Loading pickled data... "This module will be removed in 0.20.", DeprecationWarning) Training data shape: (230070, 32, 32, 1) Training label shape: (230070, 6) Validation data shape: (5684, 32, 32, 1) Validation label shape: (5684, 6) Test data shape: (13068, 32, 32, 1) Test label shape: (13068, 6) Data successfully loaded! Defining accuracy function... Accuracy function defined! Loading data and building computation graph... Final image size after convolutions 1 Data loaded and computation graph built! Running computation and iteration... If you are unable to save the summary, please change the path to where you want it to write. 2017-08-09 18:31:18.107219: W c:\tf_jenkins\home\workspace\release-win\m\windows-gpu\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations. 2017-08-09 18:31:18.141580: W c:\tf_jenkins\home\workspace\release-win\m\windows-gpu\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE2 instructions, but these are available on your machine and could speed up CPU computations. 2017-08-09 18:31:18.141880: W c:\tf_jenkins\home\workspace\release-win\m\windows-gpu\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. 2017-08-09 18:31:18.142177: W c:\tf_jenkins\home\workspace\release-win\m\windows-gpu\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 2017-08-09 18:31:18.142469: W c:\tf_jenkins\home\workspace\release-win\m\windows-gpu\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 2017-08-09 18:31:18.142768: W c:\tf_jenkins\home\workspace\release-win\m\windows-gpu\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. 2017-08-09 18:31:18.143064: W c:\tf_jenkins\home\workspace\release-win\m\windows-gpu\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. 2017-08-09 18:31:18.143366: W c:\tf_jenkins\home\workspace\release-win\m\windows-gpu\py\36\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations. 2017-08-09 18:31:19.876249: I c:\tf_jenkins\home\workspace\release-win\m\windows-gpu\py\36\tensorflow\core\common_runtime\gpu\gpu_device.cc:940] Found device 0 with properties: name: TITAN X (Pascal) major: 6 minor: 1 memoryClockRate (GHz) 1.531 pciBusID 0000:01:00.0 Total memory: 12.00GiB Free memory: 9.97GiB 2017-08-09 18:31:19.902620: I c:\tf_jenkins\home\workspace\release-win\m\windows-gpu\py\36\tensorflow\core\common_runtime\gpu\gpu_device.cc:961] DMA: 0 2017-08-09 18:31:19.902785: I c:\tf_jenkins\home\workspace\release-win\m\windows-gpu\py\36\tensorflow\core\common_runtime\gpu\gpu_device.cc:971] 0: Y 2017-08-09 18:31:19.921928: I c:\tf_jenkins\home\workspace\release-win\m\windows-gpu\py\36\tensorflow\core\common_runtime\gpu\gpu_device.cc:1030] Creating TensorFlow device (/gpu:0) -> (device: 0, name: TITAN X (Pascal), pci bus id: 0000:01:00.0) Initialized Minibatch loss at step 0: 26.855194091796875 Minibatch accuracy: 6.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 500: 6.906986713409424 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 1000: 6.713873386383057 Minibatch accuracy: 60.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 1500: 6.381070137023926 Minibatch accuracy: 61.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 2000: 6.488226413726807 Minibatch accuracy: 57.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 2500: 6.771573066711426 Minibatch accuracy: 60.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 3000: 6.64626407623291 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 3500: 7.250941276550293 Minibatch accuracy: 50.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 4000: 7.317909240722656 Minibatch accuracy: 48.75% Validation accuracy: 57.26600985221675% Minibatch loss at step 4500: 6.323575496673584 Minibatch accuracy: 57.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 5000: 7.347828388214111 Minibatch accuracy: 48.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 5500: 7.060275554656982 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 6000: 7.014846324920654 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 6500: 7.2190046310424805 Minibatch accuracy: 50.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 7000: 7.051701068878174 Minibatch accuracy: 53.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 7500: 6.699163913726807 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 8000: 6.843515396118164 Minibatch accuracy: 51.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 8500: 6.688544750213623 Minibatch accuracy: 53.75% Validation accuracy: 57.26600985221675% Minibatch loss at step 9000: 6.451516151428223 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 9500: 6.983364105224609 Minibatch accuracy: 53.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 10000: 6.567230701446533 Minibatch accuracy: 53.75% Validation accuracy: 57.26600985221675% Minibatch loss at step 10500: 6.093926429748535 Minibatch accuracy: 57.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 11000: 6.5415449142456055 Minibatch accuracy: 58.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 11500: 7.276628017425537 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 12000: 7.077731132507324 Minibatch accuracy: 51.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 12500: 6.34781551361084 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 13000: 6.172408580780029 Minibatch accuracy: 57.5% Validation accuracy: 59.011259676284304% Minibatch loss at step 13500: 6.310144424438477 Minibatch accuracy: 61.25% Validation accuracy: 59.011259676284304% Minibatch loss at step 14000: 6.751123428344727 Minibatch accuracy: 56.25% Validation accuracy: 59.011259676284304% Minibatch loss at step 14500: 6.661386489868164 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 15000: 6.843359470367432 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 15500: 6.976260662078857 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 16000: 6.269674301147461 Minibatch accuracy: 61.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 16500: 6.792448043823242 Minibatch accuracy: 53.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 17000: 7.093145847320557 Minibatch accuracy: 53.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 17500: 6.786287784576416 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 18000: 6.88770055770874 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 18500: 6.908655166625977 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 19000: 6.621483325958252 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 19500: 6.9551544189453125 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 20000: 7.593603610992432 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 20500: 6.953622341156006 Minibatch accuracy: 53.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 21000: 6.847475528717041 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 21500: 6.727815628051758 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 22000: 6.689671993255615 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 22500: 6.791993618011475 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 23000: 7.002213001251221 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 23500: 6.838506698608398 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 24000: 7.8288493156433105 Minibatch accuracy: 47.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 24500: 6.820818901062012 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 25000: 6.285423278808594 Minibatch accuracy: 57.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 25500: 7.102350234985352 Minibatch accuracy: 57.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 26000: 6.55610466003418 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 26500: 6.627939701080322 Minibatch accuracy: 53.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 27000: 5.739352703094482 Minibatch accuracy: 60.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 27500: 5.522730350494385 Minibatch accuracy: 66.25% Validation accuracy: 59.011259676284304% Minibatch loss at step 28000: 5.555020809173584 Minibatch accuracy: 61.25% Validation accuracy: 59.011259676284304% Minibatch loss at step 28500: 6.07197380065918 Minibatch accuracy: 58.75% Validation accuracy: 59.011259676284304% Minibatch loss at step 29000: 6.604612350463867 Minibatch accuracy: 58.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 29500: 6.377110004425049 Minibatch accuracy: 57.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 30000: 7.300994873046875 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 30500: 6.9678120613098145 Minibatch accuracy: 53.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 31000: 6.36400032043457 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 31500: 6.604800224304199 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 32000: 7.969369411468506 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 32500: 7.063517093658447 Minibatch accuracy: 51.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 33000: 7.086028099060059 Minibatch accuracy: 51.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 33500: 7.021218776702881 Minibatch accuracy: 57.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 34000: 7.440347671508789 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 34500: 6.615805625915527 Minibatch accuracy: 58.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 35000: 7.302754878997803 Minibatch accuracy: 51.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 35500: 6.821496486663818 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 36000: 6.786836624145508 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 36500: 7.464430809020996 Minibatch accuracy: 47.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 37000: 6.913418769836426 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 37500: 6.697768688201904 Minibatch accuracy: 57.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 38000: 7.409310817718506 Minibatch accuracy: 51.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 38500: 7.3906378746032715 Minibatch accuracy: 50.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 39000: 6.4158477783203125 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 39500: 7.544946193695068 Minibatch accuracy: 50.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 40000: 7.232141017913818 Minibatch accuracy: 47.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 40500: 7.388385772705078 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 41000: 6.742234706878662 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 41500: 5.62515926361084 Minibatch accuracy: 61.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 42000: 5.945781707763672 Minibatch accuracy: 62.5% Validation accuracy: 59.011259676284304% Minibatch loss at step 42500: 6.1668267250061035 Minibatch accuracy: 58.75% Validation accuracy: 59.011259676284304% Minibatch loss at step 43000: 6.625813007354736 Minibatch accuracy: 56.25% Validation accuracy: 59.011259676284304% Minibatch loss at step 43500: 6.667538642883301 Minibatch accuracy: 55.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 44000: 6.312839508056641 Minibatch accuracy: 58.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 44500: 6.983112335205078 Minibatch accuracy: 47.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 45000: 7.0608625411987305 Minibatch accuracy: 47.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 45500: 7.005077362060547 Minibatch accuracy: 50.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 46000: 6.595770835876465 Minibatch accuracy: 57.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 46500: 6.722945690155029 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 47000: 6.593995094299316 Minibatch accuracy: 57.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 47500: 6.989494323730469 Minibatch accuracy: 53.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 48000: 6.857971668243408 Minibatch accuracy: 51.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 48500: 7.240462779998779 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 49000: 6.639955997467041 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 49500: 7.54242467880249 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 50000: 6.270074844360352 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 50500: 6.881011486053467 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 51000: 6.984245777130127 Minibatch accuracy: 51.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 51500: 7.146604061126709 Minibatch accuracy: 50.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 52000: 7.138040542602539 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 52500: 6.3062968254089355 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 53000: 6.8871073722839355 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 53500: 6.7325897216796875 Minibatch accuracy: 56.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 54000: 6.49354887008667 Minibatch accuracy: 57.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 54500: 6.684627532958984 Minibatch accuracy: 53.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 55000: 7.26702356338501 Minibatch accuracy: 51.25% Validation accuracy: 57.470091484869805% Minibatch loss at step 55500: 6.70648717880249 Minibatch accuracy: 53.75% Validation accuracy: 57.470091484869805% Minibatch loss at step 56000: 6.409886837005615 Minibatch accuracy: 61.25% Validation accuracy: 59.011259676284304% Minibatch loss at step 56500: 5.4392876625061035 Minibatch accuracy: 62.5% Validation accuracy: 59.011259676284304% Minibatch loss at step 57000: 5.988055229187012 Minibatch accuracy: 63.75% Validation accuracy: 59.011259676284304% Minibatch loss at step 57500: 6.665421962738037 Minibatch accuracy: 61.25% Validation accuracy: 59.011259676284304% Minibatch loss at step 58000: 8.079344749450684 Minibatch accuracy: 47.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 58500: 6.902329444885254 Minibatch accuracy: 57.5% Validation accuracy: 57.470091484869805% Minibatch loss at step 59000: 7.3257904052734375 Minibatch accuracy: 50.0% Validation accuracy: 57.470091484869805% Minibatch loss at step 59500: 7.278094291687012 Minibatch accuracy: 52.5% Validation accuracy: 57.470091484869805% Test accuracy: 64.15365779002143%