svhn_origin0-LR1-MLA6.json 9.0 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357
  1. {
  2. "edges": [
  3. [
  4. "Conv2D",
  5. "MaxPooling2D"
  6. ],
  7. [
  8. "MaxPooling2D",
  9. "UpSampling2D"
  10. ],
  11. [
  12. "UpSampling2D",
  13. "Flatten"
  14. ],
  15. [
  16. "Flatten",
  17. "Dense"
  18. ],
  19. [
  20. "Dense",
  21. "Reshape"
  22. ],
  23. [
  24. "Reshape",
  25. "Conv2D"
  26. ],
  27. [
  28. "Conv2D",
  29. "Activation"
  30. ],
  31. [
  32. "Activation",
  33. "MaxPooling2D"
  34. ],
  35. [
  36. "MaxPooling2D",
  37. "Flatten"
  38. ],
  39. [
  40. "Dense",
  41. "Dense"
  42. ]
  43. ],
  44. "layer_config": {
  45. "Conv2D": [
  46. {
  47. "trainable": true,
  48. "kernel_size": [
  49. 5,
  50. 5
  51. ],
  52. "strides": [
  53. 1,
  54. 1
  55. ],
  56. "padding": "valid",
  57. "data_format": "channels_last",
  58. "dilation_rate": [
  59. 1,
  60. 1
  61. ],
  62. "activation": "linear",
  63. "use_bias": false,
  64. "kernel_initializer": {
  65. "class_name": "VarianceScaling",
  66. "config": {
  67. "scale": 1.0,
  68. "mode": "fan_avg",
  69. "distribution": "uniform",
  70. "seed": null
  71. }
  72. },
  73. "bias_initializer": {
  74. "class_name": "Zeros",
  75. "config": {}
  76. },
  77. "kernel_regularizer": "None",
  78. "bias_regularizer": "None",
  79. "activity_regularizer": "None",
  80. "kernel_constraint": "None",
  81. "bias_constraint": "None"
  82. }
  83. ],
  84. "MaxPooling2D": [
  85. {
  86. "trainable": true,
  87. "pool_size": [
  88. 2,
  89. 2
  90. ],
  91. "padding": "valid",
  92. "strides": [
  93. 2,
  94. 2
  95. ],
  96. "data_format": "channels_last"
  97. }
  98. ],
  99. "UpSampling2D": [
  100. {
  101. "trainable": true,
  102. "size": [
  103. 2,
  104. 2
  105. ],
  106. "data_format": "channels_last",
  107. "interpolation": "nearest"
  108. }
  109. ],
  110. "Flatten": [
  111. {
  112. "trainable": true,
  113. "data_format": "channels_last"
  114. }
  115. ],
  116. "Dense": [
  117. {
  118. "trainable": true,
  119. "activation": "linear",
  120. "use_bias": true,
  121. "kernel_initializer": {
  122. "class_name": "VarianceScaling",
  123. "config": {
  124. "scale": 1.0,
  125. "mode": "fan_avg",
  126. "distribution": "uniform",
  127. "seed": null
  128. }
  129. },
  130. "bias_initializer": {
  131. "class_name": "Zeros",
  132. "config": {}
  133. },
  134. "kernel_regularizer": "None",
  135. "bias_regularizer": "None",
  136. "activity_regularizer": "None",
  137. "kernel_constraint": "None",
  138. "bias_constraint": "None"
  139. },
  140. {
  141. "trainable": true,
  142. "activation": "relu",
  143. "use_bias": true,
  144. "kernel_initializer": {
  145. "class_name": "VarianceScaling",
  146. "config": {
  147. "scale": 1.0,
  148. "mode": "fan_avg",
  149. "distribution": "uniform",
  150. "seed": null
  151. }
  152. },
  153. "bias_initializer": {
  154. "class_name": "Zeros",
  155. "config": {}
  156. },
  157. "kernel_regularizer": "None",
  158. "bias_regularizer": "None",
  159. "activity_regularizer": "None",
  160. "kernel_constraint": "None",
  161. "bias_constraint": "None"
  162. },
  163. {
  164. "trainable": true,
  165. "activation": "softmax",
  166. "use_bias": true,
  167. "kernel_initializer": {
  168. "class_name": "VarianceScaling",
  169. "config": {
  170. "scale": 1.0,
  171. "mode": "fan_avg",
  172. "distribution": "uniform",
  173. "seed": null
  174. }
  175. },
  176. "bias_initializer": {
  177. "class_name": "Zeros",
  178. "config": {}
  179. },
  180. "kernel_regularizer": "None",
  181. "bias_regularizer": "None",
  182. "activity_regularizer": "None",
  183. "kernel_constraint": "None",
  184. "bias_constraint": "None"
  185. }
  186. ],
  187. "Reshape": [
  188. {
  189. "trainable": true,
  190. "target_shape": [
  191. 14,
  192. 14,
  193. 6
  194. ]
  195. }
  196. ],
  197. "Activation": [
  198. {
  199. "trainable": true,
  200. "activation": "relu"
  201. }
  202. ]
  203. },
  204. "layer_input_info": {
  205. "Conv2D": {
  206. "input_dims": [
  207. 4
  208. ],
  209. "dtype": [
  210. "float32"
  211. ],
  212. "shape": [
  213. "[Dimension(None), Dimension(32), Dimension(32), Dimension(3)]",
  214. "[Dimension(None), Dimension(14), Dimension(14), Dimension(6)]"
  215. ]
  216. },
  217. "MaxPooling2D": {
  218. "input_dims": [
  219. 4
  220. ],
  221. "dtype": [
  222. "float32"
  223. ],
  224. "shape": [
  225. "[Dimension(None), Dimension(28), Dimension(28), Dimension(6)]",
  226. "[Dimension(None), Dimension(10), Dimension(10), Dimension(16)]"
  227. ]
  228. },
  229. "UpSampling2D": {
  230. "input_dims": [
  231. 4
  232. ],
  233. "dtype": [
  234. "float32"
  235. ],
  236. "shape": [
  237. "[Dimension(None), Dimension(14), Dimension(14), Dimension(6)]"
  238. ]
  239. },
  240. "Flatten": {
  241. "input_dims": [
  242. 4
  243. ],
  244. "dtype": [
  245. "float32"
  246. ],
  247. "shape": [
  248. "[Dimension(None), Dimension(28), Dimension(28), Dimension(6)]",
  249. "[Dimension(None), Dimension(5), Dimension(5), Dimension(16)]"
  250. ]
  251. },
  252. "Dense": {
  253. "input_dims": [
  254. 2
  255. ],
  256. "dtype": [
  257. "float32"
  258. ],
  259. "shape": [
  260. "[Dimension(None), Dimension(None)]",
  261. "[Dimension(None), Dimension(120)]",
  262. "[Dimension(None), Dimension(84)]"
  263. ]
  264. },
  265. "Reshape": {
  266. "input_dims": [
  267. 2
  268. ],
  269. "dtype": [
  270. "float32"
  271. ],
  272. "shape": [
  273. "[Dimension(None), Dimension(1176)]"
  274. ]
  275. },
  276. "Activation": {
  277. "input_dims": [
  278. 4
  279. ],
  280. "dtype": [
  281. "float32"
  282. ],
  283. "shape": [
  284. "[Dimension(None), Dimension(10), Dimension(10), Dimension(16)]"
  285. ]
  286. }
  287. },
  288. "layer_num": 13,
  289. "layer_type": [
  290. "Conv2D",
  291. "MaxPooling2D",
  292. "UpSampling2D",
  293. "Flatten",
  294. "Dense",
  295. "Reshape",
  296. "Activation"
  297. ],
  298. "cur_edge_num": 13,
  299. "layer_dims": {
  300. "Conv2D": {
  301. "input_dims": [
  302. 4
  303. ],
  304. "output_dims": [
  305. 4
  306. ]
  307. },
  308. "MaxPooling2D": {
  309. "input_dims": [
  310. 4
  311. ],
  312. "output_dims": [
  313. 4
  314. ]
  315. },
  316. "UpSampling2D": {
  317. "input_dims": [
  318. 4
  319. ],
  320. "output_dims": [
  321. 4
  322. ]
  323. },
  324. "Flatten": {
  325. "input_dims": [
  326. 4
  327. ],
  328. "output_dims": [
  329. 2
  330. ]
  331. },
  332. "Dense": {
  333. "input_dims": [
  334. 2
  335. ],
  336. "output_dims": [
  337. 2
  338. ]
  339. },
  340. "Reshape": {
  341. "input_dims": [
  342. 2
  343. ],
  344. "output_dims": [
  345. 4
  346. ]
  347. },
  348. "Activation": {
  349. "input_dims": [
  350. 4
  351. ],
  352. "output_dims": [
  353. 4
  354. ]
  355. }
  356. }
  357. }