svhn_origin0-ARep1-LA1.json 8.7 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335
  1. {
  2. "edges": [
  3. [
  4. "Conv2D",
  5. "Activation"
  6. ],
  7. [
  8. "Activation",
  9. "ThresholdedReLU"
  10. ],
  11. [
  12. "ThresholdedReLU",
  13. "MaxPooling2D"
  14. ],
  15. [
  16. "MaxPooling2D",
  17. "Conv2D"
  18. ],
  19. [
  20. "Activation",
  21. "MaxPooling2D"
  22. ],
  23. [
  24. "MaxPooling2D",
  25. "Flatten"
  26. ],
  27. [
  28. "Flatten",
  29. "Dense"
  30. ],
  31. [
  32. "Dense",
  33. "Dense"
  34. ]
  35. ],
  36. "layer_config": {
  37. "Conv2D": [
  38. {
  39. "trainable": true,
  40. "kernel_size": [
  41. 5,
  42. 5
  43. ],
  44. "strides": [
  45. 1,
  46. 1
  47. ],
  48. "padding": "valid",
  49. "data_format": "channels_last",
  50. "dilation_rate": [
  51. 1,
  52. 1
  53. ],
  54. "activation": "tanh",
  55. "use_bias": false,
  56. "kernel_initializer": {
  57. "class_name": "VarianceScaling",
  58. "config": {
  59. "scale": 1.0,
  60. "mode": "fan_avg",
  61. "distribution": "uniform",
  62. "seed": null
  63. }
  64. },
  65. "bias_initializer": {
  66. "class_name": "Zeros",
  67. "config": {}
  68. },
  69. "kernel_regularizer": "None",
  70. "bias_regularizer": "None",
  71. "activity_regularizer": "None",
  72. "kernel_constraint": "None",
  73. "bias_constraint": "None"
  74. },
  75. {
  76. "trainable": true,
  77. "kernel_size": [
  78. 5,
  79. 5
  80. ],
  81. "strides": [
  82. 1,
  83. 1
  84. ],
  85. "padding": "valid",
  86. "data_format": "channels_last",
  87. "dilation_rate": [
  88. 1,
  89. 1
  90. ],
  91. "activation": "linear",
  92. "use_bias": false,
  93. "kernel_initializer": {
  94. "class_name": "VarianceScaling",
  95. "config": {
  96. "scale": 1.0,
  97. "mode": "fan_avg",
  98. "distribution": "uniform",
  99. "seed": null
  100. }
  101. },
  102. "bias_initializer": {
  103. "class_name": "Zeros",
  104. "config": {}
  105. },
  106. "kernel_regularizer": "None",
  107. "bias_regularizer": "None",
  108. "activity_regularizer": "None",
  109. "kernel_constraint": "None",
  110. "bias_constraint": "None"
  111. }
  112. ],
  113. "Activation": [
  114. {
  115. "trainable": true,
  116. "activation": "relu"
  117. }
  118. ],
  119. "ThresholdedReLU": [
  120. {
  121. "trainable": true,
  122. "batch_input_shape": [
  123. null,
  124. 28,
  125. 28,
  126. 6
  127. ],
  128. "dtype": "float32",
  129. "theta": 1.0
  130. }
  131. ],
  132. "MaxPooling2D": [
  133. {
  134. "trainable": true,
  135. "pool_size": [
  136. 2,
  137. 2
  138. ],
  139. "padding": "valid",
  140. "strides": [
  141. 2,
  142. 2
  143. ],
  144. "data_format": "channels_last"
  145. }
  146. ],
  147. "Flatten": [
  148. {
  149. "trainable": true,
  150. "data_format": "channels_last"
  151. }
  152. ],
  153. "Dense": [
  154. {
  155. "trainable": true,
  156. "activation": "relu",
  157. "use_bias": true,
  158. "kernel_initializer": {
  159. "class_name": "VarianceScaling",
  160. "config": {
  161. "scale": 1.0,
  162. "mode": "fan_avg",
  163. "distribution": "uniform",
  164. "seed": null
  165. }
  166. },
  167. "bias_initializer": {
  168. "class_name": "Zeros",
  169. "config": {}
  170. },
  171. "kernel_regularizer": "None",
  172. "bias_regularizer": "None",
  173. "activity_regularizer": "None",
  174. "kernel_constraint": "None",
  175. "bias_constraint": "None"
  176. },
  177. {
  178. "trainable": true,
  179. "activation": "softmax",
  180. "use_bias": true,
  181. "kernel_initializer": {
  182. "class_name": "VarianceScaling",
  183. "config": {
  184. "scale": 1.0,
  185. "mode": "fan_avg",
  186. "distribution": "uniform",
  187. "seed": null
  188. }
  189. },
  190. "bias_initializer": {
  191. "class_name": "Zeros",
  192. "config": {}
  193. },
  194. "kernel_regularizer": "None",
  195. "bias_regularizer": "None",
  196. "activity_regularizer": "None",
  197. "kernel_constraint": "None",
  198. "bias_constraint": "None"
  199. }
  200. ]
  201. },
  202. "layer_input_info": {
  203. "Conv2D": {
  204. "input_dims": [
  205. 4
  206. ],
  207. "dtype": [
  208. "float32"
  209. ],
  210. "shape": [
  211. "[Dimension(None), Dimension(32), Dimension(32), Dimension(3)]",
  212. "[Dimension(None), Dimension(14), Dimension(14), Dimension(6)]"
  213. ]
  214. },
  215. "Activation": {
  216. "input_dims": [
  217. 4
  218. ],
  219. "dtype": [
  220. "float32"
  221. ],
  222. "shape": [
  223. "[Dimension(None), Dimension(28), Dimension(28), Dimension(6)]",
  224. "[Dimension(None), Dimension(10), Dimension(10), Dimension(16)]"
  225. ]
  226. },
  227. "ThresholdedReLU": {
  228. "input_dims": [
  229. 4
  230. ],
  231. "dtype": [
  232. "float32"
  233. ],
  234. "shape": [
  235. "[Dimension(None), Dimension(28), Dimension(28), Dimension(6)]"
  236. ]
  237. },
  238. "MaxPooling2D": {
  239. "input_dims": [
  240. 4
  241. ],
  242. "dtype": [
  243. "float32"
  244. ],
  245. "shape": [
  246. "[Dimension(None), Dimension(28), Dimension(28), Dimension(6)]",
  247. "[Dimension(None), Dimension(10), Dimension(10), Dimension(16)]"
  248. ]
  249. },
  250. "Flatten": {
  251. "input_dims": [
  252. 4
  253. ],
  254. "dtype": [
  255. "float32"
  256. ],
  257. "shape": [
  258. "[Dimension(None), Dimension(5), Dimension(5), Dimension(16)]"
  259. ]
  260. },
  261. "Dense": {
  262. "input_dims": [
  263. 2
  264. ],
  265. "dtype": [
  266. "float32"
  267. ],
  268. "shape": [
  269. "[Dimension(None), Dimension(None)]",
  270. "[Dimension(None), Dimension(120)]",
  271. "[Dimension(None), Dimension(84)]"
  272. ]
  273. }
  274. },
  275. "layer_num": 11,
  276. "layer_type": [
  277. "Conv2D",
  278. "Activation",
  279. "ThresholdedReLU",
  280. "MaxPooling2D",
  281. "Flatten",
  282. "Dense"
  283. ],
  284. "cur_edge_num": 11,
  285. "layer_dims": {
  286. "Conv2D": {
  287. "input_dims": [
  288. 4
  289. ],
  290. "output_dims": [
  291. 4
  292. ]
  293. },
  294. "Activation": {
  295. "input_dims": [
  296. 4
  297. ],
  298. "output_dims": [
  299. 4
  300. ]
  301. },
  302. "ThresholdedReLU": {
  303. "input_dims": [
  304. 4
  305. ],
  306. "output_dims": [
  307. 4
  308. ]
  309. },
  310. "MaxPooling2D": {
  311. "input_dims": [
  312. 4
  313. ],
  314. "output_dims": [
  315. 4
  316. ]
  317. },
  318. "Flatten": {
  319. "input_dims": [
  320. 4
  321. ],
  322. "output_dims": [
  323. 2
  324. ]
  325. },
  326. "Dense": {
  327. "input_dims": [
  328. 2
  329. ],
  330. "output_dims": [
  331. 2
  332. ]
  333. }
  334. }
  335. }