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nohup.out
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2019-06-08 13:03:10.672157: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2019-06-08 13:03:10.672247: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2019-06-08 13:03:10.672297: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (localhost.localdomain): /proc/driver/nvidia/version does not exist
2019-06-08 13:03:10.672737: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-06-08 13:03:10.685550: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1696220000 Hz
2019-06-08 13:03:10.686501: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x562739425ab0 executing computations on platform Host. Devices:
2019-06-08 13:03:10.686535: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
WARNING: Logging before flag parsing goes to stderr.
W0608 13:03:11.493694 139811322005312 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:175: setdiff1d (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2018-11-30.
Instructions for updating:
This op will be removed after the deprecation date. Please switch to tf.sets.difference().
W0608 13:03:11.677630 139811322005312 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:1205: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2019-06-08 13:03:14.737196: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1483] (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.
2019-06-08 13:11:28.717282: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2019-06-08 13:11:28.717358: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2019-06-08 13:11:28.717408: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (localhost.localdomain): /proc/driver/nvidia/version does not exist
2019-06-08 13:11:28.717852: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-06-08 13:11:28.730745: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1696220000 Hz
2019-06-08 13:11:28.731656: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x557ba7342890 executing computations on platform Host. Devices:
2019-06-08 13:11:28.731687: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
WARNING: Logging before flag parsing goes to stderr.
W0608 13:11:29.542584 139759485937472 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:175: setdiff1d (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2018-11-30.
Instructions for updating:
This op will be removed after the deprecation date. Please switch to tf.sets.difference().
W0608 13:11:29.727962 139759485937472 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:1205: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2019-06-08 13:11:32.815263: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1483] (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.
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2019-06-09 20:17:00.465992: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2019-06-09 20:17:00.466227: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2019-06-09 20:17:00.466278: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (localhost.localdomain): /proc/driver/nvidia/version does not exist
2019-06-09 20:17:00.466715: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-06-09 20:17:00.479511: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1696220000 Hz
2019-06-09 20:17:00.480443: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55872dbf1ab0 executing computations on platform Host. Devices:
2019-06-09 20:17:00.480481: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
WARNING: Logging before flag parsing goes to stderr.
W0609 20:17:01.320412 139908707268416 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:175: setdiff1d (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2018-11-30.
Instructions for updating:
This op will be removed after the deprecation date. Please switch to tf.sets.difference().
W0609 20:17:01.512754 139908707268416 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:1205: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2019-06-09 20:17:04.680478: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1483] (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.
2019-06-09 20:17:13.630256: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2019-06-09 20:17:13.630339: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2019-06-09 20:17:13.630389: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (localhost.localdomain): /proc/driver/nvidia/version does not exist
2019-06-09 20:17:13.630870: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-06-09 20:17:13.646392: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1696220000 Hz
2019-06-09 20:17:13.647516: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x559a7d75e950 executing computations on platform Host. Devices:
2019-06-09 20:17:13.647643: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
WARNING: Logging before flag parsing goes to stderr.
W0609 20:17:14.418324 140472081352512 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:175: setdiff1d (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2018-11-30.
Instructions for updating:
This op will be removed after the deprecation date. Please switch to tf.sets.difference().
W0609 20:17:15.588426 140472081352512 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:1205: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2019-06-09 20:17:17.456710: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1483] (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.
2019-06-10 00:32:23.693106: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2019-06-10 00:32:23.693193: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2019-06-10 00:32:23.693254: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (localhost.localdomain): /proc/driver/nvidia/version does not exist
2019-06-10 00:32:23.693727: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-06-10 00:32:23.708866: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1696220000 Hz
2019-06-10 00:32:23.709860: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55efc1a5edd0 executing computations on platform Host. Devices:
2019-06-10 00:32:23.709927: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
WARNING: Logging before flag parsing goes to stderr.
W0610 00:32:24.635092 140152901650240 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:175: setdiff1d (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2018-11-30.
Instructions for updating:
This op will be removed after the deprecation date. Please switch to tf.sets.difference().
W0610 00:32:24.834090 140152901650240 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:1205: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2019-06-10 00:32:27.983675: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1483] (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.
2019-06-10 00:32:34.105643: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2019-06-10 00:32:34.105742: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2019-06-10 00:32:34.105812: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (localhost.localdomain): /proc/driver/nvidia/version does not exist
2019-06-10 00:32:34.106302: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-06-10 00:32:34.122292: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1696220000 Hz
2019-06-10 00:32:34.123296: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x558675778b90 executing computations on platform Host. Devices:
2019-06-10 00:32:34.123375: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
WARNING: Logging before flag parsing goes to stderr.
W0610 00:32:34.819359 139997540276032 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:175: setdiff1d (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2018-11-30.
Instructions for updating:
This op will be removed after the deprecation date. Please switch to tf.sets.difference().
W0610 00:32:35.082440 139997540276032 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:1205: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2019-06-10 00:32:37.919412: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1483] (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.
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Traceback (most recent call last):
File "well_controller.py", line 1, in <module>
import naive_nde
File "/home/pgrabinski/NNDE_Shirvany/naive_nde.py", line 1, in <module>
import tensorflow as tf
ModuleNotFoundError: No module named 'tensorflow'
Traceback (most recent call last):
File "well_normalized_controller.py", line 1, in <module>
import naive_nde
File "/home/pgrabinski/NNDE_Shirvany/naive_nde.py", line 1, in <module>
import tensorflow as tf
ModuleNotFoundError: No module named 'tensorflow'
Traceback (most recent call last):
File "well_unity_controller.py", line 1, in <module>
import naive_nde
File "/home/pgrabinski/NNDE_Shirvany/naive_nde.py", line 1, in <module>
import tensorflow as tf
ModuleNotFoundError: No module named 'tensorflow'
2019-06-11 20:55:11.301390: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2019-06-11 20:55:11.301460: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2019-06-11 20:55:11.301510: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (localhost.localdomain): /proc/driver/nvidia/version does not exist
2019-06-11 20:55:11.301962: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-06-11 20:55:11.314974: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1696220000 Hz
2019-06-11 20:55:11.315951: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5603ee30fc20 executing computations on platform Host. Devices:
2019-06-11 20:55:11.315986: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
WARNING: Logging before flag parsing goes to stderr.
W0611 20:55:11.979343 140606768064320 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:175: setdiff1d (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2018-11-30.
Instructions for updating:
This op will be removed after the deprecation date. Please switch to tf.sets.difference().
W0611 20:55:12.213010 140606768064320 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:1205: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2019-06-11 20:55:14.935356: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1483] (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.
2019-06-11 20:55:17.765746: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2019-06-11 20:55:17.765808: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2019-06-11 20:55:17.765849: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (localhost.localdomain): /proc/driver/nvidia/version does not exist
2019-06-11 20:55:17.766216: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-06-11 20:55:17.779938: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1696220000 Hz
2019-06-11 20:55:17.781751: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x56373fb338c0 executing computations on platform Host. Devices:
2019-06-11 20:55:17.781792: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
WARNING: Logging before flag parsing goes to stderr.
W0611 20:55:18.450668 139929414526784 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:175: setdiff1d (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2018-11-30.
Instructions for updating:
This op will be removed after the deprecation date. Please switch to tf.sets.difference().
W0611 20:55:18.678356 139929414526784 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:1205: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2019-06-11 20:55:21.450619: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1483] (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.
2019-06-11 20:55:22.838500: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2019-06-11 20:55:22.838571: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2019-06-11 20:55:22.838621: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (localhost.localdomain): /proc/driver/nvidia/version does not exist
2019-06-11 20:55:22.839066: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-06-11 20:55:22.852809: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1696220000 Hz
2019-06-11 20:55:22.853723: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x55db5f4027e0 executing computations on platform Host. Devices:
2019-06-11 20:55:22.853759: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
WARNING: Logging before flag parsing goes to stderr.
W0611 20:55:23.693338 140588941027136 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:175: setdiff1d (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2018-11-30.
Instructions for updating:
This op will be removed after the deprecation date. Please switch to tf.sets.difference().
W0611 20:55:23.878889 140588941027136 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:1205: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2019-06-11 20:55:27.054551: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1483] (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.
2019-06-11 20:55:43.926517: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2019-06-11 20:55:43.926602: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2019-06-11 20:55:43.926655: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (localhost.localdomain): /proc/driver/nvidia/version does not exist
2019-06-11 20:55:43.927140: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-06-11 20:55:43.942533: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1696220000 Hz
2019-06-11 20:55:43.943517: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5557aa5dc370 executing computations on platform Host. Devices:
2019-06-11 20:55:43.943567: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
WARNING: Logging before flag parsing goes to stderr.
W0611 20:55:44.700547 140057719019328 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:175: setdiff1d (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2018-11-30.
Instructions for updating:
This op will be removed after the deprecation date. Please switch to tf.sets.difference().
W0611 20:55:45.870403 140057719019328 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:1205: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2019-06-11 20:55:47.734125: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1483] (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.
2019-06-11 20:55:51.166001: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2019-06-11 20:55:51.166087: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2019-06-11 20:55:51.166170: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (localhost.localdomain): /proc/driver/nvidia/version does not exist
2019-06-11 20:55:51.166784: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-06-11 20:55:51.180990: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1696220000 Hz
2019-06-11 20:55:51.182886: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5580604e38c0 executing computations on platform Host. Devices:
2019-06-11 20:55:51.182918: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
WARNING: Logging before flag parsing goes to stderr.
W0611 20:55:51.963849 139835415582528 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:175: setdiff1d (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2018-11-30.
Instructions for updating:
This op will be removed after the deprecation date. Please switch to tf.sets.difference().
W0611 20:55:53.203103 139835415582528 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:1205: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2019-06-11 20:55:55.143440: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1483] (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.
2019-06-11 20:56:00.213869: I tensorflow/stream_executor/platform/default/dso_loader.cc:53] Could not dlopen library 'libcuda.so.1'; dlerror: libcuda.so.1: cannot open shared object file: No such file or directory
2019-06-11 20:56:00.213947: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: UNKNOWN ERROR (303)
2019-06-11 20:56:00.213995: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:156] kernel driver does not appear to be running on this host (localhost.localdomain): /proc/driver/nvidia/version does not exist
2019-06-11 20:56:00.214444: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2019-06-11 20:56:00.229768: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1696220000 Hz
2019-06-11 20:56:00.230910: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5643d20468c0 executing computations on platform Host. Devices:
2019-06-11 20:56:00.231008: I tensorflow/compiler/xla/service/service.cc:175] StreamExecutor device (0): <undefined>, <undefined>
WARNING: Logging before flag parsing goes to stderr.
W0611 20:56:01.190457 140185218389824 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:175: setdiff1d (from tensorflow.python.ops.array_ops) is deprecated and will be removed after 2018-11-30.
Instructions for updating:
This op will be removed after the deprecation date. Please switch to tf.sets.difference().
W0611 20:56:01.392802 140185218389824 deprecation.py:323] From /home/pgrabinski/anaconda3/envs/nde2/lib/python3.6/site-packages/tensorflow/python/ops/math_grad.py:1205: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
2019-06-11 20:56:04.762710: W tensorflow/compiler/jit/mark_for_compilation_pass.cc:1483] (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.
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Done 4 0