API tools faq
paste
Advertisement
ronnyma

CUDA!

ronnyma
Dec 13th, 2017
349
0
Never
Add comment
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 7.64 KB | None | 0 0
raw download clone embed print report
  1. Dual Xeon 2620-V4, SSE4.{1|2}, AVX
  2. Train on 11828 samples, validate on 1315 samples
  3. Epoch 1/32
  4. 11828/11828 [==============================] - 17s - loss: 0.0242 - val_loss: 0.0137
  5. Epoch 2/32
  6. 11828/11828 [==============================] - 16s - loss: 0.0121 - val_loss: 0.0106
  7. Epoch 3/32
  8. 11828/11828 [==============================] - 16s - loss: 0.0100 - val_loss: 0.0094
  9. Epoch 4/32
  10. 11828/11828 [==============================] - 16s - loss: 0.0091 - val_loss: 0.0087
  11. Epoch 5/32
  12. 11828/11828 [==============================] - 16s - loss: 0.0085 - val_loss: 0.0084
  13. Epoch 6/32
  14. 11828/11828 [==============================] - 16s - loss: 0.0081 - val_loss: 0.0080
  15. Epoch 7/32
  16. 11828/11828 [==============================] - 16s - loss: 0.0077 - val_loss: 0.0075
  17. Epoch 8/32
  18. 11828/11828 [==============================] - 16s - loss: 0.0074 - val_loss: 0.0072
  19. Epoch 9/32
  20. 11828/11828 [==============================] - 16s - loss: 0.0071 - val_loss: 0.0069
  21. Epoch 10/32
  22. 11828/11828 [==============================] - 16s - loss: 0.0070 - val_loss: 0.0069
  23. Epoch 11/32
  24. 11828/11828 [==============================] - 16s - loss: 0.0069 - val_loss: 0.0068
  25. Epoch 12/32
  26. 11828/11828 [==============================] - 16s - loss: 0.0069 - val_loss: 0.0069
  27. Epoch 13/32
  28. 11828/11828 [==============================] - 16s - loss: 0.0069 - val_loss: 0.0068
  29. Epoch 14/32
  30. 11828/11828 [==============================] - 16s - loss: 0.0068 - val_loss: 0.0068
  31. Epoch 15/32
  32. 11828/11828 [==============================] - 16s - loss: 0.0068 - val_loss: 0.0067
  33. Epoch 16/32
  34. 11828/11828 [==============================] - 16s - loss: 0.0068 - val_loss: 0.0067
  35. Epoch 17/32
  36. 11828/11828 [==============================] - 17s - loss: 0.0068 - val_loss: 0.0068
  37. Epoch 18/32
  38. 11828/11828 [==============================] - 16s - loss: 0.0068 - val_loss: 0.0067
  39. Epoch 19/32
  40. 11828/11828 [==============================] - 16s - loss: 0.0068 - val_loss: 0.0068
  41. Epoch 20/32
  42. 11828/11828 [==============================] - 16s - loss: 0.0068 - val_loss: 0.0067
  43. Epoch 21/32
  44. 11828/11828 [==============================] - 16s - loss: 0.0068 - val_loss: 0.0068
  45. Epoch 22/32
  46. 11828/11828 [==============================] - 16s - loss: 0.0068 - val_loss: 0.0067
  47. Epoch 23/32
  48. 11828/11828 [==============================] - 16s - loss: 0.0068 - val_loss: 0.0067
  49. Epoch 24/32
  50. 11828/11828 [==============================] - 16s - loss: 0.0067 - val_loss: 0.0067
  51. Epoch 25/32
  52. 11828/11828 [==============================] - 16s - loss: 0.0068 - val_loss: 0.0067
  53. Epoch 26/32
  54. 11828/11828 [==============================] - 16s - loss: 0.0067 - val_loss: 0.0067
  55. Epoch 27/32
  56. 11828/11828 [==============================] - 16s - loss: 0.0067 - val_loss: 0.0067
  57. Epoch 28/32
  58. 11828/11828 [==============================] - 17s - loss: 0.0067 - val_loss: 0.0067
  59. Epoch 29/32
  60. 11828/11828 [==============================] - 16s - loss: 0.0067 - val_loss: 0.0067
  61. Epoch 30/32
  62. 11828/11828 [==============================] - 17s - loss: 0.0067 - val_loss: 0.0067
  63. Epoch 31/32
  64. 11828/11828 [==============================] - 16s - loss: 0.0067 - val_loss: 0.0067
  65. Epoch 32/32
  66. 11828/11828 [==============================] - 16s - loss: 0.0067 - val_loss: 0.0067
  67. --------------------------------
  68. Minutes: 9.0
  69. --------------------------------
  70. GTX 1080 Ti Turbo CUDA
  71. Train on 11828 samples, validate on 1315 samples
  72. Epoch 1/32
  73. 11828/11828 [==============================] - 4s - loss: 0.0243 - val_loss: 0.0139
  74. Epoch 2/32
  75. 11828/11828 [==============================] - 2s - loss: 0.0123 - val_loss: 0.0108
  76. Epoch 3/32
  77. 11828/11828 [==============================] - 2s - loss: 0.0101 - val_loss: 0.0095
  78. Epoch 4/32
  79. 11828/11828 [==============================] - 2s - loss: 0.0093 - val_loss: 0.0089
  80. Epoch 5/32
  81. 11828/11828 [==============================] - 2s - loss: 0.0087 - val_loss: 0.0084
  82. Epoch 6/32
  83. 11828/11828 [==============================] - 2s - loss: 0.0081 - val_loss: 0.0077
  84. Epoch 7/32
  85. 11828/11828 [==============================] - 2s - loss: 0.0076 - val_loss: 0.0073
  86. Epoch 8/32
  87. 11828/11828 [==============================] - 2s - loss: 0.0073 - val_loss: 0.0071
  88. Epoch 9/32
  89. 11828/11828 [==============================] - 2s - loss: 0.0071 - val_loss: 0.0070
  90. Epoch 10/32
  91. 11828/11828 [==============================] - 2s - loss: 0.0070 - val_loss: 0.0069
  92. Epoch 11/32
  93. 11828/11828 [==============================] - 2s - loss: 0.0069 - val_loss: 0.0070
  94. Epoch 12/32
  95. 11828/11828 [==============================] - 1s - loss: 0.0069 - val_loss: 0.0071
  96. Epoch 13/32
  97. 11828/11828 [==============================] - 1s - loss: 0.0069 - val_loss: 0.0068
  98. Epoch 14/32
  99. 11828/11828 [==============================] - 1s - loss: 0.0068 - val_loss: 0.0068
  100. Epoch 15/32
  101. 11828/11828 [==============================] - 1s - loss: 0.0068 - val_loss: 0.0068
  102. Epoch 16/32
  103. 11828/11828 [==============================] - 1s - loss: 0.0068 - val_loss: 0.0069
  104. Epoch 17/32
  105. 11828/11828 [==============================] - 1s - loss: 0.0068 - val_loss: 0.0067
  106. Epoch 18/32
  107. 11828/11828 [==============================] - 1s - loss: 0.0068 - val_loss: 0.0068
  108. Epoch 19/32
  109. 11828/11828 [==============================] - 1s - loss: 0.0068 - val_loss: 0.0067
  110. Epoch 20/32
  111. 11828/11828 [==============================] - 1s - loss: 0.0068 - val_loss: 0.0067
  112. Epoch 21/32
  113. 11828/11828 [==============================] - 1s - loss: 0.0068 - val_loss: 0.0067
  114. Epoch 22/32
  115. 11828/11828 [==============================] - 1s - loss: 0.0068 - val_loss: 0.0067
  116. Epoch 23/32
  117. 11828/11828 [==============================] - 1s - loss: 0.0068 - val_loss: 0.0067
  118. Epoch 24/32
  119. 11828/11828 [==============================] - 1s - loss: 0.0068 - val_loss: 0.0067
  120. Epoch 25/32
  121. 11828/11828 [==============================] - 1s - loss: 0.0068 - val_loss: 0.0067
  122. Epoch 26/32
  123. 11828/11828 [==============================] - 1s - loss: 0.0067 - val_loss: 0.0067
  124. Epoch 27/32
  125. 11828/11828 [==============================] - 1s - loss: 0.0068 - val_loss: 0.0067
  126. Epoch 28/32
  127. 11828/11828 [==============================] - 1s - loss: 0.0067 - val_loss: 0.0067
  128. Epoch 29/32
  129. 11828/11828 [==============================] - 1s - loss: 0.0067 - val_loss: 0.0067
  130. Epoch 30/32
  131. 11828/11828 [==============================] - 1s - loss: 0.0067 - val_loss: 0.0067
  132. Epoch 31/32
  133. 11828/11828 [==============================] - 1s - loss: 0.0067 - val_loss: 0.0067
  134. Epoch 32/32
  135. 11828/11828 [==============================] - 1s - loss: 0.0067 - val_loss: 0.0067
  136. --------------------------------
  137. Minutes: 1.15
  138. --------------------------------
  139. +-----------------------------------------------------------------------------+
  140. | NVIDIA-SMI 384.90 Driver Version: 384.90 |
  141. |-------------------------------+----------------------+----------------------+
  142. | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |
  143. | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
  144. |===============================+======================+======================|
  145. | 0 GeForce GTX 108... Off | 00000000:02:00.0 Off | N/A |
  146. | 22% 49C P8 12W / 250W | 10787MiB / 11172MiB | 0% Default |
  147. +-------------------------------+----------------------+----------------------+
  148.  
  149. +-----------------------------------------------------------------------------+
  150. | Processes: GPU Memory |
  151. | GPU PID Type Process name Usage |
  152. |=============================================================================|
  153. | 0 21617 C ...nyma/anaconda3/envs/cudaflow/bin/python 10777MiB |
  154. +-----------------------------------------------------------------------------+
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement
Public Pastes
Advertisement
We use cookies for various purposes including analytics. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy.  OK, I Understand
Not a member of Pastebin yet?
Sign Up, it unlocks many cool features!