2018-05-07 23:36:14.288082: I tensorflow/tools/benchmark/benchmark_model.cc:465] Graph: [testdata/mobilenet_v2_1.4_224_frozen.pb] 2018-05-07 23:36:14.288137: I tensorflow/tools/benchmark/benchmark_model.cc:466] Init ops: 2018-05-07 23:36:14.288160: I tensorflow/tools/benchmark/benchmark_model.cc:467] Input layers: [input] 2018-05-07 23:36:14.288173: I tensorflow/tools/benchmark/benchmark_model.cc:468] Input shapes: [1,224,224,3] 2018-05-07 23:36:14.288181: I tensorflow/tools/benchmark/benchmark_model.cc:469] Input types: [float] 2018-05-07 23:36:14.288190: I tensorflow/tools/benchmark/benchmark_model.cc:470] Output layers: [MobilenetV2/Predictions/Reshape_1] 2018-05-07 23:36:14.288203: I tensorflow/tools/benchmark/benchmark_model.cc:471] Target layers: [] 2018-05-07 23:36:14.288223: I tensorflow/tools/benchmark/benchmark_model.cc:472] Num runs: [1000] 2018-05-07 23:36:14.288234: I tensorflow/tools/benchmark/benchmark_model.cc:473] Inter-inference delay (seconds): [-1.0] 2018-05-07 23:36:14.288241: I tensorflow/tools/benchmark/benchmark_model.cc:474] Inter-benchmark delay (seconds): [-1.0] 2018-05-07 23:36:14.288247: I tensorflow/tools/benchmark/benchmark_model.cc:476] Num threads: [1] 2018-05-07 23:36:14.288256: I tensorflow/tools/benchmark/benchmark_model.cc:477] Benchmark name: [] 2018-05-07 23:36:14.288266: I tensorflow/tools/benchmark/benchmark_model.cc:478] Output prefix: [] 2018-05-07 23:36:14.288274: I tensorflow/tools/benchmark/benchmark_model.cc:479] Show sizes: [0] 2018-05-07 23:36:14.288284: I tensorflow/tools/benchmark/benchmark_model.cc:480] Warmup runs: [1] 2018-05-07 23:36:14.288293: I tensorflow/tools/benchmark/benchmark_model.cc:251] Loading TensorFlow. 2018-05-07 23:36:14.288302: I tensorflow/tools/benchmark/benchmark_model.cc:258] Got config, 0 devices 2018-05-07 23:36:14.329890: I tensorflow/tools/benchmark/benchmark_model.cc:492] Initialized session in 0.041584s 2018-05-07 23:36:14.329949: I tensorflow/tools/benchmark/benchmark_model.cc:323] Running benchmark for max 1 iterations, max -1 seconds without detailed stat logging, with -1s sleep between inferences 2018-05-07 23:36:14.787384: I tensorflow/tools/benchmark/benchmark_model.cc:357] count=1 curr=457110 2018-05-07 23:36:14.787437: I tensorflow/tools/benchmark/benchmark_model.cc:323] Running benchmark for max 1000 iterations, max 10 seconds without detailed stat logging, with -1s sleep between inferences 2018-05-07 23:36:24.840364: I tensorflow/tools/benchmark/benchmark_model.cc:357] count=74 first=128753 curr=119372 min=118388 max=198803 avg=135790 std=17649 2018-05-07 23:36:24.840419: I tensorflow/tools/benchmark/benchmark_model.cc:323] Running benchmark for max 1000 iterations, max 10 seconds with detailed stat logging, with -1s sleep between inferences 2018-05-07 23:36:34.983939: I tensorflow/tools/benchmark/benchmark_model.cc:357] count=72 first=121254 curr=156775 min=120075 max=209829 avg=140307 std=24413 2018-05-07 23:36:34.983991: I tensorflow/tools/benchmark/benchmark_model.cc:596] Average inference timings in us: Warmup: 457110, no stats: 135790, with stats: 140306 2018-05-07 23:36:34.986563: I tensorflow/core/util/stat_summarizer.cc:358] Number of nodes executed: 316 2018-05-07 23:36:34.986813: I tensorflow/core/util/stat_summarizer.cc:468] ============================== Run Order ============================== 2018-05-07 23:36:34.986842: I tensorflow/core/util/stat_summarizer.cc:468] [node type] [start] [first] [avg ms] [%] [cdf%] [mem KB] [times called] [Name] 2018-05-07 23:36:34.986856: I tensorflow/core/util/stat_summarizer.cc:468] NoOp 0.000 0.009 0.075 0.054% 0.054% 0.000 1 _SOURCE 2018-05-07 23:36:34.986865: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.085 0.009 0.006 0.004% 0.058% 0.000 1 Const_92 2018-05-07 23:36:34.986872: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.092 0.003 0.002 0.002% 0.059% 0.000 1 MobilenetV2/expanded_conv_14/project/Conv2D_bn_offset 2018-05-07 23:36:34.986884: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.096 0.004 0.002 0.002% 0.061% 0.000 1 Const_52 2018-05-07 23:36:34.986898: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.099 0.002 0.002 0.001% 0.063% 0.000 1 MobilenetV2/expanded_conv_12/expand/Conv2D_bn_offset 2018-05-07 23:36:34.986910: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.102 0.003 0.002 0.002% 0.064% 0.000 1 Const_22 2018-05-07 23:36:34.986922: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.105 0.002 0.002 0.001% 0.066% 0.000 1 Const_211 2018-05-07 23:36:34.986934: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.108 0.004 0.002 0.001% 0.067% 0.000 1 Const_56 2018-05-07 23:36:34.986946: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.110 0.002 0.002 0.001% 0.068% 0.000 1 Const_84 2018-05-07 23:36:34.986954: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.113 0.002 0.002 0.001% 0.070% 0.000 1 Const_16 2018-05-07 23:36:34.986964: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.116 0.004 0.002 0.002% 0.071% 0.000 1 Const_40 2018-05-07 23:36:34.986972: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.119 0.003 0.002 0.002% 0.073% 0.000 1 MobilenetV2/expanded_conv_12/project/Conv2D_bn_offset 2018-05-07 23:36:34.986979: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.121 0.004 0.002 0.002% 0.074% 0.000 1 Const_162 2018-05-07 23:36:34.986987: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.124 0.002 0.002 0.001% 0.076% 0.000 1 MobilenetV2/expanded_conv_11/expand/Conv2D_bn_offset 2018-05-07 23:36:34.986994: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.127 0.002 0.002 0.002% 0.077% 0.000 1 Const_87 2018-05-07 23:36:34.987000: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.130 0.002 0.002 0.001% 0.079% 0.000 1 Const_144 2018-05-07 23:36:34.987006: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.133 0.002 0.002 0.001% 0.080% 0.000 1 Const_107 2018-05-07 23:36:34.987012: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.136 0.002 0.002 0.001% 0.082% 0.000 1 Const_68 2018-05-07 23:36:34.987018: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.138 0.001 0.002 0.001% 0.083% 0.000 1 Const_53 2018-05-07 23:36:34.987028: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.141 0.003 0.002 0.002% 0.085% 0.000 1 Const_106 2018-05-07 23:36:34.987039: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.144 0.003 0.002 0.002% 0.086% 0.000 1 MobilenetV2/expanded_conv_11/project/Conv2D_bn_offset 2018-05-07 23:36:34.987051: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.147 0.002 0.002 0.002% 0.088% 0.000 1 Const_225 2018-05-07 23:36:34.987062: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.150 0.002 0.002 0.001% 0.089% 0.000 1 MobilenetV2/expanded_conv_9/expand/Conv2D_bn_offset 2018-05-07 23:36:34.987073: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.152 0.003 0.002 0.002% 0.091% 0.000 1 Const_129 2018-05-07 23:36:34.987084: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.155 0.002 0.002 0.001% 0.092% 0.000 1 Const_47 2018-05-07 23:36:34.987091: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.158 0.002 0.002 0.001% 0.094% 0.000 1 Const_35 2018-05-07 23:36:34.987097: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.161 0.002 0.002 0.001% 0.095% 0.000 1 Const_194 2018-05-07 23:36:34.987103: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.164 0.002 0.002 0.001% 0.097% 0.000 1 Const_183 2018-05-07 23:36:34.987109: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.166 0.003 0.002 0.002% 0.098% 0.000 1 Const_98 2018-05-07 23:36:34.987115: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.169 0.001 0.002 0.001% 0.100% 0.000 1 MobilenetV2/expanded_conv_9/project/Conv2D_bn_offset 2018-05-07 23:36:34.987131: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.172 0.002 0.002 0.002% 0.101% 0.000 1 Const_25 2018-05-07 23:36:34.987137: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.175 0.001 0.002 0.001% 0.103% 0.000 1 MobilenetV2/expanded_conv_8/expand/Conv2D_bn_offset 2018-05-07 23:36:34.987143: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.178 0.002 0.002 0.002% 0.104% 0.000 1 Const_142 2018-05-07 23:36:34.987149: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.181 0.002 0.002 0.002% 0.106% 0.000 1 Const_58 2018-05-07 23:36:34.987158: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.184 0.002 0.002 0.001% 0.107% 0.000 1 Const_182 2018-05-07 23:36:34.987163: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.187 0.002 0.002 0.001% 0.109% 0.000 1 Const_209 2018-05-07 23:36:34.987169: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.189 0.001 0.002 0.002% 0.110% 0.000 1 Const_28 2018-05-07 23:36:34.987175: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.192 0.002 0.002 0.002% 0.112% 0.000 1 Const_202 2018-05-07 23:36:34.987182: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.195 0.002 0.002 0.001% 0.113% 0.000 1 MobilenetV2/expanded_conv_8/project/Conv2D_bn_offset 2018-05-07 23:36:34.987193: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.198 0.002 0.002 0.002% 0.115% 0.000 1 Const_104 2018-05-07 23:36:34.987204: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.201 0.001 0.002 0.001% 0.116% 0.000 1 MobilenetV2/expanded_conv_7/expand/Conv2D_bn_offset 2018-05-07 23:36:34.987216: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.203 0.002 0.002 0.002% 0.118% 0.000 1 Const_254 2018-05-07 23:36:34.987227: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.206 0.001 0.002 0.002% 0.119% 0.000 1 Const_43 2018-05-07 23:36:34.987239: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.209 0.002 0.002 0.001% 0.121% 0.000 1 Const_171 2018-05-07 23:36:34.987255: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.212 0.002 0.002 0.001% 0.122% 0.000 1 Const_131 2018-05-07 23:36:34.987263: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.214 0.002 0.002 0.001% 0.124% 0.000 1 Const_29 2018-05-07 23:36:34.987270: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.217 0.002 0.002 0.002% 0.125% 0.000 1 Const_143 2018-05-07 23:36:34.987276: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.220 0.002 0.002 0.001% 0.127% 0.000 1 MobilenetV2/expanded_conv_7/project/Conv2D_bn_offset 2018-05-07 23:36:34.987286: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.223 0.003 0.002 0.002% 0.128% 0.000 1 Const_243 2018-05-07 23:36:34.987297: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.226 0.003 0.002 0.001% 0.130% 0.000 1 MobilenetV2/expanded_conv_5/expand/Conv2D_bn_offset 2018-05-07 23:36:34.987304: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.228 0.002 0.002 0.002% 0.131% 0.000 1 Const_102 2018-05-07 23:36:34.987310: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.231 0.002 0.002 0.001% 0.133% 0.000 1 Const_94 2018-05-07 23:36:34.987316: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.234 0.002 0.002 0.001% 0.134% 0.000 1 Const_252 2018-05-07 23:36:34.987322: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.237 0.002 0.002 0.001% 0.135% 0.000 1 Const_76 2018-05-07 23:36:34.987327: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.239 0.001 0.002 0.001% 0.137% 0.000 1 Const_116 2018-05-07 23:36:34.987333: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.242 0.002 0.002 0.002% 0.139% 0.000 1 Const_215 2018-05-07 23:36:34.987340: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.245 0.002 0.002 0.002% 0.140% 0.000 1 MobilenetV2/expanded_conv_5/project/Conv2D_bn_offset 2018-05-07 23:36:34.987351: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.248 0.002 0.002 0.002% 0.142% 0.000 1 Const_227 2018-05-07 23:36:34.987363: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.251 0.002 0.002 0.001% 0.143% 0.000 1 MobilenetV2/expanded_conv_4/expand/Conv2D_bn_offset 2018-05-07 23:36:34.987375: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.253 0.002 0.002 0.002% 0.145% 0.000 1 Const_221 2018-05-07 23:36:34.987387: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.256 0.001 0.002 0.001% 0.146% 0.000 1 Const 2018-05-07 23:36:34.987394: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.259 0.001 0.002 0.001% 0.147% 0.000 1 Const_219 2018-05-07 23:36:34.987400: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.262 0.002 0.002 0.001% 0.149% 0.000 1 Const_145 2018-05-07 23:36:34.987406: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.264 0.002 0.002 0.001% 0.150% 0.000 1 Const_147 2018-05-07 23:36:34.987414: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.267 0.002 0.002 0.002% 0.152% 0.000 1 Const_193 2018-05-07 23:36:34.987420: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.270 0.001 0.002 0.002% 0.153% 0.000 1 MobilenetV2/expanded_conv_4/project/Conv2D_bn_offset 2018-05-07 23:36:34.987432: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.273 0.002 0.002 0.002% 0.155% 0.000 1 Const_3 2018-05-07 23:36:34.987440: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.276 0.001 0.002 0.001% 0.156% 0.000 1 MobilenetV2/expanded_conv_2/expand/Conv2D_bn_offset 2018-05-07 23:36:34.987446: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.279 0.002 0.002 0.002% 0.158% 0.000 1 Const_119 2018-05-07 23:36:34.987453: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.281 0.002 0.002 0.001% 0.159% 0.000 1 Const_26 2018-05-07 23:36:34.987459: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.284 0.002 0.002 0.001% 0.161% 0.000 1 Const_245 2018-05-07 23:36:34.987464: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.287 0.001 0.002 0.001% 0.162% 0.000 1 Const_91 2018-05-07 23:36:34.987470: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.289 0.001 0.002 0.001% 0.163% 0.000 1 Const_66 2018-05-07 23:36:34.987476: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.292 0.002 0.002 0.002% 0.165% 0.000 1 Const_115 2018-05-07 23:36:34.987484: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.295 0.002 0.002 0.001% 0.166% 0.000 1 MobilenetV2/expanded_conv_2/project/Conv2D_bn_offset 2018-05-07 23:36:34.987499: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.297 0.002 0.002 0.002% 0.168% 0.000 1 Const_90 2018-05-07 23:36:34.987511: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.300 0.002 0.002 0.001% 0.169% 0.000 1 MobilenetV2/Conv/Conv2D_bn_offset 2018-05-07 23:36:34.987524: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.303 0.002 0.002 0.002% 0.171% 0.000 1 Const_238 2018-05-07 23:36:34.987535: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.306 0.003 0.002 0.001% 0.172% 0.000 1 Const_198 2018-05-07 23:36:34.987545: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.309 0.002 0.002 0.001% 0.174% 0.000 1 Const_37 2018-05-07 23:36:34.987554: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.311 0.002 0.002 0.001% 0.175% 0.000 1 Const_138 2018-05-07 23:36:34.987560: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.314 0.001 0.002 0.001% 0.176% 0.000 1 Const_120 2018-05-07 23:36:34.987566: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.317 0.003 0.002 0.002% 0.178% 0.000 1 Const_167 2018-05-07 23:36:34.987572: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.320 0.001 0.002 0.001% 0.179% 0.000 1 MobilenetV2/expanded_conv/project/Conv2D_bn_offset 2018-05-07 23:36:34.987578: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.322 0.002 0.002 0.002% 0.181% 0.000 1 Const_165 2018-05-07 23:36:34.987588: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.325 0.001 0.002 0.001% 0.182% 0.000 1 MobilenetV2/expanded_conv_1/expand/Conv2D_bn_offset 2018-05-07 23:36:34.987596: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.328 0.002 0.002 0.002% 0.184% 0.000 1 Const_99 2018-05-07 23:36:34.987603: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.331 0.001 0.002 0.001% 0.185% 0.000 1 Const_103 2018-05-07 23:36:34.987608: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.334 0.002 0.002 0.001% 0.187% 0.000 1 Const_82 2018-05-07 23:36:34.987614: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.336 0.002 0.002 0.001% 0.188% 0.000 1 Const_178 2018-05-07 23:36:34.987620: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.339 0.001 0.002 0.001% 0.189% 0.000 1 Const_118 2018-05-07 23:36:34.987626: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.341 0.002 0.002 0.002% 0.191% 0.000 1 Const_73 2018-05-07 23:36:34.987632: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.344 0.002 0.002 0.002% 0.193% 0.000 1 MobilenetV2/expanded_conv_1/project/Conv2D_bn_offset 2018-05-07 23:36:34.987638: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.347 0.002 0.002 0.002% 0.194% 0.000 1 Const_255 2018-05-07 23:36:34.987645: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.350 0.002 0.002 0.001% 0.196% 0.000 1 MobilenetV2/expanded_conv_3/expand/Conv2D_bn_offset 2018-05-07 23:36:34.987659: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.353 0.002 0.002 0.002% 0.197% 0.000 1 Const_216 2018-05-07 23:36:34.987671: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.356 0.002 0.002 0.001% 0.199% 0.000 1 Const_253 2018-05-07 23:36:34.987683: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.359 0.002 0.002 0.001% 0.200% 0.000 1 Const_111 2018-05-07 23:36:34.987692: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.362 0.001 0.002 0.001% 0.202% 0.000 1 Const_23 2018-05-07 23:36:34.987698: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.364 0.001 0.002 0.001% 0.203% 0.000 1 Const_207 2018-05-07 23:36:34.987704: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.367 0.002 0.002 0.002% 0.204% 0.000 1 Const_157 2018-05-07 23:36:34.987710: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.370 0.001 0.002 0.001% 0.206% 0.000 1 MobilenetV2/expanded_conv_3/project/Conv2D_bn_offset 2018-05-07 23:36:34.987716: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.373 0.002 0.002 0.002% 0.208% 0.000 1 Const_226 2018-05-07 23:36:34.987722: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.376 0.001 0.002 0.001% 0.209% 0.000 1 MobilenetV2/expanded_conv_6/expand/Conv2D_bn_offset 2018-05-07 23:36:34.987732: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.378 0.002 0.002 0.002% 0.211% 0.000 1 Const_163 2018-05-07 23:36:34.987745: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.381 0.001 0.002 0.001% 0.212% 0.000 1 Const_223 2018-05-07 23:36:34.987751: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.384 0.003 0.002 0.001% 0.213% 0.000 1 Const_31 2018-05-07 23:36:34.987757: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.387 0.002 0.002 0.001% 0.215% 0.000 1 Const_166 2018-05-07 23:36:34.987763: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.389 0.002 0.002 0.001% 0.216% 0.000 1 Const_45 2018-05-07 23:36:34.987769: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.392 0.002 0.002 0.002% 0.218% 0.000 1 Const_229 2018-05-07 23:36:34.987778: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.395 0.002 0.002 0.001% 0.219% 0.000 1 MobilenetV2/expanded_conv_6/project/Conv2D_bn_offset 2018-05-07 23:36:34.987784: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.398 0.002 0.002 0.002% 0.221% 0.000 1 Const_169 2018-05-07 23:36:34.987791: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.401 0.002 0.002 0.001% 0.222% 0.000 1 MobilenetV2/expanded_conv_10/expand/Conv2D_bn_offset 2018-05-07 23:36:34.987803: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.403 0.002 0.002 0.002% 0.224% 0.000 1 Const_2 2018-05-07 23:36:34.987815: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.406 0.002 0.002 0.001% 0.225% 0.000 1 Const_97 2018-05-07 23:36:34.987827: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.409 0.001 0.002 0.001% 0.226% 0.000 1 Const_173 2018-05-07 23:36:34.987838: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.412 0.001 0.002 0.001% 0.228% 0.000 1 Const_17 2018-05-07 23:36:34.987844: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.414 0.002 0.002 0.001% 0.229% 0.000 1 Const_6 2018-05-07 23:36:34.987850: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.417 0.002 0.002 0.002% 0.231% 0.000 1 Const_246 2018-05-07 23:36:34.987856: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.420 0.002 0.002 0.001% 0.232% 0.000 1 MobilenetV2/expanded_conv_10/project/Conv2D_bn_offset 2018-05-07 23:36:34.987862: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.423 0.003 0.002 0.002% 0.234% 0.000 1 Const_114 2018-05-07 23:36:34.987868: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.426 0.002 0.002 0.002% 0.236% 0.000 1 MobilenetV2/expanded_conv_13/expand/Conv2D_bn_offset 2018-05-07 23:36:34.987877: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.429 0.002 0.002 0.002% 0.237% 0.000 1 Const_65 2018-05-07 23:36:34.987887: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.432 0.002 0.002 0.001% 0.239% 0.000 1 Const_154 2018-05-07 23:36:34.987893: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.435 0.001 0.002 0.001% 0.240% 0.000 1 Const_7 2018-05-07 23:36:34.987902: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.437 0.001 0.002 0.001% 0.241% 0.000 1 Const_249 2018-05-07 23:36:34.987907: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.440 0.002 0.002 0.001% 0.243% 0.000 1 Const_237 2018-05-07 23:36:34.987913: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.443 0.002 0.002 0.002% 0.245% 0.000 1 Const_242 2018-05-07 23:36:34.987919: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.446 0.001 0.003 0.002% 0.247% 0.000 1 MobilenetV2/expanded_conv_13/project/Conv2D_bn_offset 2018-05-07 23:36:34.987925: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.451 0.003 0.003 0.002% 0.248% 0.000 1 Const_60 2018-05-07 23:36:34.987931: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.454 0.002 0.002 0.001% 0.250% 0.000 1 MobilenetV2/expanded_conv_16/expand/Conv2D_bn_offset 2018-05-07 23:36:34.987937: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.457 0.002 0.002 0.002% 0.251% 0.000 1 Const_248 2018-05-07 23:36:34.987947: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.460 0.002 0.002 0.002% 0.253% 0.000 1 Const_204 2018-05-07 23:36:34.987959: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.463 0.001 0.002 0.001% 0.254% 0.000 1 Const_49 2018-05-07 23:36:34.987971: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.466 0.003 0.002 0.001% 0.256% 0.000 1 Const_38 2018-05-07 23:36:34.987983: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.468 0.003 0.002 0.001% 0.257% 0.000 1 Const_217 2018-05-07 23:36:34.987990: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.471 0.003 0.002 0.002% 0.259% 0.000 1 Const_100 2018-05-07 23:36:34.987996: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.474 0.001 0.002 0.001% 0.260% 0.000 1 MobilenetV2/expanded_conv_16/project/Conv2D_bn_offset 2018-05-07 23:36:34.988002: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.477 0.002 0.002 0.002% 0.262% 0.000 1 Const_71 2018-05-07 23:36:34.988008: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.480 0.001 0.002 0.002% 0.263% 0.000 1 MobilenetV2/Conv_1/Conv2D_bn_offset 2018-05-07 23:36:34.988014: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.483 0.002 0.002 0.002% 0.265% 0.000 1 Const_222 2018-05-07 23:36:34.988025: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.485 0.002 0.002 0.001% 0.266% 0.000 1 Const_69 2018-05-07 23:36:34.988033: I tensorflow/core/util/stat_summarizer.cc:468] _Arg 0.488 0.003 0.003 0.002% 0.268% 0.000 1 _arg_input_0_0 2018-05-07 23:36:34.988040: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.772 0.003 0.003 0.002% 0.270% 0.000 1 Const_133 2018-05-07 23:36:34.988046: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.776 0.002 0.002 0.002% 0.272% 0.000 1 MobilenetV2/expanded_conv_15/expand/Conv2D_bn_offset 2018-05-07 23:36:34.988052: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.779 0.002 0.003 0.002% 0.274% 0.000 1 Const_130 2018-05-07 23:36:34.988058: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.783 0.002 0.002 0.002% 0.276% 0.000 1 Const_152 2018-05-07 23:36:34.988063: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.786 0.002 0.002 0.002% 0.277% 0.000 1 Const_195 2018-05-07 23:36:34.988070: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.789 0.001 0.002 0.002% 0.279% 0.000 1 Const_151 2018-05-07 23:36:34.988081: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.792 0.002 0.002 0.002% 0.281% 0.000 1 Const_19 2018-05-07 23:36:34.988088: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.795 0.003 0.003 0.002% 0.283% 0.000 1 Const_258 2018-05-07 23:36:34.988099: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.799 0.002 0.002 0.002% 0.284% 0.000 1 MobilenetV2/expanded_conv_15/project/Conv2D_bn_offset 2018-05-07 23:36:34.988111: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.802 0.002 0.003 0.002% 0.286% 0.000 1 Const_203 2018-05-07 23:36:34.988123: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.806 0.001 0.002 0.002% 0.288% 0.000 1 MobilenetV2/expanded_conv_14/expand/Conv2D_bn_offset 2018-05-07 23:36:34.988134: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.809 0.002 0.003 0.002% 0.290% 0.000 1 Const_250 2018-05-07 23:36:34.988142: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.813 0.002 0.002 0.001% 0.291% 0.000 1 Const_10 2018-05-07 23:36:34.988150: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.815 0.001 0.002 0.002% 0.293% 0.000 1 Const_67 2018-05-07 23:36:34.988156: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.819 0.002 0.002 0.002% 0.295% 0.000 1 Const_259 2018-05-07 23:36:34.988162: I tensorflow/core/util/stat_summarizer.cc:468] Const 0.822 0.003 0.002 0.002% 0.296% 0.000 1 Const_228 2018-05-07 23:36:34.988168: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 0.517 3.094 3.709 2.662% 2.959% 2408.448 1 MobilenetV2/Conv/Conv2D 2018-05-07 23:36:34.988177: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 4.238 0.217 0.272 0.195% 3.154% 0.000 1 MobilenetV2/Conv/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988185: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 4.513 0.132 0.169 0.122% 3.275% 0.000 1 MobilenetV2/Conv/Relu6 2018-05-07 23:36:34.988192: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 4.685 3.521 4.225 3.033% 6.308% 2410.176 1 MobilenetV2/expanded_conv/depthwise/depthwise 2018-05-07 23:36:34.988198: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 8.920 14.317 16.281 11.685% 17.993% 0.768 1 MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988204: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 25.207 0.128 0.193 0.138% 18.132% 0.000 1 MobilenetV2/expanded_conv/depthwise/Relu6 2018-05-07 23:36:34.988210: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 25.403 0.549 0.674 0.484% 18.616% 1204.224 1 MobilenetV2/expanded_conv/project/Conv2D 2018-05-07 23:36:34.988216: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 26.086 0.106 0.128 0.092% 18.707% 0.000 1 MobilenetV2/expanded_conv/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988222: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 26.217 2.403 2.208 1.585% 20.292% 7225.344 1 MobilenetV2/expanded_conv_1/expand/Conv2D 2018-05-07 23:36:34.988228: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 28.435 0.757 0.875 0.628% 20.920% 0.000 1 MobilenetV2/expanded_conv_1/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988234: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 29.316 0.687 0.755 0.542% 21.462% 0.000 1 MobilenetV2/expanded_conv_1/expand/Relu6 2018-05-07 23:36:34.988240: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 30.076 2.370 2.887 2.072% 23.534% 1811.520 1 MobilenetV2/expanded_conv_1/depthwise/depthwise 2018-05-07 23:36:34.988250: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 32.973 10.713 12.046 8.646% 32.180% 2.304 1 MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988261: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 45.025 0.167 0.144 0.104% 32.284% 0.000 1 MobilenetV2/expanded_conv_1/depthwise/Relu6 2018-05-07 23:36:34.988273: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 45.172 0.667 0.629 0.452% 32.735% 401.408 1 MobilenetV2/expanded_conv_1/project/Conv2D 2018-05-07 23:36:34.988285: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 45.811 0.041 0.048 0.034% 32.769% 0.000 1 MobilenetV2/expanded_conv_1/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988294: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 45.861 0.682 0.807 0.579% 33.348% 2408.448 1 MobilenetV2/expanded_conv_2/expand/Conv2D 2018-05-07 23:36:34.988300: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 46.675 0.243 0.270 0.194% 33.542% 0.000 1 MobilenetV2/expanded_conv_2/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988306: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 46.947 0.124 0.171 0.123% 33.665% 0.000 1 MobilenetV2/expanded_conv_2/expand/Relu6 2018-05-07 23:36:34.988312: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 47.121 2.755 3.474 2.494% 36.159% 2415.360 1 MobilenetV2/expanded_conv_2/depthwise/depthwise 2018-05-07 23:36:34.988320: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 50.605 14.265 16.049 11.519% 47.678% 3.072 1 MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988331: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 66.660 0.118 0.198 0.142% 47.820% 0.000 1 MobilenetV2/expanded_conv_2/depthwise/Relu6 2018-05-07 23:36:34.988341: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 66.860 0.666 0.832 0.597% 48.417% 401.408 1 MobilenetV2/expanded_conv_2/project/Conv2D 2018-05-07 23:36:34.988348: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 67.711 0.038 0.046 0.033% 48.450% 0.000 1 MobilenetV2/expanded_conv_2/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988354: I tensorflow/core/util/stat_summarizer.cc:468] Add 67.759 0.046 0.053 0.038% 48.488% 0.000 1 MobilenetV2/expanded_conv_2/add 2018-05-07 23:36:34.988360: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 67.816 0.615 0.767 0.551% 49.039% 2408.448 1 MobilenetV2/expanded_conv_3/expand/Conv2D 2018-05-07 23:36:34.988367: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 68.590 0.207 0.265 0.190% 49.229% 0.000 1 MobilenetV2/expanded_conv_3/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988375: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 68.857 0.106 0.166 0.119% 49.348% 0.000 1 MobilenetV2/expanded_conv_3/expand/Relu6 2018-05-07 23:36:34.988381: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 69.026 0.707 0.909 0.653% 50.001% 609.024 1 MobilenetV2/expanded_conv_3/depthwise/depthwise 2018-05-07 23:36:34.988387: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 69.942 3.575 4.168 2.991% 52.992% 3.072 1 MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988393: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 74.115 0.027 0.045 0.032% 53.025% 0.000 1 MobilenetV2/expanded_conv_3/depthwise/Relu6 2018-05-07 23:36:34.988401: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 74.163 0.233 0.287 0.206% 53.230% 150.528 1 MobilenetV2/expanded_conv_3/project/Conv2D 2018-05-07 23:36:34.988412: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 74.457 0.015 0.021 0.015% 53.245% 0.000 1 MobilenetV2/expanded_conv_3/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988424: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 74.479 0.299 0.372 0.267% 53.512% 903.168 1 MobilenetV2/expanded_conv_4/expand/Conv2D 2018-05-07 23:36:34.988436: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 74.857 0.078 0.098 0.070% 53.583% 0.000 1 MobilenetV2/expanded_conv_4/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988445: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 74.956 0.040 0.049 0.035% 53.618% 0.000 1 MobilenetV2/expanded_conv_4/expand/Relu6 2018-05-07 23:36:34.988451: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 75.007 1.044 1.331 0.955% 54.573% 913.536 1 MobilenetV2/expanded_conv_4/depthwise/depthwise 2018-05-07 23:36:34.988457: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 76.346 5.352 6.104 4.381% 58.954% 4.608 1 MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988463: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 82.455 0.039 0.069 0.049% 59.004% 0.000 1 MobilenetV2/expanded_conv_4/depthwise/Relu6 2018-05-07 23:36:34.988469: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 82.525 0.298 0.405 0.290% 59.294% 150.528 1 MobilenetV2/expanded_conv_4/project/Conv2D 2018-05-07 23:36:34.988475: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 82.937 0.016 0.021 0.015% 59.309% 0.000 1 MobilenetV2/expanded_conv_4/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988486: I tensorflow/core/util/stat_summarizer.cc:468] Add 82.960 0.014 0.021 0.015% 59.324% 0.000 1 MobilenetV2/expanded_conv_4/add 2018-05-07 23:36:34.988496: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 82.983 0.283 0.369 0.265% 59.589% 903.168 1 MobilenetV2/expanded_conv_5/expand/Conv2D 2018-05-07 23:36:34.988502: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 83.357 0.079 0.096 0.069% 59.658% 0.000 1 MobilenetV2/expanded_conv_5/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988508: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 83.454 0.039 0.049 0.035% 59.693% 0.000 1 MobilenetV2/expanded_conv_5/expand/Relu6 2018-05-07 23:36:34.988514: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 83.505 1.036 1.301 0.933% 60.626% 913.536 1 MobilenetV2/expanded_conv_5/depthwise/depthwise 2018-05-07 23:36:34.988520: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 84.812 5.364 6.055 4.346% 64.972% 4.608 1 MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988526: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 90.872 0.040 0.063 0.045% 65.017% 0.000 1 MobilenetV2/expanded_conv_5/depthwise/Relu6 2018-05-07 23:36:34.988532: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 90.937 0.315 0.374 0.269% 65.286% 150.528 1 MobilenetV2/expanded_conv_5/project/Conv2D 2018-05-07 23:36:34.988538: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 91.318 0.016 0.019 0.014% 65.300% 0.000 1 MobilenetV2/expanded_conv_5/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988544: I tensorflow/core/util/stat_summarizer.cc:468] Add 91.339 0.013 0.020 0.014% 65.314% 0.000 1 MobilenetV2/expanded_conv_5/add 2018-05-07 23:36:34.988550: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 91.361 0.293 0.360 0.259% 65.572% 903.168 1 MobilenetV2/expanded_conv_6/expand/Conv2D 2018-05-07 23:36:34.988560: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 91.726 0.078 0.094 0.067% 65.640% 0.000 1 MobilenetV2/expanded_conv_6/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988573: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 91.822 0.040 0.047 0.033% 65.673% 0.000 1 MobilenetV2/expanded_conv_6/expand/Relu6 2018-05-07 23:36:34.988585: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 91.870 0.268 0.332 0.239% 65.912% 236.160 1 MobilenetV2/expanded_conv_6/depthwise/depthwise 2018-05-07 23:36:34.988595: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 92.207 1.348 1.533 1.100% 67.012% 4.608 1 MobilenetV2/expanded_conv_6/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988602: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 93.744 0.010 0.016 0.012% 67.024% 0.000 1 MobilenetV2/expanded_conv_6/depthwise/Relu6 2018-05-07 23:36:34.988610: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 93.762 0.156 0.192 0.138% 67.161% 68.992 1 MobilenetV2/expanded_conv_6/project/Conv2D 2018-05-07 23:36:34.988616: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 93.956 0.008 0.010 0.007% 67.169% 0.000 1 MobilenetV2/expanded_conv_6/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988622: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 93.968 0.244 0.300 0.215% 67.384% 413.952 1 MobilenetV2/expanded_conv_7/expand/Conv2D 2018-05-07 23:36:34.988628: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 94.273 0.037 0.043 0.031% 67.415% 0.000 1 MobilenetV2/expanded_conv_7/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988636: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 94.318 0.019 0.021 0.015% 67.430% 0.000 1 MobilenetV2/expanded_conv_7/expand/Relu6 2018-05-07 23:36:34.988646: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 94.341 0.482 0.565 0.405% 67.836% 432.960 1 MobilenetV2/expanded_conv_7/depthwise/depthwise 2018-05-07 23:36:34.988657: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 94.911 2.455 2.791 2.003% 69.839% 8.448 1 MobilenetV2/expanded_conv_7/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988667: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 97.706 0.019 0.032 0.023% 69.862% 0.000 1 MobilenetV2/expanded_conv_7/depthwise/Relu6 2018-05-07 23:36:34.988677: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 97.739 0.264 0.322 0.231% 70.093% 68.992 1 MobilenetV2/expanded_conv_7/project/Conv2D 2018-05-07 23:36:34.988705: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 98.065 0.008 0.011 0.008% 70.101% 0.000 1 MobilenetV2/expanded_conv_7/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988717: I tensorflow/core/util/stat_summarizer.cc:468] Add 98.077 0.007 0.011 0.008% 70.108% 0.000 1 MobilenetV2/expanded_conv_7/add 2018-05-07 23:36:34.988729: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 98.089 0.234 0.305 0.219% 70.327% 413.952 1 MobilenetV2/expanded_conv_8/expand/Conv2D 2018-05-07 23:36:34.988741: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 98.400 0.038 0.045 0.032% 70.359% 0.000 1 MobilenetV2/expanded_conv_8/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988753: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 98.447 0.018 0.022 0.016% 70.375% 0.000 1 MobilenetV2/expanded_conv_8/expand/Relu6 2018-05-07 23:36:34.988765: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 98.470 0.474 0.592 0.425% 70.800% 432.960 1 MobilenetV2/expanded_conv_8/depthwise/depthwise 2018-05-07 23:36:34.988779: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 99.067 2.456 2.834 2.034% 72.834% 8.448 1 MobilenetV2/expanded_conv_8/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988790: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 101.905 0.019 0.029 0.021% 72.855% 0.000 1 MobilenetV2/expanded_conv_8/depthwise/Relu6 2018-05-07 23:36:34.988806: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 101.936 0.248 0.308 0.221% 73.076% 68.992 1 MobilenetV2/expanded_conv_8/project/Conv2D 2018-05-07 23:36:34.988818: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 102.246 0.008 0.011 0.008% 73.083% 0.000 1 MobilenetV2/expanded_conv_8/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988830: I tensorflow/core/util/stat_summarizer.cc:468] Add 102.258 0.006 0.010 0.007% 73.090% 0.000 1 MobilenetV2/expanded_conv_8/add 2018-05-07 23:36:34.988841: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 102.271 0.237 0.302 0.217% 73.308% 413.952 1 MobilenetV2/expanded_conv_9/expand/Conv2D 2018-05-07 23:36:34.988853: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 102.579 0.037 0.045 0.033% 73.340% 0.000 1 MobilenetV2/expanded_conv_9/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988864: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 102.626 0.019 0.022 0.015% 73.356% 0.000 1 MobilenetV2/expanded_conv_9/expand/Relu6 2018-05-07 23:36:34.988876: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 102.649 0.479 0.593 0.426% 73.782% 432.960 1 MobilenetV2/expanded_conv_9/depthwise/depthwise 2018-05-07 23:36:34.988888: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 103.247 2.455 2.802 2.011% 75.793% 8.448 1 MobilenetV2/expanded_conv_9/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988900: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 106.054 0.018 0.030 0.022% 75.814% 0.000 1 MobilenetV2/expanded_conv_9/depthwise/Relu6 2018-05-07 23:36:34.988913: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 106.086 0.247 0.313 0.225% 76.039% 68.992 1 MobilenetV2/expanded_conv_9/project/Conv2D 2018-05-07 23:36:34.988925: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 106.401 0.008 0.011 0.008% 76.047% 0.000 1 MobilenetV2/expanded_conv_9/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988937: I tensorflow/core/util/stat_summarizer.cc:468] Add 106.413 0.006 0.010 0.007% 76.054% 0.000 1 MobilenetV2/expanded_conv_9/add 2018-05-07 23:36:34.988964: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 106.425 0.234 0.294 0.211% 76.265% 413.952 1 MobilenetV2/expanded_conv_10/expand/Conv2D 2018-05-07 23:36:34.988979: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 106.725 0.037 0.044 0.031% 76.296% 0.000 1 MobilenetV2/expanded_conv_10/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.988990: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 106.771 0.018 0.022 0.016% 76.312% 0.000 1 MobilenetV2/expanded_conv_10/expand/Relu6 2018-05-07 23:36:34.989000: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 106.794 0.482 0.565 0.406% 76.718% 432.960 1 MobilenetV2/expanded_conv_10/depthwise/depthwise 2018-05-07 23:36:34.989012: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 107.365 2.468 2.754 1.976% 78.694% 8.448 1 MobilenetV2/expanded_conv_10/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989024: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 110.123 0.019 0.030 0.021% 78.716% 0.000 1 MobilenetV2/expanded_conv_10/depthwise/Relu6 2018-05-07 23:36:34.989035: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 110.154 0.366 0.454 0.326% 79.042% 106.624 1 MobilenetV2/expanded_conv_10/project/Conv2D 2018-05-07 23:36:34.989048: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 110.615 0.012 0.015 0.011% 79.052% 0.000 1 MobilenetV2/expanded_conv_10/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989059: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 110.631 0.549 0.696 0.499% 79.552% 639.744 1 MobilenetV2/expanded_conv_11/expand/Conv2D 2018-05-07 23:36:34.989070: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 111.334 0.056 0.069 0.050% 79.602% 0.000 1 MobilenetV2/expanded_conv_11/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989173: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 111.405 0.028 0.035 0.025% 79.626% 0.000 1 MobilenetV2/expanded_conv_11/expand/Relu6 2018-05-07 23:36:34.989193: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 111.441 0.758 0.908 0.652% 80.278% 669.120 1 MobilenetV2/expanded_conv_11/depthwise/depthwise 2018-05-07 23:36:34.989205: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 112.357 3.792 4.312 3.095% 83.373% 13.056 1 MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989215: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 116.674 0.028 0.045 0.032% 83.406% 0.000 1 MobilenetV2/expanded_conv_11/depthwise/Relu6 2018-05-07 23:36:34.989226: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 116.721 0.554 0.664 0.476% 83.882% 106.624 1 MobilenetV2/expanded_conv_11/project/Conv2D 2018-05-07 23:36:34.989241: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 117.392 0.011 0.014 0.010% 83.892% 0.000 1 MobilenetV2/expanded_conv_11/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989252: I tensorflow/core/util/stat_summarizer.cc:468] Add 117.407 0.010 0.015 0.010% 83.903% 0.000 1 MobilenetV2/expanded_conv_11/add 2018-05-07 23:36:34.989456: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 117.424 0.530 0.673 0.483% 84.386% 639.744 1 MobilenetV2/expanded_conv_12/expand/Conv2D 2018-05-07 23:36:34.989471: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 118.103 0.056 0.068 0.049% 84.435% 0.000 1 MobilenetV2/expanded_conv_12/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989484: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 118.173 0.028 0.034 0.024% 84.459% 0.000 1 MobilenetV2/expanded_conv_12/expand/Relu6 2018-05-07 23:36:34.989495: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 118.209 0.761 0.880 0.632% 85.091% 669.120 1 MobilenetV2/expanded_conv_12/depthwise/depthwise 2018-05-07 23:36:34.989505: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 119.095 3.795 4.205 3.018% 88.110% 13.056 1 MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989603: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 123.305 0.028 0.044 0.032% 88.142% 0.000 1 MobilenetV2/expanded_conv_12/depthwise/Relu6 2018-05-07 23:36:34.989617: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 123.351 0.545 0.668 0.479% 88.621% 106.624 1 MobilenetV2/expanded_conv_12/project/Conv2D 2018-05-07 23:36:34.989629: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 124.025 0.012 0.014 0.010% 88.631% 0.000 1 MobilenetV2/expanded_conv_12/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989636: I tensorflow/core/util/stat_summarizer.cc:468] Add 124.041 0.008 0.014 0.010% 88.641% 0.000 1 MobilenetV2/expanded_conv_12/add 2018-05-07 23:36:34.989642: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 124.058 0.531 0.661 0.474% 89.115% 639.744 1 MobilenetV2/expanded_conv_13/expand/Conv2D 2018-05-07 23:36:34.989648: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 124.724 0.056 0.066 0.047% 89.163% 0.000 1 MobilenetV2/expanded_conv_13/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989654: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 124.792 0.028 0.034 0.024% 89.187% 0.000 1 MobilenetV2/expanded_conv_13/expand/Relu6 2018-05-07 23:36:34.989661: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 124.827 0.196 0.231 0.166% 89.352% 189.312 1 MobilenetV2/expanded_conv_13/depthwise/depthwise 2018-05-07 23:36:34.989671: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 125.062 0.962 1.071 0.769% 90.121% 13.056 1 MobilenetV2/expanded_conv_13/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989679: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 126.136 0.008 0.011 0.008% 90.129% 0.000 1 MobilenetV2/expanded_conv_13/depthwise/Relu6 2018-05-07 23:36:34.989688: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 126.149 0.310 0.384 0.275% 90.405% 43.904 1 MobilenetV2/expanded_conv_13/project/Conv2D 2018-05-07 23:36:34.989694: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 126.536 0.006 0.008 0.006% 90.411% 0.000 1 MobilenetV2/expanded_conv_13/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989700: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 126.546 0.510 0.625 0.448% 90.859% 263.424 1 MobilenetV2/expanded_conv_14/expand/Conv2D 2018-05-07 23:36:34.989705: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 127.178 0.026 0.031 0.022% 90.881% 0.000 1 MobilenetV2/expanded_conv_14/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989711: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 127.210 0.012 0.014 0.010% 90.891% 0.000 1 MobilenetV2/expanded_conv_14/expand/Relu6 2018-05-07 23:36:34.989717: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 127.226 0.317 0.366 0.263% 91.154% 311.808 1 MobilenetV2/expanded_conv_14/depthwise/depthwise 2018-05-07 23:36:34.989723: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 127.597 1.643 1.774 1.273% 92.428% 21.504 1 MobilenetV2/expanded_conv_14/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989730: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 129.375 0.012 0.019 0.014% 92.442% 0.000 1 MobilenetV2/expanded_conv_14/depthwise/Relu6 2018-05-07 23:36:34.989741: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 129.395 0.502 0.606 0.435% 92.877% 43.904 1 MobilenetV2/expanded_conv_14/project/Conv2D 2018-05-07 23:36:34.989753: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 130.004 0.006 0.008 0.006% 92.883% 0.000 1 MobilenetV2/expanded_conv_14/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989765: I tensorflow/core/util/stat_summarizer.cc:468] Add 130.014 0.008 0.009 0.006% 92.889% 0.000 1 MobilenetV2/expanded_conv_14/add 2018-05-07 23:36:34.989775: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 130.025 0.510 0.609 0.437% 93.326% 263.424 1 MobilenetV2/expanded_conv_15/expand/Conv2D 2018-05-07 23:36:34.989782: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 130.641 0.025 0.031 0.022% 93.348% 0.000 1 MobilenetV2/expanded_conv_15/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989788: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 130.674 0.012 0.015 0.010% 93.359% 0.000 1 MobilenetV2/expanded_conv_15/expand/Relu6 2018-05-07 23:36:34.989794: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 130.690 0.297 0.365 0.262% 93.621% 311.808 1 MobilenetV2/expanded_conv_15/depthwise/depthwise 2018-05-07 23:36:34.989802: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 131.059 1.569 1.753 1.258% 94.879% 21.504 1 MobilenetV2/expanded_conv_15/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989809: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 132.816 0.012 0.017 0.012% 94.891% 0.000 1 MobilenetV2/expanded_conv_15/depthwise/Relu6 2018-05-07 23:36:34.989819: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 132.834 0.496 0.593 0.426% 95.317% 43.904 1 MobilenetV2/expanded_conv_15/project/Conv2D 2018-05-07 23:36:34.989826: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 133.430 0.007 0.008 0.006% 95.323% 0.000 1 MobilenetV2/expanded_conv_15/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989832: I tensorflow/core/util/stat_summarizer.cc:468] Add 133.440 0.005 0.008 0.006% 95.329% 0.000 1 MobilenetV2/expanded_conv_15/add 2018-05-07 23:36:34.989838: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 133.450 0.495 0.592 0.425% 95.754% 263.424 1 MobilenetV2/expanded_conv_16/expand/Conv2D 2018-05-07 23:36:34.989844: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 134.048 0.025 0.029 0.021% 95.775% 0.000 1 MobilenetV2/expanded_conv_16/expand/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989850: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 134.079 0.012 0.014 0.010% 95.785% 0.000 1 MobilenetV2/expanded_conv_16/expand/Relu6 2018-05-07 23:36:34.989856: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 134.094 0.300 0.349 0.251% 96.035% 311.808 1 MobilenetV2/expanded_conv_16/depthwise/depthwise 2018-05-07 23:36:34.989862: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 134.448 1.574 1.718 1.233% 97.268% 21.504 1 MobilenetV2/expanded_conv_16/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989868: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 136.169 0.012 0.017 0.012% 97.280% 0.000 1 MobilenetV2/expanded_conv_16/depthwise/Relu6 2018-05-07 23:36:34.989874: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 136.187 0.998 1.176 0.844% 98.125% 87.808 1 MobilenetV2/expanded_conv_16/project/Conv2D 2018-05-07 23:36:34.989886: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 137.367 0.010 0.012 0.009% 98.133% 0.000 1 MobilenetV2/expanded_conv_16/project/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989899: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 137.381 1.479 1.769 1.270% 99.403% 351.232 1 MobilenetV2/Conv_1/Conv2D 2018-05-07 23:36:34.989911: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 139.160 0.035 0.041 0.030% 99.433% 0.000 1 MobilenetV2/Conv_1/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.989926: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 139.203 0.017 0.019 0.014% 99.447% 0.000 1 MobilenetV2/Conv_1/Relu6 2018-05-07 23:36:34.989935: I tensorflow/core/util/stat_summarizer.cc:468] AvgPool 139.224 0.020 0.024 0.017% 99.464% 7.168 1 MobilenetV2/Logits/AvgPool 2018-05-07 23:36:34.989948: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 139.249 0.612 0.688 0.494% 99.958% 4.004 1 MobilenetV2/Logits/Conv2d_1c_1x1/Conv2D 2018-05-07 23:36:34.989956: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 139.943 0.005 0.006 0.004% 99.962% 0.000 1 MobilenetV2/Logits/Conv2d_1c_1x1/BiasAdd 2018-05-07 23:36:34.989962: I tensorflow/core/util/stat_summarizer.cc:468] Squeeze 139.950 0.005 0.006 0.004% 99.966% 0.000 1 MobilenetV2/Logits/Squeeze 2018-05-07 23:36:34.989970: I tensorflow/core/util/stat_summarizer.cc:468] Shape 139.970 0.004 0.005 0.004% 99.970% 0.008 1 MobilenetV2/Predictions/Shape 2018-05-07 23:36:34.989980: I tensorflow/core/util/stat_summarizer.cc:468] Softmax 139.976 0.022 0.032 0.023% 99.993% 0.000 1 MobilenetV2/Predictions/Softmax 2018-05-07 23:36:34.989986: I tensorflow/core/util/stat_summarizer.cc:468] Reshape 140.010 0.003 0.004 0.003% 99.995% 0.000 1 MobilenetV2/Predictions/Reshape_1 2018-05-07 23:36:34.989992: I tensorflow/core/util/stat_summarizer.cc:468] _Retval 140.015 0.005 0.006 0.005% 100.000% 0.000 1 _retval_MobilenetV2/Predictions/Reshape_1_0_0 2018-05-07 23:36:34.989998: I tensorflow/core/util/stat_summarizer.cc:468] 2018-05-07 23:36:34.990004: I tensorflow/core/util/stat_summarizer.cc:468] ============================== Top by Computation Time ============================== 2018-05-07 23:36:34.990010: I tensorflow/core/util/stat_summarizer.cc:468] [node type] [start] [first] [avg ms] [%] [cdf%] [mem KB] [times called] [Name] 2018-05-07 23:36:34.990016: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 8.920 14.317 16.281 11.685% 11.685% 0.768 1 MobilenetV2/expanded_conv/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.990022: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 50.605 14.265 16.049 11.519% 23.205% 3.072 1 MobilenetV2/expanded_conv_2/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.990028: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 32.973 10.713 12.046 8.646% 31.851% 2.304 1 MobilenetV2/expanded_conv_1/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.990037: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 76.346 5.352 6.104 4.381% 36.232% 4.608 1 MobilenetV2/expanded_conv_4/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.990044: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 84.812 5.364 6.055 4.346% 40.578% 4.608 1 MobilenetV2/expanded_conv_5/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.990055: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 112.357 3.792 4.312 3.095% 43.673% 13.056 1 MobilenetV2/expanded_conv_11/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.990067: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 4.685 3.521 4.225 3.033% 46.705% 2410.176 1 MobilenetV2/expanded_conv/depthwise/depthwise 2018-05-07 23:36:34.990079: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 119.095 3.795 4.205 3.018% 49.724% 13.056 1 MobilenetV2/expanded_conv_12/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.990089: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 69.942 3.575 4.168 2.991% 52.715% 3.072 1 MobilenetV2/expanded_conv_3/depthwise/BatchNorm/FusedBatchNorm 2018-05-07 23:36:34.990096: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 0.517 3.094 3.709 2.662% 55.377% 2408.448 1 MobilenetV2/Conv/Conv2D 2018-05-07 23:36:34.990102: I tensorflow/core/util/stat_summarizer.cc:468] 2018-05-07 23:36:34.990107: I tensorflow/core/util/stat_summarizer.cc:468] ============================== Top by Memory Use ============================== 2018-05-07 23:36:34.990113: I tensorflow/core/util/stat_summarizer.cc:468] [node type] [start] [first] [avg ms] [%] [cdf%] [mem KB] [times called] [Name] 2018-05-07 23:36:34.990119: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 26.217 2.403 2.208 1.585% 1.585% 7225.344 1 MobilenetV2/expanded_conv_1/expand/Conv2D 2018-05-07 23:36:34.990127: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 47.121 2.755 3.474 2.494% 4.079% 2415.360 1 MobilenetV2/expanded_conv_2/depthwise/depthwise 2018-05-07 23:36:34.990139: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 4.685 3.521 4.225 3.033% 7.111% 2410.176 1 MobilenetV2/expanded_conv/depthwise/depthwise 2018-05-07 23:36:34.990147: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 0.517 3.094 3.709 2.662% 9.773% 2408.448 1 MobilenetV2/Conv/Conv2D 2018-05-07 23:36:34.990153: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 67.816 0.615 0.767 0.551% 10.324% 2408.448 1 MobilenetV2/expanded_conv_3/expand/Conv2D 2018-05-07 23:36:34.990163: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 45.861 0.682 0.807 0.579% 10.903% 2408.448 1 MobilenetV2/expanded_conv_2/expand/Conv2D 2018-05-07 23:36:34.990169: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 30.076 2.370 2.887 2.072% 12.975% 1811.520 1 MobilenetV2/expanded_conv_1/depthwise/depthwise 2018-05-07 23:36:34.990175: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 25.403 0.549 0.674 0.484% 13.459% 1204.224 1 MobilenetV2/expanded_conv/project/Conv2D 2018-05-07 23:36:34.990181: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 83.505 1.036 1.301 0.933% 14.392% 913.536 1 MobilenetV2/expanded_conv_5/depthwise/depthwise 2018-05-07 23:36:34.990187: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 75.007 1.044 1.331 0.955% 15.348% 913.536 1 MobilenetV2/expanded_conv_4/depthwise/depthwise 2018-05-07 23:36:34.990194: I tensorflow/core/util/stat_summarizer.cc:468] 2018-05-07 23:36:34.990206: I tensorflow/core/util/stat_summarizer.cc:468] ============================== Summary by node type ============================== 2018-05-07 23:36:34.990218: I tensorflow/core/util/stat_summarizer.cc:468] [Node type] [count] [avg ms] [avg %] [cdf %] [mem KB] [times called] 2018-05-07 23:36:34.990229: I tensorflow/core/util/stat_summarizer.cc:468] FusedBatchNorm 17 88.240 63.409% 63.409% 160.512 17 2018-05-07 23:36:34.990239: I tensorflow/core/util/stat_summarizer.cc:468] Conv2D 36 24.969 17.943% 81.351% 25154.725 36 2018-05-07 23:36:34.990245: I tensorflow/core/util/stat_summarizer.cc:468] DepthwiseConv2dNative 17 19.866 14.276% 95.627% 13504.128 17 2018-05-07 23:36:34.990251: I tensorflow/core/util/stat_summarizer.cc:468] BiasAdd 36 2.873 2.065% 97.691% 0.000 36 2018-05-07 23:36:34.990257: I tensorflow/core/util/stat_summarizer.cc:468] Relu6 35 2.642 1.899% 99.590% 0.000 35 2018-05-07 23:36:34.990263: I tensorflow/core/util/stat_summarizer.cc:468] Const 157 0.256 0.184% 99.774% 0.000 157 2018-05-07 23:36:34.990269: I tensorflow/core/util/stat_summarizer.cc:468] Add 10 0.166 0.119% 99.893% 0.000 10 2018-05-07 23:36:34.990281: I tensorflow/core/util/stat_summarizer.cc:468] NoOp 1 0.074 0.053% 99.946% 0.000 1 2018-05-07 23:36:34.990288: I tensorflow/core/util/stat_summarizer.cc:468] Softmax 1 0.031 0.022% 99.968% 0.000 1 2018-05-07 23:36:34.990294: I tensorflow/core/util/stat_summarizer.cc:468] AvgPool 1 0.023 0.017% 99.985% 7.168 1 2018-05-07 23:36:34.990300: I tensorflow/core/util/stat_summarizer.cc:468] _Retval 1 0.006 0.004% 99.989% 0.000 1 2018-05-07 23:36:34.990306: I tensorflow/core/util/stat_summarizer.cc:468] Squeeze 1 0.006 0.004% 99.994% 0.000 1 2018-05-07 23:36:34.990312: I tensorflow/core/util/stat_summarizer.cc:468] Shape 1 0.004 0.003% 99.996% 0.008 1 2018-05-07 23:36:34.990318: I tensorflow/core/util/stat_summarizer.cc:468] Reshape 1 0.003 0.002% 99.999% 0.000 1 2018-05-07 23:36:34.990323: I tensorflow/core/util/stat_summarizer.cc:468] _Arg 1 0.002 0.001% 100.000% 0.000 1 2018-05-07 23:36:34.990329: I tensorflow/core/util/stat_summarizer.cc:468] 2018-05-07 23:36:34.990335: I tensorflow/core/util/stat_summarizer.cc:468] Timings (microseconds): count=72 first=120610 curr=155648 min=119447 max=208175 avg=139322 std=24095 2018-05-07 23:36:34.990341: I tensorflow/core/util/stat_summarizer.cc:468] Memory (bytes): count=72 first=38826540 curr=38826540 min=38826540 max=38830544 avg=3.88266e+07 std=468 2018-05-07 23:36:34.990349: I tensorflow/core/util/stat_summarizer.cc:468] 316 nodes observed 2018-05-07 23:36:34.990363: I tensorflow/core/util/stat_summarizer.cc:468] 2018-05-07 23:36:35.409848: I tensorflow/tools/benchmark/benchmark_model.cc:631] FLOPs estimate: 1.16B 2018-05-07 23:36:35.409905: I tensorflow/tools/benchmark/benchmark_model.cc:633] FLOPs/second: 8.57B