1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
|
# Pre-computed receptive field parameters
## Table with results
The table below presents the receptive field parameters for several popular
convolutional neural networks. These are computed using the models from the
[TF-Slim
repository](https://github.com/tensorflow/models/tree/master/research/slim),
by using the [rf_benchmark
script](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/receptive_field/python/util/examples/rf_benchmark.py).
Questions? See the [FAQ](#faq).
CNN | resolution | end-point | RF | effective stride | effective padding
:----------------------------: | :--------: | :------------------: | :--: | :--------------: | :---------------:
alexnet_v2 | None | alexnet_v2/conv1 | 11 | 4 | 0
alexnet_v2 | None | alexnet_v2/pool1 | 19 | 8 | 0
alexnet_v2 | None | alexnet_v2/conv2 | 51 | 8 | 16
alexnet_v2 | None | alexnet_v2/conv3 | 99 | 16 | 32
alexnet_v2 | None | alexnet_v2/conv4 | 131 | 16 | 48
alexnet_v2 | None | alexnet_v2/conv5 | 163 | 16 | 64
alexnet_v2 | None | alexnet_v2/pool5 | 195 | 32 | 64
alexnet_v2 | 224 | alexnet_v2/conv1 | 11 | 4 | 0
alexnet_v2 | 224 | alexnet_v2/pool1 | 19 | 8 | 0
alexnet_v2 | 224 | alexnet_v2/conv2 | 51 | 8 | 16
alexnet_v2 | 224 | alexnet_v2/conv3 | 99 | 16 | 32
alexnet_v2 | 224 | alexnet_v2/conv4 | 131 | 16 | 48
alexnet_v2 | 224 | alexnet_v2/conv5 | 163 | 16 | 64
alexnet_v2 | 224 | alexnet_v2/pool5 | 195 | 32 | 64
alexnet_v2 | 321 | alexnet_v2/conv1 | 11 | 4 | 0
alexnet_v2 | 321 | alexnet_v2/pool1 | 19 | 8 | 0
alexnet_v2 | 321 | alexnet_v2/conv2 | 51 | 8 | 16
alexnet_v2 | 321 | alexnet_v2/conv3 | 99 | 16 | 32
alexnet_v2 | 321 | alexnet_v2/conv4 | 131 | 16 | 48
alexnet_v2 | 321 | alexnet_v2/conv5 | 163 | 16 | 64
alexnet_v2 | 321 | alexnet_v2/pool5 | 195 | 32 | 64
vgg_a | None | vgg_a/conv1/conv1_1 | 3 | 1 | 1
vgg_a | None | vgg_a/pool1 | 4 | 2 | 1
vgg_a | None | vgg_a/conv2/conv2_1 | 8 | 2 | 3
vgg_a | None | vgg_a/pool2 | 10 | 4 | 3
vgg_a | None | vgg_a/conv3/conv3_1 | 18 | 4 | 7
vgg_a | None | vgg_a/conv3/conv3_2 | 26 | 4 | 11
vgg_a | None | vgg_a/pool3 | 30 | 8 | 11
vgg_a | None | vgg_a/conv4/conv4_1 | 46 | 8 | 19
vgg_a | None | vgg_a/conv4/conv4_2 | 62 | 8 | 27
vgg_a | None | vgg_a/pool4 | 70 | 16 | 27
vgg_a | None | vgg_a/conv5/conv5_1 | 102 | 16 | 43
vgg_a | None | vgg_a/conv5/conv5_2 | 134 | 16 | 59
vgg_a | None | vgg_a/pool5 | 150 | 32 | 59
vgg_a | 224 | vgg_a/conv1/conv1_1 | 3 | 1 | 1
vgg_a | 224 | vgg_a/pool1 | 4 | 2 | 1
vgg_a | 224 | vgg_a/conv2/conv2_1 | 8 | 2 | 3
vgg_a | 224 | vgg_a/pool2 | 10 | 4 | 3
vgg_a | 224 | vgg_a/conv3/conv3_1 | 18 | 4 | 7
vgg_a | 224 | vgg_a/conv3/conv3_2 | 26 | 4 | 11
vgg_a | 224 | vgg_a/pool3 | 30 | 8 | 11
vgg_a | 224 | vgg_a/conv4/conv4_1 | 46 | 8 | 19
vgg_a | 224 | vgg_a/conv4/conv4_2 | 62 | 8 | 27
vgg_a | 224 | vgg_a/pool4 | 70 | 16 | 27
vgg_a | 224 | vgg_a/conv5/conv5_1 | 102 | 16 | 43
vgg_a | 224 | vgg_a/conv5/conv5_2 | 134 | 16 | 59
vgg_a | 224 | vgg_a/pool5 | 150 | 32 | 59
vgg_a | 321 | vgg_a/conv1/conv1_1 | 3 | 1 | 1
vgg_a | 321 | vgg_a/pool1 | 4 | 2 | 1
vgg_a | 321 | vgg_a/conv2/conv2_1 | 8 | 2 | 3
vgg_a | 321 | vgg_a/pool2 | 10 | 4 | 3
vgg_a | 321 | vgg_a/conv3/conv3_1 | 18 | 4 | 7
vgg_a | 321 | vgg_a/conv3/conv3_2 | 26 | 4 | 11
vgg_a | 321 | vgg_a/pool3 | 30 | 8 | 11
vgg_a | 321 | vgg_a/conv4/conv4_1 | 46 | 8 | 19
vgg_a | 321 | vgg_a/conv4/conv4_2 | 62 | 8 | 27
vgg_a | 321 | vgg_a/pool4 | 70 | 16 | 27
vgg_a | 321 | vgg_a/conv5/conv5_1 | 102 | 16 | 43
vgg_a | 321 | vgg_a/conv5/conv5_2 | 134 | 16 | 59
vgg_a | 321 | vgg_a/pool5 | 150 | 32 | 59
vgg_16 | None | vgg_16/conv1/conv1_1 | 3 | 1 | 1
vgg_16 | None | vgg_16/pool1 | 6 | 2 | 2
vgg_16 | None | vgg_16/conv2/conv2_1 | 10 | 2 | 4
vgg_16 | None | vgg_16/pool2 | 16 | 4 | 6
vgg_16 | None | vgg_16/conv3/conv3_1 | 24 | 4 | 10
vgg_16 | None | vgg_16/conv3/conv3_2 | 32 | 4 | 14
vgg_16 | None | vgg_16/pool3 | 44 | 8 | 18
vgg_16 | None | vgg_16/conv4/conv4_1 | 60 | 8 | 26
vgg_16 | None | vgg_16/conv4/conv4_2 | 76 | 8 | 34
vgg_16 | None | vgg_16/pool4 | 100 | 16 | 42
vgg_16 | None | vgg_16/conv5/conv5_1 | 132 | 16 | 58
vgg_16 | None | vgg_16/conv5/conv5_2 | 164 | 16 | 74
vgg_16 | None | vgg_16/pool5 | 212 | 32 | 90
vgg_16 | 224 | vgg_16/conv1/conv1_1 | 3 | 1 | 1
vgg_16 | 224 | vgg_16/pool1 | 6 | 2 | 2
vgg_16 | 224 | vgg_16/conv2/conv2_1 | 10 | 2 | 4
vgg_16 | 224 | vgg_16/pool2 | 16 | 4 | 6
vgg_16 | 224 | vgg_16/conv3/conv3_1 | 24 | 4 | 10
vgg_16 | 224 | vgg_16/conv3/conv3_2 | 32 | 4 | 14
vgg_16 | 224 | vgg_16/pool3 | 44 | 8 | 18
vgg_16 | 224 | vgg_16/conv4/conv4_1 | 60 | 8 | 26
vgg_16 | 224 | vgg_16/conv4/conv4_2 | 76 | 8 | 34
vgg_16 | 224 | vgg_16/pool4 | 100 | 16 | 42
vgg_16 | 224 | vgg_16/conv5/conv5_1 | 132 | 16 | 58
vgg_16 | 224 | vgg_16/conv5/conv5_2 | 164 | 16 | 74
vgg_16 | 224 | vgg_16/pool5 | 212 | 32 | 90
vgg_16 | 321 | vgg_16/conv1/conv1_1 | 3 | 1 | 1
vgg_16 | 321 | vgg_16/pool1 | 6 | 2 | 2
vgg_16 | 321 | vgg_16/conv2/conv2_1 | 10 | 2 | 4
vgg_16 | 321 | vgg_16/pool2 | 16 | 4 | 6
vgg_16 | 321 | vgg_16/conv3/conv3_1 | 24 | 4 | 10
vgg_16 | 321 | vgg_16/conv3/conv3_2 | 32 | 4 | 14
vgg_16 | 321 | vgg_16/pool3 | 44 | 8 | 18
vgg_16 | 321 | vgg_16/conv4/conv4_1 | 60 | 8 | 26
vgg_16 | 321 | vgg_16/conv4/conv4_2 | 76 | 8 | 34
vgg_16 | 321 | vgg_16/pool4 | 100 | 16 | 42
vgg_16 | 321 | vgg_16/conv5/conv5_1 | 132 | 16 | 58
vgg_16 | 321 | vgg_16/conv5/conv5_2 | 164 | 16 | 74
vgg_16 | 321 | vgg_16/pool5 | 212 | 32 | 90
inception_v2 | None | Conv2d_1a_7x7 | 7 | 2 | None
inception_v2 | None | MaxPool_2a_3x3 | 11 | 4 | None
inception_v2 | None | Conv2d_2b_1x1 | 11 | 4 | None
inception_v2 | None | Conv2d_2c_3x3 | 19 | 4 | None
inception_v2 | None | MaxPool_3a_3x3 | 27 | 8 | None
inception_v2 | None | Mixed_3b | 59 | 8 | None
inception_v2 | None | Mixed_3c | 91 | 8 | None
inception_v2 | None | Mixed_4a | 123 | 16 | None
inception_v2 | None | Mixed_4b | 187 | 16 | None
inception_v2 | None | Mixed_4c | 251 | 16 | None
inception_v2 | None | Mixed_4d | 315 | 16 | None
inception_v2 | None | Mixed_4e | 379 | 16 | None
inception_v2 | None | Mixed_5a | 443 | 32 | None
inception_v2 | None | Mixed_5b | 571 | 32 | None
inception_v2 | None | Mixed_5c | 699 | 32 | None
inception_v2 | 224 | Conv2d_1a_7x7 | 7 | 2 | 2
inception_v2 | 224 | MaxPool_2a_3x3 | 11 | 4 | 2
inception_v2 | 224 | Conv2d_2b_1x1 | 11 | 4 | 2
inception_v2 | 224 | Conv2d_2c_3x3 | 19 | 4 | 6
inception_v2 | 224 | MaxPool_3a_3x3 | 27 | 8 | 6
inception_v2 | 224 | Mixed_3b | 59 | 8 | 22
inception_v2 | 224 | Mixed_3c | 91 | 8 | 38
inception_v2 | 224 | Mixed_4a | 123 | 16 | 46
inception_v2 | 224 | Mixed_4b | 187 | 16 | 78
inception_v2 | 224 | Mixed_4c | 251 | 16 | 110
inception_v2 | 224 | Mixed_4d | 315 | 16 | 142
inception_v2 | 224 | Mixed_4e | 379 | 16 | 174
inception_v2 | 224 | Mixed_5a | 443 | 32 | 190
inception_v2 | 224 | Mixed_5b | 571 | 32 | 254
inception_v2 | 224 | Mixed_5c | 699 | 32 | 318
inception_v2 | 321 | Conv2d_1a_7x7 | 7 | 2 | 3
inception_v2 | 321 | MaxPool_2a_3x3 | 11 | 4 | 5
inception_v2 | 321 | Conv2d_2b_1x1 | 11 | 4 | 5
inception_v2 | 321 | Conv2d_2c_3x3 | 19 | 4 | 9
inception_v2 | 321 | MaxPool_3a_3x3 | 27 | 8 | 13
inception_v2 | 321 | Mixed_3b | 59 | 8 | 29
inception_v2 | 321 | Mixed_3c | 91 | 8 | 45
inception_v2 | 321 | Mixed_4a | 123 | 16 | 61
inception_v2 | 321 | Mixed_4b | 187 | 16 | 93
inception_v2 | 321 | Mixed_4c | 251 | 16 | 125
inception_v2 | 321 | Mixed_4d | 315 | 16 | 157
inception_v2 | 321 | Mixed_4e | 379 | 16 | 189
inception_v2 | 321 | Mixed_5a | 443 | 32 | 221
inception_v2 | 321 | Mixed_5b | 571 | 32 | 285
inception_v2 | 321 | Mixed_5c | 699 | 32 | 349
inception_v2-no-separable-conv | None | Conv2d_1a_7x7 | 7 | 2 | None
inception_v2-no-separable-conv | None | MaxPool_2a_3x3 | 11 | 4 | None
inception_v2-no-separable-conv | None | Conv2d_2b_1x1 | 11 | 4 | None
inception_v2-no-separable-conv | None | Conv2d_2c_3x3 | 19 | 4 | None
inception_v2-no-separable-conv | None | MaxPool_3a_3x3 | 27 | 8 | None
inception_v2-no-separable-conv | None | Mixed_3b | 59 | 8 | None
inception_v2-no-separable-conv | None | Mixed_3c | 91 | 8 | None
inception_v2-no-separable-conv | None | Mixed_4a | 123 | 16 | None
inception_v2-no-separable-conv | None | Mixed_4b | 187 | 16 | None
inception_v2-no-separable-conv | None | Mixed_4c | 251 | 16 | None
inception_v2-no-separable-conv | None | Mixed_4d | 315 | 16 | None
inception_v2-no-separable-conv | None | Mixed_4e | 379 | 16 | None
inception_v2-no-separable-conv | None | Mixed_5a | 443 | 32 | None
inception_v2-no-separable-conv | None | Mixed_5b | 571 | 32 | None
inception_v2-no-separable-conv | None | Mixed_5c | 699 | 32 | None
inception_v2-no-separable-conv | 224 | Conv2d_1a_7x7 | 7 | 2 | 2
inception_v2-no-separable-conv | 224 | MaxPool_2a_3x3 | 11 | 4 | 2
inception_v2-no-separable-conv | 224 | Conv2d_2b_1x1 | 11 | 4 | 2
inception_v2-no-separable-conv | 224 | Conv2d_2c_3x3 | 19 | 4 | 6
inception_v2-no-separable-conv | 224 | MaxPool_3a_3x3 | 27 | 8 | 6
inception_v2-no-separable-conv | 224 | Mixed_3b | 59 | 8 | 22
inception_v2-no-separable-conv | 224 | Mixed_3c | 91 | 8 | 38
inception_v2-no-separable-conv | 224 | Mixed_4a | 123 | 16 | 46
inception_v2-no-separable-conv | 224 | Mixed_4b | 187 | 16 | 78
inception_v2-no-separable-conv | 224 | Mixed_4c | 251 | 16 | 110
inception_v2-no-separable-conv | 224 | Mixed_4d | 315 | 16 | 142
inception_v2-no-separable-conv | 224 | Mixed_4e | 379 | 16 | 174
inception_v2-no-separable-conv | 224 | Mixed_5a | 443 | 32 | 190
inception_v2-no-separable-conv | 224 | Mixed_5b | 571 | 32 | 254
inception_v2-no-separable-conv | 224 | Mixed_5c | 699 | 32 | 318
inception_v2-no-separable-conv | 321 | Conv2d_1a_7x7 | 7 | 2 | 3
inception_v2-no-separable-conv | 321 | MaxPool_2a_3x3 | 11 | 4 | 5
inception_v2-no-separable-conv | 321 | Conv2d_2b_1x1 | 11 | 4 | 5
inception_v2-no-separable-conv | 321 | Conv2d_2c_3x3 | 19 | 4 | 9
inception_v2-no-separable-conv | 321 | MaxPool_3a_3x3 | 27 | 8 | 13
inception_v2-no-separable-conv | 321 | Mixed_3b | 59 | 8 | 29
inception_v2-no-separable-conv | 321 | Mixed_3c | 91 | 8 | 45
inception_v2-no-separable-conv | 321 | Mixed_4a | 123 | 16 | 61
inception_v2-no-separable-conv | 321 | Mixed_4b | 187 | 16 | 93
inception_v2-no-separable-conv | 321 | Mixed_4c | 251 | 16 | 125
inception_v2-no-separable-conv | 321 | Mixed_4d | 315 | 16 | 157
inception_v2-no-separable-conv | 321 | Mixed_4e | 379 | 16 | 189
inception_v2-no-separable-conv | 321 | Mixed_5a | 443 | 32 | 221
inception_v2-no-separable-conv | 321 | Mixed_5b | 571 | 32 | 285
inception_v2-no-separable-conv | 321 | Mixed_5c | 699 | 32 | 349
inception_v3 | None | Conv2d_1a_3x3 | 3 | 2 | 0
inception_v3 | None | Conv2d_2a_3x3 | 7 | 2 | 0
inception_v3 | None | Conv2d_2b_3x3 | 11 | 2 | 2
inception_v3 | None | MaxPool_3a_3x3 | 15 | 4 | 2
inception_v3 | None | Conv2d_3b_1x1 | 15 | 4 | 2
inception_v3 | None | Conv2d_4a_3x3 | 23 | 4 | 2
inception_v3 | None | MaxPool_5a_3x3 | 31 | 8 | 2
inception_v3 | None | Mixed_5b | 63 | 8 | 18
inception_v3 | None | Mixed_5c | 95 | 8 | 34
inception_v3 | None | Mixed_5d | 127 | 8 | 50
inception_v3 | None | Mixed_6a | 159 | 16 | 58
inception_v3 | None | Mixed_6b | 351 | 16 | 154
inception_v3 | None | Mixed_6c | 543 | 16 | 250
inception_v3 | None | Mixed_6d | 735 | 16 | 346
inception_v3 | None | Mixed_6e | 927 | 16 | 442
inception_v3 | None | Mixed_7a | 1055 | 32 | 490
inception_v3 | None | Mixed_7b | 1183 | 32 | 554
inception_v3 | None | Mixed_7c | 1311 | 32 | 618
inception_v3 | 224 | Conv2d_1a_3x3 | 3 | 2 | 0
inception_v3 | 224 | Conv2d_2a_3x3 | 7 | 2 | 0
inception_v3 | 224 | Conv2d_2b_3x3 | 11 | 2 | 2
inception_v3 | 224 | MaxPool_3a_3x3 | 15 | 4 | 2
inception_v3 | 224 | Conv2d_3b_1x1 | 15 | 4 | 2
inception_v3 | 224 | Conv2d_4a_3x3 | 23 | 4 | 2
inception_v3 | 224 | MaxPool_5a_3x3 | 31 | 8 | 2
inception_v3 | 224 | Mixed_5b | 63 | 8 | 18
inception_v3 | 224 | Mixed_5c | 95 | 8 | 34
inception_v3 | 224 | Mixed_5d | 127 | 8 | 50
inception_v3 | 224 | Mixed_6a | 159 | 16 | 58
inception_v3 | 224 | Mixed_6b | 351 | 16 | 154
inception_v3 | 224 | Mixed_6c | 543 | 16 | 250
inception_v3 | 224 | Mixed_6d | 735 | 16 | 346
inception_v3 | 224 | Mixed_6e | 927 | 16 | 442
inception_v3 | 224 | Mixed_7a | 1055 | 32 | 490
inception_v3 | 224 | Mixed_7b | 1183 | 32 | 554
inception_v3 | 224 | Mixed_7c | 1311 | 32 | 618
inception_v3 | 321 | Conv2d_1a_3x3 | 3 | 2 | 0
inception_v3 | 321 | Conv2d_2a_3x3 | 7 | 2 | 0
inception_v3 | 321 | Conv2d_2b_3x3 | 11 | 2 | 2
inception_v3 | 321 | MaxPool_3a_3x3 | 15 | 4 | 2
inception_v3 | 321 | Conv2d_3b_1x1 | 15 | 4 | 2
inception_v3 | 321 | Conv2d_4a_3x3 | 23 | 4 | 2
inception_v3 | 321 | MaxPool_5a_3x3 | 31 | 8 | 2
inception_v3 | 321 | Mixed_5b | 63 | 8 | 18
inception_v3 | 321 | Mixed_5c | 95 | 8 | 34
inception_v3 | 321 | Mixed_5d | 127 | 8 | 50
inception_v3 | 321 | Mixed_6a | 159 | 16 | 58
inception_v3 | 321 | Mixed_6b | 351 | 16 | 154
inception_v3 | 321 | Mixed_6c | 543 | 16 | 250
inception_v3 | 321 | Mixed_6d | 735 | 16 | 346
inception_v3 | 321 | Mixed_6e | 927 | 16 | 442
inception_v3 | 321 | Mixed_7a | 1055 | 32 | 490
inception_v3 | 321 | Mixed_7b | 1183 | 32 | 554
inception_v3 | 321 | Mixed_7c | 1311 | 32 | 618
inception_v4 | None | Conv2d_1a_3x3 | 3 | 2 | 0
inception_v4 | None | Conv2d_2a_3x3 | 7 | 2 | 0
inception_v4 | None | Conv2d_2b_3x3 | 11 | 2 | 2
inception_v4 | None | Mixed_3a | 15 | 4 | 2
inception_v4 | None | Mixed_4a | 47 | 4 | 14
inception_v4 | None | Mixed_5a | 55 | 8 | 14
inception_v4 | None | Mixed_5b | 87 | 8 | 30
inception_v4 | None | Mixed_5c | 119 | 8 | 46
inception_v4 | None | Mixed_5d | 151 | 8 | 62
inception_v4 | None | Mixed_5e | 183 | 8 | 78
inception_v4 | None | Mixed_6a | 215 | 16 | 86
inception_v4 | None | Mixed_6b | 407 | 16 | 182
inception_v4 | None | Mixed_6c | 599 | 16 | 278
inception_v4 | None | Mixed_6d | 791 | 16 | 374
inception_v4 | None | Mixed_6e | 983 | 16 | 470
inception_v4 | None | Mixed_6f | 1175 | 16 | 566
inception_v4 | None | Mixed_6g | 1367 | 16 | 662
inception_v4 | None | Mixed_6h | 1559 | 16 | 758
inception_v4 | None | Mixed_7a | 1687 | 32 | 806
inception_v4 | None | Mixed_7b | 1815 | 32 | 870
inception_v4 | None | Mixed_7c | 1943 | 32 | 934
inception_v4 | None | Mixed_7d | 2071 | 32 | 998
inception_v4 | 224 | Conv2d_1a_3x3 | 3 | 2 | 0
inception_v4 | 224 | Conv2d_2a_3x3 | 7 | 2 | 0
inception_v4 | 224 | Conv2d_2b_3x3 | 11 | 2 | 2
inception_v4 | 224 | Mixed_3a | 15 | 4 | 2
inception_v4 | 224 | Mixed_4a | 47 | 4 | 14
inception_v4 | 224 | Mixed_5a | 55 | 8 | 14
inception_v4 | 224 | Mixed_5b | 87 | 8 | 30
inception_v4 | 224 | Mixed_5c | 119 | 8 | 46
inception_v4 | 224 | Mixed_5d | 151 | 8 | 62
inception_v4 | 224 | Mixed_5e | 183 | 8 | 78
inception_v4 | 224 | Mixed_6a | 215 | 16 | 86
inception_v4 | 224 | Mixed_6b | 407 | 16 | 182
inception_v4 | 224 | Mixed_6c | 599 | 16 | 278
inception_v4 | 224 | Mixed_6d | 791 | 16 | 374
inception_v4 | 224 | Mixed_6e | 983 | 16 | 470
inception_v4 | 224 | Mixed_6f | 1175 | 16 | 566
inception_v4 | 224 | Mixed_6g | 1367 | 16 | 662
inception_v4 | 224 | Mixed_6h | 1559 | 16 | 758
inception_v4 | 224 | Mixed_7a | 1687 | 32 | 806
inception_v4 | 224 | Mixed_7b | 1815 | 32 | 870
inception_v4 | 224 | Mixed_7c | 1943 | 32 | 934
inception_v4 | 224 | Mixed_7d | 2071 | 32 | 998
inception_v4 | 321 | Conv2d_1a_3x3 | 3 | 2 | 0
inception_v4 | 321 | Conv2d_2a_3x3 | 7 | 2 | 0
inception_v4 | 321 | Conv2d_2b_3x3 | 11 | 2 | 2
inception_v4 | 321 | Mixed_3a | 15 | 4 | 2
inception_v4 | 321 | Mixed_4a | 47 | 4 | 14
inception_v4 | 321 | Mixed_5a | 55 | 8 | 14
inception_v4 | 321 | Mixed_5b | 87 | 8 | 30
inception_v4 | 321 | Mixed_5c | 119 | 8 | 46
inception_v4 | 321 | Mixed_5d | 151 | 8 | 62
inception_v4 | 321 | Mixed_5e | 183 | 8 | 78
inception_v4 | 321 | Mixed_6a | 215 | 16 | 86
inception_v4 | 321 | Mixed_6b | 407 | 16 | 182
inception_v4 | 321 | Mixed_6c | 599 | 16 | 278
inception_v4 | 321 | Mixed_6d | 791 | 16 | 374
inception_v4 | 321 | Mixed_6e | 983 | 16 | 470
inception_v4 | 321 | Mixed_6f | 1175 | 16 | 566
inception_v4 | 321 | Mixed_6g | 1367 | 16 | 662
inception_v4 | 321 | Mixed_6h | 1559 | 16 | 758
inception_v4 | 321 | Mixed_7a | 1687 | 32 | 806
inception_v4 | 321 | Mixed_7b | 1815 | 32 | 870
inception_v4 | 321 | Mixed_7c | 1943 | 32 | 934
inception_v4 | 321 | Mixed_7d | 2071 | 32 | 998
inception_resnet_v2 | None | Conv2d_1a_3x3 | 3 | 2 | 0
inception_resnet_v2 | None | Conv2d_2a_3x3 | 7 | 2 | 0
inception_resnet_v2 | None | Conv2d_2b_3x3 | 11 | 2 | 2
inception_resnet_v2 | None | MaxPool_3a_3x3 | 15 | 4 | 2
inception_resnet_v2 | None | Conv2d_3b_1x1 | 15 | 4 | 2
inception_resnet_v2 | None | Conv2d_4a_3x3 | 23 | 4 | 2
inception_resnet_v2 | None | MaxPool_5a_3x3 | 31 | 8 | 2
inception_resnet_v2 | None | Mixed_5b | 63 | 8 | 18
inception_resnet_v2 | None | Mixed_6a | 415 | 16 | 186
inception_resnet_v2 | None | PreAuxLogits | 2335 | 16 | 1146
inception_resnet_v2 | None | Mixed_7a | 2399 | 32 | 1162
inception_resnet_v2 | None | Conv2d_7b_1x1 | 3039 | 32 | 1482
inception_resnet_v2 | 224 | Conv2d_1a_3x3 | 3 | 2 | 0
inception_resnet_v2 | 224 | Conv2d_2a_3x3 | 7 | 2 | 0
inception_resnet_v2 | 224 | Conv2d_2b_3x3 | 11 | 2 | 2
inception_resnet_v2 | 224 | MaxPool_3a_3x3 | 15 | 4 | 2
inception_resnet_v2 | 224 | Conv2d_3b_1x1 | 15 | 4 | 2
inception_resnet_v2 | 224 | Conv2d_4a_3x3 | 23 | 4 | 2
inception_resnet_v2 | 224 | MaxPool_5a_3x3 | 31 | 8 | 2
inception_resnet_v2 | 224 | Mixed_5b | 63 | 8 | 18
inception_resnet_v2 | 224 | Mixed_6a | 415 | 16 | 186
inception_resnet_v2 | 224 | PreAuxLogits | 2335 | 16 | 1146
inception_resnet_v2 | 224 | Mixed_7a | 2399 | 32 | 1162
inception_resnet_v2 | 224 | Conv2d_7b_1x1 | 3039 | 32 | 1482
inception_resnet_v2 | 321 | Conv2d_1a_3x3 | 3 | 2 | 0
inception_resnet_v2 | 321 | Conv2d_2a_3x3 | 7 | 2 | 0
inception_resnet_v2 | 321 | Conv2d_2b_3x3 | 11 | 2 | 2
inception_resnet_v2 | 321 | MaxPool_3a_3x3 | 15 | 4 | 2
inception_resnet_v2 | 321 | Conv2d_3b_1x1 | 15 | 4 | 2
inception_resnet_v2 | 321 | Conv2d_4a_3x3 | 23 | 4 | 2
inception_resnet_v2 | 321 | MaxPool_5a_3x3 | 31 | 8 | 2
inception_resnet_v2 | 321 | Mixed_5b | 63 | 8 | 18
inception_resnet_v2 | 321 | Mixed_6a | 415 | 16 | 186
inception_resnet_v2 | 321 | PreAuxLogits | 2335 | 16 | 1146
inception_resnet_v2 | 321 | Mixed_7a | 2399 | 32 | 1162
inception_resnet_v2 | 321 | Conv2d_7b_1x1 | 3039 | 32 | 1482
inception_resnet_v2-same | None | Conv2d_1a_3x3 | 3 | 2 | None
inception_resnet_v2-same | None | Conv2d_2a_3x3 | 7 | 2 | None
inception_resnet_v2-same | None | Conv2d_2b_3x3 | 11 | 2 | None
inception_resnet_v2-same | None | MaxPool_3a_3x3 | 15 | 4 | None
inception_resnet_v2-same | None | Conv2d_3b_1x1 | 15 | 4 | None
inception_resnet_v2-same | None | Conv2d_4a_3x3 | 23 | 4 | None
inception_resnet_v2-same | None | MaxPool_5a_3x3 | 31 | 8 | None
inception_resnet_v2-same | None | Mixed_5b | 63 | 8 | None
inception_resnet_v2-same | None | Mixed_6a | 415 | 16 | None
inception_resnet_v2-same | None | PreAuxLogits | 2335 | 16 | None
inception_resnet_v2-same | None | Mixed_7a | 2399 | 32 | None
inception_resnet_v2-same | None | Conv2d_7b_1x1 | 3039 | 32 | None
inception_resnet_v2-same | 224 | Conv2d_1a_3x3 | 3 | 2 | 0
inception_resnet_v2-same | 224 | Conv2d_2a_3x3 | 7 | 2 | 2
inception_resnet_v2-same | 224 | Conv2d_2b_3x3 | 11 | 2 | 4
inception_resnet_v2-same | 224 | MaxPool_3a_3x3 | 15 | 4 | 4
inception_resnet_v2-same | 224 | Conv2d_3b_1x1 | 15 | 4 | 4
inception_resnet_v2-same | 224 | Conv2d_4a_3x3 | 23 | 4 | 8
inception_resnet_v2-same | 224 | MaxPool_5a_3x3 | 31 | 8 | 8
inception_resnet_v2-same | 224 | Mixed_5b | 63 | 8 | 24
inception_resnet_v2-same | 224 | Mixed_6a | 415 | 16 | 192
inception_resnet_v2-same | 224 | PreAuxLogits | 2335 | 16 | 1152
inception_resnet_v2-same | 224 | Mixed_7a | 2399 | 32 | 1168
inception_resnet_v2-same | 224 | Conv2d_7b_1x1 | 3039 | 32 | 1488
inception_resnet_v2-same | 321 | Conv2d_1a_3x3 | 3 | 2 | 1
inception_resnet_v2-same | 321 | Conv2d_2a_3x3 | 7 | 2 | 3
inception_resnet_v2-same | 321 | Conv2d_2b_3x3 | 11 | 2 | 5
inception_resnet_v2-same | 321 | MaxPool_3a_3x3 | 15 | 4 | 7
inception_resnet_v2-same | 321 | Conv2d_3b_1x1 | 15 | 4 | 7
inception_resnet_v2-same | 321 | Conv2d_4a_3x3 | 23 | 4 | 11
inception_resnet_v2-same | 321 | MaxPool_5a_3x3 | 31 | 8 | 15
inception_resnet_v2-same | 321 | Mixed_5b | 63 | 8 | 31
inception_resnet_v2-same | 321 | Mixed_6a | 415 | 16 | 207
inception_resnet_v2-same | 321 | PreAuxLogits | 2335 | 16 | 1167
inception_resnet_v2-same | 321 | Mixed_7a | 2399 | 32 | 1199
inception_resnet_v2-same | 321 | Conv2d_7b_1x1 | 3039 | 32 | 1519
mobilenet_v1 | None | Conv2d_0 | 3 | 2 | None
mobilenet_v1 | None | Conv2d_1_pointwise | 7 | 2 | None
mobilenet_v1 | None | Conv2d_2_pointwise | 11 | 4 | None
mobilenet_v1 | None | Conv2d_3_pointwise | 19 | 4 | None
mobilenet_v1 | None | Conv2d_4_pointwise | 27 | 8 | None
mobilenet_v1 | None | Conv2d_5_pointwise | 43 | 8 | None
mobilenet_v1 | None | Conv2d_6_pointwise | 59 | 16 | None
mobilenet_v1 | None | Conv2d_7_pointwise | 91 | 16 | None
mobilenet_v1 | None | Conv2d_8_pointwise | 123 | 16 | None
mobilenet_v1 | None | Conv2d_9_pointwise | 155 | 16 | None
mobilenet_v1 | None | Conv2d_10_pointwise | 187 | 16 | None
mobilenet_v1 | None | Conv2d_11_pointwise | 219 | 16 | None
mobilenet_v1 | None | Conv2d_12_pointwise | 251 | 32 | None
mobilenet_v1 | None | Conv2d_13_pointwise | 315 | 32 | None
mobilenet_v1 | 224 | Conv2d_0 | 3 | 2 | 0
mobilenet_v1 | 224 | Conv2d_1_pointwise | 7 | 2 | 2
mobilenet_v1 | 224 | Conv2d_2_pointwise | 11 | 4 | 2
mobilenet_v1 | 224 | Conv2d_3_pointwise | 19 | 4 | 6
mobilenet_v1 | 224 | Conv2d_4_pointwise | 27 | 8 | 6
mobilenet_v1 | 224 | Conv2d_5_pointwise | 43 | 8 | 14
mobilenet_v1 | 224 | Conv2d_6_pointwise | 59 | 16 | 14
mobilenet_v1 | 224 | Conv2d_7_pointwise | 91 | 16 | 30
mobilenet_v1 | 224 | Conv2d_8_pointwise | 123 | 16 | 46
mobilenet_v1 | 224 | Conv2d_9_pointwise | 155 | 16 | 62
mobilenet_v1 | 224 | Conv2d_10_pointwise | 187 | 16 | 78
mobilenet_v1 | 224 | Conv2d_11_pointwise | 219 | 16 | 94
mobilenet_v1 | 224 | Conv2d_12_pointwise | 251 | 32 | 94
mobilenet_v1 | 224 | Conv2d_13_pointwise | 315 | 32 | 126
mobilenet_v1 | 321 | Conv2d_0 | 3 | 2 | 1
mobilenet_v1 | 321 | Conv2d_1_pointwise | 7 | 2 | 3
mobilenet_v1 | 321 | Conv2d_2_pointwise | 11 | 4 | 5
mobilenet_v1 | 321 | Conv2d_3_pointwise | 19 | 4 | 9
mobilenet_v1 | 321 | Conv2d_4_pointwise | 27 | 8 | 13
mobilenet_v1 | 321 | Conv2d_5_pointwise | 43 | 8 | 21
mobilenet_v1 | 321 | Conv2d_6_pointwise | 59 | 16 | 29
mobilenet_v1 | 321 | Conv2d_7_pointwise | 91 | 16 | 45
mobilenet_v1 | 321 | Conv2d_8_pointwise | 123 | 16 | 61
mobilenet_v1 | 321 | Conv2d_9_pointwise | 155 | 16 | 77
mobilenet_v1 | 321 | Conv2d_10_pointwise | 187 | 16 | 93
mobilenet_v1 | 321 | Conv2d_11_pointwise | 219 | 16 | 109
mobilenet_v1 | 321 | Conv2d_12_pointwise | 251 | 32 | 125
mobilenet_v1 | 321 | Conv2d_13_pointwise | 315 | 32 | 157
mobilenet_v1_075 | None | Conv2d_0 | 3 | 2 | None
mobilenet_v1_075 | None | Conv2d_1_pointwise | 7 | 2 | None
mobilenet_v1_075 | None | Conv2d_2_pointwise | 11 | 4 | None
mobilenet_v1_075 | None | Conv2d_3_pointwise | 19 | 4 | None
mobilenet_v1_075 | None | Conv2d_4_pointwise | 27 | 8 | None
mobilenet_v1_075 | None | Conv2d_5_pointwise | 43 | 8 | None
mobilenet_v1_075 | None | Conv2d_6_pointwise | 59 | 16 | None
mobilenet_v1_075 | None | Conv2d_7_pointwise | 91 | 16 | None
mobilenet_v1_075 | None | Conv2d_8_pointwise | 123 | 16 | None
mobilenet_v1_075 | None | Conv2d_9_pointwise | 155 | 16 | None
mobilenet_v1_075 | None | Conv2d_10_pointwise | 187 | 16 | None
mobilenet_v1_075 | None | Conv2d_11_pointwise | 219 | 16 | None
mobilenet_v1_075 | None | Conv2d_12_pointwise | 251 | 32 | None
mobilenet_v1_075 | None | Conv2d_13_pointwise | 315 | 32 | None
mobilenet_v1_075 | 224 | Conv2d_0 | 3 | 2 | 0
mobilenet_v1_075 | 224 | Conv2d_1_pointwise | 7 | 2 | 2
mobilenet_v1_075 | 224 | Conv2d_2_pointwise | 11 | 4 | 2
mobilenet_v1_075 | 224 | Conv2d_3_pointwise | 19 | 4 | 6
mobilenet_v1_075 | 224 | Conv2d_4_pointwise | 27 | 8 | 6
mobilenet_v1_075 | 224 | Conv2d_5_pointwise | 43 | 8 | 14
mobilenet_v1_075 | 224 | Conv2d_6_pointwise | 59 | 16 | 14
mobilenet_v1_075 | 224 | Conv2d_7_pointwise | 91 | 16 | 30
mobilenet_v1_075 | 224 | Conv2d_8_pointwise | 123 | 16 | 46
mobilenet_v1_075 | 224 | Conv2d_9_pointwise | 155 | 16 | 62
mobilenet_v1_075 | 224 | Conv2d_10_pointwise | 187 | 16 | 78
mobilenet_v1_075 | 224 | Conv2d_11_pointwise | 219 | 16 | 94
mobilenet_v1_075 | 224 | Conv2d_12_pointwise | 251 | 32 | 94
mobilenet_v1_075 | 224 | Conv2d_13_pointwise | 315 | 32 | 126
mobilenet_v1_075 | 321 | Conv2d_0 | 3 | 2 | 1
mobilenet_v1_075 | 321 | Conv2d_1_pointwise | 7 | 2 | 3
mobilenet_v1_075 | 321 | Conv2d_2_pointwise | 11 | 4 | 5
mobilenet_v1_075 | 321 | Conv2d_3_pointwise | 19 | 4 | 9
mobilenet_v1_075 | 321 | Conv2d_4_pointwise | 27 | 8 | 13
mobilenet_v1_075 | 321 | Conv2d_5_pointwise | 43 | 8 | 21
mobilenet_v1_075 | 321 | Conv2d_6_pointwise | 59 | 16 | 29
mobilenet_v1_075 | 321 | Conv2d_7_pointwise | 91 | 16 | 45
mobilenet_v1_075 | 321 | Conv2d_8_pointwise | 123 | 16 | 61
mobilenet_v1_075 | 321 | Conv2d_9_pointwise | 155 | 16 | 77
mobilenet_v1_075 | 321 | Conv2d_10_pointwise | 187 | 16 | 93
mobilenet_v1_075 | 321 | Conv2d_11_pointwise | 219 | 16 | 109
mobilenet_v1_075 | 321 | Conv2d_12_pointwise | 251 | 32 | 125
mobilenet_v1_075 | 321 | Conv2d_13_pointwise | 315 | 32 | 157
resnet_v1_50 | None | resnet_v1_50/block1 | 35 | 8 | None
resnet_v1_50 | None | resnet_v1_50/block2 | 99 | 16 | None
resnet_v1_50 | None | resnet_v1_50/block3 | 291 | 32 | None
resnet_v1_50 | None | resnet_v1_50/block4 | 483 | 32 | None
resnet_v1_50 | 224 | resnet_v1_50/block1 | 35 | 8 | 15
resnet_v1_50 | 224 | resnet_v1_50/block2 | 99 | 16 | 47
resnet_v1_50 | 224 | resnet_v1_50/block3 | 291 | 32 | 143
resnet_v1_50 | 224 | resnet_v1_50/block4 | 483 | 32 | 239
resnet_v1_50 | 321 | resnet_v1_50/block1 | 35 | 8 | 17
resnet_v1_50 | 321 | resnet_v1_50/block2 | 99 | 16 | 49
resnet_v1_50 | 321 | resnet_v1_50/block3 | 291 | 32 | 145
resnet_v1_50 | 321 | resnet_v1_50/block4 | 483 | 32 | 241
resnet_v1_101 | None | resnet_v1_101/block1 | 35 | 8 | None
resnet_v1_101 | None | resnet_v1_101/block2 | 99 | 16 | None
resnet_v1_101 | None | resnet_v1_101/block3 | 835 | 32 | None
resnet_v1_101 | None | resnet_v1_101/block4 | 1027 | 32 | None
resnet_v1_101 | 224 | resnet_v1_101/block1 | 35 | 8 | 15
resnet_v1_101 | 224 | resnet_v1_101/block2 | 99 | 16 | 47
resnet_v1_101 | 224 | resnet_v1_101/block3 | 835 | 32 | 415
resnet_v1_101 | 224 | resnet_v1_101/block4 | 1027 | 32 | 511
resnet_v1_101 | 321 | resnet_v1_101/block1 | 35 | 8 | 17
resnet_v1_101 | 321 | resnet_v1_101/block2 | 99 | 16 | 49
resnet_v1_101 | 321 | resnet_v1_101/block3 | 835 | 32 | 417
resnet_v1_101 | 321 | resnet_v1_101/block4 | 1027 | 32 | 513
resnet_v1_152 | None | resnet_v1_152/block1 | 35 | 8 | None
resnet_v1_152 | None | resnet_v1_152/block2 | 163 | 16 | None
resnet_v1_152 | None | resnet_v1_152/block3 | 1315 | 32 | None
resnet_v1_152 | None | resnet_v1_152/block4 | 1507 | 32 | None
resnet_v1_152 | 224 | resnet_v1_152/block1 | 35 | 8 | 15
resnet_v1_152 | 224 | resnet_v1_152/block2 | 163 | 16 | 79
resnet_v1_152 | 224 | resnet_v1_152/block3 | 1315 | 32 | 655
resnet_v1_152 | 224 | resnet_v1_152/block4 | 1507 | 32 | 751
resnet_v1_152 | 321 | resnet_v1_152/block1 | 35 | 8 | 17
resnet_v1_152 | 321 | resnet_v1_152/block2 | 163 | 16 | 81
resnet_v1_152 | 321 | resnet_v1_152/block3 | 1315 | 32 | 657
resnet_v1_152 | 321 | resnet_v1_152/block4 | 1507 | 32 | 753
resnet_v1_200 | None | resnet_v1_200/block1 | 35 | 8 | None
resnet_v1_200 | None | resnet_v1_200/block2 | 419 | 16 | None
resnet_v1_200 | None | resnet_v1_200/block3 | 1571 | 32 | None
resnet_v1_200 | None | resnet_v1_200/block4 | 1763 | 32 | None
resnet_v1_200 | 224 | resnet_v1_200/block1 | 35 | 8 | 15
resnet_v1_200 | 224 | resnet_v1_200/block2 | 419 | 16 | 207
resnet_v1_200 | 224 | resnet_v1_200/block3 | 1571 | 32 | 783
resnet_v1_200 | 224 | resnet_v1_200/block4 | 1763 | 32 | 879
resnet_v1_200 | 321 | resnet_v1_200/block1 | 35 | 8 | 17
resnet_v1_200 | 321 | resnet_v1_200/block2 | 419 | 16 | 209
resnet_v1_200 | 321 | resnet_v1_200/block3 | 1571 | 32 | 785
resnet_v1_200 | 321 | resnet_v1_200/block4 | 1763 | 32 | 881
resnet_v2_50 | None | resnet_v2_50/block1 | 35 | 8 | None
resnet_v2_50 | None | resnet_v2_50/block2 | 99 | 16 | None
resnet_v2_50 | None | resnet_v2_50/block3 | 291 | 32 | None
resnet_v2_50 | None | resnet_v2_50/block4 | 483 | 32 | None
resnet_v2_50 | 224 | resnet_v2_50/block1 | 35 | 8 | 15
resnet_v2_50 | 224 | resnet_v2_50/block2 | 99 | 16 | 47
resnet_v2_50 | 224 | resnet_v2_50/block3 | 291 | 32 | 143
resnet_v2_50 | 224 | resnet_v2_50/block4 | 483 | 32 | 239
resnet_v2_50 | 321 | resnet_v2_50/block1 | 35 | 8 | 17
resnet_v2_50 | 321 | resnet_v2_50/block2 | 99 | 16 | 49
resnet_v2_50 | 321 | resnet_v2_50/block3 | 291 | 32 | 145
resnet_v2_50 | 321 | resnet_v2_50/block4 | 483 | 32 | 241
resnet_v2_101 | None | resnet_v2_101/block1 | 35 | 8 | None
resnet_v2_101 | None | resnet_v2_101/block2 | 99 | 16 | None
resnet_v2_101 | None | resnet_v2_101/block3 | 835 | 32 | None
resnet_v2_101 | None | resnet_v2_101/block4 | 1027 | 32 | None
resnet_v2_101 | 224 | resnet_v2_101/block1 | 35 | 8 | 15
resnet_v2_101 | 224 | resnet_v2_101/block2 | 99 | 16 | 47
resnet_v2_101 | 224 | resnet_v2_101/block3 | 835 | 32 | 415
resnet_v2_101 | 224 | resnet_v2_101/block4 | 1027 | 32 | 511
resnet_v2_101 | 321 | resnet_v2_101/block1 | 35 | 8 | 17
resnet_v2_101 | 321 | resnet_v2_101/block2 | 99 | 16 | 49
resnet_v2_101 | 321 | resnet_v2_101/block3 | 835 | 32 | 417
resnet_v2_101 | 321 | resnet_v2_101/block4 | 1027 | 32 | 513
resnet_v2_152 | None | resnet_v2_152/block1 | 35 | 8 | None
resnet_v2_152 | None | resnet_v2_152/block2 | 163 | 16 | None
resnet_v2_152 | None | resnet_v2_152/block3 | 1315 | 32 | None
resnet_v2_152 | None | resnet_v2_152/block4 | 1507 | 32 | None
resnet_v2_152 | 224 | resnet_v2_152/block1 | 35 | 8 | 15
resnet_v2_152 | 224 | resnet_v2_152/block2 | 163 | 16 | 79
resnet_v2_152 | 224 | resnet_v2_152/block3 | 1315 | 32 | 655
resnet_v2_152 | 224 | resnet_v2_152/block4 | 1507 | 32 | 751
resnet_v2_152 | 321 | resnet_v2_152/block1 | 35 | 8 | 17
resnet_v2_152 | 321 | resnet_v2_152/block2 | 163 | 16 | 81
resnet_v2_152 | 321 | resnet_v2_152/block3 | 1315 | 32 | 657
resnet_v2_152 | 321 | resnet_v2_152/block4 | 1507 | 32 | 753
resnet_v2_200 | None | resnet_v2_200/block1 | 35 | 8 | None
resnet_v2_200 | None | resnet_v2_200/block2 | 419 | 16 | None
resnet_v2_200 | None | resnet_v2_200/block3 | 1571 | 32 | None
resnet_v2_200 | None | resnet_v2_200/block4 | 1763 | 32 | None
resnet_v2_200 | 224 | resnet_v2_200/block1 | 35 | 8 | 15
resnet_v2_200 | 224 | resnet_v2_200/block2 | 419 | 16 | 207
resnet_v2_200 | 224 | resnet_v2_200/block3 | 1571 | 32 | 783
resnet_v2_200 | 224 | resnet_v2_200/block4 | 1763 | 32 | 879
resnet_v2_200 | 321 | resnet_v2_200/block1 | 35 | 8 | 17
resnet_v2_200 | 321 | resnet_v2_200/block2 | 419 | 16 | 209
resnet_v2_200 | 321 | resnet_v2_200/block3 | 1571 | 32 | 785
resnet_v2_200 | 321 | resnet_v2_200/block4 | 1763 | 32 | 881
## FAQ
### What does a resolution of 'None' mean?
In this case, the input resolution is undefined. For most models, the receptive
field parameters can be computed even without knowing the input resolution.
### For some networks, effective_padding shows as 'None' (eg, for Inception_v2 or Mobilenet_v1 when input size is not specified). Why is that?
This means that the padding for these networks depends on the input size. So,
unless we know exactly the input image dimensionality to be used, it is not
possible to determine the padding applied at the different layers. Look at the
other entries where the input size is fixed; for those cases, effective_padding
is not None.
This happens due to Tensorflow's implementation of the 'SAME' padding mode,
which may depend on the input feature map size to a given layer. For background
on this, see [these notes from the TF
documentation](https://www.tensorflow.org/versions/master/api_guides/python/nn#Notes_on_SAME_Convolution_Padding).
Also, note that in this case the program is not able to check if the network is
aligned (ie, it could be that the different paths from input to output have
receptive fields which are not consistently centered at the same position in the
input image).
So you should be aware that such networks might not be aligned -- the program
has no way of checking it when the padding cannot be determined.
### The receptive field parameters for network X seem different from what I expected... maybe your calculation is incorrect?
First, note that the results presented here are based on the tensorflow
implementations from the [TF-Slim model
library](https://github.com/tensorflow/models/tree/master/research/slim).
So, it is possible that due to some implementation details the RF parameters are
different.
One common case of confusion is the TF-Slim Resnet implementation, which applies
stride in the last residual unit of each block, instead of at the input
activations in the first residual unit of each block (which is what is described
in the Resnet paper) -- see [this
comment](https://github.com/tensorflow/models/blob/master/research/slim/nets/resnet_utils.py#L30).
This makes the stride with respect to each convolution block potentially
different. In this case, though, note that a
[flag](https://github.com/tensorflow/models/blob/master/research/slim/nets/resnet_v1.py#L150)
may be used to recover the original striding convention.
Second, it could be that we have a bug somewhere. While we include [many
tests](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/contrib/receptive_field/python/util/receptive_field_test.py)
in our library, it is always possible that we missed something. If you suspect
this is happening, please file a GitHub issue
[here](https://github.com/tensorflow/tensorflow/issues).
|
