Created
November 21, 2016 17:33
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Inception V3 Benchmark - Macbook Pro 2.8 GHz Intel Core i7 - Inference Optimized + Quantized Rounded
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| Tensorflow compiled with : bazel build -c opt --copt=-mavx --cxxopt=-fno-exceptions --cxxopt=--std=c++11 --cxxopt=-DNDEBUG --cxxopt=-DNOTFDBG --cxxopt=-O2 --cxxopt=-DUSE_GEMM_FOR_CONV //tensorflow:libtensorflow_cc.so | |
| Graph : Inception V3 post running inference Optimizer + Quantizer with mode weights_rounded | |
| Output of custom app running TF, 222 frames took 25.201791 seconds | |
| I tensorflow/core/util/stat_summarizer.cc:33] StatSummarizer found 514 nodes | |
| I tensorflow/core/util/stat_summarizer.cc:353] Total time (us): curr=36817771 count=11 runs, avg 3.682e+04 ms, 514 nodes defined 514 nodes observed | |
| 28625707.2 avg KB per run. | |
| ============ By run order (ms) ================= | |
| [start] [first] [avg] [%] [cdf%] [Op] [Name] | |
| 0.000 5.278 20.835 0.057% 0.057% _SOURCE | |
| 5.401 0.629 2.173 0.006% 0.062% Const mixed_10/tower_1/conv_1/Conv2D_bn_offset | |
| 6.034 0.003 0.788 0.002% 0.065% Const mixed_10/tower_1/mixed/conv/conv2d_params | |
| 6.039 0.002 0.583 0.002% 0.066% Const mixed_10/tower_1/mixed/conv/Conv2D_bn_offset | |
| 6.042 0.002 0.786 0.002% 0.068% Const mixed_10/tower_1/mixed/conv_1/conv2d_params | |
| 6.045 0.002 0.596 0.002% 0.070% Const mixed_10/tower_1/mixed/conv_1/Conv2D_bn_offset | |
| 6.048 0.001 0.718 0.002% 0.072% Const mixed_10/tower_2/conv/conv2d_params | |
| 6.051 0.001 0.616 0.002% 0.074% Const mixed_10/tower_2/conv/Conv2D_bn_offset | |
| 6.053 0.002 0.617 0.002% 0.075% Const mixed/join/concat_dim | |
| 6.056 0.002 0.617 0.002% 0.077% Const mixed_1/join/concat_dim | |
| 6.059 0.002 0.559 0.002% 0.078% Const mixed_2/join/concat_dim | |
| 6.062 0.005 0.503 0.001% 0.080% Const mixed_3/join/concat_dim | |
| 6.068 0.002 0.537 0.001% 0.081% Const mixed_4/join/concat_dim | |
| 6.071 0.002 0.550 0.001% 0.083% Const mixed_5/join/concat_dim | |
| 6.074 0.002 0.515 0.001% 0.084% Const mixed_6/join/concat_dim | |
| 6.076 0.002 0.519 0.001% 0.086% Const mixed_7/join/concat_dim | |
| 6.079 0.002 0.518 0.001% 0.087% Const mixed_8/join/concat_dim | |
| 6.082 0.002 0.547 0.001% 0.088% Const mixed_9/join/concat_dim | |
| 6.085 0.001 0.487 0.001% 0.090% Const mixed_10/join/concat_dim | |
| 6.087 0.002 0.597 0.002% 0.091% Const pool_3/_reshape/shape | |
| 6.090 0.002 0.605 0.002% 0.093% Const softmax/weights | |
| 6.093 0.002 0.583 0.002% 0.095% Const softmax/biases | |
| 6.096 0.002 0.634 0.002% 0.096% Const conv/conv2d_params | |
| 6.103 0.003 0.580 0.002% 0.098% Const conv/Conv2D_bn_offset | |
| 6.107 0.002 0.665 0.002% 0.100% Const conv_1/conv2d_params | |
| 6.110 0.002 0.553 0.002% 0.101% Const conv_1/Conv2D_bn_offset | |
| 6.113 0.002 0.614 0.002% 0.103% Const conv_2/conv2d_params | |
| 6.116 0.002 0.602 0.002% 0.105% Const conv_2/Conv2D_bn_offset | |
| 6.119 0.001 0.634 0.002% 0.106% Const conv_3/conv2d_params | |
| 6.121 0.002 0.545 0.001% 0.108% Const conv_3/Conv2D_bn_offset | |
| 6.124 0.002 0.664 0.002% 0.110% Const conv_4/conv2d_params | |
| 6.127 0.002 0.554 0.002% 0.111% Const conv_4/Conv2D_bn_offset | |
| 6.127 6.146 843.097 2.290% 2.401% Conv2D conv/Conv2D | |
| 6.130 0.002 0.632 0.002% 2.403% Const mixed/conv/conv2d_params | |
| 6.134 0.003 0.543 0.001% 2.404% Const mixed/conv/Conv2D_bn_offset | |
| 6.138 0.002 0.681 0.002% 2.406% Const mixed/tower/conv/conv2d_params | |
| 6.141 0.002 0.532 0.001% 2.407% Const mixed/tower/conv/Conv2D_bn_offset | |
| 6.144 0.002 0.623 0.002% 2.409% Const mixed/tower/conv_1/conv2d_params | |
| 6.147 0.001 0.576 0.002% 2.411% Const mixed/tower/conv_1/Conv2D_bn_offset | |
| 6.149 0.003 0.655 0.002% 2.413% Const mixed/tower_1/conv/conv2d_params | |
| 6.152 0.002 0.533 0.001% 2.414% Const mixed/tower_1/conv/Conv2D_bn_offset | |
| 6.155 0.002 3.398 0.009% 2.423% Const mixed/tower_1/conv_1/conv2d_params | |
| 6.158 0.003 0.535 0.001% 2.425% Const mixed/tower_1/conv_1/Conv2D_bn_offset | |
| 6.162 0.002 0.720 0.002% 2.427% Const mixed/tower_1/conv_2/conv2d_params | |
| 6.165 0.002 0.568 0.002% 2.428% Const mixed/tower_1/conv_2/Conv2D_bn_offset | |
| 6.168 0.002 0.664 0.002% 2.430% Const mixed/tower_2/conv/conv2d_params | |
| 6.171 0.001 0.563 0.002% 2.431% Const mixed/tower_2/conv/Conv2D_bn_offset | |
| 6.173 0.002 0.665 0.002% 2.433% Const mixed_1/conv/conv2d_params | |
| 6.176 0.002 0.637 0.002% 2.435% Const mixed_1/conv/Conv2D_bn_offset | |
| 6.179 0.002 0.619 0.002% 2.437% Const mixed_1/tower/conv/conv2d_params | |
| 6.182 0.002 0.542 0.001% 2.438% Const mixed_1/tower/conv/Conv2D_bn_offset | |
| 6.186 0.002 0.625 0.002% 2.440% Const mixed_1/tower/conv_1/conv2d_params | |
| 6.189 0.002 0.549 0.001% 2.441% Const mixed_1/tower/conv_1/Conv2D_bn_offset | |
| 6.192 0.002 0.687 0.002% 2.443% Const mixed_1/tower_1/conv/conv2d_params | |
| 6.195 0.001 0.539 0.001% 2.445% Const mixed_1/tower_1/conv/Conv2D_bn_offset | |
| 6.197 0.002 0.636 0.002% 2.446% Const mixed_1/tower_1/conv_1/conv2d_params | |
| 6.200 0.002 0.523 0.001% 2.448% Const mixed_1/tower_1/conv_1/Conv2D_bn_offset | |
| 6.203 0.002 0.582 0.002% 2.449% Const mixed_1/tower_1/conv_2/conv2d_params | |
| 6.206 0.002 0.550 0.001% 2.451% Const mixed_1/tower_1/conv_2/Conv2D_bn_offset | |
| 6.209 0.003 0.637 0.002% 2.453% Const mixed_1/tower_2/conv/conv2d_params | |
| 6.213 0.001 0.591 0.002% 2.454% Const mixed_1/tower_2/conv/Conv2D_bn_offset | |
| 6.215 0.002 0.610 0.002% 2.456% Const mixed_2/conv/conv2d_params | |
| 6.218 0.002 0.543 0.001% 2.457% Const mixed_2/conv/Conv2D_bn_offset | |
| 6.221 0.002 0.646 0.002% 2.459% Const mixed_2/tower/conv/conv2d_params | |
| 6.224 0.001 0.535 0.001% 2.461% Const mixed_2/tower/conv/Conv2D_bn_offset | |
| 6.227 0.002 0.594 0.002% 2.462% Const mixed_2/tower/conv_1/conv2d_params | |
| 6.231 0.001 0.499 0.001% 2.464% Const mixed_2/tower/conv_1/Conv2D_bn_offset | |
| 6.233 0.004 0.585 0.002% 2.465% Const mixed_2/tower_1/conv/conv2d_params | |
| 6.238 0.001 0.526 0.001% 2.467% Const mixed_2/tower_1/conv/Conv2D_bn_offset | |
| 6.240 0.002 0.606 0.002% 2.468% Const mixed_2/tower_1/conv_1/conv2d_params | |
| 6.243 0.002 0.537 0.001% 2.470% Const mixed_2/tower_1/conv_1/Conv2D_bn_offset | |
| 6.246 0.002 0.722 0.002% 2.472% Const mixed_2/tower_1/conv_2/conv2d_params | |
| 6.249 0.002 0.603 0.002% 2.473% Const mixed_2/tower_1/conv_2/Conv2D_bn_offset | |
| 6.252 0.001 0.630 0.002% 2.475% Const mixed_2/tower_2/conv/conv2d_params | |
| 6.254 0.002 0.527 0.001% 2.476% Const mixed_2/tower_2/conv/Conv2D_bn_offset | |
| 6.257 0.009 0.617 0.002% 2.478% Const mixed_3/conv/conv2d_params | |
| 6.267 0.002 0.573 0.002% 2.480% Const mixed_3/conv/Conv2D_bn_offset | |
| 6.270 0.002 0.612 0.002% 2.481% Const mixed_3/tower/conv/conv2d_params | |
| 6.273 0.001 1.289 0.004% 2.485% Const mixed_3/tower/conv/Conv2D_bn_offset | |
| 6.275 0.002 0.630 0.002% 2.487% Const mixed_3/tower/conv_1/conv2d_params | |
| 6.278 0.002 0.516 0.001% 2.488% Const mixed_3/tower/conv_1/Conv2D_bn_offset | |
| 6.281 0.002 0.629 0.002% 2.490% Const mixed_3/tower/conv_2/conv2d_params | |
| 6.284 0.001 0.517 0.001% 2.491% Const mixed_3/tower/conv_2/Conv2D_bn_offset | |
| 6.286 0.002 0.580 0.002% 2.493% Const mixed_4/conv/conv2d_params | |
| 6.289 0.003 0.513 0.001% 2.494% Const mixed_4/conv/Conv2D_bn_offset | |
| 6.293 0.002 0.645 0.002% 2.496% Const mixed_4/tower/conv/conv2d_params | |
| 6.296 0.002 0.554 0.002% 2.497% Const mixed_4/tower/conv/Conv2D_bn_offset | |
| 6.299 0.002 0.560 0.002% 2.499% Const mixed_4/tower/conv_1/conv2d_params | |
| 6.302 0.001 0.536 0.001% 2.500% Const mixed_4/tower/conv_1/Conv2D_bn_offset | |
| 6.304 0.002 0.636 0.002% 2.502% Const mixed_4/tower/conv_2/conv2d_params | |
| 6.307 0.002 0.513 0.001% 2.503% Const mixed_4/tower/conv_2/Conv2D_bn_offset | |
| 6.310 0.001 0.619 0.002% 2.505% Const mixed_4/tower_1/conv/conv2d_params | |
| 6.312 0.003 0.513 0.001% 2.506% Const mixed_4/tower_1/conv/Conv2D_bn_offset | |
| 6.316 0.002 0.618 0.002% 2.508% Const mixed_4/tower_1/conv_1/conv2d_params | |
| 6.319 0.002 0.511 0.001% 2.509% Const mixed_4/tower_1/conv_1/Conv2D_bn_offset | |
| 6.322 0.001 0.627 0.002% 2.511% Const mixed_4/tower_1/conv_2/conv2d_params | |
| 6.324 0.002 0.562 0.002% 2.513% Const mixed_4/tower_1/conv_2/Conv2D_bn_offset | |
| 6.327 0.002 0.633 0.002% 2.514% Const mixed_4/tower_1/conv_3/conv2d_params | |
| 6.330 0.002 0.568 0.002% 2.516% Const mixed_4/tower_1/conv_3/Conv2D_bn_offset | |
| 6.333 0.002 0.589 0.002% 2.518% Const mixed_4/tower_1/conv_4/conv2d_params | |
| 6.336 0.001 0.554 0.002% 2.519% Const mixed_4/tower_1/conv_4/Conv2D_bn_offset | |
| 6.339 0.002 0.622 0.002% 2.521% Const mixed_4/tower_2/conv/conv2d_params | |
| 6.342 0.002 0.585 0.002% 2.522% Const mixed_4/tower_2/conv/Conv2D_bn_offset | |
| 6.345 0.001 0.595 0.002% 2.524% Const mixed_5/conv/conv2d_params | |
| 6.347 0.002 0.501 0.001% 2.525% Const mixed_5/conv/Conv2D_bn_offset | |
| 6.350 0.002 0.630 0.002% 2.527% Const mixed_5/tower/conv/conv2d_params | |
| 6.353 0.001 0.577 0.002% 2.529% Const mixed_5/tower/conv/Conv2D_bn_offset | |
| 6.355 0.002 0.573 0.002% 2.530% Const mixed_5/tower/conv_1/conv2d_params | |
| 6.358 0.001 0.535 0.001% 2.532% Const mixed_5/tower/conv_1/Conv2D_bn_offset | |
| 6.360 0.004 0.594 0.002% 2.533% Const mixed_5/tower/conv_2/conv2d_params | |
| 6.364 0.002 0.555 0.002% 2.535% Const mixed_5/tower/conv_2/Conv2D_bn_offset | |
| 6.367 0.002 0.597 0.002% 2.536% Const mixed_5/tower_1/conv/conv2d_params | |
| 6.369 0.002 0.515 0.001% 2.538% Const mixed_5/tower_1/conv/Conv2D_bn_offset | |
| 6.372 0.002 0.650 0.002% 2.540% Const mixed_5/tower_1/conv_1/conv2d_params | |
| 6.375 0.001 0.512 0.001% 2.541% Const mixed_5/tower_1/conv_1/Conv2D_bn_offset | |
| 6.377 0.002 0.604 0.002% 2.543% Const mixed_5/tower_1/conv_2/conv2d_params | |
| 6.380 0.001 0.556 0.002% 2.544% Const mixed_5/tower_1/conv_2/Conv2D_bn_offset | |
| 6.382 0.004 0.600 0.002% 2.546% Const mixed_5/tower_1/conv_3/conv2d_params | |
| 6.388 0.002 0.538 0.001% 2.547% Const mixed_5/tower_1/conv_3/Conv2D_bn_offset | |
| 6.391 0.002 0.604 0.002% 2.549% Const mixed_5/tower_1/conv_4/conv2d_params | |
| 6.394 0.001 0.490 0.001% 2.550% Const mixed_5/tower_1/conv_4/Conv2D_bn_offset | |
| 6.397 0.001 0.592 0.002% 2.552% Const mixed_5/tower_2/conv/conv2d_params | |
| 6.399 0.002 0.584 0.002% 2.553% Const mixed_5/tower_2/conv/Conv2D_bn_offset | |
| 6.402 0.002 0.588 0.002% 2.555% Const mixed_6/conv/conv2d_params | |
| 6.405 0.001 0.552 0.001% 2.556% Const mixed_6/conv/Conv2D_bn_offset | |
| 6.407 0.002 0.629 0.002% 2.558% Const mixed_6/tower/conv/conv2d_params | |
| 6.412 0.001 0.496 0.001% 2.559% Const mixed_6/tower/conv/Conv2D_bn_offset | |
| 6.414 0.002 0.623 0.002% 2.561% Const mixed_6/tower/conv_1/conv2d_params | |
| 6.417 0.001 0.496 0.001% 2.563% Const mixed_6/tower/conv_1/Conv2D_bn_offset | |
| 6.419 0.002 0.557 0.002% 2.564% Const mixed_6/tower/conv_2/conv2d_params | |
| 6.423 0.001 0.530 0.001% 2.565% Const mixed_6/tower/conv_2/Conv2D_bn_offset | |
| 6.425 0.002 0.600 0.002% 2.567% Const mixed_6/tower_1/conv/conv2d_params | |
| 6.428 0.002 0.496 0.001% 2.568% Const mixed_6/tower_1/conv/Conv2D_bn_offset | |
| 6.431 0.002 0.574 0.002% 2.570% Const mixed_6/tower_1/conv_1/conv2d_params | |
| 6.434 0.003 0.510 0.001% 2.571% Const mixed_6/tower_1/conv_1/Conv2D_bn_offset | |
| 6.438 0.002 0.611 0.002% 2.573% Const mixed_6/tower_1/conv_2/conv2d_params | |
| 6.441 0.002 0.527 0.001% 2.574% Const mixed_6/tower_1/conv_2/Conv2D_bn_offset | |
| 6.444 0.002 0.611 0.002% 2.576% Const mixed_6/tower_1/conv_3/conv2d_params | |
| 6.447 0.001 0.501 0.001% 2.578% Const mixed_6/tower_1/conv_3/Conv2D_bn_offset | |
| 6.449 0.002 0.586 0.002% 2.579% Const mixed_6/tower_1/conv_4/conv2d_params | |
| 6.452 0.001 1.780 0.005% 2.584% Const mixed_6/tower_1/conv_4/Conv2D_bn_offset | |
| 6.454 0.002 0.585 0.002% 2.586% Const mixed_6/tower_2/conv/conv2d_params | |
| 6.457 0.003 0.497 0.001% 2.587% Const mixed_6/tower_2/conv/Conv2D_bn_offset | |
| 6.462 0.002 0.622 0.002% 2.589% Const mixed_7/conv/conv2d_params | |
| 6.465 0.002 0.527 0.001% 2.590% Const mixed_7/conv/Conv2D_bn_offset | |
| 6.468 0.001 0.574 0.002% 2.592% Const mixed_7/tower/conv/conv2d_params | |
| 6.470 0.002 2.739 0.007% 2.599% Const mixed_7/tower/conv/Conv2D_bn_offset | |
| 6.473 0.002 0.601 0.002% 2.601% Const mixed_7/tower/conv_1/conv2d_params | |
| 6.476 0.001 0.555 0.002% 2.602% Const mixed_7/tower/conv_1/Conv2D_bn_offset | |
| 6.478 0.002 0.586 0.002% 2.604% Const mixed_7/tower/conv_2/conv2d_params | |
| 6.481 0.002 0.511 0.001% 2.605% Const mixed_7/tower/conv_2/Conv2D_bn_offset | |
| 6.484 0.003 0.588 0.002% 2.607% Const mixed_7/tower_1/conv/conv2d_params | |
| 6.488 0.001 0.540 0.001% 2.608% Const mixed_7/tower_1/conv/Conv2D_bn_offset | |
| 6.490 0.002 0.632 0.002% 2.610% Const mixed_7/tower_1/conv_1/conv2d_params | |
| 6.493 0.002 0.556 0.002% 2.611% Const mixed_7/tower_1/conv_1/Conv2D_bn_offset | |
| 6.496 0.002 0.581 0.002% 2.613% Const mixed_7/tower_1/conv_2/conv2d_params | |
| 6.499 0.001 0.532 0.001% 2.614% Const mixed_7/tower_1/conv_2/Conv2D_bn_offset | |
| 6.501 0.002 0.591 0.002% 2.616% Const mixed_7/tower_1/conv_3/conv2d_params | |
| 6.504 0.002 0.498 0.001% 2.617% Const mixed_7/tower_1/conv_3/Conv2D_bn_offset | |
| 6.507 0.003 0.571 0.002% 2.619% Const mixed_7/tower_1/conv_4/conv2d_params | |
| 6.511 0.002 0.539 0.001% 2.620% Const mixed_7/tower_1/conv_4/Conv2D_bn_offset | |
| 6.514 0.002 0.565 0.002% 2.622% Const mixed_7/tower_2/conv/conv2d_params | |
| 6.517 0.001 0.510 0.001% 2.623% Const mixed_7/tower_2/conv/Conv2D_bn_offset | |
| 6.519 0.002 0.620 0.002% 2.625% Const mixed_8/tower/conv/conv2d_params | |
| 6.522 0.002 0.567 0.002% 2.627% Const mixed_8/tower/conv/Conv2D_bn_offset | |
| 6.525 0.002 0.620 0.002% 2.628% Const mixed_8/tower/conv_1/conv2d_params | |
| 6.528 0.001 0.518 0.001% 2.630% Const mixed_8/tower/conv_1/Conv2D_bn_offset | |
| 6.530 0.004 0.583 0.002% 2.631% Const mixed_8/tower_1/conv/conv2d_params | |
| 6.534 0.003 0.519 0.001% 2.633% Const mixed_8/tower_1/conv/Conv2D_bn_offset | |
| 6.539 0.002 0.584 0.002% 2.634% Const mixed_8/tower_1/conv_1/conv2d_params | |
| 6.542 0.001 0.517 0.001% 2.636% Const mixed_8/tower_1/conv_1/Conv2D_bn_offset | |
| 6.544 0.002 0.561 0.002% 2.637% Const mixed_8/tower_1/conv_2/conv2d_params | |
| 6.547 0.002 0.516 0.001% 2.639% Const mixed_8/tower_1/conv_2/Conv2D_bn_offset | |
| 6.550 0.001 0.586 0.002% 2.640% Const mixed_8/tower_1/conv_3/conv2d_params | |
| 6.552 0.002 0.494 0.001% 2.641% Const mixed_8/tower_1/conv_3/Conv2D_bn_offset | |
| 6.555 0.002 0.571 0.002% 2.643% Const mixed_9/conv/conv2d_params | |
| 6.557 0.004 0.524 0.001% 2.644% Const mixed_9/conv/Conv2D_bn_offset | |
| 6.562 0.002 0.661 0.002% 2.646% Const mixed_9/tower/conv/conv2d_params | |
| 6.565 0.001 0.503 0.001% 2.648% Const mixed_9/tower/conv/Conv2D_bn_offset | |
| 6.567 0.002 0.692 0.002% 2.649% Const mixed_9/tower/mixed/conv/conv2d_params | |
| 6.570 0.001 0.514 0.001% 2.651% Const mixed_9/tower/mixed/conv/Conv2D_bn_offset | |
| 6.573 0.001 0.562 0.002% 2.652% Const mixed_9/tower/mixed/conv_1/conv2d_params | |
| 6.576 0.001 0.553 0.002% 2.654% Const mixed_9/tower/mixed/conv_1/Conv2D_bn_offset | |
| 6.579 0.001 0.603 0.002% 2.656% Const mixed_9/tower_1/conv/conv2d_params | |
| 6.581 0.003 0.503 0.001% 2.657% Const mixed_9/tower_1/conv/Conv2D_bn_offset | |
| 6.585 0.002 0.593 0.002% 2.659% Const mixed_9/tower_1/conv_1/conv2d_params | |
| 6.588 0.002 0.556 0.002% 2.660% Const mixed_9/tower_1/conv_1/Conv2D_bn_offset | |
| 6.591 0.001 0.584 0.002% 2.662% Const mixed_9/tower_1/mixed/conv/conv2d_params | |
| 6.594 0.001 0.496 0.001% 2.663% Const mixed_9/tower_1/mixed/conv/Conv2D_bn_offset | |
| 6.596 0.002 0.564 0.002% 2.665% Const mixed_9/tower_1/mixed/conv_1/conv2d_params | |
| 6.599 0.001 0.506 0.001% 2.666% Const mixed_9/tower_1/mixed/conv_1/Conv2D_bn_offset | |
| 6.602 0.001 0.602 0.002% 2.668% Const mixed_9/tower_2/conv/conv2d_params | |
| 6.604 0.002 0.529 0.001% 2.669% Const mixed_9/tower_2/conv/Conv2D_bn_offset | |
| 6.607 0.004 1.054 0.003% 2.672% Const mixed_10/conv/conv2d_params | |
| 6.612 0.002 0.510 0.001% 2.673% Const mixed_10/conv/Conv2D_bn_offset | |
| 6.615 0.001 0.561 0.002% 2.675% Const mixed_10/tower/conv/conv2d_params | |
| 6.617 0.002 0.529 0.001% 2.676% Const mixed_10/tower/conv/Conv2D_bn_offset | |
| 6.620 0.001 0.637 0.002% 2.678% Const mixed_10/tower/mixed/conv/conv2d_params | |
| 6.623 0.001 0.510 0.001% 2.679% Const mixed_10/tower/mixed/conv/Conv2D_bn_offset | |
| 6.625 0.002 0.644 0.002% 2.681% Const mixed_10/tower/mixed/conv_1/conv2d_params | |
| 6.628 0.001 0.529 0.001% 2.682% Const mixed_10/tower/mixed/conv_1/Conv2D_bn_offset | |
| 6.630 0.002 0.584 0.002% 2.684% Const mixed_10/tower_1/conv/conv2d_params | |
| 6.634 0.002 0.500 0.001% 2.685% Const mixed_10/tower_1/conv/Conv2D_bn_offset | |
| 6.637 0.002 0.573 0.002% 2.687% Const mixed_10/tower_1/conv_1/conv2d_params | |
| 12.296 4.263 305.396 0.829% 3.516% BiasAdd conv/batchnorm | |
| 16.567 0.413 47.986 0.130% 3.647% Relu conv | |
| 16.988 13.565 1871.326 5.083% 8.729% Conv2D conv_1/Conv2D | |
| 30.562 0.590 114.494 0.311% 9.040% BiasAdd conv_1/batchnorm | |
| 31.159 0.575 99.398 0.270% 9.310% Relu conv_1 | |
| 31.739 9.064 1934.772 5.255% 14.565% Conv2D conv_2/Conv2D | |
| 40.811 2.642 632.348 1.718% 16.283% BiasAdd conv_2/batchnorm | |
| 43.462 2.101 223.246 0.606% 16.889% Relu conv_2 | |
| 45.576 2.317 335.011 0.910% 17.799% MaxPool pool | |
| 47.904 1.691 269.602 0.732% 18.531% Conv2D conv_3/Conv2D | |
| 49.602 0.717 153.000 0.416% 18.947% BiasAdd conv_3/batchnorm | |
| 50.325 0.113 23.187 0.063% 19.010% Relu conv_3 | |
| 50.444 9.073 1539.630 4.182% 23.192% Conv2D conv_4/Conv2D | |
| 59.524 1.800 375.409 1.020% 24.211% BiasAdd conv_4/batchnorm | |
| 61.332 0.257 96.332 0.262% 24.473% Relu conv_4 | |
| 61.593 0.421 167.747 0.456% 24.929% MaxPool pool_1 | |
| 62.028 0.660 115.699 0.314% 25.243% Conv2D mixed/tower_1/conv/Conv2D | |
| 62.036 1.383 148.030 0.402% 25.645% AvgPool mixed/tower_2/pool | |
| 62.036 0.689 131.707 0.358% 26.003% Conv2D mixed/tower/conv/Conv2D | |
| 62.036 0.663 122.107 0.332% 26.334% Conv2D mixed/conv/Conv2D | |
| 62.696 0.071 28.007 0.076% 26.410% BiasAdd mixed/tower_1/conv/batchnorm | |
| 62.709 0.073 31.312 0.085% 26.495% BiasAdd mixed/conv/batchnorm | |
| 62.732 0.207 38.534 0.105% 26.600% BiasAdd mixed/tower/conv/batchnorm | |
| 62.773 0.039 7.896 0.021% 26.622% Relu mixed/tower_1/conv | |
| 62.787 0.031 8.407 0.023% 26.644% Relu mixed/conv | |
| 62.816 1.649 301.994 0.820% 27.465% Conv2D mixed/tower_1/conv_1/Conv2D | |
| 62.947 0.042 6.345 0.017% 27.482% Relu mixed/tower/conv | |
| 62.994 3.324 496.151 1.348% 28.829% Conv2D mixed/tower/conv_1/Conv2D | |
| 63.433 1.011 74.748 0.203% 29.032% Conv2D mixed/tower_2/conv/Conv2D | |
| 64.455 0.040 9.073 0.025% 29.057% BiasAdd mixed/tower_2/conv/batchnorm | |
| 64.472 0.118 19.060 0.052% 29.109% BiasAdd mixed/tower_1/conv_1/batchnorm | |
| 64.501 0.059 4.629 0.013% 29.121% Relu mixed/tower_2/conv | |
| 64.601 0.069 13.778 0.037% 29.159% Relu mixed/tower_1/conv_1 | |
| 64.677 3.165 506.669 1.376% 30.535% Conv2D mixed/tower_1/conv_2/Conv2D | |
| 66.327 0.063 32.493 0.088% 30.623% BiasAdd mixed/tower/conv_1/batchnorm | |
| 66.395 0.031 5.998 0.016% 30.640% Relu mixed/tower/conv_1 | |
| 67.849 0.080 19.322 0.052% 30.692% BiasAdd mixed/tower_1/conv_2/batchnorm | |
| 67.935 0.058 13.696 0.037% 30.729% Relu mixed/tower_1/conv_2 | |
| 67.997 2.974 141.794 0.385% 31.114% Concat mixed/join | |
| 70.985 0.706 130.834 0.355% 31.470% Conv2D mixed_1/tower_1/conv/Conv2D | |
| 70.994 1.327 235.477 0.640% 32.109% AvgPool mixed_1/tower_2/pool | |
| 70.996 0.727 150.547 0.409% 32.518% Conv2D mixed_1/conv/Conv2D | |
| 71.001 0.622 142.327 0.387% 32.905% Conv2D mixed_1/tower/conv/Conv2D | |
| 71.632 0.057 13.402 0.036% 32.941% BiasAdd mixed_1/tower/conv/batchnorm | |
| 71.692 0.082 5.700 0.015% 32.957% Relu mixed_1/tower/conv | |
| 71.698 0.085 14.329 0.039% 32.996% BiasAdd mixed_1/tower_1/conv/batchnorm | |
| 71.729 0.058 15.848 0.043% 33.039% BiasAdd mixed_1/conv/batchnorm | |
| 71.780 1.825 489.727 1.330% 34.369% Conv2D mixed_1/tower/conv_1/Conv2D | |
| 71.790 0.069 7.604 0.021% 34.389% Relu mixed_1/tower_1/conv | |
| 71.792 0.064 7.299 0.020% 34.409% Relu mixed_1/conv | |
| 71.863 2.793 315.190 0.856% 35.265% Conv2D mixed_1/tower_1/conv_1/Conv2D | |
| 72.329 0.979 125.184 0.340% 35.605% Conv2D mixed_1/tower_2/conv/Conv2D | |
| 73.314 0.153 33.738 0.092% 35.697% BiasAdd mixed_1/tower_2/conv/batchnorm | |
| 73.470 0.023 7.326 0.020% 35.717% Relu mixed_1/tower_2/conv | |
| 73.611 0.042 13.701 0.037% 35.754% BiasAdd mixed_1/tower/conv_1/batchnorm | |
| 73.655 0.023 5.688 0.015% 35.770% Relu mixed_1/tower/conv_1 | |
| 74.673 0.075 34.978 0.095% 35.865% BiasAdd mixed_1/tower_1/conv_1/batchnorm | |
| 74.758 0.044 13.352 0.036% 35.901% Relu mixed_1/tower_1/conv_1 | |
| 74.807 1.395 461.637 1.254% 37.155% Conv2D mixed_1/tower_1/conv_2/Conv2D | |
| 76.218 0.077 19.015 0.052% 37.206% BiasAdd mixed_1/tower_1/conv_2/batchnorm | |
| 76.311 0.082 13.382 0.036% 37.243% Relu mixed_1/tower_1/conv_2 | |
| 76.399 0.590 62.983 0.171% 37.414% Concat mixed_1/join | |
| 77.001 0.714 137.171 0.373% 37.786% Conv2D mixed_2/tower_1/conv/Conv2D | |
| 77.019 1.518 278.147 0.755% 38.542% AvgPool mixed_2/tower_2/pool | |
| 77.025 0.691 153.044 0.416% 38.957% Conv2D mixed_2/tower/conv/Conv2D | |
| 77.025 0.798 162.102 0.440% 39.398% Conv2D mixed_2/conv/Conv2D | |
| 77.732 0.053 15.194 0.041% 39.439% BiasAdd mixed_2/tower/conv/batchnorm | |
| 77.739 0.061 14.332 0.039% 39.478% BiasAdd mixed_2/tower_1/conv/batchnorm | |
| 77.790 0.028 5.520 0.015% 39.493% Relu mixed_2/tower/conv | |
| 77.805 0.029 7.148 0.019% 39.512% Relu mixed_2/tower_1/conv | |
| 77.822 1.837 477.063 1.296% 40.808% Conv2D mixed_2/tower/conv_1/Conv2D | |
| 77.828 0.048 11.923 0.032% 40.840% BiasAdd mixed_2/conv/batchnorm | |
| 77.838 2.830 320.345 0.870% 41.710% Conv2D mixed_2/tower_1/conv_1/Conv2D | |
| 77.879 0.025 6.639 0.018% 41.729% Relu mixed_2/conv | |
| 78.545 0.849 119.532 0.325% 42.053% Conv2D mixed_2/tower_2/conv/Conv2D | |
| 79.405 0.044 13.288 0.036% 42.089% BiasAdd mixed_2/tower_2/conv/batchnorm | |
| 79.452 0.027 6.275 0.017% 42.106% Relu mixed_2/tower_2/conv | |
| 79.665 0.043 10.114 0.027% 42.134% BiasAdd mixed_2/tower/conv_1/batchnorm | |
| 79.711 0.024 5.693 0.015% 42.149% Relu mixed_2/tower/conv_1 | |
| 80.684 0.073 19.333 0.053% 42.202% BiasAdd mixed_2/tower_1/conv_1/batchnorm | |
| 80.763 0.039 13.075 0.036% 42.237% Relu mixed_2/tower_1/conv_1 | |
| 80.806 1.404 463.568 1.259% 43.496% Conv2D mixed_2/tower_1/conv_2/Conv2D | |
| 82.215 0.114 19.153 0.052% 43.548% BiasAdd mixed_2/tower_1/conv_2/batchnorm | |
| 82.333 0.068 13.355 0.036% 43.585% Relu mixed_2/tower_1/conv_2 | |
| 82.403 0.156 41.739 0.113% 43.698% Concat mixed_2/join | |
| 82.570 2.552 183.181 0.498% 44.196% Conv2D mixed_3/tower/conv/Conv2D | |
| 82.598 0.206 47.072 0.128% 44.323% MaxPool mixed_3/pool | |
| 82.598 3.571 577.795 1.569% 45.893% Conv2D mixed_3/conv/Conv2D | |
| 85.130 0.049 16.088 0.044% 45.936% BiasAdd mixed_3/tower/conv/batchnorm | |
| 85.182 0.025 7.110 0.019% 45.956% Relu mixed_3/tower/conv | |
| 85.210 1.976 579.169 1.573% 47.529% Conv2D mixed_3/tower/conv_1/Conv2D | |
| 86.175 0.093 32.807 0.089% 47.618% BiasAdd mixed_3/conv/batchnorm | |
| 86.272 0.058 14.106 0.038% 47.656% Relu mixed_3/conv | |
| 87.192 0.098 36.688 0.100% 47.756% BiasAdd mixed_3/tower/conv_1/batchnorm | |
| 87.296 0.082 14.090 0.038% 47.794% Relu mixed_3/tower/conv_1 | |
| 87.383 0.468 89.538 0.243% 48.037% Conv2D mixed_3/tower/conv_2/Conv2D | |
| 87.855 0.018 4.279 0.012% 48.049% BiasAdd mixed_3/tower/conv_2/batchnorm | |
| 87.876 0.011 2.608 0.007% 48.056% Relu mixed_3/tower/conv_2 | |
| 87.889 0.115 29.903 0.081% 48.137% Concat mixed_3/join | |
| 88.028 0.971 225.032 0.611% 48.748% Conv2D mixed_4/tower_1/conv/Conv2D | |
| 88.031 0.560 156.594 0.425% 49.174% AvgPool mixed_4/tower_2/pool | |
| 88.040 1.674 276.410 0.751% 49.925% Conv2D mixed_4/tower/conv/Conv2D | |
| 88.040 1.668 274.268 0.745% 50.669% Conv2D mixed_4/conv/Conv2D | |
| 88.597 1.141 194.867 0.529% 51.199% Conv2D mixed_4/tower_2/conv/Conv2D | |
| 89.005 0.039 9.300 0.025% 51.224% BiasAdd mixed_4/tower_1/conv/batchnorm | |
| 89.048 0.016 4.409 0.012% 51.236% Relu mixed_4/tower_1/conv | |
| 89.068 0.843 172.479 0.468% 51.704% Conv2D mixed_4/tower_1/conv_1/Conv2D | |
| 89.716 0.048 11.684 0.032% 51.736% BiasAdd mixed_4/conv/batchnorm | |
| 89.721 0.040 9.695 0.026% 51.763% BiasAdd mixed_4/tower/conv/batchnorm | |
| 89.745 0.168 10.110 0.027% 51.790% BiasAdd mixed_4/tower_2/conv/batchnorm | |
| 89.766 0.020 4.483 0.012% 51.802% Relu mixed_4/tower/conv | |
| 89.768 0.023 6.020 0.016% 51.819% Relu mixed_4/conv | |
| 89.789 0.778 191.669 0.521% 52.339% Conv2D mixed_4/tower/conv_1/Conv2D | |
| 89.916 0.022 5.188 0.014% 52.353% Relu mixed_4/tower_2/conv | |
| 89.917 0.030 5.858 0.016% 52.369% BiasAdd mixed_4/tower_1/conv_1/batchnorm | |
| 89.951 0.018 3.110 0.008% 52.378% Relu mixed_4/tower_1/conv_1 | |
| 89.972 1.204 203.143 0.552% 52.929% Conv2D mixed_4/tower_1/conv_2/Conv2D | |
| 90.573 0.023 5.616 0.015% 52.945% BiasAdd mixed_4/tower/conv_1/batchnorm | |
| 90.599 0.024 3.091 0.008% 52.953% Relu mixed_4/tower/conv_1 | |
| 90.625 1.309 225.633 0.613% 53.566% Conv2D mixed_4/tower/conv_2/Conv2D | |
| 91.182 0.043 5.550 0.015% 53.581% BiasAdd mixed_4/tower_1/conv_2/batchnorm | |
| 91.228 0.012 3.058 0.008% 53.589% Relu mixed_4/tower_1/conv_2 | |
| 91.243 1.321 204.869 0.556% 54.146% Conv2D mixed_4/tower_1/conv_3/Conv2D | |
| 91.940 0.056 12.623 0.034% 54.180% BiasAdd mixed_4/tower/conv_2/batchnorm | |
| 91.999 0.051 4.569 0.012% 54.192% Relu mixed_4/tower/conv_2 | |
| 92.570 0.024 5.232 0.014% 54.207% BiasAdd mixed_4/tower_1/conv_3/batchnorm | |
| 92.600 0.013 2.892 0.008% 54.214% Relu mixed_4/tower_1/conv_3 | |
| 92.615 0.665 134.400 0.365% 54.579% Conv2D mixed_4/tower_1/conv_4/Conv2D | |
| 93.286 0.110 17.555 0.048% 54.627% BiasAdd mixed_4/tower_1/conv_4/batchnorm | |
| 93.399 0.016 3.943 0.011% 54.638% Relu mixed_4/tower_1/conv_4 | |
| 93.417 0.263 32.547 0.088% 54.726% Concat mixed_4/join | |
| 93.691 1.500 269.956 0.733% 55.459% Conv2D mixed_5/tower_1/conv/Conv2D | |
| 93.719 0.609 116.586 0.317% 55.776% AvgPool mixed_5/tower_2/pool | |
| 93.719 1.544 299.452 0.813% 56.589% Conv2D mixed_5/conv/Conv2D | |
| 93.726 1.489 334.097 0.907% 57.497% Conv2D mixed_5/tower/conv/Conv2D | |
| 94.337 1.012 242.810 0.659% 58.156% Conv2D mixed_5/tower_2/conv/Conv2D | |
| 95.201 0.071 10.582 0.029% 58.185% BiasAdd mixed_5/tower_1/conv/batchnorm | |
| 95.223 0.083 9.883 0.027% 58.212% BiasAdd mixed_5/tower/conv/batchnorm | |
| 95.268 0.048 11.676 0.032% 58.244% BiasAdd mixed_5/conv/batchnorm | |
| 95.278 0.034 5.111 0.014% 58.258% Relu mixed_5/tower_1/conv | |
| 95.310 0.028 4.986 0.014% 58.271% Relu mixed_5/tower/conv | |
| 95.318 0.900 234.263 0.636% 58.907% Conv2D mixed_5/tower_1/conv_1/Conv2D | |
| 95.320 0.025 5.883 0.016% 58.923% Relu mixed_5/conv | |
| 95.342 1.743 239.124 0.649% 59.573% Conv2D mixed_5/tower/conv_1/Conv2D | |
| 95.357 0.044 9.440 0.026% 59.598% BiasAdd mixed_5/tower_2/conv/batchnorm | |
| 95.408 0.036 5.095 0.014% 59.612% Relu mixed_5/tower_2/conv | |
| 96.224 0.041 6.411 0.017% 59.630% BiasAdd mixed_5/tower_1/conv_1/batchnorm | |
| 96.267 0.015 3.561 0.010% 59.639% Relu mixed_5/tower_1/conv_1 | |
| 96.285 1.702 294.322 0.799% 60.439% Conv2D mixed_5/tower_1/conv_2/Conv2D | |
| 97.092 0.037 6.469 0.018% 60.456% BiasAdd mixed_5/tower/conv_1/batchnorm | |
| 97.131 0.015 3.702 0.010% 60.466% Relu mixed_5/tower/conv_1 | |
| 97.148 1.743 297.928 0.809% 61.276% Conv2D mixed_5/tower/conv_2/Conv2D | |
| 97.994 0.042 6.467 0.018% 61.293% BiasAdd mixed_5/tower_1/conv_2/batchnorm | |
| 98.038 0.015 3.560 0.010% 61.303% Relu mixed_5/tower_1/conv_2 | |
| 98.055 1.714 261.915 0.711% 62.014% Conv2D mixed_5/tower_1/conv_3/Conv2D | |
| 98.898 0.043 7.635 0.021% 62.035% BiasAdd mixed_5/tower/conv_2/batchnorm | |
| 98.944 0.018 4.324 0.012% 62.047% Relu mixed_5/tower/conv_2 | |
| 99.775 0.028 6.261 0.017% 62.064% BiasAdd mixed_5/tower_1/conv_3/batchnorm | |
| 99.805 0.015 3.382 0.009% 62.073% Relu mixed_5/tower_1/conv_3 | |
| 99.822 0.877 152.894 0.415% 62.488% Conv2D mixed_5/tower_1/conv_4/Conv2D | |
| 100.706 0.035 7.298 0.020% 62.508% BiasAdd mixed_5/tower_1/conv_4/batchnorm | |
| 100.743 0.019 4.095 0.011% 62.519% Relu mixed_5/tower_1/conv_4 | |
| 100.765 0.088 24.902 0.068% 62.587% Concat mixed_5/join | |
| 100.865 1.662 287.109 0.780% 63.367% Conv2D mixed_6/tower/conv/Conv2D | |
| 100.867 1.669 301.732 0.820% 64.186% Conv2D mixed_6/tower_1/conv/Conv2D | |
| 100.868 0.606 115.793 0.315% 64.501% AvgPool mixed_6/tower_2/pool | |
| 100.872 1.661 342.369 0.930% 65.430% Conv2D mixed_6/conv/Conv2D | |
| 101.481 1.179 255.072 0.693% 66.123% Conv2D mixed_6/tower_2/conv/Conv2D | |
| 102.536 0.045 10.169 0.028% 66.151% BiasAdd mixed_6/tower/conv/batchnorm | |
| 102.541 0.049 9.990 0.027% 66.178% BiasAdd mixed_6/tower_1/conv/batchnorm | |
| 102.541 0.053 11.958 0.032% 66.210% BiasAdd mixed_6/conv/batchnorm | |
| 102.585 0.025 5.212 0.014% 66.225% Relu mixed_6/tower/conv | |
| 102.595 0.035 5.144 0.014% 66.239% Relu mixed_6/tower_1/conv | |
| 102.597 0.036 5.778 0.016% 66.254% Relu mixed_6/conv | |
| 102.615 0.902 246.085 0.668% 66.923% Conv2D mixed_6/tower/conv_1/Conv2D | |
| 102.643 1.786 256.714 0.697% 67.620% Conv2D mixed_6/tower_1/conv_1/Conv2D | |
| 102.667 0.043 9.947 0.027% 67.647% BiasAdd mixed_6/tower_2/conv/batchnorm | |
| 102.714 0.024 5.201 0.014% 67.661% Relu mixed_6/tower_2/conv | |
| 103.522 0.032 6.443 0.017% 67.679% BiasAdd mixed_6/tower/conv_1/batchnorm | |
| 103.557 0.015 3.504 0.010% 67.688% Relu mixed_6/tower/conv_1 | |
| 103.574 1.767 298.507 0.811% 68.499% Conv2D mixed_6/tower/conv_2/Conv2D | |
| 104.435 0.028 6.594 0.018% 68.517% BiasAdd mixed_6/tower_1/conv_1/batchnorm | |
| 104.466 0.015 3.628 0.010% 68.527% Relu mixed_6/tower_1/conv_1 | |
| 104.484 1.865 289.250 0.786% 69.312% Conv2D mixed_6/tower_1/conv_2/Conv2D | |
| 105.349 0.035 7.723 0.021% 69.333% BiasAdd mixed_6/tower/conv_2/batchnorm | |
| 105.387 0.020 4.331 0.012% 69.345% Relu mixed_6/tower/conv_2 | |
| 106.357 0.037 6.406 0.017% 69.362% BiasAdd mixed_6/tower_1/conv_2/batchnorm | |
| 106.398 0.017 3.438 0.009% 69.372% Relu mixed_6/tower_1/conv_2 | |
| 106.423 0.921 213.240 0.579% 69.951% Conv2D mixed_6/tower_1/conv_3/Conv2D | |
| 107.351 0.028 6.252 0.017% 69.968% BiasAdd mixed_6/tower_1/conv_3/batchnorm | |
| 107.382 0.015 3.490 0.009% 69.977% Relu mixed_6/tower_1/conv_3 | |
| 107.399 0.989 154.308 0.419% 70.397% Conv2D mixed_6/tower_1/conv_4/Conv2D | |
| 108.403 0.033 7.161 0.019% 70.416% BiasAdd mixed_6/tower_1/conv_4/batchnorm | |
| 108.442 0.018 3.945 0.011% 70.427% Relu mixed_6/tower_1/conv_4 | |
| 108.462 0.104 25.217 0.068% 70.495% Concat mixed_6/join | |
| 108.580 0.630 122.419 0.332% 70.828% AvgPool mixed_7/tower_2/pool | |
| 108.585 1.473 266.996 0.725% 71.553% Conv2D mixed_7/tower_1/conv/Conv2D | |
| 108.589 1.535 311.221 0.845% 72.398% Conv2D mixed_7/conv/Conv2D | |
| 108.596 1.628 332.879 0.904% 73.302% Conv2D mixed_7/tower/conv/Conv2D | |
| 109.220 1.060 243.926 0.663% 73.965% Conv2D mixed_7/tower_2/conv/Conv2D | |
| 110.068 0.055 15.585 0.042% 74.007% BiasAdd mixed_7/tower_1/conv/batchnorm | |
| 110.127 0.023 7.512 0.020% 74.028% Relu mixed_7/tower_1/conv | |
| 110.131 0.221 27.162 0.074% 74.101% BiasAdd mixed_7/conv/batchnorm | |
| 110.154 1.353 256.251 0.696% 74.797% Conv2D mixed_7/tower_1/conv_1/Conv2D | |
| 110.230 0.216 23.995 0.065% 74.862% BiasAdd mixed_7/tower/conv/batchnorm | |
| 110.295 0.191 19.828 0.054% 74.916% BiasAdd mixed_7/tower_2/conv/batchnorm | |
| 110.357 0.025 6.703 0.018% 74.935% Relu mixed_7/conv | |
| 110.452 0.035 6.957 0.019% 74.953% Relu mixed_7/tower/conv | |
| 110.501 2.113 273.612 0.743% 75.697% Conv2D mixed_7/tower/conv_1/Conv2D | |
| 110.615 0.026 5.503 0.015% 75.712% Relu mixed_7/tower_2/conv | |
| 111.513 0.044 7.372 0.020% 75.732% BiasAdd mixed_7/tower_1/conv_1/batchnorm | |
| 111.561 0.027 4.468 0.012% 75.744% Relu mixed_7/tower_1/conv_1 | |
| 111.592 2.189 335.056 0.910% 76.654% Conv2D mixed_7/tower_1/conv_2/Conv2D | |
| 112.623 0.046 7.480 0.020% 76.674% BiasAdd mixed_7/tower/conv_1/batchnorm | |
| 112.673 0.022 4.319 0.012% 76.686% Relu mixed_7/tower/conv_1 | |
| 112.699 2.194 340.401 0.925% 77.610% Conv2D mixed_7/tower/conv_2/Conv2D | |
| 113.788 0.048 7.618 0.021% 77.631% BiasAdd mixed_7/tower_1/conv_2/batchnorm | |
| 113.840 0.021 4.187 0.011% 77.642% Relu mixed_7/tower_1/conv_2 | |
| 113.865 2.204 304.931 0.828% 78.471% Conv2D mixed_7/tower_1/conv_3/Conv2D | |
| 114.901 0.034 7.531 0.020% 78.491% BiasAdd mixed_7/tower/conv_2/batchnorm | |
| 114.937 0.019 4.184 0.011% 78.502% Relu mixed_7/tower/conv_2 | |
| 116.076 0.035 7.377 0.020% 78.522% BiasAdd mixed_7/tower_1/conv_3/batchnorm | |
| 116.113 0.062 4.165 0.011% 78.534% Relu mixed_7/tower_1/conv_3 | |
| 116.178 1.303 176.200 0.479% 79.012% Conv2D mixed_7/tower_1/conv_4/Conv2D | |
| 117.492 0.063 7.323 0.020% 79.032% BiasAdd mixed_7/tower_1/conv_4/batchnorm | |
| 117.560 0.034 4.021 0.011% 79.043% Relu mixed_7/tower_1/conv_4 | |
| 117.598 0.186 35.695 0.097% 79.140% Concat mixed_7/join | |
| 117.795 0.711 152.061 0.413% 79.553% Conv2D mixed_8/tower_1/conv/Conv2D | |
| 117.823 0.100 23.733 0.064% 79.618% MaxPool mixed_8/pool | |
| 117.832 0.750 179.886 0.489% 80.106% Conv2D mixed_8/tower/conv/Conv2D | |
| 118.512 0.042 9.920 0.027% 80.133% BiasAdd mixed_8/tower_1/conv/batchnorm | |
| 118.557 0.039 4.793 0.013% 80.146% Relu mixed_8/tower_1/conv | |
| 118.596 0.031 7.919 0.022% 80.168% BiasAdd mixed_8/tower/conv/batchnorm | |
| 118.599 0.771 191.940 0.521% 80.689% Conv2D mixed_8/tower_1/conv_1/Conv2D | |
| 118.630 0.017 4.401 0.012% 80.701% Relu mixed_8/tower/conv | |
| 118.650 1.368 271.758 0.738% 81.439% Conv2D mixed_8/tower/conv_1/Conv2D | |
| 119.376 0.058 7.630 0.021% 81.460% BiasAdd mixed_8/tower_1/conv_1/batchnorm | |
| 119.437 0.018 4.557 0.012% 81.472% Relu mixed_8/tower_1/conv_1 | |
| 119.459 1.423 288.311 0.783% 82.255% Conv2D mixed_8/tower_1/conv_2/Conv2D | |
| 120.033 0.017 3.881 0.011% 82.266% BiasAdd mixed_8/tower/conv_1/batchnorm | |
| 120.052 0.011 2.061 0.006% 82.271% Relu mixed_8/tower/conv_1 | |
| 120.889 0.033 7.299 0.020% 82.291% BiasAdd mixed_8/tower_1/conv_2/batchnorm | |
| 120.925 0.028 3.968 0.011% 82.302% Relu mixed_8/tower_1/conv_2 | |
| 120.955 0.486 85.813 0.233% 82.535% Conv2D mixed_8/tower_1/conv_3/Conv2D | |
| 121.447 0.012 2.771 0.008% 82.543% BiasAdd mixed_8/tower_1/conv_3/batchnorm | |
| 121.461 0.006 1.551 0.004% 82.547% Relu mixed_8/tower_1/conv_3 | |
| 121.468 0.080 19.025 0.052% 82.598% Concat mixed_8/join | |
| 121.569 1.125 228.412 0.620% 83.219% Conv2D mixed_9/tower_1/conv/Conv2D | |
| 121.584 0.194 43.551 0.118% 83.337% AvgPool mixed_9/tower_2/pool | |
| 121.587 1.593 238.635 0.648% 83.985% Conv2D mixed_9/conv/Conv2D | |
| 121.592 1.494 280.921 0.763% 84.748% Conv2D mixed_9/tower/conv/Conv2D | |
| 121.784 1.799 262.283 0.712% 85.461% Conv2D mixed_9/tower_2/conv/Conv2D | |
| 122.701 0.031 6.717 0.018% 85.479% BiasAdd mixed_9/tower_1/conv/batchnorm | |
| 122.736 0.017 3.700 0.010% 85.489% Relu mixed_9/tower_1/conv | |
| 122.756 1.971 333.030 0.905% 86.393% Conv2D mixed_9/tower_1/conv_1/Conv2D | |
| 123.090 0.030 5.969 0.016% 86.410% BiasAdd mixed_9/tower/conv/batchnorm | |
| 123.123 0.015 3.332 0.009% 86.419% Relu mixed_9/tower/conv | |
| 123.153 2.176 311.822 0.847% 87.266% Conv2D mixed_9/tower/mixed/conv_1/Conv2D | |
| 123.183 0.060 5.587 0.015% 87.281% BiasAdd mixed_9/conv/batchnorm | |
| 123.246 0.014 3.371 0.009% 87.290% Relu mixed_9/conv | |
| 123.264 2.754 372.854 1.013% 88.303% Conv2D mixed_9/tower/mixed/conv/Conv2D | |
| 123.588 0.019 4.177 0.011% 88.314% BiasAdd mixed_9/tower_2/conv/batchnorm | |
| 123.610 0.008 2.240 0.006% 88.320% Relu mixed_9/tower_2/conv | |
| 124.735 0.031 4.215 0.011% 88.332% BiasAdd mixed_9/tower_1/conv_1/batchnorm | |
| 124.769 0.016 2.541 0.007% 88.338% Relu mixed_9/tower_1/conv_1 | |
| 124.797 1.813 263.432 0.716% 89.054% Conv2D mixed_9/tower_1/mixed/conv_1/Conv2D | |
| 124.810 2.654 361.083 0.981% 90.035% Conv2D mixed_9/tower_1/mixed/conv/Conv2D | |
| 125.334 0.024 4.264 0.012% 90.046% BiasAdd mixed_9/tower/mixed/conv_1/batchnorm | |
| 125.361 0.012 2.606 0.007% 90.053% Relu mixed_9/tower/mixed/conv_1 | |
| 126.022 0.030 4.115 0.011% 90.065% BiasAdd mixed_9/tower/mixed/conv/batchnorm | |
| 126.058 0.014 2.556 0.007% 90.071% Relu mixed_9/tower/mixed/conv | |
| 126.613 0.024 4.185 0.011% 90.083% BiasAdd mixed_9/tower_1/mixed/conv_1/batchnorm | |
| 126.639 0.010 2.325 0.006% 90.089% Relu mixed_9/tower_1/mixed/conv_1 | |
| 127.469 0.028 3.939 0.011% 90.100% BiasAdd mixed_9/tower_1/mixed/conv/batchnorm | |
| 127.500 0.018 2.061 0.006% 90.105% Relu mixed_9/tower_1/mixed/conv | |
| 127.521 0.105 21.546 0.059% 90.164% Concat mixed_9/join | |
| 127.641 3.184 344.517 0.936% 91.100% Conv2D mixed_10/tower_1/conv/Conv2D | |
| 127.646 0.320 68.449 0.186% 91.286% MaxPool mixed_10/tower_2/pool | |
| 127.647 2.589 372.464 1.012% 92.297% Conv2D mixed_10/conv/Conv2D | |
| 127.650 2.581 441.341 1.199% 93.496% Conv2D mixed_10/tower/conv/Conv2D | |
| 127.978 2.860 394.480 1.071% 94.567% Conv2D mixed_10/tower_2/conv/Conv2D | |
| 130.236 0.025 6.061 0.016% 94.584% BiasAdd mixed_10/tower/conv/batchnorm | |
| 130.240 0.025 5.752 0.016% 94.600% BiasAdd mixed_10/conv/batchnorm | |
| 130.264 0.018 3.510 0.010% 94.609% Relu mixed_10/tower/conv | |
| 130.268 0.022 3.487 0.009% 94.619% Relu mixed_10/conv | |
| 130.291 0.814 332.849 0.904% 95.523% Conv2D mixed_10/tower/mixed/conv_1/Conv2D | |
| 130.294 1.498 356.133 0.967% 96.490% Conv2D mixed_10/tower/mixed/conv/Conv2D | |
| 130.833 0.080 6.950 0.019% 96.509% BiasAdd mixed_10/tower_1/conv/batchnorm | |
| 130.843 0.017 3.938 0.011% 96.519% BiasAdd mixed_10/tower_2/conv/batchnorm | |
| 130.863 0.009 2.219 0.006% 96.525% Relu mixed_10/tower_2/conv | |
| 130.916 0.015 4.041 0.011% 96.536% Relu mixed_10/tower_1/conv | |
| 130.935 2.574 354.010 0.962% 97.498% Conv2D mixed_10/tower_1/conv_1/Conv2D | |
| 131.109 0.023 4.126 0.011% 97.509% BiasAdd mixed_10/tower/mixed/conv_1/batchnorm | |
| 131.134 0.016 2.570 0.007% 97.516% Relu mixed_10/tower/mixed/conv_1 | |
| 131.797 0.035 4.259 0.012% 97.528% BiasAdd mixed_10/tower/mixed/conv/batchnorm | |
| 131.835 0.065 2.619 0.007% 97.535% Relu mixed_10/tower/mixed/conv | |
| 133.514 0.019 4.233 0.011% 97.546% BiasAdd mixed_10/tower_1/conv_1/batchnorm | |
| 133.535 0.022 2.523 0.007% 97.553% Relu mixed_10/tower_1/conv_1 | |
| 133.564 0.640 277.004 0.752% 98.306% Conv2D mixed_10/tower_1/mixed/conv_1/Conv2D | |
| 133.571 1.224 375.223 1.019% 99.325% Conv2D mixed_10/tower_1/mixed/conv/Conv2D | |
| 134.218 0.018 4.215 0.011% 99.336% BiasAdd mixed_10/tower_1/mixed/conv_1/batchnorm | |
| 134.238 0.010 2.449 0.007% 99.343% Relu mixed_10/tower_1/mixed/conv_1 | |
| 134.799 0.016 3.845 0.010% 99.353% BiasAdd mixed_10/tower_1/mixed/conv/batchnorm | |
| 134.817 0.008 2.204 0.006% 99.359% Relu mixed_10/tower_1/mixed/conv | |
| 134.826 0.066 20.466 0.056% 99.415% Concat mixed_10/join | |
| 134.901 0.046 6.612 0.018% 99.433% AvgPool pool_3 | |
| 134.954 0.004 0.862 0.002% 99.435% Reshape pool_3/_reshape | |
| 134.960 43.907 192.050 0.522% 99.957% MatMul softmax/logits/MatMul | |
| 178.872 0.027 1.507 0.004% 99.961% BiasAdd softmax/logits | |
| 178.906 1.295 14.433 0.039% 100.000% Softmax softmax | |
| 1 runs, avg 3.682e+04 ms, 514 nodes defined 514 nodes observed | |
| 28625707.2 avg KB per run. | |
| ============ Top by duration in ms ================= | |
| [start] [first] [avg] [%] [cdf%] [Op] [Name] | |
| 31.739 9.064 1934.772 5.255% 5.255% Conv2D conv_2/Conv2D | |
| 16.988 13.565 1871.326 5.083% 10.338% Conv2D conv_1/Conv2D | |
| 50.444 9.073 1539.630 4.182% 14.519% Conv2D conv_4/Conv2D | |
| 6.127 6.146 843.097 2.290% 16.809% Conv2D conv/Conv2D | |
| 40.811 2.642 632.348 1.718% 18.527% BiasAdd conv_2/batchnorm | |
| 85.210 1.976 579.169 1.573% 20.100% Conv2D mixed_3/tower/conv_1/Conv2D | |
| 82.598 3.571 577.795 1.569% 21.669% Conv2D mixed_3/conv/Conv2D | |
| 64.677 3.165 506.669 1.376% 23.045% Conv2D mixed/tower_1/conv_2/Conv2D | |
| 62.994 3.324 496.151 1.348% 24.393% Conv2D mixed/tower/conv_1/Conv2D | |
| 71.780 1.825 489.727 1.330% 25.723% Conv2D mixed_1/tower/conv_1/Conv2D | |
| 77.822 1.837 477.063 1.296% 27.019% Conv2D mixed_2/tower/conv_1/Conv2D | |
| 80.806 1.404 463.568 1.259% 28.278% Conv2D mixed_2/tower_1/conv_2/Conv2D | |
| 74.807 1.395 461.637 1.254% 29.532% Conv2D mixed_1/tower_1/conv_2/Conv2D | |
| 127.650 2.581 441.341 1.199% 30.731% Conv2D mixed_10/tower/conv/Conv2D | |
| 127.978 2.860 394.480 1.071% 31.802% Conv2D mixed_10/tower_2/conv/Conv2D | |
| 59.524 1.800 375.409 1.020% 32.822% BiasAdd conv_4/batchnorm | |
| 133.571 1.224 375.223 1.019% 33.841% Conv2D mixed_10/tower_1/mixed/conv/Conv2D | |
| 123.264 2.754 372.854 1.013% 34.853% Conv2D mixed_9/tower/mixed/conv/Conv2D | |
| 127.647 2.589 372.464 1.012% 35.865% Conv2D mixed_10/conv/Conv2D | |
| 124.810 2.654 361.083 0.981% 36.846% Conv2D mixed_9/tower_1/mixed/conv/Conv2D | |
| 130.294 1.498 356.133 0.967% 37.813% Conv2D mixed_10/tower/mixed/conv/Conv2D | |
| 130.935 2.574 354.010 0.962% 38.775% Conv2D mixed_10/tower_1/conv_1/Conv2D | |
| 127.641 3.184 344.517 0.936% 39.710% Conv2D mixed_10/tower_1/conv/Conv2D | |
| 100.872 1.661 342.369 0.930% 40.640% Conv2D mixed_6/conv/Conv2D | |
| 112.699 2.194 340.401 0.925% 41.565% Conv2D mixed_7/tower/conv_2/Conv2D | |
| 111.592 2.189 335.056 0.910% 42.475% Conv2D mixed_7/tower_1/conv_2/Conv2D | |
| 45.576 2.317 335.011 0.910% 43.385% MaxPool pool | |
| 93.726 1.489 334.097 0.907% 44.292% Conv2D mixed_5/tower/conv/Conv2D | |
| 122.756 1.971 333.030 0.905% 45.197% Conv2D mixed_9/tower_1/conv_1/Conv2D | |
| 108.596 1.628 332.879 0.904% 46.101% Conv2D mixed_7/tower/conv/Conv2D | |
| 130.291 0.814 332.849 0.904% 47.005% Conv2D mixed_10/tower/mixed/conv_1/Conv2D | |
| 77.838 2.830 320.345 0.870% 47.875% Conv2D mixed_2/tower_1/conv_1/Conv2D | |
| 71.863 2.793 315.190 0.856% 48.731% Conv2D mixed_1/tower_1/conv_1/Conv2D | |
| 123.153 2.176 311.822 0.847% 49.578% Conv2D mixed_9/tower/mixed/conv_1/Conv2D | |
| 108.589 1.535 311.221 0.845% 50.423% Conv2D mixed_7/conv/Conv2D | |
| 12.296 4.263 305.396 0.829% 51.253% BiasAdd conv/batchnorm | |
| 113.865 2.204 304.931 0.828% 52.081% Conv2D mixed_7/tower_1/conv_3/Conv2D | |
| 62.816 1.649 301.994 0.820% 52.901% Conv2D mixed/tower_1/conv_1/Conv2D | |
| 100.867 1.669 301.732 0.820% 53.721% Conv2D mixed_6/tower_1/conv/Conv2D | |
| 93.719 1.544 299.452 0.813% 54.534% Conv2D mixed_5/conv/Conv2D | |
| 103.574 1.767 298.507 0.811% 55.345% Conv2D mixed_6/tower/conv_2/Conv2D | |
| 97.148 1.743 297.928 0.809% 56.154% Conv2D mixed_5/tower/conv_2/Conv2D | |
| 96.285 1.702 294.322 0.799% 56.953% Conv2D mixed_5/tower_1/conv_2/Conv2D | |
| 104.484 1.865 289.250 0.786% 57.739% Conv2D mixed_6/tower_1/conv_2/Conv2D | |
| 119.459 1.423 288.311 0.783% 58.522% Conv2D mixed_8/tower_1/conv_2/Conv2D | |
| 100.865 1.662 287.109 0.780% 59.302% Conv2D mixed_6/tower/conv/Conv2D | |
| 121.592 1.494 280.921 0.763% 60.065% Conv2D mixed_9/tower/conv/Conv2D | |
| 77.019 1.518 278.147 0.755% 60.820% AvgPool mixed_2/tower_2/pool | |
| 133.564 0.640 277.004 0.752% 61.573% Conv2D mixed_10/tower_1/mixed/conv_1/Conv2D | |
| 88.040 1.674 276.410 0.751% 62.324% Conv2D mixed_4/tower/conv/Conv2D | |
| 88.040 1.668 274.268 0.745% 63.069% Conv2D mixed_4/conv/Conv2D | |
| 110.501 2.113 273.612 0.743% 63.812% Conv2D mixed_7/tower/conv_1/Conv2D | |
| 118.650 1.368 271.758 0.738% 64.550% Conv2D mixed_8/tower/conv_1/Conv2D | |
| 93.691 1.500 269.956 0.733% 65.283% Conv2D mixed_5/tower_1/conv/Conv2D | |
| 47.904 1.691 269.602 0.732% 66.015% Conv2D conv_3/Conv2D | |
| 108.585 1.473 266.996 0.725% 66.740% Conv2D mixed_7/tower_1/conv/Conv2D | |
| 124.797 1.813 263.432 0.716% 67.456% Conv2D mixed_9/tower_1/mixed/conv_1/Conv2D | |
| 121.784 1.799 262.283 0.712% 68.168% Conv2D mixed_9/tower_2/conv/Conv2D | |
| 98.055 1.714 261.915 0.711% 68.880% Conv2D mixed_5/tower_1/conv_3/Conv2D | |
| 102.643 1.786 256.714 0.697% 69.577% Conv2D mixed_6/tower_1/conv_1/Conv2D | |
| 110.154 1.353 256.251 0.696% 70.273% Conv2D mixed_7/tower_1/conv_1/Conv2D | |
| 101.481 1.179 255.072 0.693% 70.966% Conv2D mixed_6/tower_2/conv/Conv2D | |
| 102.615 0.902 246.085 0.668% 71.634% Conv2D mixed_6/tower/conv_1/Conv2D | |
| 109.220 1.060 243.926 0.663% 72.297% Conv2D mixed_7/tower_2/conv/Conv2D | |
| 94.337 1.012 242.810 0.659% 72.956% Conv2D mixed_5/tower_2/conv/Conv2D | |
| 95.342 1.743 239.124 0.649% 73.606% Conv2D mixed_5/tower/conv_1/Conv2D | |
| 121.587 1.593 238.635 0.648% 74.254% Conv2D mixed_9/conv/Conv2D | |
| 70.994 1.327 235.477 0.640% 74.893% AvgPool mixed_1/tower_2/pool | |
| 95.318 0.900 234.263 0.636% 75.530% Conv2D mixed_5/tower_1/conv_1/Conv2D | |
| 121.569 1.125 228.412 0.620% 76.150% Conv2D mixed_9/tower_1/conv/Conv2D | |
| 90.625 1.309 225.633 0.613% 76.763% Conv2D mixed_4/tower/conv_2/Conv2D | |
| 88.028 0.971 225.032 0.611% 77.374% Conv2D mixed_4/tower_1/conv/Conv2D | |
| 43.462 2.101 223.246 0.606% 77.980% Relu conv_2 | |
| 106.423 0.921 213.240 0.579% 78.560% Conv2D mixed_6/tower_1/conv_3/Conv2D | |
| 91.243 1.321 204.869 0.556% 79.116% Conv2D mixed_4/tower_1/conv_3/Conv2D | |
| 89.972 1.204 203.143 0.552% 79.668% Conv2D mixed_4/tower_1/conv_2/Conv2D | |
| 88.597 1.141 194.867 0.529% 80.197% Conv2D mixed_4/tower_2/conv/Conv2D | |
| 134.960 43.907 192.050 0.522% 80.719% MatMul softmax/logits/MatMul | |
| 118.599 0.771 191.940 0.521% 81.240% Conv2D mixed_8/tower_1/conv_1/Conv2D | |
| 89.789 0.778 191.669 0.521% 81.761% Conv2D mixed_4/tower/conv_1/Conv2D | |
| 82.570 2.552 183.181 0.498% 82.258% Conv2D mixed_3/tower/conv/Conv2D | |
| 117.832 0.750 179.886 0.489% 82.747% Conv2D mixed_8/tower/conv/Conv2D | |
| 116.178 1.303 176.200 0.479% 83.225% Conv2D mixed_7/tower_1/conv_4/Conv2D | |
| 89.068 0.843 172.479 0.468% 83.694% Conv2D mixed_4/tower_1/conv_1/Conv2D | |
| 61.593 0.421 167.747 0.456% 84.149% MaxPool pool_1 | |
| 77.025 0.798 162.102 0.440% 84.590% Conv2D mixed_2/conv/Conv2D | |
| 88.031 0.560 156.594 0.425% 85.015% AvgPool mixed_4/tower_2/pool | |
| 107.399 0.989 154.308 0.419% 85.434% Conv2D mixed_6/tower_1/conv_4/Conv2D | |
| 77.025 0.691 153.044 0.416% 85.850% Conv2D mixed_2/tower/conv/Conv2D | |
| 49.602 0.717 153.000 0.416% 86.265% BiasAdd conv_3/batchnorm | |
| 99.822 0.877 152.894 0.415% 86.681% Conv2D mixed_5/tower_1/conv_4/Conv2D | |
| 117.795 0.711 152.061 0.413% 87.094% Conv2D mixed_8/tower_1/conv/Conv2D | |
| 70.996 0.727 150.547 0.409% 87.503% Conv2D mixed_1/conv/Conv2D | |
| 62.036 1.383 148.030 0.402% 87.905% AvgPool mixed/tower_2/pool | |
| 71.001 0.622 142.327 0.387% 88.291% Conv2D mixed_1/tower/conv/Conv2D | |
| 67.997 2.974 141.794 0.385% 88.676% Concat mixed/join | |
| 77.001 0.714 137.171 0.373% 89.049% Conv2D mixed_2/tower_1/conv/Conv2D | |
| 92.615 0.665 134.400 0.365% 89.414% Conv2D mixed_4/tower_1/conv_4/Conv2D | |
| 62.036 0.689 131.707 0.358% 89.772% Conv2D mixed/tower/conv/Conv2D | |
| 70.985 0.706 130.834 0.355% 90.127% Conv2D mixed_1/tower_1/conv/Conv2D | |
| 72.329 0.979 125.184 0.340% 90.467% Conv2D mixed_1/tower_2/conv/Conv2D | |
| 108.580 0.630 122.419 0.332% 90.799% AvgPool mixed_7/tower_2/pool | |
| 62.036 0.663 122.107 0.332% 91.131% Conv2D mixed/conv/Conv2D | |
| 78.545 0.849 119.532 0.325% 91.456% Conv2D mixed_2/tower_2/conv/Conv2D | |
| 93.719 0.609 116.586 0.317% 91.772% AvgPool mixed_5/tower_2/pool | |
| 100.868 0.606 115.793 0.315% 92.087% AvgPool mixed_6/tower_2/pool | |
| 62.028 0.660 115.699 0.314% 92.401% Conv2D mixed/tower_1/conv/Conv2D | |
| 30.562 0.590 114.494 0.311% 92.712% BiasAdd conv_1/batchnorm | |
| 31.159 0.575 99.398 0.270% 92.982% Relu conv_1 | |
| 61.332 0.257 96.332 0.262% 93.244% Relu conv_4 | |
| 87.383 0.468 89.538 0.243% 93.487% Conv2D mixed_3/tower/conv_2/Conv2D | |
| 120.955 0.486 85.813 0.233% 93.720% Conv2D mixed_8/tower_1/conv_3/Conv2D | |
| 63.433 1.011 74.748 0.203% 93.923% Conv2D mixed/tower_2/conv/Conv2D | |
| 127.646 0.320 68.449 0.186% 94.109% MaxPool mixed_10/tower_2/pool | |
| 76.399 0.590 62.983 0.171% 94.280% Concat mixed_1/join | |
| 16.567 0.413 47.986 0.130% 94.410% Relu conv | |
| 82.598 0.206 47.072 0.128% 94.538% MaxPool mixed_3/pool | |
| 121.584 0.194 43.551 0.118% 94.657% AvgPool mixed_9/tower_2/pool | |
| 82.403 0.156 41.739 0.113% 94.770% Concat mixed_2/join | |
| 62.732 0.207 38.534 0.105% 94.875% BiasAdd mixed/tower/conv/batchnorm | |
| 87.192 0.098 36.688 0.100% 94.974% BiasAdd mixed_3/tower/conv_1/batchnorm | |
| 117.598 0.186 35.695 0.097% 95.071% Concat mixed_7/join | |
| 74.673 0.075 34.978 0.095% 95.166% BiasAdd mixed_1/tower_1/conv_1/batchnorm | |
| 73.314 0.153 33.738 0.092% 95.258% BiasAdd mixed_1/tower_2/conv/batchnorm | |
| 86.175 0.093 32.807 0.089% 95.347% BiasAdd mixed_3/conv/batchnorm | |
| 93.417 0.263 32.547 0.088% 95.435% Concat mixed_4/join | |
| 66.327 0.063 32.493 0.088% 95.524% BiasAdd mixed/tower/conv_1/batchnorm | |
| 62.709 0.073 31.312 0.085% 95.609% BiasAdd mixed/conv/batchnorm | |
| 87.889 0.115 29.903 0.081% 95.690% Concat mixed_3/join | |
| 62.696 0.071 28.007 0.076% 95.766% BiasAdd mixed/tower_1/conv/batchnorm | |
| 110.131 0.221 27.162 0.074% 95.840% BiasAdd mixed_7/conv/batchnorm | |
| 108.462 0.104 25.217 0.068% 95.908% Concat mixed_6/join | |
| 100.765 0.088 24.902 0.068% 95.976% Concat mixed_5/join | |
| 110.230 0.216 23.995 0.065% 96.041% BiasAdd mixed_7/tower/conv/batchnorm | |
| 117.823 0.100 23.733 0.064% 96.105% MaxPool mixed_8/pool | |
| 50.325 0.113 23.187 0.063% 96.168% Relu conv_3 | |
| 127.521 0.105 21.546 0.059% 96.227% Concat mixed_9/join | |
| 0.000 5.278 20.835 0.057% 96.283% _SOURCE | |
| 134.826 0.066 20.466 0.056% 96.339% Concat mixed_10/join | |
| 110.295 0.191 19.828 0.054% 96.393% BiasAdd mixed_7/tower_2/conv/batchnorm | |
| 80.684 0.073 19.333 0.053% 96.445% BiasAdd mixed_2/tower_1/conv_1/batchnorm | |
| 67.849 0.080 19.322 0.052% 96.498% BiasAdd mixed/tower_1/conv_2/batchnorm | |
| 82.215 0.114 19.153 0.052% 96.550% BiasAdd mixed_2/tower_1/conv_2/batchnorm | |
| 64.472 0.118 19.060 0.052% 96.602% BiasAdd mixed/tower_1/conv_1/batchnorm | |
| 121.468 0.080 19.025 0.052% 96.653% Concat mixed_8/join | |
| 76.218 0.077 19.015 0.052% 96.705% BiasAdd mixed_1/tower_1/conv_2/batchnorm | |
| 93.286 0.110 17.555 0.048% 96.753% BiasAdd mixed_4/tower_1/conv_4/batchnorm | |
| 85.130 0.049 16.088 0.044% 96.796% BiasAdd mixed_3/tower/conv/batchnorm | |
| 71.729 0.058 15.848 0.043% 96.839% BiasAdd mixed_1/conv/batchnorm | |
| 110.068 0.055 15.585 0.042% 96.882% BiasAdd mixed_7/tower_1/conv/batchnorm | |
| 77.732 0.053 15.194 0.041% 96.923% BiasAdd mixed_2/tower/conv/batchnorm | |
| 178.906 1.295 14.433 0.039% 96.962% Softmax softmax | |
| 77.739 0.061 14.332 0.039% 97.001% BiasAdd mixed_2/tower_1/conv/batchnorm | |
| 71.698 0.085 14.329 0.039% 97.040% BiasAdd mixed_1/tower_1/conv/batchnorm | |
| 86.272 0.058 14.106 0.038% 97.078% Relu mixed_3/conv | |
| 87.296 0.082 14.090 0.038% 97.117% Relu mixed_3/tower/conv_1 | |
| 64.601 0.069 13.778 0.037% 97.154% Relu mixed/tower_1/conv_1 | |
| 73.611 0.042 13.701 0.037% 97.191% BiasAdd mixed_1/tower/conv_1/batchnorm | |
| 67.935 0.058 13.696 0.037% 97.229% Relu mixed/tower_1/conv_2 | |
| 71.632 0.057 13.402 0.036% 97.265% BiasAdd mixed_1/tower/conv/batchnorm | |
| 76.311 0.082 13.382 0.036% 97.301% Relu mixed_1/tower_1/conv_2 | |
| 82.333 0.068 13.355 0.036% 97.338% Relu mixed_2/tower_1/conv_2 | |
| 74.758 0.044 13.352 0.036% 97.374% Relu mixed_1/tower_1/conv_1 | |
| 79.405 0.044 13.288 0.036% 97.410% BiasAdd mixed_2/tower_2/conv/batchnorm | |
| 80.763 0.039 13.075 0.036% 97.445% Relu mixed_2/tower_1/conv_1 | |
| 91.940 0.056 12.623 0.034% 97.480% BiasAdd mixed_4/tower/conv_2/batchnorm | |
| 102.541 0.053 11.958 0.032% 97.512% BiasAdd mixed_6/conv/batchnorm | |
| 77.828 0.048 11.923 0.032% 97.545% BiasAdd mixed_2/conv/batchnorm | |
| 89.716 0.048 11.684 0.032% 97.576% BiasAdd mixed_4/conv/batchnorm | |
| 95.268 0.048 11.676 0.032% 97.608% BiasAdd mixed_5/conv/batchnorm | |
| 95.201 0.071 10.582 0.029% 97.637% BiasAdd mixed_5/tower_1/conv/batchnorm | |
| 102.536 0.045 10.169 0.028% 97.664% BiasAdd mixed_6/tower/conv/batchnorm | |
| 79.665 0.043 10.114 0.027% 97.692% BiasAdd mixed_2/tower/conv_1/batchnorm | |
| 89.745 0.168 10.110 0.027% 97.719% BiasAdd mixed_4/tower_2/conv/batchnorm | |
| 102.541 0.049 9.990 0.027% 97.746% BiasAdd mixed_6/tower_1/conv/batchnorm | |
| 102.667 0.043 9.947 0.027% 97.773% BiasAdd mixed_6/tower_2/conv/batchnorm | |
| 118.512 0.042 9.920 0.027% 97.800% BiasAdd mixed_8/tower_1/conv/batchnorm | |
| 95.223 0.083 9.883 0.027% 97.827% BiasAdd mixed_5/tower/conv/batchnorm | |
| 89.721 0.040 9.695 0.026% 97.854% BiasAdd mixed_4/tower/conv/batchnorm | |
| 95.357 0.044 9.440 0.026% 97.879% BiasAdd mixed_5/tower_2/conv/batchnorm | |
| 89.005 0.039 9.300 0.025% 97.904% BiasAdd mixed_4/tower_1/conv/batchnorm | |
| 64.455 0.040 9.073 0.025% 97.929% BiasAdd mixed/tower_2/conv/batchnorm | |
| 62.787 0.031 8.407 0.023% 97.952% Relu mixed/conv | |
| 118.596 0.031 7.919 0.022% 97.973% BiasAdd mixed_8/tower/conv/batchnorm | |
| 62.773 0.039 7.896 0.021% 97.995% Relu mixed/tower_1/conv | |
| 105.349 0.035 7.723 0.021% 98.016% BiasAdd mixed_6/tower/conv_2/batchnorm | |
| 98.898 0.043 7.635 0.021% 98.037% BiasAdd mixed_5/tower/conv_2/batchnorm | |
| 119.376 0.058 7.630 0.021% 98.057% BiasAdd mixed_8/tower_1/conv_1/batchnorm | |
| 113.788 0.048 7.618 0.021% 98.078% BiasAdd mixed_7/tower_1/conv_2/batchnorm | |
| 71.790 0.069 7.604 0.021% 98.099% Relu mixed_1/tower_1/conv | |
| 114.901 0.034 7.531 0.020% 98.119% BiasAdd mixed_7/tower/conv_2/batchnorm | |
| 110.127 0.023 7.512 0.020% 98.140% Relu mixed_7/tower_1/conv | |
| 112.623 0.046 7.480 0.020% 98.160% BiasAdd mixed_7/tower/conv_1/batchnorm | |
| 116.076 0.035 7.377 0.020% 98.180% BiasAdd mixed_7/tower_1/conv_3/batchnorm | |
| 111.513 0.044 7.372 0.020% 98.200% BiasAdd mixed_7/tower_1/conv_1/batchnorm | |
| 73.470 0.023 7.326 0.020% 98.220% Relu mixed_1/tower_2/conv | |
| 117.492 0.063 7.323 0.020% 98.240% BiasAdd mixed_7/tower_1/conv_4/batchnorm | |
| 120.889 0.033 7.299 0.020% 98.260% BiasAdd mixed_8/tower_1/conv_2/batchnorm | |
| 71.792 0.064 7.299 0.020% 98.279% Relu mixed_1/conv | |
| 100.706 0.035 7.298 0.020% 98.299% BiasAdd mixed_5/tower_1/conv_4/batchnorm | |
| 108.403 0.033 7.161 0.019% 98.319% BiasAdd mixed_6/tower_1/conv_4/batchnorm | |
| 77.805 0.029 7.148 0.019% 98.338% Relu mixed_2/tower_1/conv | |
| 85.182 0.025 7.110 0.019% 98.357% Relu mixed_3/tower/conv | |
| 110.452 0.035 6.957 0.019% 98.376% Relu mixed_7/tower/conv | |
| 130.833 0.080 6.950 0.019% 98.395% BiasAdd mixed_10/tower_1/conv/batchnorm | |
| 122.701 0.031 6.717 0.018% 98.413% BiasAdd mixed_9/tower_1/conv/batchnorm | |
| 110.357 0.025 6.703 0.018% 98.432% Relu mixed_7/conv | |
| 77.879 0.025 6.639 0.018% 98.450% Relu mixed_2/conv | |
| 134.901 0.046 6.612 0.018% 98.468% AvgPool pool_3 | |
| 104.435 0.028 6.594 0.018% 98.485% BiasAdd mixed_6/tower_1/conv_1/batchnorm | |
| 97.092 0.037 6.469 0.018% 98.503% BiasAdd mixed_5/tower/conv_1/batchnorm | |
| 97.994 0.042 6.467 0.018% 98.521% BiasAdd mixed_5/tower_1/conv_2/batchnorm | |
| 103.522 0.032 6.443 0.017% 98.538% BiasAdd mixed_6/tower/conv_1/batchnorm | |
| 96.224 0.041 6.411 0.017% 98.556% BiasAdd mixed_5/tower_1/conv_1/batchnorm | |
| 106.357 0.037 6.406 0.017% 98.573% BiasAdd mixed_6/tower_1/conv_2/batchnorm | |
| 62.947 0.042 6.345 0.017% 98.590% Relu mixed/tower/conv | |
| 79.452 0.027 6.275 0.017% 98.607% Relu mixed_2/tower_2/conv | |
| 99.775 0.028 6.261 0.017% 98.624% BiasAdd mixed_5/tower_1/conv_3/batchnorm | |
| 107.351 0.028 6.252 0.017% 98.641% BiasAdd mixed_6/tower_1/conv_3/batchnorm | |
| 130.236 0.025 6.061 0.016% 98.658% BiasAdd mixed_10/tower/conv/batchnorm | |
| 89.768 0.023 6.020 0.016% 98.674% Relu mixed_4/conv | |
| 66.395 0.031 5.998 0.016% 98.690% Relu mixed/tower/conv_1 | |
| 123.090 0.030 5.969 0.016% 98.706% BiasAdd mixed_9/tower/conv/batchnorm | |
| 95.320 0.025 5.883 0.016% 98.722% Relu mixed_5/conv | |
| 89.917 0.030 5.858 0.016% 98.738% BiasAdd mixed_4/tower_1/conv_1/batchnorm | |
| 102.597 0.036 5.778 0.016% 98.754% Relu mixed_6/conv | |
| 130.240 0.025 5.752 0.016% 98.770% BiasAdd mixed_10/conv/batchnorm | |
| 71.692 0.082 5.700 0.015% 98.785% Relu mixed_1/tower/conv | |
| 79.711 0.024 5.693 0.015% 98.801% Relu mixed_2/tower/conv_1 | |
| 73.655 0.023 5.688 0.015% 98.816% Relu mixed_1/tower/conv_1 | |
| 90.573 0.023 5.616 0.015% 98.831% BiasAdd mixed_4/tower/conv_1/batchnorm | |
| 123.183 0.060 5.587 0.015% 98.847% BiasAdd mixed_9/conv/batchnorm | |
| 91.182 0.043 5.550 0.015% 98.862% BiasAdd mixed_4/tower_1/conv_2/batchnorm | |
| 77.790 0.028 5.520 0.015% 98.877% Relu mixed_2/tower/conv | |
| 110.615 0.026 5.503 0.015% 98.892% Relu mixed_7/tower_2/conv | |
| 92.570 0.024 5.232 0.014% 98.906% BiasAdd mixed_4/tower_1/conv_3/batchnorm | |
| 102.585 0.025 5.212 0.014% 98.920% Relu mixed_6/tower/conv | |
| 102.714 0.024 5.201 0.014% 98.934% Relu mixed_6/tower_2/conv | |
| 89.916 0.022 5.188 0.014% 98.948% Relu mixed_4/tower_2/conv | |
| 102.595 0.035 5.144 0.014% 98.962% Relu mixed_6/tower_1/conv | |
| 95.278 0.034 5.111 0.014% 98.976% Relu mixed_5/tower_1/conv | |
| 95.408 0.036 5.095 0.014% 98.990% Relu mixed_5/tower_2/conv | |
| 95.310 0.028 4.986 0.014% 99.003% Relu mixed_5/tower/conv | |
| 118.557 0.039 4.793 0.013% 99.016% Relu mixed_8/tower_1/conv | |
| 64.501 0.059 4.629 0.013% 99.029% Relu mixed/tower_2/conv | |
| 91.999 0.051 4.569 0.012% 99.041% Relu mixed_4/tower/conv_2 | |
| 119.437 0.018 4.557 0.012% 99.054% Relu mixed_8/tower_1/conv_1 | |
| 89.766 0.020 4.483 0.012% 99.066% Relu mixed_4/tower/conv | |
| 111.561 0.027 4.468 0.012% 99.078% Relu mixed_7/tower_1/conv_1 | |
| 89.048 0.016 4.409 0.012% 99.090% Relu mixed_4/tower_1/conv | |
| 118.630 0.017 4.401 0.012% 99.102% Relu mixed_8/tower/conv | |
| 105.387 0.020 4.331 0.012% 99.114% Relu mixed_6/tower/conv_2 | |
| 98.944 0.018 4.324 0.012% 99.125% Relu mixed_5/tower/conv_2 | |
| 112.673 0.022 4.319 0.012% 99.137% Relu mixed_7/tower/conv_1 | |
| 87.855 0.018 4.279 0.012% 99.149% BiasAdd mixed_3/tower/conv_2/batchnorm | |
| 125.334 0.024 4.264 0.012% 99.160% BiasAdd mixed_9/tower/mixed/conv_1/batchnorm | |
| 131.797 0.035 4.259 0.012% 99.172% BiasAdd mixed_10/tower/mixed/conv/batchnorm | |
| 133.514 0.019 4.233 0.011% 99.183% BiasAdd mixed_10/tower_1/conv_1/batchnorm | |
| 124.735 0.031 4.215 0.011% 99.195% BiasAdd mixed_9/tower_1/conv_1/batchnorm | |
| 134.218 0.018 4.215 0.011% 99.206% BiasAdd mixed_10/tower_1/mixed/conv_1/batchnorm | |
| 113.840 0.021 4.187 0.011% 99.218% Relu mixed_7/tower_1/conv_2 | |
| 126.613 0.024 4.185 0.011% 99.229% BiasAdd mixed_9/tower_1/mixed/conv_1/batchnorm | |
| 114.937 0.019 4.184 0.011% 99.240% Relu mixed_7/tower/conv_2 | |
| 123.588 0.019 4.177 0.011% 99.252% BiasAdd mixed_9/tower_2/conv/batchnorm | |
| 116.113 0.062 4.165 0.011% 99.263% Relu mixed_7/tower_1/conv_3 | |
| 131.109 0.023 4.126 0.011% 99.274% BiasAdd mixed_10/tower/mixed/conv_1/batchnorm | |
| 126.022 0.030 4.115 0.011% 99.286% BiasAdd mixed_9/tower/mixed/conv/batchnorm | |
| 100.743 0.019 4.095 0.011% 99.297% Relu mixed_5/tower_1/conv_4 | |
| 130.916 0.015 4.041 0.011% 99.308% Relu mixed_10/tower_1/conv | |
| 117.560 0.034 4.021 0.011% 99.319% Relu mixed_7/tower_1/conv_4 | |
| 120.925 0.028 3.968 0.011% 99.329% Relu mixed_8/tower_1/conv_2 | |
| 108.442 0.018 3.945 0.011% 99.340% Relu mixed_6/tower_1/conv_4 | |
| 93.399 0.016 3.943 0.011% 99.351% Relu mixed_4/tower_1/conv_4 | |
| 127.469 0.028 3.939 0.011% 99.361% BiasAdd mixed_9/tower_1/mixed/conv/batchnorm | |
| 130.843 0.017 3.938 0.011% 99.372% BiasAdd mixed_10/tower_2/conv/batchnorm | |
| 120.033 0.017 3.881 0.011% 99.383% BiasAdd mixed_8/tower/conv_1/batchnorm | |
| 134.799 0.016 3.845 0.010% 99.393% BiasAdd mixed_10/tower_1/mixed/conv/batchnorm | |
| 97.131 0.015 3.702 0.010% 99.403% Relu mixed_5/tower/conv_1 | |
| 122.736 0.017 3.700 0.010% 99.413% Relu mixed_9/tower_1/conv | |
| 104.466 0.015 3.628 0.010% 99.423% Relu mixed_6/tower_1/conv_1 | |
| 96.267 0.015 3.561 0.010% 99.433% Relu mixed_5/tower_1/conv_1 | |
| 98.038 0.015 3.560 0.010% 99.442% Relu mixed_5/tower_1/conv_2 | |
| 130.264 0.018 3.510 0.010% 99.452% Relu mixed_10/tower/conv | |
| 103.557 0.015 3.504 0.010% 99.461% Relu mixed_6/tower/conv_1 | |
| 107.382 0.015 3.490 0.009% 99.471% Relu mixed_6/tower_1/conv_3 | |
| 130.268 0.022 3.487 0.009% 99.480% Relu mixed_10/conv | |
| 106.398 0.017 3.438 0.009% 99.490% Relu mixed_6/tower_1/conv_2 | |
| 6.155 0.002 3.398 0.009% 99.499% Const mixed/tower_1/conv_1/conv2d_params | |
| 99.805 0.015 3.382 0.009% 99.508% Relu mixed_5/tower_1/conv_3 | |
| 123.246 0.014 3.371 0.009% 99.517% Relu mixed_9/conv | |
| 123.123 0.015 3.332 0.009% 99.526% Relu mixed_9/tower/conv | |
| 89.951 0.018 3.110 0.008% 99.535% Relu mixed_4/tower_1/conv_1 | |
| 90.599 0.024 3.091 0.008% 99.543% Relu mixed_4/tower/conv_1 | |
| 91.228 0.012 3.058 0.008% 99.552% Relu mixed_4/tower_1/conv_2 | |
| 92.600 0.013 2.892 0.008% 99.559% Relu mixed_4/tower_1/conv_3 | |
| 121.447 0.012 2.771 0.008% 99.567% BiasAdd mixed_8/tower_1/conv_3/batchnorm | |
| 6.470 0.002 2.739 0.007% 99.574% Const mixed_7/tower/conv/Conv2D_bn_offset | |
| 131.835 0.065 2.619 0.007% 99.581% Relu mixed_10/tower/mixed/conv | |
| 87.876 0.011 2.608 0.007% 99.589% Relu mixed_3/tower/conv_2 | |
| 125.361 0.012 2.606 0.007% 99.596% Relu mixed_9/tower/mixed/conv_1 | |
| 131.134 0.016 2.570 0.007% 99.603% Relu mixed_10/tower/mixed/conv_1 | |
| 126.058 0.014 2.556 0.007% 99.610% Relu mixed_9/tower/mixed/conv | |
| 124.769 0.016 2.541 0.007% 99.616% Relu mixed_9/tower_1/conv_1 | |
| 133.535 0.022 2.523 0.007% 99.623% Relu mixed_10/tower_1/conv_1 | |
| 134.238 0.010 2.449 0.007% 99.630% Relu mixed_10/tower_1/mixed/conv_1 | |
| 126.639 0.010 2.325 0.006% 99.636% Relu mixed_9/tower_1/mixed/conv_1 | |
| 123.610 0.008 2.240 0.006% 99.642% Relu mixed_9/tower_2/conv | |
| 130.863 0.009 2.219 0.006% 99.648% Relu mixed_10/tower_2/conv | |
| 134.817 0.008 2.204 0.006% 99.654% Relu mixed_10/tower_1/mixed/conv | |
| 5.401 0.629 2.173 0.006% 99.660% Const mixed_10/tower_1/conv_1/Conv2D_bn_offset | |
| 127.500 0.018 2.061 0.006% 99.666% Relu mixed_9/tower_1/mixed/conv | |
| 120.052 0.011 2.061 0.006% 99.671% Relu mixed_8/tower/conv_1 | |
| 6.452 0.001 1.780 0.005% 99.676% Const mixed_6/tower_1/conv_4/Conv2D_bn_offset | |
| 121.461 0.006 1.551 0.004% 99.681% Relu mixed_8/tower_1/conv_3 | |
| 178.872 0.027 1.507 0.004% 99.685% BiasAdd softmax/logits | |
| 6.273 0.001 1.289 0.004% 99.688% Const mixed_3/tower/conv/Conv2D_bn_offset | |
| 6.607 0.004 1.054 0.003% 99.691% Const mixed_10/conv/conv2d_params | |
| 134.954 0.004 0.862 0.002% 99.693% Reshape pool_3/_reshape | |
| 6.034 0.003 0.788 0.002% 99.695% Const mixed_10/tower_1/mixed/conv/conv2d_params | |
| 6.042 0.002 0.786 0.002% 99.698% Const mixed_10/tower_1/mixed/conv_1/conv2d_params | |
| 6.246 0.002 0.722 0.002% 99.700% Const mixed_2/tower_1/conv_2/conv2d_params | |
| 6.162 0.002 0.720 0.002% 99.702% Const mixed/tower_1/conv_2/conv2d_params | |
| 6.048 0.001 0.718 0.002% 99.703% Const mixed_10/tower_2/conv/conv2d_params | |
| 6.567 0.002 0.692 0.002% 99.705% Const mixed_9/tower/mixed/conv/conv2d_params | |
| 6.192 0.002 0.687 0.002% 99.707% Const mixed_1/tower_1/conv/conv2d_params | |
| 6.138 0.002 0.681 0.002% 99.709% Const mixed/tower/conv/conv2d_params | |
| 6.173 0.002 0.665 0.002% 99.711% Const mixed_1/conv/conv2d_params | |
| 6.107 0.002 0.665 0.002% 99.713% Const conv_1/conv2d_params | |
| 6.168 0.002 0.664 0.002% 99.714% Const mixed/tower_2/conv/conv2d_params | |
| 6.124 0.002 0.664 0.002% 99.716% Const conv_4/conv2d_params | |
| 6.562 0.002 0.661 0.002% 99.718% Const mixed_9/tower/conv/conv2d_params | |
| 6.149 0.003 0.655 0.002% 99.720% Const mixed/tower_1/conv/conv2d_params | |
| 6.372 0.002 0.650 0.002% 99.722% Const mixed_5/tower_1/conv_1/conv2d_params | |
| 6.221 0.002 0.646 0.002% 99.723% Const mixed_2/tower/conv/conv2d_params | |
| 6.293 0.002 0.645 0.002% 99.725% Const mixed_4/tower/conv/conv2d_params | |
| 6.625 0.002 0.644 0.002% 99.727% Const mixed_10/tower/mixed/conv_1/conv2d_params | |
| 6.620 0.001 0.637 0.002% 99.729% Const mixed_10/tower/mixed/conv/conv2d_params | |
| 6.209 0.003 0.637 0.002% 99.730% Const mixed_1/tower_2/conv/conv2d_params | |
| 6.176 0.002 0.637 0.002% 99.732% Const mixed_1/conv/Conv2D_bn_offset | |
| 6.304 0.002 0.636 0.002% 99.734% Const mixed_4/tower/conv_2/conv2d_params | |
| 6.197 0.002 0.636 0.002% 99.736% Const mixed_1/tower_1/conv_1/conv2d_params | |
| 6.119 0.001 0.634 0.002% 99.737% Const conv_3/conv2d_params | |
| 6.096 0.002 0.634 0.002% 99.739% Const conv/conv2d_params | |
| 6.327 0.002 0.633 0.002% 99.741% Const mixed_4/tower_1/conv_3/conv2d_params | |
| 6.490 0.002 0.632 0.002% 99.742% Const mixed_7/tower_1/conv_1/conv2d_params | |
| 6.130 0.002 0.632 0.002% 99.744% Const mixed/conv/conv2d_params | |
| 6.350 0.002 0.630 0.002% 99.746% Const mixed_5/tower/conv/conv2d_params | |
| 6.275 0.002 0.630 0.002% 99.748% Const mixed_3/tower/conv_1/conv2d_params | |
| 6.252 0.001 0.630 0.002% 99.749% Const mixed_2/tower_2/conv/conv2d_params | |
| 6.407 0.002 0.629 0.002% 99.751% Const mixed_6/tower/conv/conv2d_params | |
| 6.281 0.002 0.629 0.002% 99.753% Const mixed_3/tower/conv_2/conv2d_params | |
| 6.322 0.001 0.627 0.002% 99.754% Const mixed_4/tower_1/conv_2/conv2d_params | |
| 6.186 0.002 0.625 0.002% 99.756% Const mixed_1/tower/conv_1/conv2d_params | |
| 6.414 0.002 0.623 0.002% 99.758% Const mixed_6/tower/conv_1/conv2d_params | |
| 6.144 0.002 0.623 0.002% 99.759% Const mixed/tower/conv_1/conv2d_params | |
| 6.462 0.002 0.622 0.002% 99.761% Const mixed_7/conv/conv2d_params | |
| 6.339 0.002 0.622 0.002% 99.763% Const mixed_4/tower_2/conv/conv2d_params | |
| 6.525 0.002 0.620 0.002% 99.765% Const mixed_8/tower/conv_1/conv2d_params | |
| 6.519 0.002 0.620 0.002% 99.766% Const mixed_8/tower/conv/conv2d_params | |
| 6.310 0.001 0.619 0.002% 99.768% Const mixed_4/tower_1/conv/conv2d_params | |
| 6.179 0.002 0.619 0.002% 99.770% Const mixed_1/tower/conv/conv2d_params | |
| 6.316 0.002 0.618 0.002% 99.771% Const mixed_4/tower_1/conv_1/conv2d_params | |
| 6.257 0.009 0.617 0.002% 99.773% Const mixed_3/conv/conv2d_params | |
| 6.056 0.002 0.617 0.002% 99.775% Const mixed_1/join/concat_dim | |
| 6.053 0.002 0.617 0.002% 99.776% Const mixed/join/concat_dim | |
| 6.051 0.001 0.616 0.002% 99.778% Const mixed_10/tower_2/conv/Conv2D_bn_offset | |
| 6.113 0.002 0.614 0.002% 99.780% Const conv_2/conv2d_params | |
| 6.270 0.002 0.612 0.002% 99.781% Const mixed_3/tower/conv/conv2d_params | |
| 6.444 0.002 0.611 0.002% 99.783% Const mixed_6/tower_1/conv_3/conv2d_params | |
| 6.438 0.002 0.611 0.002% 99.785% Const mixed_6/tower_1/conv_2/conv2d_params | |
| 6.215 0.002 0.610 0.002% 99.786% Const mixed_2/conv/conv2d_params | |
| 6.240 0.002 0.606 0.002% 99.788% Const mixed_2/tower_1/conv_1/conv2d_params | |
| 6.090 0.002 0.605 0.002% 99.790% Const softmax/weights | |
| 6.391 0.002 0.604 0.002% 99.791% Const mixed_5/tower_1/conv_4/conv2d_params | |
| 6.377 0.002 0.604 0.002% 99.793% Const mixed_5/tower_1/conv_2/conv2d_params | |
| 6.579 0.001 0.603 0.002% 99.794% Const mixed_9/tower_1/conv/conv2d_params | |
| 6.249 0.002 0.603 0.002% 99.796% Const mixed_2/tower_1/conv_2/Conv2D_bn_offset | |
| 6.602 0.001 0.602 0.002% 99.798% Const mixed_9/tower_2/conv/conv2d_params | |
| 6.116 0.002 0.602 0.002% 99.799% Const conv_2/Conv2D_bn_offset | |
| 6.473 0.002 0.601 0.002% 99.801% Const mixed_7/tower/conv_1/conv2d_params | |
| 6.425 0.002 0.600 0.002% 99.803% Const mixed_6/tower_1/conv/conv2d_params | |
| 6.382 0.004 0.600 0.002% 99.804% Const mixed_5/tower_1/conv_3/conv2d_params | |
| 6.087 0.002 0.597 0.002% 99.806% Const pool_3/_reshape/shape | |
| 6.367 0.002 0.597 0.002% 99.807% Const mixed_5/tower_1/conv/conv2d_params | |
| 6.045 0.002 0.596 0.002% 99.809% Const mixed_10/tower_1/mixed/conv_1/Conv2D_bn_offset | |
| 6.345 0.001 0.595 0.002% 99.811% Const mixed_5/conv/conv2d_params | |
| 6.360 0.004 0.594 0.002% 99.812% Const mixed_5/tower/conv_2/conv2d_params | |
| 6.227 0.002 0.594 0.002% 99.814% Const mixed_2/tower/conv_1/conv2d_params | |
| 6.585 0.002 0.593 0.002% 99.816% Const mixed_9/tower_1/conv_1/conv2d_params | |
| 6.397 0.001 0.592 0.002% 99.817% Const mixed_5/tower_2/conv/conv2d_params | |
| 6.501 0.002 0.591 0.002% 99.819% Const mixed_7/tower_1/conv_3/conv2d_params | |
| 6.213 0.001 0.591 0.002% 99.820% Const mixed_1/tower_2/conv/Conv2D_bn_offset | |
| 6.333 0.002 0.589 0.002% 99.822% Const mixed_4/tower_1/conv_4/conv2d_params | |
| 6.484 0.003 0.588 0.002% 99.824% Const mixed_7/tower_1/conv/conv2d_params | |
| 6.402 0.002 0.588 0.002% 99.825% Const mixed_6/conv/conv2d_params | |
| 6.550 0.001 0.586 0.002% 99.827% Const mixed_8/tower_1/conv_3/conv2d_params | |
| 6.478 0.002 0.586 0.002% 99.828% Const mixed_7/tower/conv_2/conv2d_params | |
| 6.449 0.002 0.586 0.002% 99.830% Const mixed_6/tower_1/conv_4/conv2d_params | |
| 6.454 0.002 0.585 0.002% 99.832% Const mixed_6/tower_2/conv/conv2d_params | |
| 6.342 0.002 0.585 0.002% 99.833% Const mixed_4/tower_2/conv/Conv2D_bn_offset | |
| 6.233 0.004 0.585 0.002% 99.835% Const mixed_2/tower_1/conv/conv2d_params | |
| 6.591 0.001 0.584 0.002% 99.836% Const mixed_9/tower_1/mixed/conv/conv2d_params | |
| 6.539 0.002 0.584 0.002% 99.838% Const mixed_8/tower_1/conv_1/conv2d_params | |
| 6.399 0.002 0.584 0.002% 99.839% Const mixed_5/tower_2/conv/Conv2D_bn_offset | |
| 6.630 0.002 0.584 0.002% 99.841% Const mixed_10/tower_1/conv/conv2d_params | |
| 6.093 0.002 0.583 0.002% 99.843% Const softmax/biases | |
| 6.530 0.004 0.583 0.002% 99.844% Const mixed_8/tower_1/conv/conv2d_params | |
| 6.039 0.002 0.583 0.002% 99.846% Const mixed_10/tower_1/mixed/conv/Conv2D_bn_offset | |
| 6.203 0.002 0.582 0.002% 99.847% Const mixed_1/tower_1/conv_2/conv2d_params | |
| 6.496 0.002 0.581 0.002% 99.849% Const mixed_7/tower_1/conv_2/conv2d_params | |
| 6.286 0.002 0.580 0.002% 99.851% Const mixed_4/conv/conv2d_params | |
| 6.103 0.003 0.580 0.002% 99.852% Const conv/Conv2D_bn_offset | |
| 6.353 0.001 0.577 0.002% 99.854% Const mixed_5/tower/conv/Conv2D_bn_offset | |
| 6.147 0.001 0.576 0.002% 99.855% Const mixed/tower/conv_1/Conv2D_bn_offset | |
| 6.468 0.001 0.574 0.002% 99.857% Const mixed_7/tower/conv/conv2d_params | |
| 6.431 0.002 0.574 0.002% 99.858% Const mixed_6/tower_1/conv_1/conv2d_params | |
| 6.355 0.002 0.573 0.002% 99.860% Const mixed_5/tower/conv_1/conv2d_params | |
| 6.267 0.002 0.573 0.002% 99.861% Const mixed_3/conv/Conv2D_bn_offset | |
| 6.637 0.002 0.573 0.002% 99.863% Const mixed_10/tower_1/conv_1/conv2d_params | |
| 6.555 0.002 0.571 0.002% 99.865% Const mixed_9/conv/conv2d_params | |
| 6.507 0.003 0.571 0.002% 99.866% Const mixed_7/tower_1/conv_4/conv2d_params | |
| 6.330 0.002 0.568 0.002% 99.868% Const mixed_4/tower_1/conv_3/Conv2D_bn_offset | |
| 6.165 0.002 0.568 0.002% 99.869% Const mixed/tower_1/conv_2/Conv2D_bn_offset | |
| 6.522 0.002 0.567 0.002% 99.871% Const mixed_8/tower/conv/Conv2D_bn_offset | |
| 6.514 0.002 0.565 0.002% 99.872% Const mixed_7/tower_2/conv/conv2d_params | |
| 6.596 0.002 0.564 0.002% 99.874% Const mixed_9/tower_1/mixed/conv_1/conv2d_params | |
| 6.171 0.001 0.563 0.002% 99.875% Const mixed/tower_2/conv/Conv2D_bn_offset | |
| 6.573 0.001 0.562 0.002% 99.877% Const mixed_9/tower/mixed/conv_1/conv2d_params | |
| 6.324 0.002 0.562 0.002% 99.878% Const mixed_4/tower_1/conv_2/Conv2D_bn_offset | |
| 6.544 0.002 0.561 0.002% 99.880% Const mixed_8/tower_1/conv_2/conv2d_params | |
| 6.615 0.001 0.561 0.002% 99.881% Const mixed_10/tower/conv/conv2d_params | |
| 6.299 0.002 0.560 0.002% 99.883% Const mixed_4/tower/conv_1/conv2d_params | |
| 6.059 0.002 0.559 0.002% 99.884% Const mixed_2/join/concat_dim | |
| 6.419 0.002 0.557 0.002% 99.886% Const mixed_6/tower/conv_2/conv2d_params | |
| 6.588 0.002 0.556 0.002% 99.888% Const mixed_9/tower_1/conv_1/Conv2D_bn_offset | |
| 6.493 0.002 0.556 0.002% 99.889% Const mixed_7/tower_1/conv_1/Conv2D_bn_offset | |
| 6.380 0.001 0.556 0.002% 99.891% Const mixed_5/tower_1/conv_2/Conv2D_bn_offset | |
| 6.476 0.001 0.555 0.002% 99.892% Const mixed_7/tower/conv_1/Conv2D_bn_offset | |
| 6.364 0.002 0.555 0.002% 99.894% Const mixed_5/tower/conv_2/Conv2D_bn_offset | |
| 6.336 0.001 0.554 0.002% 99.895% Const mixed_4/tower_1/conv_4/Conv2D_bn_offset | |
| 6.296 0.002 0.554 0.002% 99.897% Const mixed_4/tower/conv/Conv2D_bn_offset | |
| 6.127 0.002 0.554 0.002% 99.898% Const conv_4/Conv2D_bn_offset | |
| 6.576 0.001 0.553 0.002% 99.900% Const mixed_9/tower/mixed/conv_1/Conv2D_bn_offset | |
| 6.110 0.002 0.553 0.002% 99.901% Const conv_1/Conv2D_bn_offset | |
| 6.405 0.001 0.552 0.001% 99.903% Const mixed_6/conv/Conv2D_bn_offset | |
| 6.071 0.002 0.550 0.001% 99.904% Const mixed_5/join/concat_dim | |
| 6.206 0.002 0.550 0.001% 99.906% Const mixed_1/tower_1/conv_2/Conv2D_bn_offset | |
| 6.189 0.002 0.549 0.001% 99.907% Const mixed_1/tower/conv_1/Conv2D_bn_offset | |
| 6.082 0.002 0.547 0.001% 99.909% Const mixed_9/join/concat_dim | |
| 6.121 0.002 0.545 0.001% 99.910% Const conv_3/Conv2D_bn_offset | |
| 6.218 0.002 0.543 0.001% 99.911% Const mixed_2/conv/Conv2D_bn_offset | |
| 6.134 0.003 0.543 0.001% 99.913% Const mixed/conv/Conv2D_bn_offset | |
| 6.182 0.002 0.542 0.001% 99.914% Const mixed_1/tower/conv/Conv2D_bn_offset | |
| 6.488 0.001 0.540 0.001% 99.916% Const mixed_7/tower_1/conv/Conv2D_bn_offset | |
| 6.511 0.002 0.539 0.001% 99.917% Const mixed_7/tower_1/conv_4/Conv2D_bn_offset | |
| 6.195 0.001 0.539 0.001% 99.919% Const mixed_1/tower_1/conv/Conv2D_bn_offset | |
| 6.388 0.002 0.538 0.001% 99.920% Const mixed_5/tower_1/conv_3/Conv2D_bn_offset | |
| 6.068 0.002 0.537 0.001% 99.922% Const mixed_4/join/concat_dim | |
| 6.243 0.002 0.537 0.001% 99.923% Const mixed_2/tower_1/conv_1/Conv2D_bn_offset | |
| 6.302 0.001 0.536 0.001% 99.925% Const mixed_4/tower/conv_1/Conv2D_bn_offset | |
| 6.358 0.001 0.535 0.001% 99.926% Const mixed_5/tower/conv_1/Conv2D_bn_offset | |
| 6.224 0.001 0.535 0.001% 99.928% Const mixed_2/tower/conv/Conv2D_bn_offset | |
| 6.158 0.003 0.535 0.001% 99.929% Const mixed/tower_1/conv_1/Conv2D_bn_offset | |
| 6.152 0.002 0.533 0.001% 99.930% Const mixed/tower_1/conv/Conv2D_bn_offset | |
| 6.499 0.001 0.532 0.001% 99.932% Const mixed_7/tower_1/conv_2/Conv2D_bn_offset | |
| 6.141 0.002 0.532 0.001% 99.933% Const mixed/tower/conv/Conv2D_bn_offset | |
| 6.423 0.001 0.530 0.001% 99.935% Const mixed_6/tower/conv_2/Conv2D_bn_offset | |
| 6.604 0.002 0.529 0.001% 99.936% Const mixed_9/tower_2/conv/Conv2D_bn_offset | |
| 6.628 0.001 0.529 0.001% 99.938% Const mixed_10/tower/mixed/conv_1/Conv2D_bn_offset | |
| 6.617 0.002 0.529 0.001% 99.939% Const mixed_10/tower/conv/Conv2D_bn_offset | |
| 6.465 0.002 0.527 0.001% 99.941% Const mixed_7/conv/Conv2D_bn_offset | |
| 6.441 0.002 0.527 0.001% 99.942% Const mixed_6/tower_1/conv_2/Conv2D_bn_offset | |
| 6.254 0.002 0.527 0.001% 99.943% Const mixed_2/tower_2/conv/Conv2D_bn_offset | |
| 6.238 0.001 0.526 0.001% 99.945% Const mixed_2/tower_1/conv/Conv2D_bn_offset | |
| 6.557 0.004 0.524 0.001% 99.946% Const mixed_9/conv/Conv2D_bn_offset | |
| 6.200 0.002 0.523 0.001% 99.948% Const mixed_1/tower_1/conv_1/Conv2D_bn_offset | |
| 6.534 0.003 0.519 0.001% 99.949% Const mixed_8/tower_1/conv/Conv2D_bn_offset | |
| 6.076 0.002 0.519 0.001% 99.950% Const mixed_7/join/concat_dim | |
| 6.528 0.001 0.518 0.001% 99.952% Const mixed_8/tower/conv_1/Conv2D_bn_offset | |
| 6.079 0.002 0.518 0.001% 99.953% Const mixed_8/join/concat_dim | |
| 6.542 0.001 0.517 0.001% 99.955% Const mixed_8/tower_1/conv_1/Conv2D_bn_offset | |
| 6.284 0.001 0.517 0.001% 99.956% Const mixed_3/tower/conv_2/Conv2D_bn_offset | |
| 6.547 0.002 0.516 0.001% 99.958% Const mixed_8/tower_1/conv_2/Conv2D_bn_offset | |
| 6.278 0.002 0.516 0.001% 99.959% Const mixed_3/tower/conv_1/Conv2D_bn_offset | |
| 6.074 0.002 0.515 0.001% 99.960% Const mixed_6/join/concat_dim | |
| 6.369 0.002 0.515 0.001% 99.962% Const mixed_5/tower_1/conv/Conv2D_bn_offset | |
| 6.570 0.001 0.514 0.001% 99.963% Const mixed_9/tower/mixed/conv/Conv2D_bn_offset | |
| 6.312 0.003 0.513 0.001% 99.965% Const mixed_4/tower_1/conv/Conv2D_bn_offset | |
| 6.307 0.002 0.513 0.001% 99.966% Const mixed_4/tower/conv_2/Conv2D_bn_offset | |
| 6.289 0.003 0.513 0.001% 99.967% Const mixed_4/conv/Conv2D_bn_offset | |
| 6.375 0.001 0.512 0.001% 99.969% Const mixed_5/tower_1/conv_1/Conv2D_bn_offset | |
| 6.481 0.002 0.511 0.001% 99.970% Const mixed_7/tower/conv_2/Conv2D_bn_offset | |
| 6.319 0.002 0.511 0.001% 99.971% Const mixed_4/tower_1/conv_1/Conv2D_bn_offset | |
| 6.517 0.001 0.510 0.001% 99.973% Const mixed_7/tower_2/conv/Conv2D_bn_offset | |
| 6.434 0.003 0.510 0.001% 99.974% Const mixed_6/tower_1/conv_1/Conv2D_bn_offset | |
| 6.623 0.001 0.510 0.001% 99.976% Const mixed_10/tower/mixed/conv/Conv2D_bn_offset | |
| 6.612 0.002 0.510 0.001% 99.977% Const mixed_10/conv/Conv2D_bn_offset | |
| 6.599 0.001 0.506 0.001% 99.978% Const mixed_9/tower_1/mixed/conv_1/Conv2D_bn_offset | |
| 6.581 0.003 0.503 0.001% 99.980% Const mixed_9/tower_1/conv/Conv2D_bn_offset | |
| 6.565 0.001 0.503 0.001% 99.981% Const mixed_9/tower/conv/Conv2D_bn_offset | |
| 6.062 0.005 0.503 0.001% 99.982% Const mixed_3/join/concat_dim | |
| 6.447 0.001 0.501 0.001% 99.984% Const mixed_6/tower_1/conv_3/Conv2D_bn_offset | |
| 6.347 0.002 0.501 0.001% 99.985% Const mixed_5/conv/Conv2D_bn_offset | |
| 6.634 0.002 0.500 0.001% 99.987% Const mixed_10/tower_1/conv/Conv2D_bn_offset | |
| 6.231 0.001 0.499 0.001% 99.988% Const mixed_2/tower/conv_1/Conv2D_bn_offset | |
| 6.504 0.002 0.498 0.001% 99.989% Const mixed_7/tower_1/conv_3/Conv2D_bn_offset | |
| 6.457 0.003 0.497 0.001% 99.991% Const mixed_6/tower_2/conv/Conv2D_bn_offset | |
| 6.594 0.001 0.496 0.001% 99.992% Const mixed_9/tower_1/mixed/conv/Conv2D_bn_offset | |
| 6.428 0.002 0.496 0.001% 99.993% Const mixed_6/tower_1/conv/Conv2D_bn_offset | |
| 6.417 0.001 0.496 0.001% 99.995% Const mixed_6/tower/conv_1/Conv2D_bn_offset | |
| 6.412 0.001 0.496 0.001% 99.996% Const mixed_6/tower/conv/Conv2D_bn_offset | |
| 6.552 0.002 0.494 0.001% 99.997% Const mixed_8/tower_1/conv_3/Conv2D_bn_offset | |
| 6.394 0.001 0.490 0.001% 99.999% Const mixed_5/tower_1/conv_4/Conv2D_bn_offset | |
| 6.085 0.001 0.487 0.001% 100.000% Const mixed_10/join/concat_dim | |
| Total Memory (bytes): curr=28625707200 count=11 runs, avg 3.682e+04 ms, 514 nodes defined 514 nodes observed | |
| 28625707.2 avg KB per run. | |
| ============ By run order (KB) ================= | |
| [start] [first] [avg] [%] [cdf%] [Op] [Name] | |
| 0.000 0.000 0.000 0.000% 0.000% Const conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const conv_3/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const conv_3/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const conv_4/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const conv_4/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 0.000% Const conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 0.000% Const conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_1/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower/mixed/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower/mixed/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower/mixed/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower/mixed/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower_1/mixed/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower_1/mixed/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower_1/mixed/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower_1/mixed/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_10/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_2/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_3/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_3/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 0.000% Const mixed_3/join/concat_dim | |
| 0.000 2841.728633705.344 2.214% 2.214% Conv2D conv/Conv2D | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_3/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_3/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_3/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_3/tower/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_3/tower/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_3/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower_1/conv_3/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower_1/conv_3/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower_1/conv_4/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower_1/conv_4/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower_1/conv_3/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower_1/conv_3/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower_1/conv_4/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower_1/conv_4/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_5/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_4/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower_1/conv_4/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower_1/conv_3/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower_1/conv_4/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_6/tower_1/conv_3/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% _SOURCE | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower_1/conv_3/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower_1/conv_3/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower_1/conv_4/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower_1/conv_4/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_8/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_8/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_7/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_8/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_8/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_8/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_8/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_8/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_8/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_8/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_8/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_8/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_8/tower_1/conv_3/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_8/tower_1/conv_3/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower/mixed/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower/mixed/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower/mixed/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower/mixed/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower_1/mixed/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower_1/mixed/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower_1/mixed/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower_1/mixed/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 2.214% Const mixed_9/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 2.214% Const softmax/weights | |
| 0.000 0.000 0.000 0.000% 2.214% Const pool_3/_reshape/shape | |
| 0.000 0.000 0.000 0.000% 2.214% Const softmax/biases | |
| 2841.728 2841.728633705.344 2.214% 4.428% BiasAdd conv/batchnorm | |
| 5683.456 2841.728633705.344 2.214% 6.641% Relu conv | |
| 8525.184 2765.952616807.296 2.155% 8.796% Conv2D conv_1/Conv2D | |
| 11291.136 2765.952616807.296 2.155% 10.951% BiasAdd conv_1/batchnorm | |
| 14057.088 2765.952616807.296 2.155% 13.105% Relu conv_1 | |
| 16823.040 5531.9041233614.592 4.309% 17.415% Conv2D conv_2/Conv2D | |
| 22354.944 5531.9041233614.592 4.309% 21.724% BiasAdd conv_2/batchnorm | |
| 27886.848 5531.9041233614.592 4.309% 26.034% Relu conv_2 | |
| 33418.752 1364.224304221.952 1.063% 27.097% MaxPool pool | |
| 34782.976 1705.280380277.440 1.328% 28.425% Conv2D conv_3/Conv2D | |
| 36488.256 1705.280380277.440 1.328% 29.754% BiasAdd conv_3/batchnorm | |
| 38193.536 1705.280380277.440 1.328% 31.082% Relu conv_3 | |
| 39898.816 3871.488863341.824 3.016% 34.098% Conv2D conv_4/Conv2D | |
| 43770.304 3871.488863341.824 3.016% 37.114% BiasAdd conv_4/batchnorm | |
| 47641.792 3871.488863341.824 3.016% 40.130% Relu conv_4 | |
| 51513.280 940.800209798.400 0.733% 40.863% MaxPool pool_1 | |
| 52454.080 313.60069932.800 0.244% 41.107% Conv2D mixed/tower_1/conv/Conv2D | |
| 52767.680 313.60069932.800 0.244% 41.351% Conv2D mixed/conv/Conv2D | |
| 53081.280 235.20052449.600 0.183% 41.535% Conv2D mixed/tower/conv/Conv2D | |
| 53316.480 313.60069932.800 0.244% 41.779% BiasAdd mixed/tower_1/conv/batchnorm | |
| 53630.080 313.60069932.800 0.244% 42.023% BiasAdd mixed/conv/batchnorm | |
| 53943.680 313.60069932.800 0.244% 42.268% Relu mixed/tower_1/conv | |
| 54257.280 313.60069932.800 0.244% 42.512% Relu mixed/conv | |
| 54570.880 235.20052449.600 0.183% 42.695% BiasAdd mixed/tower/conv/batchnorm | |
| 54806.080 235.20052449.600 0.183% 42.878% Relu mixed/tower/conv | |
| 55041.280 940.800209798.400 0.733% 43.611% AvgPool mixed/tower_2/pool | |
| 55982.080 156.80034966.400 0.122% 43.733% Conv2D mixed/tower_2/conv/Conv2D | |
| 56138.880 470.400104899.200 0.366% 44.100% Conv2D mixed/tower_1/conv_1/Conv2D | |
| 56609.280 156.80034966.400 0.122% 44.222% BiasAdd mixed/tower_2/conv/batchnorm | |
| 56766.080 156.80034966.400 0.122% 44.344% Relu mixed/tower_2/conv | |
| 56922.880 470.400104899.200 0.366% 44.711% BiasAdd mixed/tower_1/conv_1/batchnorm | |
| 57393.280 470.400104899.200 0.366% 45.077% Relu mixed/tower_1/conv_1 | |
| 57863.680 313.60069932.800 0.244% 45.321% Conv2D mixed/tower/conv_1/Conv2D | |
| 58177.280 313.60069932.800 0.244% 45.566% BiasAdd mixed/tower/conv_1/batchnorm | |
| 58490.880 313.60069932.800 0.244% 45.810% Relu mixed/tower/conv_1 | |
| 58804.480 470.400104899.200 0.366% 46.176% Conv2D mixed/tower_1/conv_2/Conv2D | |
| 59274.880 470.400104899.200 0.366% 46.543% BiasAdd mixed/tower_1/conv_2/batchnorm | |
| 59745.280 470.400104899.200 0.366% 46.909% Relu mixed/tower_1/conv_2 | |
| 60215.680 1254.400279731.200 0.977% 47.886% Concat mixed/join | |
| 61470.080 235.20052449.600 0.183% 48.070% Conv2D mixed_1/tower/conv/Conv2D | |
| 61705.280 235.20052449.600 0.183% 48.253% BiasAdd mixed_1/tower/conv/batchnorm | |
| 61940.480 313.60069932.800 0.244% 48.497% Conv2D mixed_1/tower_1/conv/Conv2D | |
| 62254.080 313.60069932.800 0.244% 48.741% Conv2D mixed_1/conv/Conv2D | |
| 62567.680 235.20052449.600 0.183% 48.925% Relu mixed_1/tower/conv | |
| 62802.880 313.60069932.800 0.244% 49.169% BiasAdd mixed_1/tower_1/conv/batchnorm | |
| 63116.480 313.60069932.800 0.244% 49.413% BiasAdd mixed_1/conv/batchnorm | |
| 63430.080 313.60069932.800 0.244% 49.658% Relu mixed_1/conv | |
| 63743.680 313.60069932.800 0.244% 49.902% Relu mixed_1/tower_1/conv | |
| 64057.280 1254.400279731.200 0.977% 50.879% AvgPool mixed_1/tower_2/pool | |
| 65311.680 313.60069932.800 0.244% 51.123% Conv2D mixed_1/tower_2/conv/Conv2D | |
| 65625.280 313.60069932.800 0.244% 51.368% BiasAdd mixed_1/tower_2/conv/batchnorm | |
| 65938.880 313.60069932.800 0.244% 51.612% Relu mixed_1/tower_2/conv | |
| 66252.480 313.60069932.800 0.244% 51.856% Conv2D mixed_1/tower/conv_1/Conv2D | |
| 66566.080 313.60069932.800 0.244% 52.101% BiasAdd mixed_1/tower/conv_1/batchnorm | |
| 66879.680 313.60069932.800 0.244% 52.345% Relu mixed_1/tower/conv_1 | |
| 67193.280 470.400104899.200 0.366% 52.711% Conv2D mixed_1/tower_1/conv_1/Conv2D | |
| 67663.680 470.400104899.200 0.366% 53.078% BiasAdd mixed_1/tower_1/conv_1/batchnorm | |
| 68134.080 470.400104899.200 0.366% 53.444% Relu mixed_1/tower_1/conv_1 | |
| 68604.480 470.400104899.200 0.366% 53.811% Conv2D mixed_1/tower_1/conv_2/Conv2D | |
| 69074.880 470.400104899.200 0.366% 54.177% BiasAdd mixed_1/tower_1/conv_2/batchnorm | |
| 69545.280 470.400104899.200 0.366% 54.544% Relu mixed_1/tower_1/conv_2 | |
| 70015.680 1411.200314697.600 1.099% 55.643% Concat mixed_1/join | |
| 71426.880 235.20052449.600 0.183% 55.826% Conv2D mixed_2/tower/conv/Conv2D | |
| 71662.080 313.60069932.800 0.244% 56.070% Conv2D mixed_2/tower_1/conv/Conv2D | |
| 71975.680 235.20052449.600 0.183% 56.254% BiasAdd mixed_2/tower/conv/batchnorm | |
| 72210.880 313.60069932.800 0.244% 56.498% BiasAdd mixed_2/tower_1/conv/batchnorm | |
| 72524.480 235.20052449.600 0.183% 56.681% Relu mixed_2/tower/conv | |
| 72759.680 313.60069932.800 0.244% 56.926% Conv2D mixed_2/conv/Conv2D | |
| 73073.280 313.60069932.800 0.244% 57.170% Relu mixed_2/tower_1/conv | |
| 73386.880 313.60069932.800 0.244% 57.414% BiasAdd mixed_2/conv/batchnorm | |
| 73700.480 313.60069932.800 0.244% 57.658% Relu mixed_2/conv | |
| 74014.080 1411.200314697.600 1.099% 58.758% AvgPool mixed_2/tower_2/pool | |
| 75425.280 313.60069932.800 0.244% 59.002% Conv2D mixed_2/tower_2/conv/Conv2D | |
| 75738.880 313.60069932.800 0.244% 59.246% BiasAdd mixed_2/tower_2/conv/batchnorm | |
| 76052.480 313.60069932.800 0.244% 59.491% Relu mixed_2/tower_2/conv | |
| 76366.080 313.60069932.800 0.244% 59.735% Conv2D mixed_2/tower/conv_1/Conv2D | |
| 76679.680 313.60069932.800 0.244% 59.979% BiasAdd mixed_2/tower/conv_1/batchnorm | |
| 76993.280 313.60069932.800 0.244% 60.224% Relu mixed_2/tower/conv_1 | |
| 77306.880 470.400104899.200 0.366% 60.590% Conv2D mixed_2/tower_1/conv_1/Conv2D | |
| 77777.280 470.400104899.200 0.366% 60.957% BiasAdd mixed_2/tower_1/conv_1/batchnorm | |
| 78247.680 470.400104899.200 0.366% 61.323% Relu mixed_2/tower_1/conv_1 | |
| 78718.080 470.400104899.200 0.366% 61.689% Conv2D mixed_2/tower_1/conv_2/Conv2D | |
| 79188.480 470.400104899.200 0.366% 62.056% BiasAdd mixed_2/tower_1/conv_2/batchnorm | |
| 79658.880 470.400104899.200 0.366% 62.422% Relu mixed_2/tower_1/conv_2 | |
| 80129.280 1411.200314697.600 1.099% 63.522% Concat mixed_2/join | |
| 81540.480 332.92874242.944 0.259% 63.781% MaxPool mixed_3/pool | |
| 81873.408 313.60069932.800 0.244% 64.025% Conv2D mixed_3/tower/conv/Conv2D | |
| 82187.008 313.60069932.800 0.244% 64.270% BiasAdd mixed_3/tower/conv/batchnorm | |
| 82500.608 313.60069932.800 0.244% 64.514% Relu mixed_3/tower/conv | |
| 82814.208 443.90498990.592 0.346% 64.860% Conv2D mixed_3/conv/Conv2D | |
| 83258.112 443.90498990.592 0.346% 65.206% BiasAdd mixed_3/conv/batchnorm | |
| 83702.016 443.90498990.592 0.346% 65.551% Relu mixed_3/conv | |
| 84145.920 470.400104899.200 0.366% 65.918% Conv2D mixed_3/tower/conv_1/Conv2D | |
| 84616.320 470.400104899.200 0.366% 66.284% BiasAdd mixed_3/tower/conv_1/batchnorm | |
| 85086.720 470.400104899.200 0.366% 66.651% Relu mixed_3/tower/conv_1 | |
| 85557.120 110.97624747.648 0.086% 66.737% Conv2D mixed_3/tower/conv_2/Conv2D | |
| 85668.096 110.97624747.648 0.086% 66.824% BiasAdd mixed_3/tower/conv_2/batchnorm | |
| 85779.072 110.97624747.648 0.086% 66.910% Relu mixed_3/tower/conv_2 | |
| 85890.048 887.808197981.184 0.692% 67.602% Concat mixed_3/join | |
| 86777.856 887.808197981.184 0.692% 68.293% AvgPool mixed_4/tower_2/pool | |
| 87665.664 147.96832996.864 0.115% 68.409% Conv2D mixed_4/tower_1/conv/Conv2D | |
| 87813.632 147.96832996.864 0.115% 68.524% BiasAdd mixed_4/tower_1/conv/batchnorm | |
| 87961.600 147.96832996.864 0.115% 68.639% Relu mixed_4/tower_1/conv | |
| 88109.568 221.95249495.296 0.173% 68.812% Conv2D mixed_4/conv/Conv2D | |
| 88331.520 147.96832996.864 0.115% 68.927% Conv2D mixed_4/tower/conv/Conv2D | |
| 88479.488 221.95249495.296 0.173% 69.100% Conv2D mixed_4/tower_2/conv/Conv2D | |
| 88701.440 147.96832996.864 0.115% 69.215% BiasAdd mixed_4/tower/conv/batchnorm | |
| 88849.408 221.95249495.296 0.173% 69.388% BiasAdd mixed_4/conv/batchnorm | |
| 89071.360 147.96832996.864 0.115% 69.504% Relu mixed_4/tower/conv | |
| 89219.328 221.95249495.296 0.173% 69.677% Relu mixed_4/conv | |
| 89441.280 221.95249495.296 0.173% 69.849% BiasAdd mixed_4/tower_2/conv/batchnorm | |
| 89663.232 147.96832996.864 0.115% 69.965% Conv2D mixed_4/tower_1/conv_1/Conv2D | |
| 89811.200 221.95249495.296 0.173% 70.138% Relu mixed_4/tower_2/conv | |
| 90033.152 147.96832996.864 0.115% 70.253% BiasAdd mixed_4/tower_1/conv_1/batchnorm | |
| 90181.120 147.96832996.864 0.115% 70.368% Relu mixed_4/tower_1/conv_1 | |
| 90329.088 147.96832996.864 0.115% 70.483% Conv2D mixed_4/tower/conv_1/Conv2D | |
| 90477.056 147.96832996.864 0.115% 70.599% BiasAdd mixed_4/tower/conv_1/batchnorm | |
| 90625.024 147.96832996.864 0.115% 70.714% Relu mixed_4/tower/conv_1 | |
| 90772.992 147.96832996.864 0.115% 70.829% Conv2D mixed_4/tower_1/conv_2/Conv2D | |
| 90920.960 147.96832996.864 0.115% 70.945% BiasAdd mixed_4/tower_1/conv_2/batchnorm | |
| 91068.928 147.96832996.864 0.115% 71.060% Relu mixed_4/tower_1/conv_2 | |
| 91216.896 221.95249495.296 0.173% 71.233% Conv2D mixed_4/tower/conv_2/Conv2D | |
| 91438.848 221.95249495.296 0.173% 71.406% BiasAdd mixed_4/tower/conv_2/batchnorm | |
| 91660.800 221.95249495.296 0.173% 71.579% Relu mixed_4/tower/conv_2 | |
| 91882.752 147.96832996.864 0.115% 71.694% Conv2D mixed_4/tower_1/conv_3/Conv2D | |
| 92030.720 147.96832996.864 0.115% 71.809% BiasAdd mixed_4/tower_1/conv_3/batchnorm | |
| 92178.688 147.96832996.864 0.115% 71.924% Relu mixed_4/tower_1/conv_3 | |
| 92326.656 221.95249495.296 0.173% 72.097% Conv2D mixed_4/tower_1/conv_4/Conv2D | |
| 92548.608 221.95249495.296 0.173% 72.270% BiasAdd mixed_4/tower_1/conv_4/batchnorm | |
| 92770.560 221.95249495.296 0.173% 72.443% Relu mixed_4/tower_1/conv_4 | |
| 92992.512 887.808197981.184 0.692% 73.135% Concat mixed_4/join | |
| 93880.320 887.808197981.184 0.692% 73.826% AvgPool mixed_5/tower_2/pool | |
| 94768.128 184.96041246.080 0.144% 73.970% Conv2D mixed_5/tower_1/conv/Conv2D | |
| 94953.088 184.96041246.080 0.144% 74.114% Conv2D mixed_5/tower/conv/Conv2D | |
| 95138.048 221.95249495.296 0.173% 74.287% Conv2D mixed_5/conv/Conv2D | |
| 95360.000 184.96041246.080 0.144% 74.431% BiasAdd mixed_5/tower_1/conv/batchnorm | |
| 95544.960 184.96041246.080 0.144% 74.576% BiasAdd mixed_5/tower/conv/batchnorm | |
| 95729.920 184.96041246.080 0.144% 74.720% Relu mixed_5/tower_1/conv | |
| 95914.880 221.95249495.296 0.173% 74.893% BiasAdd mixed_5/conv/batchnorm | |
| 96136.832 184.96041246.080 0.144% 75.037% Relu mixed_5/tower/conv | |
| 96321.792 221.95249495.296 0.173% 75.210% Relu mixed_5/conv | |
| 96543.744 221.95249495.296 0.173% 75.382% Conv2D mixed_5/tower_2/conv/Conv2D | |
| 96765.696 221.95249495.296 0.173% 75.555% BiasAdd mixed_5/tower_2/conv/batchnorm | |
| 96987.648 221.95249495.296 0.173% 75.728% Relu mixed_5/tower_2/conv | |
| 97209.600 184.96041246.080 0.144% 75.872% Conv2D mixed_5/tower_1/conv_1/Conv2D | |
| 97394.560 184.96041246.080 0.144% 76.016% BiasAdd mixed_5/tower_1/conv_1/batchnorm | |
| 97579.520 184.96041246.080 0.144% 76.160% Relu mixed_5/tower_1/conv_1 | |
| 97764.480 184.96041246.080 0.144% 76.305% Conv2D mixed_5/tower/conv_1/Conv2D | |
| 97949.440 184.96041246.080 0.144% 76.449% BiasAdd mixed_5/tower/conv_1/batchnorm | |
| 98134.400 184.96041246.080 0.144% 76.593% Relu mixed_5/tower/conv_1 | |
| 98319.360 184.96041246.080 0.144% 76.737% Conv2D mixed_5/tower_1/conv_2/Conv2D | |
| 98504.320 184.96041246.080 0.144% 76.881% BiasAdd mixed_5/tower_1/conv_2/batchnorm | |
| 98689.280 184.96041246.080 0.144% 77.025% Relu mixed_5/tower_1/conv_2 | |
| 98874.240 221.95249495.296 0.173% 77.198% Conv2D mixed_5/tower/conv_2/Conv2D | |
| 99096.192 221.95249495.296 0.173% 77.371% BiasAdd mixed_5/tower/conv_2/batchnorm | |
| 99318.144 221.95249495.296 0.173% 77.544% Relu mixed_5/tower/conv_2 | |
| 99540.096 184.96041246.080 0.144% 77.688% Conv2D mixed_5/tower_1/conv_3/Conv2D | |
| 99725.056 184.96041246.080 0.144% 77.832% BiasAdd mixed_5/tower_1/conv_3/batchnorm | |
| 99910.016 184.96041246.080 0.144% 77.976% Relu mixed_5/tower_1/conv_3 | |
| 100094.976 221.95249495.296 0.173% 78.149% Conv2D mixed_5/tower_1/conv_4/Conv2D | |
| 100316.928 221.95249495.296 0.173% 78.322% BiasAdd mixed_5/tower_1/conv_4/batchnorm | |
| 100538.880 221.95249495.296 0.173% 78.495% Relu mixed_5/tower_1/conv_4 | |
| 100760.832 887.808197981.184 0.692% 79.186% Concat mixed_5/join | |
| 101648.640 887.808197981.184 0.692% 79.878% AvgPool mixed_6/tower_2/pool | |
| 102536.448 184.96041246.080 0.144% 80.022% Conv2D mixed_6/tower/conv/Conv2D | |
| 102721.408 221.95249495.296 0.173% 80.195% Conv2D mixed_6/conv/Conv2D | |
| 102943.360 184.96041246.080 0.144% 80.339% Conv2D mixed_6/tower_1/conv/Conv2D | |
| 103128.320 184.96041246.080 0.144% 80.483% BiasAdd mixed_6/tower/conv/batchnorm | |
| 103313.280 184.96041246.080 0.144% 80.627% BiasAdd mixed_6/tower_1/conv/batchnorm | |
| 103498.240 221.95249495.296 0.173% 80.800% BiasAdd mixed_6/conv/batchnorm | |
| 103720.192 184.96041246.080 0.144% 80.944% Relu mixed_6/tower/conv | |
| 103905.152 184.96041246.080 0.144% 81.088% Relu mixed_6/tower_1/conv | |
| 104090.112 221.95249495.296 0.173% 81.261% Relu mixed_6/conv | |
| 104312.064 221.95249495.296 0.173% 81.434% Conv2D mixed_6/tower_2/conv/Conv2D | |
| 104534.016 221.95249495.296 0.173% 81.607% BiasAdd mixed_6/tower_2/conv/batchnorm | |
| 104755.968 221.95249495.296 0.173% 81.780% Relu mixed_6/tower_2/conv | |
| 104977.920 184.96041246.080 0.144% 81.924% Conv2D mixed_6/tower/conv_1/Conv2D | |
| 105162.880 184.96041246.080 0.144% 82.068% BiasAdd mixed_6/tower/conv_1/batchnorm | |
| 105347.840 184.96041246.080 0.144% 82.212% Relu mixed_6/tower/conv_1 | |
| 105532.800 184.96041246.080 0.144% 82.356% Conv2D mixed_6/tower_1/conv_1/Conv2D | |
| 105717.760 184.96041246.080 0.144% 82.500% BiasAdd mixed_6/tower_1/conv_1/batchnorm | |
| 105902.720 184.96041246.080 0.144% 82.644% Relu mixed_6/tower_1/conv_1 | |
| 106087.680 221.95249495.296 0.173% 82.817% Conv2D mixed_6/tower/conv_2/Conv2D | |
| 106309.632 221.95249495.296 0.173% 82.990% BiasAdd mixed_6/tower/conv_2/batchnorm | |
| 106531.584 221.95249495.296 0.173% 83.163% Relu mixed_6/tower/conv_2 | |
| 106753.536 184.96041246.080 0.144% 83.307% Conv2D mixed_6/tower_1/conv_2/Conv2D | |
| 106938.496 184.96041246.080 0.144% 83.451% BiasAdd mixed_6/tower_1/conv_2/batchnorm | |
| 107123.456 184.96041246.080 0.144% 83.595% Relu mixed_6/tower_1/conv_2 | |
| 107308.416 184.96041246.080 0.144% 83.739% Conv2D mixed_6/tower_1/conv_3/Conv2D | |
| 107493.376 184.96041246.080 0.144% 83.884% BiasAdd mixed_6/tower_1/conv_3/batchnorm | |
| 107678.336 184.96041246.080 0.144% 84.028% Relu mixed_6/tower_1/conv_3 | |
| 107863.296 221.95249495.296 0.173% 84.201% Conv2D mixed_6/tower_1/conv_4/Conv2D | |
| 108085.248 221.95249495.296 0.173% 84.373% BiasAdd mixed_6/tower_1/conv_4/batchnorm | |
| 108307.200 221.95249495.296 0.173% 84.546% Relu mixed_6/tower_1/conv_4 | |
| 108529.152 887.808197981.184 0.692% 85.238% Concat mixed_6/join | |
| 109416.960 887.808197981.184 0.692% 85.930% AvgPool mixed_7/tower_2/pool | |
| 110304.768 221.95249495.296 0.173% 86.103% Conv2D mixed_7/tower_1/conv/Conv2D | |
| 110526.720 221.95249495.296 0.173% 86.275% BiasAdd mixed_7/tower_1/conv/batchnorm | |
| 110748.672 221.95249495.296 0.173% 86.448% Conv2D mixed_7/conv/Conv2D | |
| 110970.624 221.95249495.296 0.173% 86.621% Relu mixed_7/tower_1/conv | |
| 111192.576 221.95249495.296 0.173% 86.794% Conv2D mixed_7/tower/conv/Conv2D | |
| 111414.528 221.95249495.296 0.173% 86.967% Conv2D mixed_7/tower_2/conv/Conv2D | |
| 111636.480 221.95249495.296 0.173% 87.140% BiasAdd mixed_7/conv/batchnorm | |
| 111858.432 221.95249495.296 0.173% 87.313% Relu mixed_7/conv | |
| 112080.384 221.95249495.296 0.173% 87.486% BiasAdd mixed_7/tower/conv/batchnorm | |
| 112302.336 221.95249495.296 0.173% 87.659% Relu mixed_7/tower/conv | |
| 112524.288 221.95249495.296 0.173% 87.832% BiasAdd mixed_7/tower_2/conv/batchnorm | |
| 112746.240 221.95249495.296 0.173% 88.004% Relu mixed_7/tower_2/conv | |
| 112968.192 221.95249495.296 0.173% 88.177% Conv2D mixed_7/tower_1/conv_1/Conv2D | |
| 113190.144 221.95249495.296 0.173% 88.350% BiasAdd mixed_7/tower_1/conv_1/batchnorm | |
| 113412.096 221.95249495.296 0.173% 88.523% Relu mixed_7/tower_1/conv_1 | |
| 113634.048 221.95249495.296 0.173% 88.696% Conv2D mixed_7/tower/conv_1/Conv2D | |
| 113856.000 221.95249495.296 0.173% 88.869% BiasAdd mixed_7/tower/conv_1/batchnorm | |
| 114077.952 221.95249495.296 0.173% 89.042% Relu mixed_7/tower/conv_1 | |
| 114299.904 221.95249495.296 0.173% 89.215% Conv2D mixed_7/tower_1/conv_2/Conv2D | |
| 114521.856 221.95249495.296 0.173% 89.388% BiasAdd mixed_7/tower_1/conv_2/batchnorm | |
| 114743.808 221.95249495.296 0.173% 89.561% Relu mixed_7/tower_1/conv_2 | |
| 114965.760 221.95249495.296 0.173% 89.734% Conv2D mixed_7/tower/conv_2/Conv2D | |
| 115187.712 221.95249495.296 0.173% 89.906% BiasAdd mixed_7/tower/conv_2/batchnorm | |
| 115409.664 221.95249495.296 0.173% 90.079% Relu mixed_7/tower/conv_2 | |
| 115631.616 221.95249495.296 0.173% 90.252% Conv2D mixed_7/tower_1/conv_3/Conv2D | |
| 115853.568 221.95249495.296 0.173% 90.425% BiasAdd mixed_7/tower_1/conv_3/batchnorm | |
| 116075.520 221.95249495.296 0.173% 90.598% Relu mixed_7/tower_1/conv_3 | |
| 116297.472 221.95249495.296 0.173% 90.771% Conv2D mixed_7/tower_1/conv_4/Conv2D | |
| 116519.424 221.95249495.296 0.173% 90.944% BiasAdd mixed_7/tower_1/conv_4/batchnorm | |
| 116741.376 221.95249495.296 0.173% 91.117% Relu mixed_7/tower_1/conv_4 | |
| 116963.328 887.808197981.184 0.692% 91.808% Concat mixed_7/join | |
| 117851.136 196.60843843.584 0.153% 91.962% MaxPool mixed_8/pool | |
| 118047.744 221.95249495.296 0.173% 92.134% Conv2D mixed_8/tower_1/conv/Conv2D | |
| 118269.696 221.95249495.296 0.173% 92.307% BiasAdd mixed_8/tower_1/conv/batchnorm | |
| 118491.648 221.95249495.296 0.173% 92.480% Conv2D mixed_8/tower/conv/Conv2D | |
| 118713.600 221.95249495.296 0.173% 92.653% Relu mixed_8/tower_1/conv | |
| 118935.552 221.95249495.296 0.173% 92.826% BiasAdd mixed_8/tower/conv/batchnorm | |
| 119157.504 221.95249495.296 0.173% 92.999% Relu mixed_8/tower/conv | |
| 119379.456 221.95249495.296 0.173% 93.172% Conv2D mixed_8/tower_1/conv_1/Conv2D | |
| 119601.408 221.95249495.296 0.173% 93.345% BiasAdd mixed_8/tower_1/conv_1/batchnorm | |
| 119823.360 221.95249495.296 0.173% 93.518% Relu mixed_8/tower_1/conv_1 | |
| 120045.312 81.92018268.160 0.064% 93.582% Conv2D mixed_8/tower/conv_1/Conv2D | |
| 120127.232 81.92018268.160 0.064% 93.645% BiasAdd mixed_8/tower/conv_1/batchnorm | |
| 120209.152 81.92018268.160 0.064% 93.709% Relu mixed_8/tower/conv_1 | |
| 120291.072 221.95249495.296 0.173% 93.882% Conv2D mixed_8/tower_1/conv_2/Conv2D | |
| 120513.024 221.95249495.296 0.173% 94.055% BiasAdd mixed_8/tower_1/conv_2/batchnorm | |
| 120734.976 221.95249495.296 0.173% 94.228% Relu mixed_8/tower_1/conv_2 | |
| 120956.928 49.15210960.896 0.038% 94.266% Conv2D mixed_8/tower_1/conv_3/Conv2D | |
| 121006.080 49.15210960.896 0.038% 94.304% BiasAdd mixed_8/tower_1/conv_3/batchnorm | |
| 121055.232 49.15210960.896 0.038% 94.343% Relu mixed_8/tower_1/conv_3 | |
| 121104.384 327.68073072.640 0.255% 94.598% Concat mixed_8/join | |
| 121432.064 327.68073072.640 0.255% 94.853% AvgPool mixed_9/tower_2/pool | |
| 121759.744 114.68825575.424 0.089% 94.943% Conv2D mixed_9/tower_1/conv/Conv2D | |
| 121874.432 114.68825575.424 0.089% 95.032% BiasAdd mixed_9/tower_1/conv/batchnorm | |
| 121989.120 114.68825575.424 0.089% 95.121% Relu mixed_9/tower_1/conv | |
| 122103.808 98.30421921.792 0.077% 95.198% Conv2D mixed_9/tower/conv/Conv2D | |
| 122202.112 98.30421921.792 0.077% 95.274% BiasAdd mixed_9/tower/conv/batchnorm | |
| 122300.416 98.30421921.792 0.077% 95.351% Relu mixed_9/tower/conv | |
| 122398.720 81.92018268.160 0.064% 95.415% Conv2D mixed_9/conv/Conv2D | |
| 122480.640 81.92018268.160 0.064% 95.479% BiasAdd mixed_9/conv/batchnorm | |
| 122562.560 81.92018268.160 0.064% 95.543% Relu mixed_9/conv | |
| 122644.480 49.15210960.896 0.038% 95.581% Conv2D mixed_9/tower_2/conv/Conv2D | |
| 122693.632 49.15210960.896 0.038% 95.619% BiasAdd mixed_9/tower_2/conv/batchnorm | |
| 122742.784 49.15210960.896 0.038% 95.657% Relu mixed_9/tower_2/conv | |
| 122791.936 98.30421921.792 0.077% 95.734% Conv2D mixed_9/tower_1/conv_1/Conv2D | |
| 122890.240 98.30421921.792 0.077% 95.811% BiasAdd mixed_9/tower_1/conv_1/batchnorm | |
| 122988.544 98.30421921.792 0.077% 95.887% Relu mixed_9/tower_1/conv_1 | |
| 123086.848 98.30421921.792 0.077% 95.964% Conv2D mixed_9/tower/mixed/conv_1/Conv2D | |
| 123185.152 98.30421921.792 0.077% 96.040% BiasAdd mixed_9/tower/mixed/conv_1/batchnorm | |
| 123283.456 98.30421921.792 0.077% 96.117% Relu mixed_9/tower/mixed/conv_1 | |
| 123381.760 98.30421921.792 0.077% 96.193% Conv2D mixed_9/tower/mixed/conv/Conv2D | |
| 123480.064 98.30421921.792 0.077% 96.270% BiasAdd mixed_9/tower/mixed/conv/batchnorm | |
| 123578.368 98.30421921.792 0.077% 96.347% Relu mixed_9/tower/mixed/conv | |
| 123676.672 98.30421921.792 0.077% 96.423% Conv2D mixed_9/tower_1/mixed/conv_1/Conv2D | |
| 123774.976 98.30421921.792 0.077% 96.500% BiasAdd mixed_9/tower_1/mixed/conv_1/batchnorm | |
| 123873.280 98.30421921.792 0.077% 96.576% Relu mixed_9/tower_1/mixed/conv_1 | |
| 123971.584 98.30421921.792 0.077% 96.653% Conv2D mixed_9/tower_1/mixed/conv/Conv2D | |
| 124069.888 98.30421921.792 0.077% 96.730% BiasAdd mixed_9/tower_1/mixed/conv/batchnorm | |
| 124168.192 98.30421921.792 0.077% 96.806% Relu mixed_9/tower_1/mixed/conv | |
| 124266.496 524.288116916.224 0.408% 97.215% Concat mixed_9/join | |
| 124790.784 524.288116916.224 0.408% 97.623% MaxPool mixed_10/tower_2/pool | |
| 125315.072 98.30421921.792 0.077% 97.700% Conv2D mixed_10/tower/conv/Conv2D | |
| 125413.376 81.92018268.160 0.064% 97.763% Conv2D mixed_10/conv/Conv2D | |
| 125495.296 98.30421921.792 0.077% 97.840% BiasAdd mixed_10/tower/conv/batchnorm | |
| 125593.600 81.92018268.160 0.064% 97.904% BiasAdd mixed_10/conv/batchnorm | |
| 125675.520 98.30421921.792 0.077% 97.980% Relu mixed_10/tower/conv | |
| 125773.824 81.92018268.160 0.064% 98.044% Relu mixed_10/conv | |
| 125855.744 114.68825575.424 0.089% 98.133% Conv2D mixed_10/tower_1/conv/Conv2D | |
| 125970.432 49.15210960.896 0.038% 98.172% Conv2D mixed_10/tower_2/conv/Conv2D | |
| 126019.584 49.15210960.896 0.038% 98.210% BiasAdd mixed_10/tower_2/conv/batchnorm | |
| 126068.736 49.15210960.896 0.038% 98.248% Relu mixed_10/tower_2/conv | |
| 126117.888 114.68825575.424 0.089% 98.338% BiasAdd mixed_10/tower_1/conv/batchnorm | |
| 126232.576 114.68825575.424 0.089% 98.427% Relu mixed_10/tower_1/conv | |
| 126347.264 98.30421921.792 0.077% 98.504% Conv2D mixed_10/tower/mixed/conv_1/Conv2D | |
| 126445.568 98.30421921.792 0.077% 98.580% BiasAdd mixed_10/tower/mixed/conv_1/batchnorm | |
| 126543.872 98.30421921.792 0.077% 98.657% Relu mixed_10/tower/mixed/conv_1 | |
| 126642.176 98.30421921.792 0.077% 98.733% Conv2D mixed_10/tower/mixed/conv/Conv2D | |
| 126740.480 98.30421921.792 0.077% 98.810% BiasAdd mixed_10/tower/mixed/conv/batchnorm | |
| 126838.784 98.30421921.792 0.077% 98.887% Relu mixed_10/tower/mixed/conv | |
| 126937.088 98.30421921.792 0.077% 98.963% Conv2D mixed_10/tower_1/conv_1/Conv2D | |
| 127035.392 98.30421921.792 0.077% 99.040% BiasAdd mixed_10/tower_1/conv_1/batchnorm | |
| 127133.696 98.30421921.792 0.077% 99.116% Relu mixed_10/tower_1/conv_1 | |
| 127232.000 98.30421921.792 0.077% 99.193% Conv2D mixed_10/tower_1/mixed/conv_1/Conv2D | |
| 127330.304 98.30421921.792 0.077% 99.269% BiasAdd mixed_10/tower_1/mixed/conv_1/batchnorm | |
| 127428.608 98.30421921.792 0.077% 99.346% Relu mixed_10/tower_1/mixed/conv_1 | |
| 127526.912 98.30421921.792 0.077% 99.423% Conv2D mixed_10/tower_1/mixed/conv/Conv2D | |
| 127625.216 98.30421921.792 0.077% 99.499% BiasAdd mixed_10/tower_1/mixed/conv/batchnorm | |
| 127723.520 98.30421921.792 0.077% 99.576% Relu mixed_10/tower_1/mixed/conv | |
| 127821.824 524.288116916.224 0.408% 99.984% Concat mixed_10/join | |
| 128346.112 8.192 1826.816 0.006% 99.991% AvgPool pool_3 | |
| 128354.304 4.032 899.136 0.003% 99.994% MatMul softmax/logits/MatMul | |
| 128354.304 0.000 0.000 0.000% 99.994% Reshape pool_3/_reshape | |
| 128358.336 4.032 899.136 0.003% 99.997% BiasAdd softmax/logits | |
| 128362.368 4.032 899.136 0.003% 100.000% Softmax softmax | |
| 1 runs, avg 3.682e+04 ms, 514 nodes defined 514 nodes observed | |
| 28625707.2 avg KB per run. | |
| ============ Top by memory usage in KB ================= | |
| [start] [first] [avg] [%] [cdf%] [Op] [Name] | |
| 16823.040 5531.9041233614.592 4.309% 4.309% Conv2D conv_2/Conv2D | |
| 22354.944 5531.9041233614.592 4.309% 8.619% BiasAdd conv_2/batchnorm | |
| 27886.848 5531.9041233614.592 4.309% 12.928% Relu conv_2 | |
| 43770.304 3871.488863341.824 3.016% 15.944% BiasAdd conv_4/batchnorm | |
| 39898.816 3871.488863341.824 3.016% 18.960% Conv2D conv_4/Conv2D | |
| 47641.792 3871.488863341.824 3.016% 21.976% Relu conv_4 | |
| 5683.456 2841.728633705.344 2.214% 24.190% Relu conv | |
| 0.000 2841.728633705.344 2.214% 26.404% Conv2D conv/Conv2D | |
| 2841.728 2841.728633705.344 2.214% 28.618% BiasAdd conv/batchnorm | |
| 14057.088 2765.952616807.296 2.155% 30.772% Relu conv_1 | |
| 8525.184 2765.952616807.296 2.155% 32.927% Conv2D conv_1/Conv2D | |
| 11291.136 2765.952616807.296 2.155% 35.082% BiasAdd conv_1/batchnorm | |
| 36488.256 1705.280380277.440 1.328% 36.410% BiasAdd conv_3/batchnorm | |
| 34782.976 1705.280380277.440 1.328% 37.739% Conv2D conv_3/Conv2D | |
| 38193.536 1705.280380277.440 1.328% 39.067% Relu conv_3 | |
| 74014.080 1411.200314697.600 1.099% 40.166% AvgPool mixed_2/tower_2/pool | |
| 80129.280 1411.200314697.600 1.099% 41.266% Concat mixed_2/join | |
| 70015.680 1411.200314697.600 1.099% 42.365% Concat mixed_1/join | |
| 33418.752 1364.224304221.952 1.063% 43.428% MaxPool pool | |
| 64057.280 1254.400279731.200 0.977% 44.405% AvgPool mixed_1/tower_2/pool | |
| 60215.680 1254.400279731.200 0.977% 45.382% Concat mixed/join | |
| 51513.280 940.800209798.400 0.733% 46.115% MaxPool pool_1 | |
| 55041.280 940.800209798.400 0.733% 46.848% AvgPool mixed/tower_2/pool | |
| 109416.960 887.808197981.184 0.692% 47.540% AvgPool mixed_7/tower_2/pool | |
| 116963.328 887.808197981.184 0.692% 48.231% Concat mixed_7/join | |
| 101648.640 887.808197981.184 0.692% 48.923% AvgPool mixed_6/tower_2/pool | |
| 108529.152 887.808197981.184 0.692% 49.615% Concat mixed_6/join | |
| 93880.320 887.808197981.184 0.692% 50.306% AvgPool mixed_5/tower_2/pool | |
| 86777.856 887.808197981.184 0.692% 50.998% AvgPool mixed_4/tower_2/pool | |
| 100760.832 887.808197981.184 0.692% 51.689% Concat mixed_5/join | |
| 92992.512 887.808197981.184 0.692% 52.381% Concat mixed_4/join | |
| 85890.048 887.808197981.184 0.692% 53.073% Concat mixed_3/join | |
| 124266.496 524.288116916.224 0.408% 53.481% Concat mixed_9/join | |
| 124790.784 524.288116916.224 0.408% 53.890% MaxPool mixed_10/tower_2/pool | |
| 127821.824 524.288116916.224 0.408% 54.298% Concat mixed_10/join | |
| 84616.320 470.400104899.200 0.366% 54.664% BiasAdd mixed_3/tower/conv_1/batchnorm | |
| 84145.920 470.400104899.200 0.366% 55.031% Conv2D mixed_3/tower/conv_1/Conv2D | |
| 85086.720 470.400104899.200 0.366% 55.397% Relu mixed_3/tower/conv_1 | |
| 77777.280 470.400104899.200 0.366% 55.764% BiasAdd mixed_2/tower_1/conv_1/batchnorm | |
| 79188.480 470.400104899.200 0.366% 56.130% BiasAdd mixed_2/tower_1/conv_2/batchnorm | |
| 78718.080 470.400104899.200 0.366% 56.497% Conv2D mixed_2/tower_1/conv_2/Conv2D | |
| 78247.680 470.400104899.200 0.366% 56.863% Relu mixed_2/tower_1/conv_1 | |
| 79658.880 470.400104899.200 0.366% 57.230% Relu mixed_2/tower_1/conv_2 | |
| 77306.880 470.400104899.200 0.366% 57.596% Conv2D mixed_2/tower_1/conv_1/Conv2D | |
| 67663.680 470.400104899.200 0.366% 57.963% BiasAdd mixed_1/tower_1/conv_1/batchnorm | |
| 69074.880 470.400104899.200 0.366% 58.329% BiasAdd mixed_1/tower_1/conv_2/batchnorm | |
| 68604.480 470.400104899.200 0.366% 58.695% Conv2D mixed_1/tower_1/conv_2/Conv2D | |
| 69545.280 470.400104899.200 0.366% 59.062% Relu mixed_1/tower_1/conv_2 | |
| 67193.280 470.400104899.200 0.366% 59.428% Conv2D mixed_1/tower_1/conv_1/Conv2D | |
| 68134.080 470.400104899.200 0.366% 59.795% Relu mixed_1/tower_1/conv_1 | |
| 59274.880 470.400104899.200 0.366% 60.161% BiasAdd mixed/tower_1/conv_2/batchnorm | |
| 58804.480 470.400104899.200 0.366% 60.528% Conv2D mixed/tower_1/conv_2/Conv2D | |
| 56138.880 470.400104899.200 0.366% 60.894% Conv2D mixed/tower_1/conv_1/Conv2D | |
| 56922.880 470.400104899.200 0.366% 61.261% BiasAdd mixed/tower_1/conv_1/batchnorm | |
| 57393.280 470.400104899.200 0.366% 61.627% Relu mixed/tower_1/conv_1 | |
| 59745.280 470.400104899.200 0.366% 61.993% Relu mixed/tower_1/conv_2 | |
| 82814.208 443.90498990.592 0.346% 62.339% Conv2D mixed_3/conv/Conv2D | |
| 83702.016 443.90498990.592 0.346% 62.685% Relu mixed_3/conv | |
| 83258.112 443.90498990.592 0.346% 63.031% BiasAdd mixed_3/conv/batchnorm | |
| 81540.480 332.92874242.944 0.259% 63.290% MaxPool mixed_3/pool | |
| 121432.064 327.68073072.640 0.255% 63.546% AvgPool mixed_9/tower_2/pool | |
| 121104.384 327.68073072.640 0.255% 63.801% Concat mixed_8/join | |
| 81873.408 313.60069932.800 0.244% 64.045% Conv2D mixed_3/tower/conv/Conv2D | |
| 82187.008 313.60069932.800 0.244% 64.289% BiasAdd mixed_3/tower/conv/batchnorm | |
| 82500.608 313.60069932.800 0.244% 64.534% Relu mixed_3/tower/conv | |
| 76052.480 313.60069932.800 0.244% 64.778% Relu mixed_2/tower_2/conv | |
| 75425.280 313.60069932.800 0.244% 65.022% Conv2D mixed_2/tower_2/conv/Conv2D | |
| 75738.880 313.60069932.800 0.244% 65.267% BiasAdd mixed_2/tower_2/conv/batchnorm | |
| 73073.280 313.60069932.800 0.244% 65.511% Relu mixed_2/tower_1/conv | |
| 71662.080 313.60069932.800 0.244% 65.755% Conv2D mixed_2/tower_1/conv/Conv2D | |
| 72210.880 313.60069932.800 0.244% 66.000% BiasAdd mixed_2/tower_1/conv/batchnorm | |
| 76679.680 313.60069932.800 0.244% 66.244% BiasAdd mixed_2/tower/conv_1/batchnorm | |
| 76366.080 313.60069932.800 0.244% 66.488% Conv2D mixed_2/tower/conv_1/Conv2D | |
| 72759.680 313.60069932.800 0.244% 66.732% Conv2D mixed_2/conv/Conv2D | |
| 73700.480 313.60069932.800 0.244% 66.977% Relu mixed_2/conv | |
| 73386.880 313.60069932.800 0.244% 67.221% BiasAdd mixed_2/conv/batchnorm | |
| 76993.280 313.60069932.800 0.244% 67.465% Relu mixed_2/tower/conv_1 | |
| 65938.880 313.60069932.800 0.244% 67.710% Relu mixed_1/tower_2/conv | |
| 65311.680 313.60069932.800 0.244% 67.954% Conv2D mixed_1/tower_2/conv/Conv2D | |
| 63743.680 313.60069932.800 0.244% 68.198% Relu mixed_1/tower_1/conv | |
| 65625.280 313.60069932.800 0.244% 68.443% BiasAdd mixed_1/tower_2/conv/batchnorm | |
| 61940.480 313.60069932.800 0.244% 68.687% Conv2D mixed_1/tower_1/conv/Conv2D | |
| 66566.080 313.60069932.800 0.244% 68.931% BiasAdd mixed_1/tower/conv_1/batchnorm | |
| 62802.880 313.60069932.800 0.244% 69.175% BiasAdd mixed_1/tower_1/conv/batchnorm | |
| 66879.680 313.60069932.800 0.244% 69.420% Relu mixed_1/tower/conv_1 | |
| 66252.480 313.60069932.800 0.244% 69.664% Conv2D mixed_1/tower/conv_1/Conv2D | |
| 63430.080 313.60069932.800 0.244% 69.908% Relu mixed_1/conv | |
| 63116.480 313.60069932.800 0.244% 70.153% BiasAdd mixed_1/conv/batchnorm | |
| 53943.680 313.60069932.800 0.244% 70.397% Relu mixed/tower_1/conv | |
| 52454.080 313.60069932.800 0.244% 70.641% Conv2D mixed/tower_1/conv/Conv2D | |
| 53316.480 313.60069932.800 0.244% 70.886% BiasAdd mixed/tower_1/conv/batchnorm | |
| 57863.680 313.60069932.800 0.244% 71.130% Conv2D mixed/tower/conv_1/Conv2D | |
| 58177.280 313.60069932.800 0.244% 71.374% BiasAdd mixed/tower/conv_1/batchnorm | |
| 62254.080 313.60069932.800 0.244% 71.618% Conv2D mixed_1/conv/Conv2D | |
| 58490.880 313.60069932.800 0.244% 71.863% Relu mixed/tower/conv_1 | |
| 53630.080 313.60069932.800 0.244% 72.107% BiasAdd mixed/conv/batchnorm | |
| 52767.680 313.60069932.800 0.244% 72.351% Conv2D mixed/conv/Conv2D | |
| 54257.280 313.60069932.800 0.244% 72.596% Relu mixed/conv | |
| 71426.880 235.20052449.600 0.183% 72.779% Conv2D mixed_2/tower/conv/Conv2D | |
| 72524.480 235.20052449.600 0.183% 72.962% Relu mixed_2/tower/conv | |
| 71975.680 235.20052449.600 0.183% 73.145% BiasAdd mixed_2/tower/conv/batchnorm | |
| 61470.080 235.20052449.600 0.183% 73.329% Conv2D mixed_1/tower/conv/Conv2D | |
| 61705.280 235.20052449.600 0.183% 73.512% BiasAdd mixed_1/tower/conv/batchnorm | |
| 62567.680 235.20052449.600 0.183% 73.695% Relu mixed_1/tower/conv | |
| 53081.280 235.20052449.600 0.183% 73.878% Conv2D mixed/tower/conv/Conv2D | |
| 54570.880 235.20052449.600 0.183% 74.061% BiasAdd mixed/tower/conv/batchnorm | |
| 54806.080 235.20052449.600 0.183% 74.245% Relu mixed/tower/conv | |
| 115409.664 221.95249495.296 0.173% 74.418% Relu mixed_7/tower/conv_2 | |
| 119601.408 221.95249495.296 0.173% 74.590% BiasAdd mixed_8/tower_1/conv_1/batchnorm | |
| 120513.024 221.95249495.296 0.173% 74.763% BiasAdd mixed_8/tower_1/conv_2/batchnorm | |
| 120291.072 221.95249495.296 0.173% 74.936% Conv2D mixed_8/tower_1/conv_2/Conv2D | |
| 120734.976 221.95249495.296 0.173% 75.109% Relu mixed_8/tower_1/conv_2 | |
| 118713.600 221.95249495.296 0.173% 75.282% Relu mixed_8/tower_1/conv | |
| 118047.744 221.95249495.296 0.173% 75.455% Conv2D mixed_8/tower_1/conv/Conv2D | |
| 119379.456 221.95249495.296 0.173% 75.628% Conv2D mixed_8/tower_1/conv_1/Conv2D | |
| 112524.288 221.95249495.296 0.173% 75.801% BiasAdd mixed_7/tower_2/conv/batchnorm | |
| 118269.696 221.95249495.296 0.173% 75.974% BiasAdd mixed_8/tower_1/conv/batchnorm | |
| 119823.360 221.95249495.296 0.173% 76.147% Relu mixed_8/tower_1/conv_1 | |
| 118935.552 221.95249495.296 0.173% 76.320% BiasAdd mixed_8/tower/conv/batchnorm | |
| 118491.648 221.95249495.296 0.173% 76.492% Conv2D mixed_8/tower/conv/Conv2D | |
| 119157.504 221.95249495.296 0.173% 76.665% Relu mixed_8/tower/conv | |
| 114965.760 221.95249495.296 0.173% 76.838% Conv2D mixed_7/tower/conv_2/Conv2D | |
| 111414.528 221.95249495.296 0.173% 77.011% Conv2D mixed_7/tower_2/conv/Conv2D | |
| 112746.240 221.95249495.296 0.173% 77.184% Relu mixed_7/tower_2/conv | |
| 116297.472 221.95249495.296 0.173% 77.357% Conv2D mixed_7/tower_1/conv_4/Conv2D | |
| 116519.424 221.95249495.296 0.173% 77.530% BiasAdd mixed_7/tower_1/conv_4/batchnorm | |
| 115853.568 221.95249495.296 0.173% 77.703% BiasAdd mixed_7/tower_1/conv_3/batchnorm | |
| 115631.616 221.95249495.296 0.173% 77.876% Conv2D mixed_7/tower_1/conv_3/Conv2D | |
| 116075.520 221.95249495.296 0.173% 78.049% Relu mixed_7/tower_1/conv_3 | |
| 116741.376 221.95249495.296 0.173% 78.221% Relu mixed_7/tower_1/conv_4 | |
| 114299.904 221.95249495.296 0.173% 78.394% Conv2D mixed_7/tower_1/conv_2/Conv2D | |
| 114743.808 221.95249495.296 0.173% 78.567% Relu mixed_7/tower_1/conv_2 | |
| 112968.192 221.95249495.296 0.173% 78.740% Conv2D mixed_7/tower_1/conv_1/Conv2D | |
| 113190.144 221.95249495.296 0.173% 78.913% BiasAdd mixed_7/tower_1/conv_1/batchnorm | |
| 114521.856 221.95249495.296 0.173% 79.086% BiasAdd mixed_7/tower_1/conv_2/batchnorm | |
| 110526.720 221.95249495.296 0.173% 79.259% BiasAdd mixed_7/tower_1/conv/batchnorm | |
| 113412.096 221.95249495.296 0.173% 79.432% Relu mixed_7/tower_1/conv_1 | |
| 110970.624 221.95249495.296 0.173% 79.605% Relu mixed_7/tower_1/conv | |
| 110304.768 221.95249495.296 0.173% 79.778% Conv2D mixed_7/tower_1/conv/Conv2D | |
| 115187.712 221.95249495.296 0.173% 79.951% BiasAdd mixed_7/tower/conv_2/batchnorm | |
| 113856.000 221.95249495.296 0.173% 80.123% BiasAdd mixed_7/tower/conv_1/batchnorm | |
| 113634.048 221.95249495.296 0.173% 80.296% Conv2D mixed_7/tower/conv_1/Conv2D | |
| 112080.384 221.95249495.296 0.173% 80.469% BiasAdd mixed_7/tower/conv/batchnorm | |
| 111636.480 221.95249495.296 0.173% 80.642% BiasAdd mixed_7/conv/batchnorm | |
| 111192.576 221.95249495.296 0.173% 80.815% Conv2D mixed_7/tower/conv/Conv2D | |
| 112302.336 221.95249495.296 0.173% 80.988% Relu mixed_7/tower/conv | |
| 111858.432 221.95249495.296 0.173% 81.161% Relu mixed_7/conv | |
| 104312.064 221.95249495.296 0.173% 81.334% Conv2D mixed_6/tower_2/conv/Conv2D | |
| 110748.672 221.95249495.296 0.173% 81.507% Conv2D mixed_7/conv/Conv2D | |
| 104534.016 221.95249495.296 0.173% 81.680% BiasAdd mixed_6/tower_2/conv/batchnorm | |
| 108085.248 221.95249495.296 0.173% 81.852% BiasAdd mixed_6/tower_1/conv_4/batchnorm | |
| 104755.968 221.95249495.296 0.173% 82.025% Relu mixed_6/tower_2/conv | |
| 108307.200 221.95249495.296 0.173% 82.198% Relu mixed_6/tower_1/conv_4 | |
| 107863.296 221.95249495.296 0.173% 82.371% Conv2D mixed_6/tower_1/conv_4/Conv2D | |
| 114077.952 221.95249495.296 0.173% 82.544% Relu mixed_7/tower/conv_1 | |
| 106309.632 221.95249495.296 0.173% 82.717% BiasAdd mixed_6/tower/conv_2/batchnorm | |
| 106531.584 221.95249495.296 0.173% 82.890% Relu mixed_6/tower/conv_2 | |
| 106087.680 221.95249495.296 0.173% 83.063% Conv2D mixed_6/tower/conv_2/Conv2D | |
| 104090.112 221.95249495.296 0.173% 83.236% Relu mixed_6/conv | |
| 103498.240 221.95249495.296 0.173% 83.409% BiasAdd mixed_6/conv/batchnorm | |
| 96765.696 221.95249495.296 0.173% 83.582% BiasAdd mixed_5/tower_2/conv/batchnorm | |
| 96987.648 221.95249495.296 0.173% 83.754% Relu mixed_5/tower_2/conv | |
| 96543.744 221.95249495.296 0.173% 83.927% Conv2D mixed_5/tower_2/conv/Conv2D | |
| 100316.928 221.95249495.296 0.173% 84.100% BiasAdd mixed_5/tower_1/conv_4/batchnorm | |
| 100538.880 221.95249495.296 0.173% 84.273% Relu mixed_5/tower_1/conv_4 | |
| 100094.976 221.95249495.296 0.173% 84.446% Conv2D mixed_5/tower_1/conv_4/Conv2D | |
| 89441.280 221.95249495.296 0.173% 84.619% BiasAdd mixed_4/tower_2/conv/batchnorm | |
| 102721.408 221.95249495.296 0.173% 84.792% Conv2D mixed_6/conv/Conv2D | |
| 99096.192 221.95249495.296 0.173% 84.965% BiasAdd mixed_5/tower/conv_2/batchnorm | |
| 98874.240 221.95249495.296 0.173% 85.138% Conv2D mixed_5/tower/conv_2/Conv2D | |
| 99318.144 221.95249495.296 0.173% 85.311% Relu mixed_5/tower/conv_2 | |
| 96321.792 221.95249495.296 0.173% 85.484% Relu mixed_5/conv | |
| 95914.880 221.95249495.296 0.173% 85.656% BiasAdd mixed_5/conv/batchnorm | |
| 88479.488 221.95249495.296 0.173% 85.829% Conv2D mixed_4/tower_2/conv/Conv2D | |
| 95138.048 221.95249495.296 0.173% 86.002% Conv2D mixed_5/conv/Conv2D | |
| 89811.200 221.95249495.296 0.173% 86.175% Relu mixed_4/tower_2/conv | |
| 92770.560 221.95249495.296 0.173% 86.348% Relu mixed_4/tower_1/conv_4 | |
| 91216.896 221.95249495.296 0.173% 86.521% Conv2D mixed_4/tower/conv_2/Conv2D | |
| 91438.848 221.95249495.296 0.173% 86.694% BiasAdd mixed_4/tower/conv_2/batchnorm | |
| 91660.800 221.95249495.296 0.173% 86.867% Relu mixed_4/tower/conv_2 | |
| 92326.656 221.95249495.296 0.173% 87.040% Conv2D mixed_4/tower_1/conv_4/Conv2D | |
| 88849.408 221.95249495.296 0.173% 87.213% BiasAdd mixed_4/conv/batchnorm | |
| 89219.328 221.95249495.296 0.173% 87.385% Relu mixed_4/conv | |
| 88109.568 221.95249495.296 0.173% 87.558% Conv2D mixed_4/conv/Conv2D | |
| 92548.608 221.95249495.296 0.173% 87.731% BiasAdd mixed_4/tower_1/conv_4/batchnorm | |
| 117851.136 196.60843843.584 0.153% 87.884% MaxPool mixed_8/pool | |
| 107493.376 184.96041246.080 0.144% 88.029% BiasAdd mixed_6/tower_1/conv_3/batchnorm | |
| 107308.416 184.96041246.080 0.144% 88.173% Conv2D mixed_6/tower_1/conv_3/Conv2D | |
| 107678.336 184.96041246.080 0.144% 88.317% Relu mixed_6/tower_1/conv_3 | |
| 103720.192 184.96041246.080 0.144% 88.461% Relu mixed_6/tower/conv | |
| 106938.496 184.96041246.080 0.144% 88.605% BiasAdd mixed_6/tower_1/conv_2/batchnorm | |
| 107123.456 184.96041246.080 0.144% 88.749% Relu mixed_6/tower_1/conv_2 | |
| 106753.536 184.96041246.080 0.144% 88.893% Conv2D mixed_6/tower_1/conv_2/Conv2D | |
| 105717.760 184.96041246.080 0.144% 89.037% BiasAdd mixed_6/tower_1/conv_1/batchnorm | |
| 103313.280 184.96041246.080 0.144% 89.181% BiasAdd mixed_6/tower_1/conv/batchnorm | |
| 105532.800 184.96041246.080 0.144% 89.325% Conv2D mixed_6/tower_1/conv_1/Conv2D | |
| 105902.720 184.96041246.080 0.144% 89.469% Relu mixed_6/tower_1/conv_1 | |
| 102943.360 184.96041246.080 0.144% 89.613% Conv2D mixed_6/tower_1/conv/Conv2D | |
| 103905.152 184.96041246.080 0.144% 89.758% Relu mixed_6/tower_1/conv | |
| 102536.448 184.96041246.080 0.144% 89.902% Conv2D mixed_6/tower/conv/Conv2D | |
| 105162.880 184.96041246.080 0.144% 90.046% BiasAdd mixed_6/tower/conv_1/batchnorm | |
| 104977.920 184.96041246.080 0.144% 90.190% Conv2D mixed_6/tower/conv_1/Conv2D | |
| 103128.320 184.96041246.080 0.144% 90.334% BiasAdd mixed_6/tower/conv/batchnorm | |
| 105347.840 184.96041246.080 0.144% 90.478% Relu mixed_6/tower/conv_1 | |
| 99540.096 184.96041246.080 0.144% 90.622% Conv2D mixed_5/tower_1/conv_3/Conv2D | |
| 98504.320 184.96041246.080 0.144% 90.766% BiasAdd mixed_5/tower_1/conv_2/batchnorm | |
| 99910.016 184.96041246.080 0.144% 90.910% Relu mixed_5/tower_1/conv_3 | |
| 97394.560 184.96041246.080 0.144% 91.054% BiasAdd mixed_5/tower_1/conv_1/batchnorm | |
| 98689.280 184.96041246.080 0.144% 91.198% Relu mixed_5/tower_1/conv_2 | |
| 99725.056 184.96041246.080 0.144% 91.343% BiasAdd mixed_5/tower_1/conv_3/batchnorm | |
| 97209.600 184.96041246.080 0.144% 91.487% Conv2D mixed_5/tower_1/conv_1/Conv2D | |
| 98319.360 184.96041246.080 0.144% 91.631% Conv2D mixed_5/tower_1/conv_2/Conv2D | |
| 95729.920 184.96041246.080 0.144% 91.775% Relu mixed_5/tower_1/conv | |
| 97579.520 184.96041246.080 0.144% 91.919% Relu mixed_5/tower_1/conv_1 | |
| 95360.000 184.96041246.080 0.144% 92.063% BiasAdd mixed_5/tower_1/conv/batchnorm | |
| 97949.440 184.96041246.080 0.144% 92.207% BiasAdd mixed_5/tower/conv_1/batchnorm | |
| 97764.480 184.96041246.080 0.144% 92.351% Conv2D mixed_5/tower/conv_1/Conv2D | |
| 96136.832 184.96041246.080 0.144% 92.495% Relu mixed_5/tower/conv | |
| 98134.400 184.96041246.080 0.144% 92.639% Relu mixed_5/tower/conv_1 | |
| 95544.960 184.96041246.080 0.144% 92.783% BiasAdd mixed_5/tower/conv/batchnorm | |
| 94768.128 184.96041246.080 0.144% 92.927% Conv2D mixed_5/tower_1/conv/Conv2D | |
| 94953.088 184.96041246.080 0.144% 93.072% Conv2D mixed_5/tower/conv/Conv2D | |
| 56766.080 156.80034966.400 0.122% 93.194% Relu mixed/tower_2/conv | |
| 56609.280 156.80034966.400 0.122% 93.316% BiasAdd mixed/tower_2/conv/batchnorm | |
| 55982.080 156.80034966.400 0.122% 93.438% Conv2D mixed/tower_2/conv/Conv2D | |
| 92030.720 147.96832996.864 0.115% 93.553% BiasAdd mixed_4/tower_1/conv_3/batchnorm | |
| 90920.960 147.96832996.864 0.115% 93.669% BiasAdd mixed_4/tower_1/conv_2/batchnorm | |
| 91882.752 147.96832996.864 0.115% 93.784% Conv2D mixed_4/tower_1/conv_3/Conv2D | |
| 92178.688 147.96832996.864 0.115% 93.899% Relu mixed_4/tower_1/conv_3 | |
| 90772.992 147.96832996.864 0.115% 94.014% Conv2D mixed_4/tower_1/conv_2/Conv2D | |
| 91068.928 147.96832996.864 0.115% 94.130% Relu mixed_4/tower_1/conv_2 | |
| 90033.152 147.96832996.864 0.115% 94.245% BiasAdd mixed_4/tower_1/conv_1/batchnorm | |
| 90181.120 147.96832996.864 0.115% 94.360% Relu mixed_4/tower_1/conv_1 | |
| 89663.232 147.96832996.864 0.115% 94.475% Conv2D mixed_4/tower_1/conv_1/Conv2D | |
| 87813.632 147.96832996.864 0.115% 94.591% BiasAdd mixed_4/tower_1/conv/batchnorm | |
| 87665.664 147.96832996.864 0.115% 94.706% Conv2D mixed_4/tower_1/conv/Conv2D | |
| 90477.056 147.96832996.864 0.115% 94.821% BiasAdd mixed_4/tower/conv_1/batchnorm | |
| 87961.600 147.96832996.864 0.115% 94.937% Relu mixed_4/tower_1/conv | |
| 88331.520 147.96832996.864 0.115% 95.052% Conv2D mixed_4/tower/conv/Conv2D | |
| 88701.440 147.96832996.864 0.115% 95.167% BiasAdd mixed_4/tower/conv/batchnorm | |
| 89071.360 147.96832996.864 0.115% 95.282% Relu mixed_4/tower/conv | |
| 90329.088 147.96832996.864 0.115% 95.398% Conv2D mixed_4/tower/conv_1/Conv2D | |
| 90625.024 147.96832996.864 0.115% 95.513% Relu mixed_4/tower/conv_1 | |
| 121874.432 114.68825575.424 0.089% 95.602% BiasAdd mixed_9/tower_1/conv/batchnorm | |
| 121759.744 114.68825575.424 0.089% 95.692% Conv2D mixed_9/tower_1/conv/Conv2D | |
| 121989.120 114.68825575.424 0.089% 95.781% Relu mixed_9/tower_1/conv | |
| 126232.576 114.68825575.424 0.089% 95.870% Relu mixed_10/tower_1/conv | |
| 125855.744 114.68825575.424 0.089% 95.960% Conv2D mixed_10/tower_1/conv/Conv2D | |
| 126117.888 114.68825575.424 0.089% 96.049% BiasAdd mixed_10/tower_1/conv/batchnorm | |
| 85557.120 110.97624747.648 0.086% 96.135% Conv2D mixed_3/tower/conv_2/Conv2D | |
| 85779.072 110.97624747.648 0.086% 96.222% Relu mixed_3/tower/conv_2 | |
| 85668.096 110.97624747.648 0.086% 96.308% BiasAdd mixed_3/tower/conv_2/batchnorm | |
| 122988.544 98.30421921.792 0.077% 96.385% Relu mixed_9/tower_1/conv_1 | |
| 123774.976 98.30421921.792 0.077% 96.461% BiasAdd mixed_9/tower_1/mixed/conv_1/batchnorm | |
| 122791.936 98.30421921.792 0.077% 96.538% Conv2D mixed_9/tower_1/conv_1/Conv2D | |
| 123676.672 98.30421921.792 0.077% 96.615% Conv2D mixed_9/tower_1/mixed/conv_1/Conv2D | |
| 124069.888 98.30421921.792 0.077% 96.691% BiasAdd mixed_9/tower_1/mixed/conv/batchnorm | |
| 123873.280 98.30421921.792 0.077% 96.768% Relu mixed_9/tower_1/mixed/conv_1 | |
| 123971.584 98.30421921.792 0.077% 96.844% Conv2D mixed_9/tower_1/mixed/conv/Conv2D | |
| 122890.240 98.30421921.792 0.077% 96.921% BiasAdd mixed_9/tower_1/conv_1/batchnorm | |
| 124168.192 98.30421921.792 0.077% 96.998% Relu mixed_9/tower_1/mixed/conv | |
| 123185.152 98.30421921.792 0.077% 97.074% BiasAdd mixed_9/tower/mixed/conv_1/batchnorm | |
| 123578.368 98.30421921.792 0.077% 97.151% Relu mixed_9/tower/mixed/conv | |
| 123283.456 98.30421921.792 0.077% 97.227% Relu mixed_9/tower/mixed/conv_1 | |
| 123480.064 98.30421921.792 0.077% 97.304% BiasAdd mixed_9/tower/mixed/conv/batchnorm | |
| 123381.760 98.30421921.792 0.077% 97.380% Conv2D mixed_9/tower/mixed/conv/Conv2D | |
| 123086.848 98.30421921.792 0.077% 97.457% Conv2D mixed_9/tower/mixed/conv_1/Conv2D | |
| 122103.808 98.30421921.792 0.077% 97.534% Conv2D mixed_9/tower/conv/Conv2D | |
| 122202.112 98.30421921.792 0.077% 97.610% BiasAdd mixed_9/tower/conv/batchnorm | |
| 122300.416 98.30421921.792 0.077% 97.687% Relu mixed_9/tower/conv | |
| 127723.520 98.30421921.792 0.077% 97.763% Relu mixed_10/tower_1/mixed/conv | |
| 127526.912 98.30421921.792 0.077% 97.840% Conv2D mixed_10/tower_1/mixed/conv/Conv2D | |
| 127330.304 98.30421921.792 0.077% 97.917% BiasAdd mixed_10/tower_1/mixed/conv_1/batchnorm | |
| 127625.216 98.30421921.792 0.077% 97.993% BiasAdd mixed_10/tower_1/mixed/conv/batchnorm | |
| 127428.608 98.30421921.792 0.077% 98.070% Relu mixed_10/tower_1/mixed/conv_1 | |
| 127232.000 98.30421921.792 0.077% 98.146% Conv2D mixed_10/tower_1/mixed/conv_1/Conv2D | |
| 127035.392 98.30421921.792 0.077% 98.223% BiasAdd mixed_10/tower_1/conv_1/batchnorm | |
| 126543.872 98.30421921.792 0.077% 98.299% Relu mixed_10/tower/mixed/conv_1 | |
| 126347.264 98.30421921.792 0.077% 98.376% Conv2D mixed_10/tower/mixed/conv_1/Conv2D | |
| 127133.696 98.30421921.792 0.077% 98.453% Relu mixed_10/tower_1/conv_1 | |
| 126445.568 98.30421921.792 0.077% 98.529% BiasAdd mixed_10/tower/mixed/conv_1/batchnorm | |
| 125495.296 98.30421921.792 0.077% 98.606% BiasAdd mixed_10/tower/conv/batchnorm | |
| 126740.480 98.30421921.792 0.077% 98.682% BiasAdd mixed_10/tower/mixed/conv/batchnorm | |
| 126642.176 98.30421921.792 0.077% 98.759% Conv2D mixed_10/tower/mixed/conv/Conv2D | |
| 125675.520 98.30421921.792 0.077% 98.835% Relu mixed_10/tower/conv | |
| 126838.784 98.30421921.792 0.077% 98.912% Relu mixed_10/tower/mixed/conv | |
| 125315.072 98.30421921.792 0.077% 98.989% Conv2D mixed_10/tower/conv/Conv2D | |
| 126937.088 98.30421921.792 0.077% 99.065% Conv2D mixed_10/tower_1/conv_1/Conv2D | |
| 122398.720 81.92018268.160 0.064% 99.129% Conv2D mixed_9/conv/Conv2D | |
| 122480.640 81.92018268.160 0.064% 99.193% BiasAdd mixed_9/conv/batchnorm | |
| 122562.560 81.92018268.160 0.064% 99.257% Relu mixed_9/conv | |
| 120127.232 81.92018268.160 0.064% 99.320% BiasAdd mixed_8/tower/conv_1/batchnorm | |
| 120045.312 81.92018268.160 0.064% 99.384% Conv2D mixed_8/tower/conv_1/Conv2D | |
| 120209.152 81.92018268.160 0.064% 99.448% Relu mixed_8/tower/conv_1 | |
| 125413.376 81.92018268.160 0.064% 99.512% Conv2D mixed_10/conv/Conv2D | |
| 125593.600 81.92018268.160 0.064% 99.576% BiasAdd mixed_10/conv/batchnorm | |
| 125773.824 81.92018268.160 0.064% 99.640% Relu mixed_10/conv | |
| 122693.632 49.15210960.896 0.038% 99.678% BiasAdd mixed_9/tower_2/conv/batchnorm | |
| 122742.784 49.15210960.896 0.038% 99.716% Relu mixed_9/tower_2/conv | |
| 121055.232 49.15210960.896 0.038% 99.754% Relu mixed_8/tower_1/conv_3 | |
| 122644.480 49.15210960.896 0.038% 99.793% Conv2D mixed_9/tower_2/conv/Conv2D | |
| 120956.928 49.15210960.896 0.038% 99.831% Conv2D mixed_8/tower_1/conv_3/Conv2D | |
| 121006.080 49.15210960.896 0.038% 99.869% BiasAdd mixed_8/tower_1/conv_3/batchnorm | |
| 126068.736 49.15210960.896 0.038% 99.908% Relu mixed_10/tower_2/conv | |
| 125970.432 49.15210960.896 0.038% 99.946% Conv2D mixed_10/tower_2/conv/Conv2D | |
| 126019.584 49.15210960.896 0.038% 99.984% BiasAdd mixed_10/tower_2/conv/batchnorm | |
| 128346.112 8.192 1826.816 0.006% 99.991% AvgPool pool_3 | |
| 128362.368 4.032 899.136 0.003% 99.994% Softmax softmax | |
| 128354.304 4.032 899.136 0.003% 99.997% MatMul softmax/logits/MatMul | |
| 128358.336 4.032 899.136 0.003% 100.000% BiasAdd softmax/logits | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower_1/mixed/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower_1/mixed/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower_1/mixed/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower_1/mixed/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower/mixed/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower/mixed/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower/mixed/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower/mixed/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_8/tower_1/conv_3/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_8/tower_1/conv_3/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_8/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_9/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_8/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_8/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const pool_3/_reshape/shape | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_8/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_8/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_8/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_8/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_8/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_8/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_8/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_8/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower_1/conv_4/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower_1/conv_4/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const softmax/biases | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower_1/conv_3/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower_1/conv_3/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% _SOURCE | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower/conv/conv2d_params | |
| 128354.304 0.000 0.000 0.000% 100.000% Reshape pool_3/_reshape | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower_1/conv_3/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_7/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower_1/conv_4/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower_1/conv_3/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower_1/conv_4/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/tower/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower_1/conv_4/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower_1/conv_4/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower_1/conv_3/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower_1/conv_3/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_6/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_5/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower_1/conv_4/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower_1/conv_3/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower_1/conv_3/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower_1/conv_4/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_3/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_4/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_3/tower/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_3/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_3/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_3/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_3/tower/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_3/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_3/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_3/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower_1/mixed/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower_1/mixed/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower_1/mixed/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower_1/mixed/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const softmax/weights | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower/mixed/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower/mixed/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower/mixed/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower/mixed/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_10/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/tower_1/conv_2/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/tower_2/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/tower_2/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/tower_1/conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/tower_1/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/tower/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/tower_1/conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/tower_1/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/tower_1/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/tower/conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const conv_1/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/tower/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/join/concat_dim | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/conv/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const conv_4/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const conv_4/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const conv_3/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const conv_1/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const conv_3/conv2d_params | |
| 0.000 0.000 0.000 0.000% 100.000% Const mixed/tower/conv/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const conv_2/Conv2D_bn_offset | |
| 0.000 0.000 0.000 0.000% 100.000% Const conv_2/conv2d_params | |
| I tensorflow/core/util/stat_summarizer.cc:354] |
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