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model.h5

lamiastella
Jan 26th, 2017
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  1. mona@pascal:~/computer_vision/VPilot$ python train.py
  2. Using TensorFlow backend.
  3. I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcublas.so.8.0 locally
  4. I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcudnn.so.5.0 locally
  5. I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcufft.so.8.0 locally
  6. I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcuda.so.1 locally
  7. I tensorflow/stream_executor/dso_loader.cc:111] successfully opened CUDA library libcurand.so.8.0 locally
  8. /usr/local/lib/python2.7/dist-packages/keras/backend/tensorflow_backend.py:1938: UserWarning: Expected no kwargs, you passed 1
  9. kwargs passed to function are ignored with Tensorflow backend
  10. warnings.warn('\n'.join(msg))
  11. Epoch 1/1000
  12. I tensorflow/core/common_runtime/gpu/gpu_device.cc:951] Found device 0 with properties:
  13. name: Tesla K40c
  14. major: 3 minor: 5 memoryClockRate (GHz) 0.8755
  15. pciBusID 0000:03:00.0
  16. Total memory: 11.92GiB
  17. Free memory: 11.85GiB
  18. W tensorflow/stream_executor/cuda/cuda_driver.cc:572] creating context when one is currently active; existing: 0x47913e0
  19. I tensorflow/core/common_runtime/gpu/gpu_device.cc:951] Found device 1 with properties:
  20. name: Tesla K40c
  21. major: 3 minor: 5 memoryClockRate (GHz) 0.8755
  22. pciBusID 0000:83:00.0
  23. Total memory: 11.92GiB
  24. Free memory: 11.85GiB
  25. I tensorflow/core/common_runtime/gpu/gpu_device.cc:855] cannot enable peer access from device ordinal 0 to device ordinal 1
  26. I tensorflow/core/common_runtime/gpu/gpu_device.cc:855] cannot enable peer access from device ordinal 1 to device ordinal 0
  27. I tensorflow/core/common_runtime/gpu/gpu_device.cc:972] DMA: 0 1
  28. I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] 0: Y N
  29. I tensorflow/core/common_runtime/gpu/gpu_device.cc:982] 1: N Y
  30. I tensorflow/core/common_runtime/gpu/gpu_device.cc:1041] Creating TensorFlow device (/gpu:0) -> (device: 0, name: Tesla K40c, pci bus id: 0000:03:00.0)
  31. I tensorflow/core/common_runtime/gpu/gpu_device.cc:1041] Creating TensorFlow device (/gpu:1) -> (device: 1, name: Tesla K40c, pci bus id: 0000:83:00.0)
  32. I tensorflow/core/common_runtime/gpu/pool_allocator.cc:245] PoolAllocator: After 4777 get requests, put_count=3272 evicted_count=1000 eviction_rate=0.305623 and unsatisfied allocation rate=0.545321
  33. I tensorflow/core/common_runtime/gpu/pool_allocator.cc:257] Raising pool_size_limit_ from 100 to 110
  34. 4/17035 [..............................] - ETA: 34257s - loss: 0.3268I tensorflow/core/common_runtime/gpu/pool_allocator.cc:245] PoolAllocator: After 1090 get requests, put_count=1951 evicted_count=1000 eviction_rate=0.512558 and unsatisfied allocation rate=0.142202
  35. I tensorflow/core/common_runtime/gpu/pool_allocator.cc:257] Raising pool_size_limit_ from 176 to 193
  36. 8/17035 [..............................] - ETA: 20115s - loss: 0.4547I tensorflow/core/common_runtime/gpu/pool_allocator.cc:245] PoolAllocator: After 247 get requests, put_count=1272 evicted_count=1000 eviction_rate=0.786164 and unsatisfied allocation rate=0
  37. 13/17035 [..............................] - ETA: 14711s - loss: 0.5380I tensorflow/core/common_runtime/gpu/pool_allocator.cc:245] PoolAllocator: After 5059 get requests, put_count=4904 evicted_count=2000 eviction_rate=0.40783 and unsatisfied allocation rate=0.433287
  38. I tensorflow/core/common_runtime/gpu/pool_allocator.cc:257] Raising pool_size_limit_ from 409 to 449
  39. 18/17035 [..............................] - ETA: 12283s - loss: 0.4809I tensorflow/core/common_runtime/gpu/pool_allocator.cc:245] PoolAllocator: After 4903 get requests, put_count=4087 evicted_count=1000 eviction_rate=0.244678 and unsatisfied allocation rate=0.383643
  40. I tensorflow/core/common_runtime/gpu/pool_allocator.cc:257] Raising pool_size_limit_ from 720 to 792
  41. 24/17035 [..............................] - ETA: 10673s - loss: 0.4934I tensorflow/core/common_runtime/gpu/pool_allocator.cc:245] PoolAllocator: After 241 get requests, put_count=1380 evicted_count=1000 eviction_rate=0.724638 and unsatisfied allocation rate=0.00414938
  42. I tensorflow/core/common_runtime/gpu/pool_allocator.cc:257] Raising pool_size_limit_ from 1540 to 1694
  43. 17035/17035 [==============================] - 6235s - loss: 0.1774 - val_loss: 0.1062
  44. Epoch 2/1000
  45. 17035/17035 [==============================] - 6092s - loss: nan - val_loss: nan
  46. Epoch 3/1000
  47. 11030/17035 [==================>...........] - ETA: 2007s - loss: nan^Z
  48. [4]+ Stopped python train.py
  49. mona@pascal:~/computer_vision/VPilot$ ls
  50. drive.py frames1 frames2 model.h5 model.h5_bk model.py model.pyc __pycache__ README.md train.py
  51. mona@pascal:~/computer_vision/VPilot$ ls -ltr
  52. total 436392
  53. drwxrwxr-x 2 mona mona 4096 Jan 18 18:46 __pycache__
  54. -rw-rw-r-- 1 mona mona 223406216 Jan 19 14:26 model.h5_bk
  55. -rw-rw-r-- 1 mona mona 1697 Jan 20 16:56 README.md
  56. -rw-rw-r-- 1 mona mona 2292 Jan 24 16:07 drive.py
  57. drwxrwxr-x 2 mona mona 4096 Jan 26 15:39 frames1
  58. drwxrwxr-x 2 mona mona 4096 Jan 26 15:39 frames2
  59. -rw-rw-r-- 1 mona mona 1778 Jan 26 17:20 train.py
  60. -rw-rw-r-- 1 mona mona 5567 Jan 26 17:21 model.py
  61. -rw-rw-r-- 1 mona mona 6038 Jan 26 17:21 model.pyc
  62. -rw-rw-r-- 1 mona mona 223405664 Jan 26 19:19 model.h5
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