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  1. 2019-06-25 12:39:50.997029: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcuda.so.1
  2. 2019-06-25 12:39:53.591021: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
  3. name: GeForce RTX 2080 major: 7 minor: 5 memoryClockRate(GHz): 1.71
  4. pciBusID: 0000:81:00.0
  5. 2019-06-25 12:39:53.591287: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
  6. 2019-06-25 12:39:53.592771: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0
  7. 2019-06-25 12:39:53.594146: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcufft.so.10.0
  8. 2019-06-25 12:39:53.594480: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcurand.so.10.0
  9. 2019-06-25 12:39:53.596257: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusolver.so.10.0
  10. 2019-06-25 12:39:53.597615: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusparse.so.10.0
  11. 2019-06-25 12:39:53.601782: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
  12. 2019-06-25 12:39:53.603241: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0
  13. 2019-06-25 12:39:53.604195: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
  14. 2019-06-25 12:39:53.784778: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x54f90e0 executing computations on platform CUDA. Devices:
  15. 2019-06-25 12:39:53.784843: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): GeForce RTX 2080, Compute Capability 7.5
  16. 2019-06-25 12:39:53.809627: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2200015000 Hz
  17. 2019-06-25 12:39:53.811607: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55244c0 executing computations on platform Host. Devices:
  18. 2019-06-25 12:39:53.811643: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
  19. 2019-06-25 12:39:53.812930: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1640] Found device 0 with properties:
  20. name: GeForce RTX 2080 major: 7 minor: 5 memoryClockRate(GHz): 1.71
  21. pciBusID: 0000:81:00.0
  22. 2019-06-25 12:39:53.813011: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
  23. 2019-06-25 12:39:53.813043: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0
  24. 2019-06-25 12:39:53.813069: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcufft.so.10.0
  25. 2019-06-25 12:39:53.813095: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcurand.so.10.0
  26. 2019-06-25 12:39:53.813122: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusolver.so.10.0
  27. 2019-06-25 12:39:53.813149: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcusparse.so.10.0
  28. 2019-06-25 12:39:53.813176: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
  29. 2019-06-25 12:39:53.815356: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0
  30. 2019-06-25 12:39:53.815422: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudart.so.10.0
  31. 2019-06-25 12:39:53.818071: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
  32. 2019-06-25 12:39:53.818099: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187] 0
  33. 2019-06-25 12:39:53.818112: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0: N
  34. 2019-06-25 12:39:53.820663: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1326] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 7416 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080, pci bus id: 0000:81:00.0, compute capability: 7.5)
  35. W0625 12:39:53.823548 140288367765312 deprecation_wrapper.py:119] From main.py:291: The name tf.summary.FileWriter is deprecated. Please use tf.compat.v1.summary.FileWriter instead.
  36.  
  37. 2019-06-25 12:39:58.916416: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1412] (One-time warning): Not using XLA:CPU for cluster because envvar TF_XLA_FLAGS=--tf_xla_cpu_global_jit was not set. If you want XLA:CPU, either set that envvar, or use experimental_jit_scope to enable XLA:CPU. To confirm that XLA is active, pass --vmodule=xla_compilation_cache=1 (as a proper command-line flag, not via TF_XLA_FLAGS) or set the envvar XLA_FLAGS=--xla_hlo_profile.
  38. W0625 12:39:58.922708 140288367765312 deprecation_wrapper.py:119] From main.py:300: The name tf.train.Saver is deprecated. Please use tf.compat.v1.train.Saver instead.
  39.  
  40. I0625 12:39:59.113844 140288367765312 main.py:306] Model not restored
  41. I0625 12:40:00.124011 140288367765312 main.py:315] Discriminator pretrain
  42. I0625 12:40:00.124216 140288367765312 main.py:318] Epoch 1
  43. 2019-06-25 12:40:00.501938: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcublas.so.10.0
  44. 2019-06-25 12:40:00.917931: I tensorflow/stream_executor/platform/default/dso_loader.cc:42] Successfully opened dynamic library libcudnn.so.7
  45. 2019-06-25 12:40:02.039771: E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR
  46. 2019-06-25 12:40:02.047861: E tensorflow/stream_executor/cuda/cuda_dnn.cc:329] Could not create cudnn handle: CUDNN_STATUS_INTERNAL_ERROR
  47. Traceback (most recent call last):
  48. File "/home/skuehl/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1356, in _do_call
  49. return fn(*args)
  50. File "/home/skuehl/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1341, in _run_fn
  51. options, feed_dict, fetch_list, target_list, run_metadata)
  52. File "/home/skuehl/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1429, in _call_tf_sessionrun
  53. run_metadata)
  54. tensorflow.python.framework.errors_impl.UnknownError: 2 root error(s) found.
  55. (0) Unknown: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
  56. [[{{node classifier_1/classifier/conv_1/conv1d}}]]
  57. (1) Unknown: Failed to get convolution algorithm. This is probably because cuDNN failed to initialize, so try looking to see if a warning log message was printed above.
  58. [[{{node classifier_1/classifier/conv_1/conv1d}}]]
  59. [[Mean_2/_41]]
  60. 0 successful operations.
  61. 0 derived errors ignored.
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