정희원

Upload new file

1 +node {
2 + name: "data"
3 + op: "Placeholder"
4 + attr {
5 + key: "dtype"
6 + value {
7 + type: DT_FLOAT
8 + }
9 + }
10 +}
11 +node {
12 + name: "data_bn/FusedBatchNorm"
13 + op: "FusedBatchNorm"
14 + input: "data:0"
15 + input: "data_bn/gamma"
16 + input: "data_bn/beta"
17 + input: "data_bn/mean"
18 + input: "data_bn/std"
19 + attr {
20 + key: "epsilon"
21 + value {
22 + f: 1.00099996416e-05
23 + }
24 + }
25 +}
26 +node {
27 + name: "data_scale/Mul"
28 + op: "Mul"
29 + input: "data_bn/FusedBatchNorm"
30 + input: "data_scale/mul"
31 +}
32 +node {
33 + name: "data_scale/BiasAdd"
34 + op: "BiasAdd"
35 + input: "data_scale/Mul"
36 + input: "data_scale/add"
37 +}
38 +node {
39 + name: "SpaceToBatchND/block_shape"
40 + op: "Const"
41 + attr {
42 + key: "value"
43 + value {
44 + tensor {
45 + dtype: DT_INT32
46 + tensor_shape {
47 + dim {
48 + size: 2
49 + }
50 + }
51 + int_val: 1
52 + int_val: 1
53 + }
54 + }
55 + }
56 +}
57 +node {
58 + name: "SpaceToBatchND/paddings"
59 + op: "Const"
60 + attr {
61 + key: "value"
62 + value {
63 + tensor {
64 + dtype: DT_INT32
65 + tensor_shape {
66 + dim {
67 + size: 2
68 + }
69 + dim {
70 + size: 2
71 + }
72 + }
73 + int_val: 3
74 + int_val: 3
75 + int_val: 3
76 + int_val: 3
77 + }
78 + }
79 + }
80 +}
81 +node {
82 + name: "Pad"
83 + op: "SpaceToBatchND"
84 + input: "data_scale/BiasAdd"
85 + input: "SpaceToBatchND/block_shape"
86 + input: "SpaceToBatchND/paddings"
87 +}
88 +node {
89 + name: "conv1_h/Conv2D"
90 + op: "Conv2D"
91 + input: "Pad"
92 + input: "conv1_h/weights"
93 + attr {
94 + key: "dilations"
95 + value {
96 + list {
97 + i: 1
98 + i: 1
99 + i: 1
100 + i: 1
101 + }
102 + }
103 + }
104 + attr {
105 + key: "padding"
106 + value {
107 + s: "VALID"
108 + }
109 + }
110 + attr {
111 + key: "strides"
112 + value {
113 + list {
114 + i: 1
115 + i: 2
116 + i: 2
117 + i: 1
118 + }
119 + }
120 + }
121 +}
122 +node {
123 + name: "conv1_h/BiasAdd"
124 + op: "BiasAdd"
125 + input: "conv1_h/Conv2D"
126 + input: "conv1_h/bias"
127 +}
128 +node {
129 + name: "BatchToSpaceND"
130 + op: "BatchToSpaceND"
131 + input: "conv1_h/BiasAdd"
132 +}
133 +node {
134 + name: "conv1_bn_h/FusedBatchNorm"
135 + op: "FusedBatchNorm"
136 + input: "BatchToSpaceND"
137 + input: "conv1_bn_h/gamma"
138 + input: "conv1_bn_h/beta"
139 + input: "conv1_bn_h/mean"
140 + input: "conv1_bn_h/std"
141 + attr {
142 + key: "epsilon"
143 + value {
144 + f: 1.00099996416e-05
145 + }
146 + }
147 +}
148 +node {
149 + name: "conv1_scale_h/Mul"
150 + op: "Mul"
151 + input: "conv1_bn_h/FusedBatchNorm"
152 + input: "conv1_scale_h/mul"
153 +}
154 +node {
155 + name: "conv1_scale_h/BiasAdd"
156 + op: "BiasAdd"
157 + input: "conv1_scale_h/Mul"
158 + input: "conv1_scale_h/add"
159 +}
160 +node {
161 + name: "Relu"
162 + op: "Relu"
163 + input: "conv1_scale_h/BiasAdd"
164 +}
165 +node {
166 + name: "conv1_pool/MaxPool"
167 + op: "MaxPool"
168 + input: "Relu"
169 + attr {
170 + key: "ksize"
171 + value {
172 + list {
173 + i: 1
174 + i: 3
175 + i: 3
176 + i: 1
177 + }
178 + }
179 + }
180 + attr {
181 + key: "padding"
182 + value {
183 + s: "SAME"
184 + }
185 + }
186 + attr {
187 + key: "strides"
188 + value {
189 + list {
190 + i: 1
191 + i: 2
192 + i: 2
193 + i: 1
194 + }
195 + }
196 + }
197 +}
198 +node {
199 + name: "layer_64_1_conv1_h/Conv2D"
200 + op: "Conv2D"
201 + input: "conv1_pool/MaxPool"
202 + input: "layer_64_1_conv1_h/weights"
203 + attr {
204 + key: "dilations"
205 + value {
206 + list {
207 + i: 1
208 + i: 1
209 + i: 1
210 + i: 1
211 + }
212 + }
213 + }
214 + attr {
215 + key: "padding"
216 + value {
217 + s: "SAME"
218 + }
219 + }
220 + attr {
221 + key: "strides"
222 + value {
223 + list {
224 + i: 1
225 + i: 1
226 + i: 1
227 + i: 1
228 + }
229 + }
230 + }
231 +}
232 +node {
233 + name: "layer_64_1_bn2_h/FusedBatchNorm"
234 + op: "BiasAdd"
235 + input: "layer_64_1_conv1_h/Conv2D"
236 + input: "layer_64_1_conv1_h/Conv2D_bn_offset"
237 +}
238 +node {
239 + name: "layer_64_1_scale2_h/Mul"
240 + op: "Mul"
241 + input: "layer_64_1_bn2_h/FusedBatchNorm"
242 + input: "layer_64_1_scale2_h/mul"
243 +}
244 +node {
245 + name: "layer_64_1_scale2_h/BiasAdd"
246 + op: "BiasAdd"
247 + input: "layer_64_1_scale2_h/Mul"
248 + input: "layer_64_1_scale2_h/add"
249 +}
250 +node {
251 + name: "Relu_1"
252 + op: "Relu"
253 + input: "layer_64_1_scale2_h/BiasAdd"
254 +}
255 +node {
256 + name: "layer_64_1_conv2_h/Conv2D"
257 + op: "Conv2D"
258 + input: "Relu_1"
259 + input: "layer_64_1_conv2_h/weights"
260 + attr {
261 + key: "dilations"
262 + value {
263 + list {
264 + i: 1
265 + i: 1
266 + i: 1
267 + i: 1
268 + }
269 + }
270 + }
271 + attr {
272 + key: "padding"
273 + value {
274 + s: "SAME"
275 + }
276 + }
277 + attr {
278 + key: "strides"
279 + value {
280 + list {
281 + i: 1
282 + i: 1
283 + i: 1
284 + i: 1
285 + }
286 + }
287 + }
288 +}
289 +node {
290 + name: "add"
291 + op: "Add"
292 + input: "layer_64_1_conv2_h/Conv2D"
293 + input: "conv1_pool/MaxPool"
294 +}
295 +node {
296 + name: "layer_128_1_bn1_h/FusedBatchNorm"
297 + op: "FusedBatchNorm"
298 + input: "add"
299 + input: "layer_128_1_bn1_h/gamma"
300 + input: "layer_128_1_bn1_h/beta"
301 + input: "layer_128_1_bn1_h/mean"
302 + input: "layer_128_1_bn1_h/std"
303 + attr {
304 + key: "epsilon"
305 + value {
306 + f: 1.00099996416e-05
307 + }
308 + }
309 +}
310 +node {
311 + name: "layer_128_1_scale1_h/Mul"
312 + op: "Mul"
313 + input: "layer_128_1_bn1_h/FusedBatchNorm"
314 + input: "layer_128_1_scale1_h/mul"
315 +}
316 +node {
317 + name: "layer_128_1_scale1_h/BiasAdd"
318 + op: "BiasAdd"
319 + input: "layer_128_1_scale1_h/Mul"
320 + input: "layer_128_1_scale1_h/add"
321 +}
322 +node {
323 + name: "Relu_2"
324 + op: "Relu"
325 + input: "layer_128_1_scale1_h/BiasAdd"
326 +}
327 +node {
328 + name: "layer_128_1_conv_expand_h/Conv2D"
329 + op: "Conv2D"
330 + input: "Relu_2"
331 + input: "layer_128_1_conv_expand_h/weights"
332 + attr {
333 + key: "dilations"
334 + value {
335 + list {
336 + i: 1
337 + i: 1
338 + i: 1
339 + i: 1
340 + }
341 + }
342 + }
343 + attr {
344 + key: "padding"
345 + value {
346 + s: "SAME"
347 + }
348 + }
349 + attr {
350 + key: "strides"
351 + value {
352 + list {
353 + i: 1
354 + i: 2
355 + i: 2
356 + i: 1
357 + }
358 + }
359 + }
360 +}
361 +node {
362 + name: "layer_128_1_conv1_h/Conv2D"
363 + op: "Conv2D"
364 + input: "Relu_2"
365 + input: "layer_128_1_conv1_h/weights"
366 + attr {
367 + key: "dilations"
368 + value {
369 + list {
370 + i: 1
371 + i: 1
372 + i: 1
373 + i: 1
374 + }
375 + }
376 + }
377 + attr {
378 + key: "padding"
379 + value {
380 + s: "SAME"
381 + }
382 + }
383 + attr {
384 + key: "strides"
385 + value {
386 + list {
387 + i: 1
388 + i: 2
389 + i: 2
390 + i: 1
391 + }
392 + }
393 + }
394 +}
395 +node {
396 + name: "layer_128_1_bn2/FusedBatchNorm"
397 + op: "BiasAdd"
398 + input: "layer_128_1_conv1_h/Conv2D"
399 + input: "layer_128_1_conv1_h/Conv2D_bn_offset"
400 +}
401 +node {
402 + name: "layer_128_1_scale2/Mul"
403 + op: "Mul"
404 + input: "layer_128_1_bn2/FusedBatchNorm"
405 + input: "layer_128_1_scale2/mul"
406 +}
407 +node {
408 + name: "layer_128_1_scale2/BiasAdd"
409 + op: "BiasAdd"
410 + input: "layer_128_1_scale2/Mul"
411 + input: "layer_128_1_scale2/add"
412 +}
413 +node {
414 + name: "Relu_3"
415 + op: "Relu"
416 + input: "layer_128_1_scale2/BiasAdd"
417 +}
418 +node {
419 + name: "layer_128_1_conv2/Conv2D"
420 + op: "Conv2D"
421 + input: "Relu_3"
422 + input: "layer_128_1_conv2/weights"
423 + attr {
424 + key: "dilations"
425 + value {
426 + list {
427 + i: 1
428 + i: 1
429 + i: 1
430 + i: 1
431 + }
432 + }
433 + }
434 + attr {
435 + key: "padding"
436 + value {
437 + s: "SAME"
438 + }
439 + }
440 + attr {
441 + key: "strides"
442 + value {
443 + list {
444 + i: 1
445 + i: 1
446 + i: 1
447 + i: 1
448 + }
449 + }
450 + }
451 +}
452 +node {
453 + name: "add_1"
454 + op: "Add"
455 + input: "layer_128_1_conv2/Conv2D"
456 + input: "layer_128_1_conv_expand_h/Conv2D"
457 +}
458 +node {
459 + name: "layer_256_1_bn1/FusedBatchNorm"
460 + op: "FusedBatchNorm"
461 + input: "add_1"
462 + input: "layer_256_1_bn1/gamma"
463 + input: "layer_256_1_bn1/beta"
464 + input: "layer_256_1_bn1/mean"
465 + input: "layer_256_1_bn1/std"
466 + attr {
467 + key: "epsilon"
468 + value {
469 + f: 1.00099996416e-05
470 + }
471 + }
472 +}
473 +node {
474 + name: "layer_256_1_scale1/Mul"
475 + op: "Mul"
476 + input: "layer_256_1_bn1/FusedBatchNorm"
477 + input: "layer_256_1_scale1/mul"
478 +}
479 +node {
480 + name: "layer_256_1_scale1/BiasAdd"
481 + op: "BiasAdd"
482 + input: "layer_256_1_scale1/Mul"
483 + input: "layer_256_1_scale1/add"
484 +}
485 +node {
486 + name: "Relu_4"
487 + op: "Relu"
488 + input: "layer_256_1_scale1/BiasAdd"
489 +}
490 +node {
491 + name: "SpaceToBatchND_1/paddings"
492 + op: "Const"
493 + attr {
494 + key: "value"
495 + value {
496 + tensor {
497 + dtype: DT_INT32
498 + tensor_shape {
499 + dim {
500 + size: 2
501 + }
502 + dim {
503 + size: 2
504 + }
505 + }
506 + int_val: 1
507 + int_val: 1
508 + int_val: 1
509 + int_val: 1
510 + }
511 + }
512 + }
513 +}
514 +node {
515 + name: "layer_256_1_conv_expand/Conv2D"
516 + op: "Conv2D"
517 + input: "Relu_4"
518 + input: "layer_256_1_conv_expand/weights"
519 + attr {
520 + key: "dilations"
521 + value {
522 + list {
523 + i: 1
524 + i: 1
525 + i: 1
526 + i: 1
527 + }
528 + }
529 + }
530 + attr {
531 + key: "padding"
532 + value {
533 + s: "SAME"
534 + }
535 + }
536 + attr {
537 + key: "strides"
538 + value {
539 + list {
540 + i: 1
541 + i: 2
542 + i: 2
543 + i: 1
544 + }
545 + }
546 + }
547 +}
548 +node {
549 + name: "conv4_3_norm/l2_normalize"
550 + op: "L2Normalize"
551 + input: "Relu_4:0"
552 + input: "conv4_3_norm/l2_normalize/Sum/reduction_indices"
553 +}
554 +node {
555 + name: "conv4_3_norm/mul_1"
556 + op: "Mul"
557 + input: "conv4_3_norm/l2_normalize"
558 + input: "conv4_3_norm/mul"
559 +}
560 +node {
561 + name: "conv4_3_norm_mbox_loc/Conv2D"
562 + op: "Conv2D"
563 + input: "conv4_3_norm/mul_1"
564 + input: "conv4_3_norm_mbox_loc/weights"
565 + attr {
566 + key: "dilations"
567 + value {
568 + list {
569 + i: 1
570 + i: 1
571 + i: 1
572 + i: 1
573 + }
574 + }
575 + }
576 + attr {
577 + key: "padding"
578 + value {
579 + s: "SAME"
580 + }
581 + }
582 + attr {
583 + key: "strides"
584 + value {
585 + list {
586 + i: 1
587 + i: 1
588 + i: 1
589 + i: 1
590 + }
591 + }
592 + }
593 +}
594 +node {
595 + name: "conv4_3_norm_mbox_loc/BiasAdd"
596 + op: "BiasAdd"
597 + input: "conv4_3_norm_mbox_loc/Conv2D"
598 + input: "conv4_3_norm_mbox_loc/bias"
599 +}
600 +node {
601 + name: "flatten/Reshape"
602 + op: "Flatten"
603 + input: "conv4_3_norm_mbox_loc/BiasAdd"
604 +}
605 +node {
606 + name: "conv4_3_norm_mbox_conf/Conv2D"
607 + op: "Conv2D"
608 + input: "conv4_3_norm/mul_1"
609 + input: "conv4_3_norm_mbox_conf/weights"
610 + attr {
611 + key: "dilations"
612 + value {
613 + list {
614 + i: 1
615 + i: 1
616 + i: 1
617 + i: 1
618 + }
619 + }
620 + }
621 + attr {
622 + key: "padding"
623 + value {
624 + s: "SAME"
625 + }
626 + }
627 + attr {
628 + key: "strides"
629 + value {
630 + list {
631 + i: 1
632 + i: 1
633 + i: 1
634 + i: 1
635 + }
636 + }
637 + }
638 +}
639 +node {
640 + name: "conv4_3_norm_mbox_conf/BiasAdd"
641 + op: "BiasAdd"
642 + input: "conv4_3_norm_mbox_conf/Conv2D"
643 + input: "conv4_3_norm_mbox_conf/bias"
644 +}
645 +node {
646 + name: "flatten_6/Reshape"
647 + op: "Flatten"
648 + input: "conv4_3_norm_mbox_conf/BiasAdd"
649 +}
650 +node {
651 + name: "Pad_1"
652 + op: "SpaceToBatchND"
653 + input: "Relu_4"
654 + input: "SpaceToBatchND/block_shape"
655 + input: "SpaceToBatchND_1/paddings"
656 +}
657 +node {
658 + name: "layer_256_1_conv1/Conv2D"
659 + op: "Conv2D"
660 + input: "Pad_1"
661 + input: "layer_256_1_conv1/weights"
662 + attr {
663 + key: "dilations"
664 + value {
665 + list {
666 + i: 1
667 + i: 1
668 + i: 1
669 + i: 1
670 + }
671 + }
672 + }
673 + attr {
674 + key: "padding"
675 + value {
676 + s: "VALID"
677 + }
678 + }
679 + attr {
680 + key: "strides"
681 + value {
682 + list {
683 + i: 1
684 + i: 2
685 + i: 2
686 + i: 1
687 + }
688 + }
689 + }
690 +}
691 +node {
692 + name: "layer_256_1_bn2/FusedBatchNorm"
693 + op: "BiasAdd"
694 + input: "layer_256_1_conv1/Conv2D"
695 + input: "layer_256_1_conv1/Conv2D_bn_offset"
696 +}
697 +node {
698 + name: "BatchToSpaceND_1"
699 + op: "BatchToSpaceND"
700 + input: "layer_256_1_bn2/FusedBatchNorm"
701 +}
702 +node {
703 + name: "layer_256_1_scale2/Mul"
704 + op: "Mul"
705 + input: "BatchToSpaceND_1"
706 + input: "layer_256_1_scale2/mul"
707 +}
708 +node {
709 + name: "layer_256_1_scale2/BiasAdd"
710 + op: "BiasAdd"
711 + input: "layer_256_1_scale2/Mul"
712 + input: "layer_256_1_scale2/add"
713 +}
714 +node {
715 + name: "Relu_5"
716 + op: "Relu"
717 + input: "layer_256_1_scale2/BiasAdd"
718 +}
719 +node {
720 + name: "layer_256_1_conv2/Conv2D"
721 + op: "Conv2D"
722 + input: "Relu_5"
723 + input: "layer_256_1_conv2/weights"
724 + attr {
725 + key: "dilations"
726 + value {
727 + list {
728 + i: 1
729 + i: 1
730 + i: 1
731 + i: 1
732 + }
733 + }
734 + }
735 + attr {
736 + key: "padding"
737 + value {
738 + s: "SAME"
739 + }
740 + }
741 + attr {
742 + key: "strides"
743 + value {
744 + list {
745 + i: 1
746 + i: 1
747 + i: 1
748 + i: 1
749 + }
750 + }
751 + }
752 +}
753 +node {
754 + name: "add_2"
755 + op: "Add"
756 + input: "layer_256_1_conv2/Conv2D"
757 + input: "layer_256_1_conv_expand/Conv2D"
758 +}
759 +node {
760 + name: "layer_512_1_bn1/FusedBatchNorm"
761 + op: "FusedBatchNorm"
762 + input: "add_2"
763 + input: "layer_512_1_bn1/gamma"
764 + input: "layer_512_1_bn1/beta"
765 + input: "layer_512_1_bn1/mean"
766 + input: "layer_512_1_bn1/std"
767 + attr {
768 + key: "epsilon"
769 + value {
770 + f: 1.00099996416e-05
771 + }
772 + }
773 +}
774 +node {
775 + name: "layer_512_1_scale1/Mul"
776 + op: "Mul"
777 + input: "layer_512_1_bn1/FusedBatchNorm"
778 + input: "layer_512_1_scale1/mul"
779 +}
780 +node {
781 + name: "layer_512_1_scale1/BiasAdd"
782 + op: "BiasAdd"
783 + input: "layer_512_1_scale1/Mul"
784 + input: "layer_512_1_scale1/add"
785 +}
786 +node {
787 + name: "Relu_6"
788 + op: "Relu"
789 + input: "layer_512_1_scale1/BiasAdd"
790 +}
791 +node {
792 + name: "layer_512_1_conv_expand_h/Conv2D"
793 + op: "Conv2D"
794 + input: "Relu_6"
795 + input: "layer_512_1_conv_expand_h/weights"
796 + attr {
797 + key: "dilations"
798 + value {
799 + list {
800 + i: 1
801 + i: 1
802 + i: 1
803 + i: 1
804 + }
805 + }
806 + }
807 + attr {
808 + key: "padding"
809 + value {
810 + s: "SAME"
811 + }
812 + }
813 + attr {
814 + key: "strides"
815 + value {
816 + list {
817 + i: 1
818 + i: 1
819 + i: 1
820 + i: 1
821 + }
822 + }
823 + }
824 +}
825 +node {
826 + name: "layer_512_1_conv1_h/Conv2D"
827 + op: "Conv2D"
828 + input: "Relu_6"
829 + input: "layer_512_1_conv1_h/weights"
830 + attr {
831 + key: "dilations"
832 + value {
833 + list {
834 + i: 1
835 + i: 1
836 + i: 1
837 + i: 1
838 + }
839 + }
840 + }
841 + attr {
842 + key: "padding"
843 + value {
844 + s: "SAME"
845 + }
846 + }
847 + attr {
848 + key: "strides"
849 + value {
850 + list {
851 + i: 1
852 + i: 1
853 + i: 1
854 + i: 1
855 + }
856 + }
857 + }
858 +}
859 +node {
860 + name: "layer_512_1_bn2_h/FusedBatchNorm"
861 + op: "BiasAdd"
862 + input: "layer_512_1_conv1_h/Conv2D"
863 + input: "layer_512_1_conv1_h/Conv2D_bn_offset"
864 +}
865 +node {
866 + name: "layer_512_1_scale2_h/Mul"
867 + op: "Mul"
868 + input: "layer_512_1_bn2_h/FusedBatchNorm"
869 + input: "layer_512_1_scale2_h/mul"
870 +}
871 +node {
872 + name: "layer_512_1_scale2_h/BiasAdd"
873 + op: "BiasAdd"
874 + input: "layer_512_1_scale2_h/Mul"
875 + input: "layer_512_1_scale2_h/add"
876 +}
877 +node {
878 + name: "Relu_7"
879 + op: "Relu"
880 + input: "layer_512_1_scale2_h/BiasAdd"
881 +}
882 +node {
883 + name: "layer_512_1_conv2_h/convolution/SpaceToBatchND"
884 + op: "SpaceToBatchND"
885 + input: "Relu_7"
886 + input: "layer_512_1_conv2_h/convolution/SpaceToBatchND/block_shape"
887 + input: "layer_512_1_conv2_h/convolution/SpaceToBatchND/paddings"
888 +}
889 +node {
890 + name: "layer_512_1_conv2_h/convolution"
891 + op: "Conv2D"
892 + input: "layer_512_1_conv2_h/convolution/SpaceToBatchND"
893 + input: "layer_512_1_conv2_h/weights"
894 + attr {
895 + key: "dilations"
896 + value {
897 + list {
898 + i: 1
899 + i: 1
900 + i: 1
901 + i: 1
902 + }
903 + }
904 + }
905 + attr {
906 + key: "padding"
907 + value {
908 + s: "VALID"
909 + }
910 + }
911 + attr {
912 + key: "strides"
913 + value {
914 + list {
915 + i: 1
916 + i: 1
917 + i: 1
918 + i: 1
919 + }
920 + }
921 + }
922 +}
923 +node {
924 + name: "layer_512_1_conv2_h/convolution/BatchToSpaceND"
925 + op: "BatchToSpaceND"
926 + input: "layer_512_1_conv2_h/convolution"
927 + input: "layer_512_1_conv2_h/convolution/BatchToSpaceND/block_shape"
928 + input: "layer_512_1_conv2_h/convolution/BatchToSpaceND/crops"
929 +}
930 +node {
931 + name: "add_3"
932 + op: "Add"
933 + input: "layer_512_1_conv2_h/convolution/BatchToSpaceND"
934 + input: "layer_512_1_conv_expand_h/Conv2D"
935 +}
936 +node {
937 + name: "last_bn_h/FusedBatchNorm"
938 + op: "FusedBatchNorm"
939 + input: "add_3"
940 + input: "last_bn_h/gamma"
941 + input: "last_bn_h/beta"
942 + input: "last_bn_h/mean"
943 + input: "last_bn_h/std"
944 + attr {
945 + key: "epsilon"
946 + value {
947 + f: 1.00099996416e-05
948 + }
949 + }
950 +}
951 +node {
952 + name: "last_scale_h/Mul"
953 + op: "Mul"
954 + input: "last_bn_h/FusedBatchNorm"
955 + input: "last_scale_h/mul"
956 +}
957 +node {
958 + name: "last_scale_h/BiasAdd"
959 + op: "BiasAdd"
960 + input: "last_scale_h/Mul"
961 + input: "last_scale_h/add"
962 +}
963 +node {
964 + name: "last_relu"
965 + op: "Relu"
966 + input: "last_scale_h/BiasAdd"
967 +}
968 +node {
969 + name: "conv6_1_h/Conv2D"
970 + op: "Conv2D"
971 + input: "last_relu"
972 + input: "conv6_1_h/weights"
973 + attr {
974 + key: "dilations"
975 + value {
976 + list {
977 + i: 1
978 + i: 1
979 + i: 1
980 + i: 1
981 + }
982 + }
983 + }
984 + attr {
985 + key: "padding"
986 + value {
987 + s: "SAME"
988 + }
989 + }
990 + attr {
991 + key: "strides"
992 + value {
993 + list {
994 + i: 1
995 + i: 1
996 + i: 1
997 + i: 1
998 + }
999 + }
1000 + }
1001 +}
1002 +node {
1003 + name: "conv6_1_h/BiasAdd"
1004 + op: "BiasAdd"
1005 + input: "conv6_1_h/Conv2D"
1006 + input: "conv6_1_h/bias"
1007 +}
1008 +node {
1009 + name: "conv6_1_h/Relu"
1010 + op: "Relu"
1011 + input: "conv6_1_h/BiasAdd"
1012 +}
1013 +node {
1014 + name: "conv6_2_h/Conv2D"
1015 + op: "Conv2D"
1016 + input: "conv6_1_h/Relu"
1017 + input: "conv6_2_h/weights"
1018 + attr {
1019 + key: "dilations"
1020 + value {
1021 + list {
1022 + i: 1
1023 + i: 1
1024 + i: 1
1025 + i: 1
1026 + }
1027 + }
1028 + }
1029 + attr {
1030 + key: "padding"
1031 + value {
1032 + s: "SAME"
1033 + }
1034 + }
1035 + attr {
1036 + key: "strides"
1037 + value {
1038 + list {
1039 + i: 1
1040 + i: 2
1041 + i: 2
1042 + i: 1
1043 + }
1044 + }
1045 + }
1046 +}
1047 +node {
1048 + name: "conv6_2_h/BiasAdd"
1049 + op: "BiasAdd"
1050 + input: "conv6_2_h/Conv2D"
1051 + input: "conv6_2_h/bias"
1052 +}
1053 +node {
1054 + name: "conv6_2_h/Relu"
1055 + op: "Relu"
1056 + input: "conv6_2_h/BiasAdd"
1057 +}
1058 +node {
1059 + name: "conv7_1_h/Conv2D"
1060 + op: "Conv2D"
1061 + input: "conv6_2_h/Relu"
1062 + input: "conv7_1_h/weights"
1063 + attr {
1064 + key: "dilations"
1065 + value {
1066 + list {
1067 + i: 1
1068 + i: 1
1069 + i: 1
1070 + i: 1
1071 + }
1072 + }
1073 + }
1074 + attr {
1075 + key: "padding"
1076 + value {
1077 + s: "SAME"
1078 + }
1079 + }
1080 + attr {
1081 + key: "strides"
1082 + value {
1083 + list {
1084 + i: 1
1085 + i: 1
1086 + i: 1
1087 + i: 1
1088 + }
1089 + }
1090 + }
1091 +}
1092 +node {
1093 + name: "conv7_1_h/BiasAdd"
1094 + op: "BiasAdd"
1095 + input: "conv7_1_h/Conv2D"
1096 + input: "conv7_1_h/bias"
1097 +}
1098 +node {
1099 + name: "conv7_1_h/Relu"
1100 + op: "Relu"
1101 + input: "conv7_1_h/BiasAdd"
1102 +}
1103 +node {
1104 + name: "Pad_2"
1105 + op: "SpaceToBatchND"
1106 + input: "conv7_1_h/Relu"
1107 + input: "SpaceToBatchND/block_shape"
1108 + input: "SpaceToBatchND_1/paddings"
1109 +}
1110 +node {
1111 + name: "conv7_2_h/Conv2D"
1112 + op: "Conv2D"
1113 + input: "Pad_2"
1114 + input: "conv7_2_h/weights"
1115 + attr {
1116 + key: "dilations"
1117 + value {
1118 + list {
1119 + i: 1
1120 + i: 1
1121 + i: 1
1122 + i: 1
1123 + }
1124 + }
1125 + }
1126 + attr {
1127 + key: "padding"
1128 + value {
1129 + s: "VALID"
1130 + }
1131 + }
1132 + attr {
1133 + key: "strides"
1134 + value {
1135 + list {
1136 + i: 1
1137 + i: 2
1138 + i: 2
1139 + i: 1
1140 + }
1141 + }
1142 + }
1143 +}
1144 +node {
1145 + name: "conv7_2_h/BiasAdd"
1146 + op: "BiasAdd"
1147 + input: "conv7_2_h/Conv2D"
1148 + input: "conv7_2_h/bias"
1149 +}
1150 +node {
1151 + name: "BatchToSpaceND_2"
1152 + op: "BatchToSpaceND"
1153 + input: "conv7_2_h/BiasAdd"
1154 +}
1155 +node {
1156 + name: "conv7_2_h/Relu"
1157 + op: "Relu"
1158 + input: "BatchToSpaceND_2"
1159 +}
1160 +node {
1161 + name: "conv8_1_h/Conv2D"
1162 + op: "Conv2D"
1163 + input: "conv7_2_h/Relu"
1164 + input: "conv8_1_h/weights"
1165 + attr {
1166 + key: "dilations"
1167 + value {
1168 + list {
1169 + i: 1
1170 + i: 1
1171 + i: 1
1172 + i: 1
1173 + }
1174 + }
1175 + }
1176 + attr {
1177 + key: "padding"
1178 + value {
1179 + s: "SAME"
1180 + }
1181 + }
1182 + attr {
1183 + key: "strides"
1184 + value {
1185 + list {
1186 + i: 1
1187 + i: 1
1188 + i: 1
1189 + i: 1
1190 + }
1191 + }
1192 + }
1193 +}
1194 +node {
1195 + name: "conv8_1_h/BiasAdd"
1196 + op: "BiasAdd"
1197 + input: "conv8_1_h/Conv2D"
1198 + input: "conv8_1_h/bias"
1199 +}
1200 +node {
1201 + name: "conv8_1_h/Relu"
1202 + op: "Relu"
1203 + input: "conv8_1_h/BiasAdd"
1204 +}
1205 +node {
1206 + name: "conv8_2_h/Conv2D"
1207 + op: "Conv2D"
1208 + input: "conv8_1_h/Relu"
1209 + input: "conv8_2_h/weights"
1210 + attr {
1211 + key: "dilations"
1212 + value {
1213 + list {
1214 + i: 1
1215 + i: 1
1216 + i: 1
1217 + i: 1
1218 + }
1219 + }
1220 + }
1221 + attr {
1222 + key: "padding"
1223 + value {
1224 + s: "SAME"
1225 + }
1226 + }
1227 + attr {
1228 + key: "strides"
1229 + value {
1230 + list {
1231 + i: 1
1232 + i: 1
1233 + i: 1
1234 + i: 1
1235 + }
1236 + }
1237 + }
1238 +}
1239 +node {
1240 + name: "conv8_2_h/BiasAdd"
1241 + op: "BiasAdd"
1242 + input: "conv8_2_h/Conv2D"
1243 + input: "conv8_2_h/bias"
1244 +}
1245 +node {
1246 + name: "conv8_2_h/Relu"
1247 + op: "Relu"
1248 + input: "conv8_2_h/BiasAdd"
1249 +}
1250 +node {
1251 + name: "conv9_1_h/Conv2D"
1252 + op: "Conv2D"
1253 + input: "conv8_2_h/Relu"
1254 + input: "conv9_1_h/weights"
1255 + attr {
1256 + key: "dilations"
1257 + value {
1258 + list {
1259 + i: 1
1260 + i: 1
1261 + i: 1
1262 + i: 1
1263 + }
1264 + }
1265 + }
1266 + attr {
1267 + key: "padding"
1268 + value {
1269 + s: "SAME"
1270 + }
1271 + }
1272 + attr {
1273 + key: "strides"
1274 + value {
1275 + list {
1276 + i: 1
1277 + i: 1
1278 + i: 1
1279 + i: 1
1280 + }
1281 + }
1282 + }
1283 +}
1284 +node {
1285 + name: "conv9_1_h/BiasAdd"
1286 + op: "BiasAdd"
1287 + input: "conv9_1_h/Conv2D"
1288 + input: "conv9_1_h/bias"
1289 +}
1290 +node {
1291 + name: "conv9_1_h/Relu"
1292 + op: "Relu"
1293 + input: "conv9_1_h/BiasAdd"
1294 +}
1295 +node {
1296 + name: "conv9_2_h/Conv2D"
1297 + op: "Conv2D"
1298 + input: "conv9_1_h/Relu"
1299 + input: "conv9_2_h/weights"
1300 + attr {
1301 + key: "dilations"
1302 + value {
1303 + list {
1304 + i: 1
1305 + i: 1
1306 + i: 1
1307 + i: 1
1308 + }
1309 + }
1310 + }
1311 + attr {
1312 + key: "padding"
1313 + value {
1314 + s: "SAME"
1315 + }
1316 + }
1317 + attr {
1318 + key: "strides"
1319 + value {
1320 + list {
1321 + i: 1
1322 + i: 1
1323 + i: 1
1324 + i: 1
1325 + }
1326 + }
1327 + }
1328 +}
1329 +node {
1330 + name: "conv9_2_h/BiasAdd"
1331 + op: "BiasAdd"
1332 + input: "conv9_2_h/Conv2D"
1333 + input: "conv9_2_h/bias"
1334 +}
1335 +node {
1336 + name: "conv9_2_h/Relu"
1337 + op: "Relu"
1338 + input: "conv9_2_h/BiasAdd"
1339 +}
1340 +node {
1341 + name: "conv9_2_mbox_loc/Conv2D"
1342 + op: "Conv2D"
1343 + input: "conv9_2_h/Relu"
1344 + input: "conv9_2_mbox_loc/weights"
1345 + attr {
1346 + key: "dilations"
1347 + value {
1348 + list {
1349 + i: 1
1350 + i: 1
1351 + i: 1
1352 + i: 1
1353 + }
1354 + }
1355 + }
1356 + attr {
1357 + key: "padding"
1358 + value {
1359 + s: "SAME"
1360 + }
1361 + }
1362 + attr {
1363 + key: "strides"
1364 + value {
1365 + list {
1366 + i: 1
1367 + i: 1
1368 + i: 1
1369 + i: 1
1370 + }
1371 + }
1372 + }
1373 +}
1374 +node {
1375 + name: "conv9_2_mbox_loc/BiasAdd"
1376 + op: "BiasAdd"
1377 + input: "conv9_2_mbox_loc/Conv2D"
1378 + input: "conv9_2_mbox_loc/bias"
1379 +}
1380 +node {
1381 + name: "flatten_5/Reshape"
1382 + op: "Flatten"
1383 + input: "conv9_2_mbox_loc/BiasAdd"
1384 +}
1385 +node {
1386 + name: "conv9_2_mbox_conf/Conv2D"
1387 + op: "Conv2D"
1388 + input: "conv9_2_h/Relu"
1389 + input: "conv9_2_mbox_conf/weights"
1390 + attr {
1391 + key: "dilations"
1392 + value {
1393 + list {
1394 + i: 1
1395 + i: 1
1396 + i: 1
1397 + i: 1
1398 + }
1399 + }
1400 + }
1401 + attr {
1402 + key: "padding"
1403 + value {
1404 + s: "SAME"
1405 + }
1406 + }
1407 + attr {
1408 + key: "strides"
1409 + value {
1410 + list {
1411 + i: 1
1412 + i: 1
1413 + i: 1
1414 + i: 1
1415 + }
1416 + }
1417 + }
1418 +}
1419 +node {
1420 + name: "conv9_2_mbox_conf/BiasAdd"
1421 + op: "BiasAdd"
1422 + input: "conv9_2_mbox_conf/Conv2D"
1423 + input: "conv9_2_mbox_conf/bias"
1424 +}
1425 +node {
1426 + name: "flatten_11/Reshape"
1427 + op: "Flatten"
1428 + input: "conv9_2_mbox_conf/BiasAdd"
1429 +}
1430 +node {
1431 + name: "conv8_2_mbox_loc/Conv2D"
1432 + op: "Conv2D"
1433 + input: "conv8_2_h/Relu"
1434 + input: "conv8_2_mbox_loc/weights"
1435 + attr {
1436 + key: "dilations"
1437 + value {
1438 + list {
1439 + i: 1
1440 + i: 1
1441 + i: 1
1442 + i: 1
1443 + }
1444 + }
1445 + }
1446 + attr {
1447 + key: "padding"
1448 + value {
1449 + s: "SAME"
1450 + }
1451 + }
1452 + attr {
1453 + key: "strides"
1454 + value {
1455 + list {
1456 + i: 1
1457 + i: 1
1458 + i: 1
1459 + i: 1
1460 + }
1461 + }
1462 + }
1463 +}
1464 +node {
1465 + name: "conv8_2_mbox_loc/BiasAdd"
1466 + op: "BiasAdd"
1467 + input: "conv8_2_mbox_loc/Conv2D"
1468 + input: "conv8_2_mbox_loc/bias"
1469 +}
1470 +node {
1471 + name: "flatten_4/Reshape"
1472 + op: "Flatten"
1473 + input: "conv8_2_mbox_loc/BiasAdd"
1474 +}
1475 +node {
1476 + name: "conv8_2_mbox_conf/Conv2D"
1477 + op: "Conv2D"
1478 + input: "conv8_2_h/Relu"
1479 + input: "conv8_2_mbox_conf/weights"
1480 + attr {
1481 + key: "dilations"
1482 + value {
1483 + list {
1484 + i: 1
1485 + i: 1
1486 + i: 1
1487 + i: 1
1488 + }
1489 + }
1490 + }
1491 + attr {
1492 + key: "padding"
1493 + value {
1494 + s: "SAME"
1495 + }
1496 + }
1497 + attr {
1498 + key: "strides"
1499 + value {
1500 + list {
1501 + i: 1
1502 + i: 1
1503 + i: 1
1504 + i: 1
1505 + }
1506 + }
1507 + }
1508 +}
1509 +node {
1510 + name: "conv8_2_mbox_conf/BiasAdd"
1511 + op: "BiasAdd"
1512 + input: "conv8_2_mbox_conf/Conv2D"
1513 + input: "conv8_2_mbox_conf/bias"
1514 +}
1515 +node {
1516 + name: "flatten_10/Reshape"
1517 + op: "Flatten"
1518 + input: "conv8_2_mbox_conf/BiasAdd"
1519 +}
1520 +node {
1521 + name: "conv7_2_mbox_loc/Conv2D"
1522 + op: "Conv2D"
1523 + input: "conv7_2_h/Relu"
1524 + input: "conv7_2_mbox_loc/weights"
1525 + attr {
1526 + key: "dilations"
1527 + value {
1528 + list {
1529 + i: 1
1530 + i: 1
1531 + i: 1
1532 + i: 1
1533 + }
1534 + }
1535 + }
1536 + attr {
1537 + key: "padding"
1538 + value {
1539 + s: "SAME"
1540 + }
1541 + }
1542 + attr {
1543 + key: "strides"
1544 + value {
1545 + list {
1546 + i: 1
1547 + i: 1
1548 + i: 1
1549 + i: 1
1550 + }
1551 + }
1552 + }
1553 +}
1554 +node {
1555 + name: "conv7_2_mbox_loc/BiasAdd"
1556 + op: "BiasAdd"
1557 + input: "conv7_2_mbox_loc/Conv2D"
1558 + input: "conv7_2_mbox_loc/bias"
1559 +}
1560 +node {
1561 + name: "flatten_3/Reshape"
1562 + op: "Flatten"
1563 + input: "conv7_2_mbox_loc/BiasAdd"
1564 +}
1565 +node {
1566 + name: "conv7_2_mbox_conf/Conv2D"
1567 + op: "Conv2D"
1568 + input: "conv7_2_h/Relu"
1569 + input: "conv7_2_mbox_conf/weights"
1570 + attr {
1571 + key: "dilations"
1572 + value {
1573 + list {
1574 + i: 1
1575 + i: 1
1576 + i: 1
1577 + i: 1
1578 + }
1579 + }
1580 + }
1581 + attr {
1582 + key: "padding"
1583 + value {
1584 + s: "SAME"
1585 + }
1586 + }
1587 + attr {
1588 + key: "strides"
1589 + value {
1590 + list {
1591 + i: 1
1592 + i: 1
1593 + i: 1
1594 + i: 1
1595 + }
1596 + }
1597 + }
1598 +}
1599 +node {
1600 + name: "conv7_2_mbox_conf/BiasAdd"
1601 + op: "BiasAdd"
1602 + input: "conv7_2_mbox_conf/Conv2D"
1603 + input: "conv7_2_mbox_conf/bias"
1604 +}
1605 +node {
1606 + name: "flatten_9/Reshape"
1607 + op: "Flatten"
1608 + input: "conv7_2_mbox_conf/BiasAdd"
1609 +}
1610 +node {
1611 + name: "conv6_2_mbox_loc/Conv2D"
1612 + op: "Conv2D"
1613 + input: "conv6_2_h/Relu"
1614 + input: "conv6_2_mbox_loc/weights"
1615 + attr {
1616 + key: "dilations"
1617 + value {
1618 + list {
1619 + i: 1
1620 + i: 1
1621 + i: 1
1622 + i: 1
1623 + }
1624 + }
1625 + }
1626 + attr {
1627 + key: "padding"
1628 + value {
1629 + s: "SAME"
1630 + }
1631 + }
1632 + attr {
1633 + key: "strides"
1634 + value {
1635 + list {
1636 + i: 1
1637 + i: 1
1638 + i: 1
1639 + i: 1
1640 + }
1641 + }
1642 + }
1643 +}
1644 +node {
1645 + name: "conv6_2_mbox_loc/BiasAdd"
1646 + op: "BiasAdd"
1647 + input: "conv6_2_mbox_loc/Conv2D"
1648 + input: "conv6_2_mbox_loc/bias"
1649 +}
1650 +node {
1651 + name: "flatten_2/Reshape"
1652 + op: "Flatten"
1653 + input: "conv6_2_mbox_loc/BiasAdd"
1654 +}
1655 +node {
1656 + name: "conv6_2_mbox_conf/Conv2D"
1657 + op: "Conv2D"
1658 + input: "conv6_2_h/Relu"
1659 + input: "conv6_2_mbox_conf/weights"
1660 + attr {
1661 + key: "dilations"
1662 + value {
1663 + list {
1664 + i: 1
1665 + i: 1
1666 + i: 1
1667 + i: 1
1668 + }
1669 + }
1670 + }
1671 + attr {
1672 + key: "padding"
1673 + value {
1674 + s: "SAME"
1675 + }
1676 + }
1677 + attr {
1678 + key: "strides"
1679 + value {
1680 + list {
1681 + i: 1
1682 + i: 1
1683 + i: 1
1684 + i: 1
1685 + }
1686 + }
1687 + }
1688 +}
1689 +node {
1690 + name: "conv6_2_mbox_conf/BiasAdd"
1691 + op: "BiasAdd"
1692 + input: "conv6_2_mbox_conf/Conv2D"
1693 + input: "conv6_2_mbox_conf/bias"
1694 +}
1695 +node {
1696 + name: "flatten_8/Reshape"
1697 + op: "Flatten"
1698 + input: "conv6_2_mbox_conf/BiasAdd"
1699 +}
1700 +node {
1701 + name: "fc7_mbox_loc/Conv2D"
1702 + op: "Conv2D"
1703 + input: "last_relu"
1704 + input: "fc7_mbox_loc/weights"
1705 + attr {
1706 + key: "dilations"
1707 + value {
1708 + list {
1709 + i: 1
1710 + i: 1
1711 + i: 1
1712 + i: 1
1713 + }
1714 + }
1715 + }
1716 + attr {
1717 + key: "padding"
1718 + value {
1719 + s: "SAME"
1720 + }
1721 + }
1722 + attr {
1723 + key: "strides"
1724 + value {
1725 + list {
1726 + i: 1
1727 + i: 1
1728 + i: 1
1729 + i: 1
1730 + }
1731 + }
1732 + }
1733 +}
1734 +node {
1735 + name: "fc7_mbox_loc/BiasAdd"
1736 + op: "BiasAdd"
1737 + input: "fc7_mbox_loc/Conv2D"
1738 + input: "fc7_mbox_loc/bias"
1739 +}
1740 +node {
1741 + name: "flatten_1/Reshape"
1742 + op: "Flatten"
1743 + input: "fc7_mbox_loc/BiasAdd"
1744 +}
1745 +node {
1746 + name: "mbox_loc"
1747 + op: "ConcatV2"
1748 + input: "flatten/Reshape"
1749 + input: "flatten_1/Reshape"
1750 + input: "flatten_2/Reshape"
1751 + input: "flatten_3/Reshape"
1752 + input: "flatten_4/Reshape"
1753 + input: "flatten_5/Reshape"
1754 + input: "mbox_loc/axis"
1755 +}
1756 +node {
1757 + name: "fc7_mbox_conf/Conv2D"
1758 + op: "Conv2D"
1759 + input: "last_relu"
1760 + input: "fc7_mbox_conf/weights"
1761 + attr {
1762 + key: "dilations"
1763 + value {
1764 + list {
1765 + i: 1
1766 + i: 1
1767 + i: 1
1768 + i: 1
1769 + }
1770 + }
1771 + }
1772 + attr {
1773 + key: "padding"
1774 + value {
1775 + s: "SAME"
1776 + }
1777 + }
1778 + attr {
1779 + key: "strides"
1780 + value {
1781 + list {
1782 + i: 1
1783 + i: 1
1784 + i: 1
1785 + i: 1
1786 + }
1787 + }
1788 + }
1789 +}
1790 +node {
1791 + name: "fc7_mbox_conf/BiasAdd"
1792 + op: "BiasAdd"
1793 + input: "fc7_mbox_conf/Conv2D"
1794 + input: "fc7_mbox_conf/bias"
1795 +}
1796 +node {
1797 + name: "flatten_7/Reshape"
1798 + op: "Flatten"
1799 + input: "fc7_mbox_conf/BiasAdd"
1800 +}
1801 +node {
1802 + name: "mbox_conf"
1803 + op: "ConcatV2"
1804 + input: "flatten_6/Reshape"
1805 + input: "flatten_7/Reshape"
1806 + input: "flatten_8/Reshape"
1807 + input: "flatten_9/Reshape"
1808 + input: "flatten_10/Reshape"
1809 + input: "flatten_11/Reshape"
1810 + input: "mbox_conf/axis"
1811 +}
1812 +node {
1813 + name: "mbox_conf_reshape"
1814 + op: "Reshape"
1815 + input: "mbox_conf"
1816 + input: "reshape_before_softmax"
1817 +}
1818 +node {
1819 + name: "mbox_conf_softmax"
1820 + op: "Softmax"
1821 + input: "mbox_conf_reshape"
1822 + attr {
1823 + key: "axis"
1824 + value {
1825 + i: 2
1826 + }
1827 + }
1828 +}
1829 +node {
1830 + name: "mbox_conf_flatten"
1831 + op: "Flatten"
1832 + input: "mbox_conf_softmax"
1833 +}
1834 +node {
1835 + name: "PriorBox_0"
1836 + op: "PriorBox"
1837 + input: "conv4_3_norm/mul_1"
1838 + input: "data"
1839 + attr {
1840 + key: "aspect_ratio"
1841 + value {
1842 + tensor {
1843 + dtype: DT_FLOAT
1844 + tensor_shape {
1845 + dim {
1846 + size: 1
1847 + }
1848 + }
1849 + float_val: 2.0
1850 + }
1851 + }
1852 + }
1853 + attr {
1854 + key: "clip"
1855 + value {
1856 + b: false
1857 + }
1858 + }
1859 + attr {
1860 + key: "flip"
1861 + value {
1862 + b: true
1863 + }
1864 + }
1865 + attr {
1866 + key: "max_size"
1867 + value {
1868 + i: 60
1869 + }
1870 + }
1871 + attr {
1872 + key: "min_size"
1873 + value {
1874 + i: 30
1875 + }
1876 + }
1877 + attr {
1878 + key: "offset"
1879 + value {
1880 + f: 0.5
1881 + }
1882 + }
1883 + attr {
1884 + key: "step"
1885 + value {
1886 + f: 8.0
1887 + }
1888 + }
1889 + attr {
1890 + key: "variance"
1891 + value {
1892 + tensor {
1893 + dtype: DT_FLOAT
1894 + tensor_shape {
1895 + dim {
1896 + size: 4
1897 + }
1898 + }
1899 + float_val: 0.10000000149
1900 + float_val: 0.10000000149
1901 + float_val: 0.20000000298
1902 + float_val: 0.20000000298
1903 + }
1904 + }
1905 + }
1906 +}
1907 +node {
1908 + name: "PriorBox_1"
1909 + op: "PriorBox"
1910 + input: "last_relu"
1911 + input: "data"
1912 + attr {
1913 + key: "aspect_ratio"
1914 + value {
1915 + tensor {
1916 + dtype: DT_FLOAT
1917 + tensor_shape {
1918 + dim {
1919 + size: 2
1920 + }
1921 + }
1922 + float_val: 2.0
1923 + float_val: 3.0
1924 + }
1925 + }
1926 + }
1927 + attr {
1928 + key: "clip"
1929 + value {
1930 + b: false
1931 + }
1932 + }
1933 + attr {
1934 + key: "flip"
1935 + value {
1936 + b: true
1937 + }
1938 + }
1939 + attr {
1940 + key: "max_size"
1941 + value {
1942 + i: 111
1943 + }
1944 + }
1945 + attr {
1946 + key: "min_size"
1947 + value {
1948 + i: 60
1949 + }
1950 + }
1951 + attr {
1952 + key: "offset"
1953 + value {
1954 + f: 0.5
1955 + }
1956 + }
1957 + attr {
1958 + key: "step"
1959 + value {
1960 + f: 16.0
1961 + }
1962 + }
1963 + attr {
1964 + key: "variance"
1965 + value {
1966 + tensor {
1967 + dtype: DT_FLOAT
1968 + tensor_shape {
1969 + dim {
1970 + size: 4
1971 + }
1972 + }
1973 + float_val: 0.10000000149
1974 + float_val: 0.10000000149
1975 + float_val: 0.20000000298
1976 + float_val: 0.20000000298
1977 + }
1978 + }
1979 + }
1980 +}
1981 +node {
1982 + name: "PriorBox_2"
1983 + op: "PriorBox"
1984 + input: "conv6_2_h/Relu"
1985 + input: "data"
1986 + attr {
1987 + key: "aspect_ratio"
1988 + value {
1989 + tensor {
1990 + dtype: DT_FLOAT
1991 + tensor_shape {
1992 + dim {
1993 + size: 2
1994 + }
1995 + }
1996 + float_val: 2.0
1997 + float_val: 3.0
1998 + }
1999 + }
2000 + }
2001 + attr {
2002 + key: "clip"
2003 + value {
2004 + b: false
2005 + }
2006 + }
2007 + attr {
2008 + key: "flip"
2009 + value {
2010 + b: true
2011 + }
2012 + }
2013 + attr {
2014 + key: "max_size"
2015 + value {
2016 + i: 162
2017 + }
2018 + }
2019 + attr {
2020 + key: "min_size"
2021 + value {
2022 + i: 111
2023 + }
2024 + }
2025 + attr {
2026 + key: "offset"
2027 + value {
2028 + f: 0.5
2029 + }
2030 + }
2031 + attr {
2032 + key: "step"
2033 + value {
2034 + f: 32.0
2035 + }
2036 + }
2037 + attr {
2038 + key: "variance"
2039 + value {
2040 + tensor {
2041 + dtype: DT_FLOAT
2042 + tensor_shape {
2043 + dim {
2044 + size: 4
2045 + }
2046 + }
2047 + float_val: 0.10000000149
2048 + float_val: 0.10000000149
2049 + float_val: 0.20000000298
2050 + float_val: 0.20000000298
2051 + }
2052 + }
2053 + }
2054 +}
2055 +node {
2056 + name: "PriorBox_3"
2057 + op: "PriorBox"
2058 + input: "conv7_2_h/Relu"
2059 + input: "data"
2060 + attr {
2061 + key: "aspect_ratio"
2062 + value {
2063 + tensor {
2064 + dtype: DT_FLOAT
2065 + tensor_shape {
2066 + dim {
2067 + size: 2
2068 + }
2069 + }
2070 + float_val: 2.0
2071 + float_val: 3.0
2072 + }
2073 + }
2074 + }
2075 + attr {
2076 + key: "clip"
2077 + value {
2078 + b: false
2079 + }
2080 + }
2081 + attr {
2082 + key: "flip"
2083 + value {
2084 + b: true
2085 + }
2086 + }
2087 + attr {
2088 + key: "max_size"
2089 + value {
2090 + i: 213
2091 + }
2092 + }
2093 + attr {
2094 + key: "min_size"
2095 + value {
2096 + i: 162
2097 + }
2098 + }
2099 + attr {
2100 + key: "offset"
2101 + value {
2102 + f: 0.5
2103 + }
2104 + }
2105 + attr {
2106 + key: "step"
2107 + value {
2108 + f: 64.0
2109 + }
2110 + }
2111 + attr {
2112 + key: "variance"
2113 + value {
2114 + tensor {
2115 + dtype: DT_FLOAT
2116 + tensor_shape {
2117 + dim {
2118 + size: 4
2119 + }
2120 + }
2121 + float_val: 0.10000000149
2122 + float_val: 0.10000000149
2123 + float_val: 0.20000000298
2124 + float_val: 0.20000000298
2125 + }
2126 + }
2127 + }
2128 +}
2129 +node {
2130 + name: "PriorBox_4"
2131 + op: "PriorBox"
2132 + input: "conv8_2_h/Relu"
2133 + input: "data"
2134 + attr {
2135 + key: "aspect_ratio"
2136 + value {
2137 + tensor {
2138 + dtype: DT_FLOAT
2139 + tensor_shape {
2140 + dim {
2141 + size: 1
2142 + }
2143 + }
2144 + float_val: 2.0
2145 + }
2146 + }
2147 + }
2148 + attr {
2149 + key: "clip"
2150 + value {
2151 + b: false
2152 + }
2153 + }
2154 + attr {
2155 + key: "flip"
2156 + value {
2157 + b: true
2158 + }
2159 + }
2160 + attr {
2161 + key: "max_size"
2162 + value {
2163 + i: 264
2164 + }
2165 + }
2166 + attr {
2167 + key: "min_size"
2168 + value {
2169 + i: 213
2170 + }
2171 + }
2172 + attr {
2173 + key: "offset"
2174 + value {
2175 + f: 0.5
2176 + }
2177 + }
2178 + attr {
2179 + key: "step"
2180 + value {
2181 + f: 100.0
2182 + }
2183 + }
2184 + attr {
2185 + key: "variance"
2186 + value {
2187 + tensor {
2188 + dtype: DT_FLOAT
2189 + tensor_shape {
2190 + dim {
2191 + size: 4
2192 + }
2193 + }
2194 + float_val: 0.10000000149
2195 + float_val: 0.10000000149
2196 + float_val: 0.20000000298
2197 + float_val: 0.20000000298
2198 + }
2199 + }
2200 + }
2201 +}
2202 +node {
2203 + name: "PriorBox_5"
2204 + op: "PriorBox"
2205 + input: "conv9_2_h/Relu"
2206 + input: "data"
2207 + attr {
2208 + key: "aspect_ratio"
2209 + value {
2210 + tensor {
2211 + dtype: DT_FLOAT
2212 + tensor_shape {
2213 + dim {
2214 + size: 1
2215 + }
2216 + }
2217 + float_val: 2.0
2218 + }
2219 + }
2220 + }
2221 + attr {
2222 + key: "clip"
2223 + value {
2224 + b: false
2225 + }
2226 + }
2227 + attr {
2228 + key: "flip"
2229 + value {
2230 + b: true
2231 + }
2232 + }
2233 + attr {
2234 + key: "max_size"
2235 + value {
2236 + i: 315
2237 + }
2238 + }
2239 + attr {
2240 + key: "min_size"
2241 + value {
2242 + i: 264
2243 + }
2244 + }
2245 + attr {
2246 + key: "offset"
2247 + value {
2248 + f: 0.5
2249 + }
2250 + }
2251 + attr {
2252 + key: "step"
2253 + value {
2254 + f: 300.0
2255 + }
2256 + }
2257 + attr {
2258 + key: "variance"
2259 + value {
2260 + tensor {
2261 + dtype: DT_FLOAT
2262 + tensor_shape {
2263 + dim {
2264 + size: 4
2265 + }
2266 + }
2267 + float_val: 0.10000000149
2268 + float_val: 0.10000000149
2269 + float_val: 0.20000000298
2270 + float_val: 0.20000000298
2271 + }
2272 + }
2273 + }
2274 +}
2275 +node {
2276 + name: "mbox_priorbox"
2277 + op: "ConcatV2"
2278 + input: "PriorBox_0"
2279 + input: "PriorBox_1"
2280 + input: "PriorBox_2"
2281 + input: "PriorBox_3"
2282 + input: "PriorBox_4"
2283 + input: "PriorBox_5"
2284 + input: "mbox_loc/axis"
2285 +}
2286 +node {
2287 + name: "detection_out"
2288 + op: "DetectionOutput"
2289 + input: "mbox_loc"
2290 + input: "mbox_conf_flatten"
2291 + input: "mbox_priorbox"
2292 + attr {
2293 + key: "background_label_id"
2294 + value {
2295 + i: 0
2296 + }
2297 + }
2298 + attr {
2299 + key: "code_type"
2300 + value {
2301 + s: "CENTER_SIZE"
2302 + }
2303 + }
2304 + attr {
2305 + key: "confidence_threshold"
2306 + value {
2307 + f: 0.00999999977648
2308 + }
2309 + }
2310 + attr {
2311 + key: "keep_top_k"
2312 + value {
2313 + i: 200
2314 + }
2315 + }
2316 + attr {
2317 + key: "nms_threshold"
2318 + value {
2319 + f: 0.449999988079
2320 + }
2321 + }
2322 + attr {
2323 + key: "num_classes"
2324 + value {
2325 + i: 2
2326 + }
2327 + }
2328 + attr {
2329 + key: "share_location"
2330 + value {
2331 + b: true
2332 + }
2333 + }
2334 + attr {
2335 + key: "top_k"
2336 + value {
2337 + i: 400
2338 + }
2339 + }
2340 +}
2341 +node {
2342 + name: "reshape_before_softmax"
2343 + op: "Const"
2344 + attr {
2345 + key: "value"
2346 + value {
2347 + tensor {
2348 + dtype: DT_INT32
2349 + tensor_shape {
2350 + dim {
2351 + size: 3
2352 + }
2353 + }
2354 + int_val: 0
2355 + int_val: -1
2356 + int_val: 2
2357 + }
2358 + }
2359 + }
2360 +}
2361 +library {
2362 +}