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  1. Deeplearning4j OOM Exception Encountered for ComputationGraph
  2. Timestamp: 2018-12-19 11:44:25.529
  3. Thread ID 1
  4. Thread Name main
  5.  
  6.  
  7. Stack Trace:
  8. java.lang.OutOfMemoryError: Cannot allocate new LongPointer(9): totalBytes = 1040M, physicalBytes = 29938M
  9. at org.bytedeco.javacpp.LongPointer.<init>(LongPointer.java:76)
  10. at org.nd4j.linalg.cpu.nativecpu.ops.NativeOpExecutioner.exec(NativeOpExecutioner.java:1815)
  11. at org.nd4j.linalg.convolution.Convolution.im2col(Convolution.java:211)
  12. at org.deeplearning4j.nn.layers.convolution.ConvolutionLayer.preOutput(ConvolutionLayer.java:367)
  13. at org.deeplearning4j.nn.layers.convolution.ConvolutionLayer.activate(ConvolutionLayer.java:411)
  14. at org.deeplearning4j.nn.graph.vertex.impl.LayerVertex.doForward(LayerVertex.java:110)
  15. at org.deeplearning4j.nn.graph.ComputationGraph.ffToLayerActivationsInWS(ComputationGraph.java:2080)
  16. at org.deeplearning4j.nn.graph.ComputationGraph.computeGradientAndScore(ComputationGraph.java:1360)
  17. at org.deeplearning4j.nn.graph.ComputationGraph.computeGradientAndScore(ComputationGraph.java:1329)
  18. at org.deeplearning4j.optimize.solvers.BaseOptimizer.gradientAndScore(BaseOptimizer.java:160)
  19. at org.deeplearning4j.optimize.solvers.StochasticGradientDescent.optimize(StochasticGradientDescent.java:63)
  20. at org.deeplearning4j.optimize.Solver.optimize(Solver.java:52)
  21. at org.deeplearning4j.nn.graph.ComputationGraph.fitHelper(ComputationGraph.java:1149)
  22. at org.deeplearning4j.nn.graph.ComputationGraph.fit(ComputationGraph.java:1098)
  23. at org.deeplearning4j.nn.graph.ComputationGraph.fit(ComputationGraph.java:1085)
  24. at org.deeplearning4j.nn.graph.ComputationGraph.fit(ComputationGraph.java:965)
  25. at com.pcng.atrain.common.dl4j.TransferLearningDetector.main(TransferLearningDetector.java:145)
  26. Caused by: java.lang.OutOfMemoryError: Physical memory usage is too high: physicalBytes (29938M) > maxPhysicalBytes (29696M)
  27. at org.bytedeco.javacpp.Pointer.deallocator(Pointer.java:584)
  28. at org.bytedeco.javacpp.Pointer.init(Pointer.java:124)
  29. at org.bytedeco.javacpp.LongPointer.allocateArray(Native Method)
  30. at org.bytedeco.javacpp.LongPointer.<init>(LongPointer.java:68)
  31. ... 16 more
  32.  
  33.  
  34. ========== Memory Information ==========
  35. ----- Version Information -----
  36. Deeplearning4j Version 1.0.0-beta3
  37. Deeplearning4j CUDA <not present>
  38.  
  39. ----- System Information -----
  40. Operating System GNU/Linux CentOS Linux 7
  41. CPU AMD A8-7650K Radeon R7, 10 Compute Cores 4C+6G
  42. CPU Cores - Physical 2
  43. CPU Cores - Logical 4
  44. Total System Memory 30.32 GB (32552964096)
  45.  
  46. ----- ND4J Environment Information -----
  47. Data Type FLOAT
  48. backend CPU
  49. blas.vendor MKL
  50. os Linux
  51.  
  52. ----- Memory Configuration -----
  53. JVM Memory: XMX 910.50 MB (954728448)
  54. JVM Memory: current 601 MB (630194176)
  55. JavaCPP Memory: Max Bytes 29 GB (31138512896)
  56. JavaCPP Memory: Max Physical 29 GB (31138512896)
  57. JavaCPP Memory: Current Bytes 1.02 GB (1091501677)
  58. JavaCPP Memory: Current Physical 29.29 GB (31449874432)
  59. Periodic GC Enabled false
  60.  
  61. ----- Workspace Information -----
  62. Workspaces: # for current thread 4
  63. Current thread workspaces:
  64. Name State Size # Cycles
  65. WS_LAYER_WORKING_MEM CLOSED 4.38 GB (4700160000) 153
  66. WS_ALL_LAYERS_ACT CLOSED 24.44 GB (26241184048) 4
  67. WS_LAYER_ACT_0 CLOSED 0 B 1
  68. WS_LAYER_ACT_1 CLOSED 0 B 1
  69. Workspaces total size 28.82 GB (30941344048)
  70.  
  71. ----- Network Information -----
  72. Network # Parameters 51065561
  73. Parameter Memory 194.80 MB (204262244)
  74. Parameter Gradients Memory 194.80 MB (204262244)
  75. Updater Number of Elements 1035250
  76. Updater Memory 3.95 MB (4141000)
  77. Updater Classes:
  78. org.nd4j.linalg.learning.AdamUpdater
  79. org.nd4j.linalg.learning.NoOpUpdater
  80. Params + Gradient + Updater Memory 198.75 MB (208403244)
  81. Iteration Count 1
  82. Epoch Count 0
  83. Backprop Type Standard
  84. Workspace Mode: Training ENABLED
  85. Workspace Mode: Inference ENABLED
  86. Number of Layers 74
  87. Layer Counts
  88. ConvolutionLayer 1
  89. FrozenLayer 72
  90. Yolo2OutputLayer 1
  91. Layer Parameter Breakdown
  92. Idx Name Layer Type Layer # Parameters Layer Parameter Memory
  93. 1 conv2d_1 FrozenLayer 864 3.38 KB (3456)
  94. 2 batch_normalization_1 FrozenLayer 128 512 B
  95. 3 leaky_re_lu_1 FrozenLayer 0 0 B
  96. 4 max_pooling2d_1 FrozenLayer 0 0 B
  97. 5 conv2d_2 FrozenLayer 18432 72 KB (73728)
  98. 6 batch_normalization_2 FrozenLayer 256 1 KB (1024)
  99. 7 leaky_re_lu_2 FrozenLayer 0 0 B
  100. 8 max_pooling2d_2 FrozenLayer 0 0 B
  101. 9 conv2d_3 FrozenLayer 73728 288 KB (294912)
  102. 10 batch_normalization_3 FrozenLayer 512 2 KB (2048)
  103. 11 leaky_re_lu_3 FrozenLayer 0 0 B
  104. 12 conv2d_4 FrozenLayer 8192 32 KB (32768)
  105. 13 batch_normalization_4 FrozenLayer 256 1 KB (1024)
  106. 14 leaky_re_lu_4 FrozenLayer 0 0 B
  107. 15 conv2d_5 FrozenLayer 73728 288 KB (294912)
  108. 16 batch_normalization_5 FrozenLayer 512 2 KB (2048)
  109. 17 leaky_re_lu_5 FrozenLayer 0 0 B
  110. 18 max_pooling2d_3 FrozenLayer 0 0 B
  111. 19 conv2d_6 FrozenLayer 294912 1.13 MB (1179648)
  112. 20 batch_normalization_6 FrozenLayer 1024 4 KB (4096)
  113. 21 leaky_re_lu_6 FrozenLayer 0 0 B
  114. 22 conv2d_7 FrozenLayer 32768 128 KB (131072)
  115. 23 batch_normalization_7 FrozenLayer 512 2 KB (2048)
  116. 24 leaky_re_lu_7 FrozenLayer 0 0 B
  117. 25 conv2d_8 FrozenLayer 294912 1.13 MB (1179648)
  118. 26 batch_normalization_8 FrozenLayer 1024 4 KB (4096)
  119. 27 leaky_re_lu_8 FrozenLayer 0 0 B
  120. 28 max_pooling2d_4 FrozenLayer 0 0 B
  121. 29 conv2d_9 FrozenLayer 1179648 4.50 MB (4718592)
  122. 30 batch_normalization_9 FrozenLayer 2048 8 KB (8192)
  123. 31 leaky_re_lu_9 FrozenLayer 0 0 B
  124. 32 conv2d_10 FrozenLayer 131072 512 KB (524288)
  125. 33 batch_normalization_10 FrozenLayer 1024 4 KB (4096)
  126. 34 leaky_re_lu_10 FrozenLayer 0 0 B
  127. 35 conv2d_11 FrozenLayer 1179648 4.50 MB (4718592)
  128. 36 batch_normalization_11 FrozenLayer 2048 8 KB (8192)
  129. 37 leaky_re_lu_11 FrozenLayer 0 0 B
  130. 38 conv2d_12 FrozenLayer 131072 512 KB (524288)
  131. 39 batch_normalization_12 FrozenLayer 1024 4 KB (4096)
  132. 40 leaky_re_lu_12 FrozenLayer 0 0 B
  133. 41 conv2d_13 FrozenLayer 1179648 4.50 MB (4718592)
  134. 42 batch_normalization_13 FrozenLayer 2048 8 KB (8192)
  135. 43 leaky_re_lu_13 FrozenLayer 0 0 B
  136. 44 max_pooling2d_5 FrozenLayer 0 0 B
  137. 45 conv2d_14 FrozenLayer 4718592 18 MB (18874368)
  138. 46 batch_normalization_14 FrozenLayer 4096 16 KB (16384)
  139. 47 leaky_re_lu_14 FrozenLayer 0 0 B
  140. 48 conv2d_15 FrozenLayer 524288 2 MB (2097152)
  141. 49 batch_normalization_15 FrozenLayer 2048 8 KB (8192)
  142. 50 leaky_re_lu_15 FrozenLayer 0 0 B
  143. 51 conv2d_16 FrozenLayer 4718592 18 MB (18874368)
  144. 52 batch_normalization_16 FrozenLayer 4096 16 KB (16384)
  145. 53 leaky_re_lu_16 FrozenLayer 0 0 B
  146. 54 conv2d_17 FrozenLayer 524288 2 MB (2097152)
  147. 55 batch_normalization_17 FrozenLayer 2048 8 KB (8192)
  148. 56 leaky_re_lu_17 FrozenLayer 0 0 B
  149. 57 conv2d_18 FrozenLayer 4718592 18 MB (18874368)
  150. 58 batch_normalization_18 FrozenLayer 4096 16 KB (16384)
  151. 59 leaky_re_lu_18 FrozenLayer 0 0 B
  152. 60 conv2d_19 FrozenLayer 9437184 36 MB (37748736)
  153. 61 batch_normalization_19 FrozenLayer 4096 16 KB (16384)
  154. 62 conv2d_21 FrozenLayer 32768 128 KB (131072)
  155. 63 leaky_re_lu_19 FrozenLayer 0 0 B
  156. 64 batch_normalization_21 FrozenLayer 256 1 KB (1024)
  157. 65 conv2d_20 FrozenLayer 9437184 36 MB (37748736)
  158. 66 leaky_re_lu_21 FrozenLayer 0 0 B
  159. 67 batch_normalization_20 FrozenLayer 4096 16 KB (16384)
  160. 68 space_to_depth_x2 FrozenLayer 0 0 B
  161. 69 leaky_re_lu_20 FrozenLayer 0 0 B
  162. 71 conv2d_22 FrozenLayer 11796480 45 MB (47185920)
  163. 72 batch_normalization_22 FrozenLayer 4096 16 KB (16384)
  164. 73 leaky_re_lu_22 FrozenLayer 0 0 B
  165. 74 convolution2d_23 ConvolutionLayer 517625 1.97 MB (2070500)
  166. 75 outputs Yolo2OutputLayer 0 0 B
  167.  
  168. ----- Layer Helpers - Memory Use -----
  169. Total Helper Count 0
  170. Helper Count w/ Memory 0
  171. Total Helper Persistent Memory Use 0 B
  172.  
  173. ----- Network Activations: Inferred Activation Shapes -----
  174. Current Minibatch Size 25
  175. Current Input Shape (Input 0) [25, 3, 800, 800]
  176. Idx Name Layer Type Activations Type Activations Shape # Elements Memory
  177. 0 input_1 InputVertex InputTypeConvolutional(h=800,w=800,c=3) [25, 3, 800, 800] 48000000 183.11 MB (192000000)
  178. 1 conv2d_1 FrozenLayer InputTypeConvolutional(h=800,w=800,c=32) [25, 32, 800, 800] 512000000 1.91 GB (2048000000)
  179. 2 batch_normalization_1 FrozenLayer InputTypeConvolutional(h=800,w=800,c=32) [25, 32, 800, 800] 512000000 1.91 GB (2048000000)
  180. 3 leaky_re_lu_1 FrozenLayer InputTypeConvolutional(h=800,w=800,c=32) [25, 32, 800, 800] 512000000 1.91 GB (2048000000)
  181. 4 max_pooling2d_1 FrozenLayer InputTypeConvolutional(h=400,w=400,c=32) [25, 32, 400, 400] 128000000 488.28 MB (512000000)
  182. 5 conv2d_2 FrozenLayer InputTypeConvolutional(h=400,w=400,c=64) [25, 64, 400, 400] 256000000 976.56 MB (1024000000)
  183. 6 batch_normalization_2 FrozenLayer InputTypeConvolutional(h=400,w=400,c=64) [25, 64, 400, 400] 256000000 976.56 MB (1024000000)
  184. 7 leaky_re_lu_2 FrozenLayer InputTypeConvolutional(h=400,w=400,c=64) [25, 64, 400, 400] 256000000 976.56 MB (1024000000)
  185. 8 max_pooling2d_2 FrozenLayer InputTypeConvolutional(h=200,w=200,c=64) [25, 64, 200, 200] 64000000 244.14 MB (256000000)
  186. 9 conv2d_3 FrozenLayer InputTypeConvolutional(h=200,w=200,c=128) [25, 128, 200, 200] 128000000 488.28 MB (512000000)
  187. 10 batch_normalization_3 FrozenLayer InputTypeConvolutional(h=200,w=200,c=128) [25, 128, 200, 200] 128000000 488.28 MB (512000000)
  188. 11 leaky_re_lu_3 FrozenLayer InputTypeConvolutional(h=200,w=200,c=128) [25, 128, 200, 200] 128000000 488.28 MB (512000000)
  189. 12 conv2d_4 FrozenLayer InputTypeConvolutional(h=200,w=200,c=64) [25, 64, 200, 200] 64000000 244.14 MB (256000000)
  190. 13 batch_normalization_4 FrozenLayer InputTypeConvolutional(h=200,w=200,c=64) [25, 64, 200, 200] 64000000 244.14 MB (256000000)
  191. 14 leaky_re_lu_4 FrozenLayer InputTypeConvolutional(h=200,w=200,c=64) [25, 64, 200, 200] 64000000 244.14 MB (256000000)
  192. 15 conv2d_5 FrozenLayer InputTypeConvolutional(h=200,w=200,c=128) [25, 128, 200, 200] 128000000 488.28 MB (512000000)
  193. 16 batch_normalization_5 FrozenLayer InputTypeConvolutional(h=200,w=200,c=128) [25, 128, 200, 200] 128000000 488.28 MB (512000000)
  194. 17 leaky_re_lu_5 FrozenLayer InputTypeConvolutional(h=200,w=200,c=128) [25, 128, 200, 200] 128000000 488.28 MB (512000000)
  195. 18 max_pooling2d_3 FrozenLayer InputTypeConvolutional(h=100,w=100,c=128) [25, 128, 100, 100] 32000000 122.07 MB (128000000)
  196. 19 conv2d_6 FrozenLayer InputTypeConvolutional(h=100,w=100,c=256) [25, 256, 100, 100] 64000000 244.14 MB (256000000)
  197. 20 batch_normalization_6 FrozenLayer InputTypeConvolutional(h=100,w=100,c=256) [25, 256, 100, 100] 64000000 244.14 MB (256000000)
  198. 21 leaky_re_lu_6 FrozenLayer InputTypeConvolutional(h=100,w=100,c=256) [25, 256, 100, 100] 64000000 244.14 MB (256000000)
  199. 22 conv2d_7 FrozenLayer InputTypeConvolutional(h=100,w=100,c=128) [25, 128, 100, 100] 32000000 122.07 MB (128000000)
  200. 23 batch_normalization_7 FrozenLayer InputTypeConvolutional(h=100,w=100,c=128) [25, 128, 100, 100] 32000000 122.07 MB (128000000)
  201. 24 leaky_re_lu_7 FrozenLayer InputTypeConvolutional(h=100,w=100,c=128) [25, 128, 100, 100] 32000000 122.07 MB (128000000)
  202. 25 conv2d_8 FrozenLayer InputTypeConvolutional(h=100,w=100,c=256) [25, 256, 100, 100] 64000000 244.14 MB (256000000)
  203. 26 batch_normalization_8 FrozenLayer InputTypeConvolutional(h=100,w=100,c=256) [25, 256, 100, 100] 64000000 244.14 MB (256000000)
  204. 27 leaky_re_lu_8 FrozenLayer InputTypeConvolutional(h=100,w=100,c=256) [25, 256, 100, 100] 64000000 244.14 MB (256000000)
  205. 28 max_pooling2d_4 FrozenLayer InputTypeConvolutional(h=50,w=50,c=256) [25, 256, 50, 50] 16000000 61.04 MB (64000000)
  206. 29 conv2d_9 FrozenLayer InputTypeConvolutional(h=50,w=50,c=512) [25, 512, 50, 50] 32000000 122.07 MB (128000000)
  207. 30 batch_normalization_9 FrozenLayer InputTypeConvolutional(h=50,w=50,c=512) [25, 512, 50, 50] 32000000 122.07 MB (128000000)
  208. 31 leaky_re_lu_9 FrozenLayer InputTypeConvolutional(h=50,w=50,c=512) [25, 512, 50, 50] 32000000 122.07 MB (128000000)
  209. 32 conv2d_10 FrozenLayer InputTypeConvolutional(h=50,w=50,c=256) [25, 256, 50, 50] 16000000 61.04 MB (64000000)
  210. 33 batch_normalization_10 FrozenLayer InputTypeConvolutional(h=50,w=50,c=256) [25, 256, 50, 50] 16000000 61.04 MB (64000000)
  211. 34 leaky_re_lu_10 FrozenLayer InputTypeConvolutional(h=50,w=50,c=256) [25, 256, 50, 50] 16000000 61.04 MB (64000000)
  212. 35 conv2d_11 FrozenLayer InputTypeConvolutional(h=50,w=50,c=512) [25, 512, 50, 50] 32000000 122.07 MB (128000000)
  213. 36 batch_normalization_11 FrozenLayer InputTypeConvolutional(h=50,w=50,c=512) [25, 512, 50, 50] 32000000 122.07 MB (128000000)
  214. 37 leaky_re_lu_11 FrozenLayer InputTypeConvolutional(h=50,w=50,c=512) [25, 512, 50, 50] 32000000 122.07 MB (128000000)
  215. 38 conv2d_12 FrozenLayer InputTypeConvolutional(h=50,w=50,c=256) [25, 256, 50, 50] 16000000 61.04 MB (64000000)
  216. 39 batch_normalization_12 FrozenLayer InputTypeConvolutional(h=50,w=50,c=256) [25, 256, 50, 50] 16000000 61.04 MB (64000000)
  217. 40 leaky_re_lu_12 FrozenLayer InputTypeConvolutional(h=50,w=50,c=256) [25, 256, 50, 50] 16000000 61.04 MB (64000000)
  218. 41 conv2d_13 FrozenLayer InputTypeConvolutional(h=50,w=50,c=512) [25, 512, 50, 50] 32000000 122.07 MB (128000000)
  219. 42 batch_normalization_13 FrozenLayer InputTypeConvolutional(h=50,w=50,c=512) [25, 512, 50, 50] 32000000 122.07 MB (128000000)
  220. 43 leaky_re_lu_13 FrozenLayer InputTypeConvolutional(h=50,w=50,c=512) [25, 512, 50, 50] 32000000 122.07 MB (128000000)
  221. 44 max_pooling2d_5 FrozenLayer InputTypeConvolutional(h=25,w=25,c=512) [25, 512, 25, 25] 8000000 30.52 MB (32000000)
  222. 45 conv2d_14 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  223. 46 batch_normalization_14 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  224. 47 leaky_re_lu_14 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  225. 48 conv2d_15 FrozenLayer InputTypeConvolutional(h=25,w=25,c=512) [25, 512, 25, 25] 8000000 30.52 MB (32000000)
  226. 49 batch_normalization_15 FrozenLayer InputTypeConvolutional(h=25,w=25,c=512) [25, 512, 25, 25] 8000000 30.52 MB (32000000)
  227. 50 leaky_re_lu_15 FrozenLayer InputTypeConvolutional(h=25,w=25,c=512) [25, 512, 25, 25] 8000000 30.52 MB (32000000)
  228. 51 conv2d_16 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  229. 52 batch_normalization_16 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  230. 53 leaky_re_lu_16 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  231. 54 conv2d_17 FrozenLayer InputTypeConvolutional(h=25,w=25,c=512) [25, 512, 25, 25] 8000000 30.52 MB (32000000)
  232. 55 batch_normalization_17 FrozenLayer InputTypeConvolutional(h=25,w=25,c=512) [25, 512, 25, 25] 8000000 30.52 MB (32000000)
  233. 56 leaky_re_lu_17 FrozenLayer InputTypeConvolutional(h=25,w=25,c=512) [25, 512, 25, 25] 8000000 30.52 MB (32000000)
  234. 57 conv2d_18 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  235. 58 batch_normalization_18 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  236. 59 leaky_re_lu_18 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  237. 60 conv2d_19 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  238. 61 batch_normalization_19 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  239. 62 conv2d_21 FrozenLayer InputTypeConvolutional(h=50,w=50,c=64) [25, 64, 50, 50] 4000000 15.26 MB (16000000)
  240. 63 leaky_re_lu_19 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  241. 64 batch_normalization_21 FrozenLayer InputTypeConvolutional(h=50,w=50,c=64) [25, 64, 50, 50] 4000000 15.26 MB (16000000)
  242. 65 conv2d_20 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  243. 66 leaky_re_lu_21 FrozenLayer InputTypeConvolutional(h=50,w=50,c=64) [25, 64, 50, 50] 4000000 15.26 MB (16000000)
  244. 67 batch_normalization_20 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  245. 68 space_to_depth_x2 FrozenLayer InputTypeConvolutional(h=25,w=25,c=256) [25, 256, 25, 25] 4000000 15.26 MB (16000000)
  246. 69 leaky_re_lu_20 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  247. 70 concatenate_1 MergeVertex InputTypeConvolutional(h=25,w=25,c=1280) [25, 1280, 25, 25] 20000000 76.29 MB (80000000)
  248. 71 conv2d_22 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  249. 72 batch_normalization_22 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  250. 73 leaky_re_lu_22 FrozenLayer InputTypeConvolutional(h=25,w=25,c=1024) [25, 1024, 25, 25] 16000000 61.04 MB (64000000)
  251. 74 convolution2d_23 ConvolutionLayer InputTypeConvolutional(h=25,w=25,c=505) [25, 505, 25, 25] 7890625 30.10 MB (31562500)
  252. 75 outputs Yolo2OutputLayer InputTypeConvolutional(h=25,w=25,c=505) [25, 505, 25, 25] 7890625 30.10 MB (31562500)
  253. Total Activations Memory 17.93 GB (19247125000)
  254. Total Activation Gradient Memory 17.90 GB (19215562500)
  255.  
  256. ----- Network Training Listeners -----
  257. Number of Listeners 1
  258. Listener 0 org.deeplearning4j.ui.stats.StatsListener@39ffda4a
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