +5.0912]
2018-05-15 02:57:07,494 - step 29000 . eig_avg:[ +0.0008 -0.1276 +0.1958 -0.4609 +0.7917 -0.7955 +1.4337 +2.3646 +3.0431 +4.1063]
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