Failed call to cuInit CUDA_ERROR_NOT_INITIALIZED (Device mapping: no known devices) Tensorflow-gpu 1.2.1
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I have 2 GPU's but not able to utilize via tensorflow-GPU, could anyone help to figure it out the issue.
Versions:
- Tensorflow GPU 1.2.1
- Cudnn 6.0.21
Cuda 10.0 (toolkit)
import tensorflow as tf
a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
c = tf.matmul(a, b)
with tf.Session(config=tf.ConfigProto(log_device_placement=True)) as sess:
print (sess.run(c))
Warning/Error message:
2018-11-09 12:06:42.827220: E tensorflow/stream_executor/cuda/cuda_driver.cc:406] **failed call to cuInit: CUDA_ERROR_NOT_INITIALIZED**
2018-11-09 12:06:42.827292: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:158] retrieving CUDA diagnostic information for host: ca47dppaia001
2018-11-09 12:06:42.827309: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:165] hostname: ca47dppaia001
2018-11-09 12:06:42.827370: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] libcuda reported version is: 410.72.0
2018-11-09 12:06:42.827419: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:369] driver version file contents: """NVRM version: NVIDIA UNIX ppc64le Kernel Module 410.72 Wed Oct 17 20:19:50 CDT 2018
GCC version: gcc version 4.8.5 20150623 (Red Hat 4.8.5-36) (GCC)
"""
2018-11-09 12:06:42.827457: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:193] kernel reported version is: 410.72.0
2018-11-09 12:06:42.827471: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:300] kernel version seems to match DSO: 410.72.0
**Device mapping: no known devices.**
2018-11-09 12:06:42.871454: I tensorflow/core/common_runtime/direct_session.cc:265] Device mapping:
python linux tensorflow
asked Nov 9 at 21:25
user1531248
1001311
|
show 1 more comment
up vote
0
down vote
favorite
I have 2 GPU's but not able to utilize via tensorflow-GPU, could anyone help to figure it out the issue.
Versions:
- Tensorflow GPU 1.2.1
- Cudnn 6.0.21
Cuda 10.0 (toolkit)
import tensorflow as tf
a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
c = tf.matmul(a, b)
with tf.Session(config=tf.ConfigProto(log_device_placement=True)) as sess:
print (sess.run(c))
Warning/Error message:
2018-11-09 12:06:42.827220: E tensorflow/stream_executor/cuda/cuda_driver.cc:406] **failed call to cuInit: CUDA_ERROR_NOT_INITIALIZED**
2018-11-09 12:06:42.827292: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:158] retrieving CUDA diagnostic information for host: ca47dppaia001
2018-11-09 12:06:42.827309: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:165] hostname: ca47dppaia001
2018-11-09 12:06:42.827370: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] libcuda reported version is: 410.72.0
2018-11-09 12:06:42.827419: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:369] driver version file contents: """NVRM version: NVIDIA UNIX ppc64le Kernel Module 410.72 Wed Oct 17 20:19:50 CDT 2018
GCC version: gcc version 4.8.5 20150623 (Red Hat 4.8.5-36) (GCC)
"""
2018-11-09 12:06:42.827457: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:193] kernel reported version is: 410.72.0
2018-11-09 12:06:42.827471: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:300] kernel version seems to match DSO: 410.72.0
**Device mapping: no known devices.**
2018-11-09 12:06:42.871454: I tensorflow/core/common_runtime/direct_session.cc:265] Device mapping:
python linux tensorflow
asked Nov 9 at 21:25
user1531248
1001311
did you validate your CUDA 8.0 install?
– Robert Crovella
Nov 9 at 21:37
Not able to execute "nvcc -V" but able to locate version.txt (tensorflow) [srcAI9@ca47dppaia001 cuda]$ ls bin extras lib64 libnvvp nsightee_plugins nvvm samples targets version.txt doc include libnsight LICENSE nvml README share tools (tensorflow) [srcAI9@ca47dppaia001 cuda]$ version.txt -bash: version.txt: command not found (tensorflow) [srcAI9@ca47dppaia001 cuda]$ cat version.txt CUDA Version 10.0.130
– user1531248
Nov 9 at 22:23
Your CUDA is not installed correctly.
– Robert Crovella
Nov 9 at 22:30
When installing tensorflow-gpu, it does all the dependencies or something else do i need to do?
– user1531248
Nov 9 at 22:35
still failing with same issue but now i am able to get the CUDA version by setting the environment variable and executing $ nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:10:00_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130
– user1531248
Nov 10 at 0:07
|
show 1 more comment
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I have 2 GPU's but not able to utilize via tensorflow-GPU, could anyone help to figure it out the issue.
Versions:
- Tensorflow GPU 1.2.1
- Cudnn 6.0.21
Cuda 10.0 (toolkit)
import tensorflow as tf
a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
c = tf.matmul(a, b)
with tf.Session(config=tf.ConfigProto(log_device_placement=True)) as sess:
print (sess.run(c))
Warning/Error message:
2018-11-09 12:06:42.827220: E tensorflow/stream_executor/cuda/cuda_driver.cc:406] **failed call to cuInit: CUDA_ERROR_NOT_INITIALIZED**
2018-11-09 12:06:42.827292: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:158] retrieving CUDA diagnostic information for host: ca47dppaia001
2018-11-09 12:06:42.827309: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:165] hostname: ca47dppaia001
2018-11-09 12:06:42.827370: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] libcuda reported version is: 410.72.0
2018-11-09 12:06:42.827419: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:369] driver version file contents: """NVRM version: NVIDIA UNIX ppc64le Kernel Module 410.72 Wed Oct 17 20:19:50 CDT 2018
GCC version: gcc version 4.8.5 20150623 (Red Hat 4.8.5-36) (GCC)
"""
2018-11-09 12:06:42.827457: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:193] kernel reported version is: 410.72.0
2018-11-09 12:06:42.827471: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:300] kernel version seems to match DSO: 410.72.0
**Device mapping: no known devices.**
2018-11-09 12:06:42.871454: I tensorflow/core/common_runtime/direct_session.cc:265] Device mapping:
python linux tensorflow
asked Nov 9 at 21:25
user1531248
1001311
I have 2 GPU's but not able to utilize via tensorflow-GPU, could anyone help to figure it out the issue.
Versions:
- Tensorflow GPU 1.2.1
- Cudnn 6.0.21
Cuda 10.0 (toolkit)
import tensorflow as tf
a = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[2, 3], name='a')
b = tf.constant([1.0, 2.0, 3.0, 4.0, 5.0, 6.0], shape=[3, 2], name='b')
c = tf.matmul(a, b)
with tf.Session(config=tf.ConfigProto(log_device_placement=True)) as sess:
print (sess.run(c))
Warning/Error message:
2018-11-09 12:06:42.827220: E tensorflow/stream_executor/cuda/cuda_driver.cc:406] **failed call to cuInit: CUDA_ERROR_NOT_INITIALIZED**
2018-11-09 12:06:42.827292: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:158] retrieving CUDA diagnostic information for host: ca47dppaia001
2018-11-09 12:06:42.827309: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:165] hostname: ca47dppaia001
2018-11-09 12:06:42.827370: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] libcuda reported version is: 410.72.0
2018-11-09 12:06:42.827419: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:369] driver version file contents: """NVRM version: NVIDIA UNIX ppc64le Kernel Module 410.72 Wed Oct 17 20:19:50 CDT 2018
GCC version: gcc version 4.8.5 20150623 (Red Hat 4.8.5-36) (GCC)
"""
2018-11-09 12:06:42.827457: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:193] kernel reported version is: 410.72.0
2018-11-09 12:06:42.827471: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:300] kernel version seems to match DSO: 410.72.0
**Device mapping: no known devices.**
2018-11-09 12:06:42.871454: I tensorflow/core/common_runtime/direct_session.cc:265] Device mapping:
python linux tensorflow
python linux tensorflow
asked Nov 9 at 21:25
user1531248
1001311
asked Nov 9 at 21:25
user1531248
1001311
edited Nov 10 at 1:14
asked Nov 9 at 21:25
user1531248
1001311
asked Nov 9 at 21:25
user1531248
1001311
asked Nov 9 at 21:25
user1531248
1001311
1001311
did you validate your CUDA 8.0 install?
– Robert Crovella
Nov 9 at 21:37
Not able to execute "nvcc -V" but able to locate version.txt (tensorflow) [srcAI9@ca47dppaia001 cuda]$ ls bin extras lib64 libnvvp nsightee_plugins nvvm samples targets version.txt doc include libnsight LICENSE nvml README share tools (tensorflow) [srcAI9@ca47dppaia001 cuda]$ version.txt -bash: version.txt: command not found (tensorflow) [srcAI9@ca47dppaia001 cuda]$ cat version.txt CUDA Version 10.0.130
– user1531248
Nov 9 at 22:23
Your CUDA is not installed correctly.
– Robert Crovella
Nov 9 at 22:30
When installing tensorflow-gpu, it does all the dependencies or something else do i need to do?
– user1531248
Nov 9 at 22:35
still failing with same issue but now i am able to get the CUDA version by setting the environment variable and executing $ nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:10:00_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130
– user1531248
Nov 10 at 0:07
|
show 1 more comment
did you validate your CUDA 8.0 install?
– Robert Crovella
Nov 9 at 21:37
Not able to execute "nvcc -V" but able to locate version.txt (tensorflow) [srcAI9@ca47dppaia001 cuda]$ ls bin extras lib64 libnvvp nsightee_plugins nvvm samples targets version.txt doc include libnsight LICENSE nvml README share tools (tensorflow) [srcAI9@ca47dppaia001 cuda]$ version.txt -bash: version.txt: command not found (tensorflow) [srcAI9@ca47dppaia001 cuda]$ cat version.txt CUDA Version 10.0.130
– user1531248
Nov 9 at 22:23
Your CUDA is not installed correctly.
– Robert Crovella
Nov 9 at 22:30
When installing tensorflow-gpu, it does all the dependencies or something else do i need to do?
– user1531248
Nov 9 at 22:35
still failing with same issue but now i am able to get the CUDA version by setting the environment variable and executing $ nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:10:00_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130
– user1531248
Nov 10 at 0:07
did you validate your CUDA 8.0 install?
– Robert Crovella
Nov 9 at 21:37
did you validate your CUDA 8.0 install?
– Robert Crovella
Nov 9 at 21:37
Not able to execute "nvcc -V" but able to locate version.txt (tensorflow) [srcAI9@ca47dppaia001 cuda]$ ls bin extras lib64 libnvvp nsightee_plugins nvvm samples targets version.txt doc include libnsight LICENSE nvml README share tools (tensorflow) [srcAI9@ca47dppaia001 cuda]$ version.txt -bash: version.txt: command not found (tensorflow) [srcAI9@ca47dppaia001 cuda]$ cat version.txt CUDA Version 10.0.130
– user1531248
Nov 9 at 22:23
Not able to execute "nvcc -V" but able to locate version.txt (tensorflow) [srcAI9@ca47dppaia001 cuda]$ ls bin extras lib64 libnvvp nsightee_plugins nvvm samples targets version.txt doc include libnsight LICENSE nvml README share tools (tensorflow) [srcAI9@ca47dppaia001 cuda]$ version.txt -bash: version.txt: command not found (tensorflow) [srcAI9@ca47dppaia001 cuda]$ cat version.txt CUDA Version 10.0.130
– user1531248
Nov 9 at 22:23
Your CUDA is not installed correctly.
– Robert Crovella
Nov 9 at 22:30
Your CUDA is not installed correctly.
– Robert Crovella
Nov 9 at 22:30
When installing tensorflow-gpu, it does all the dependencies or something else do i need to do?
– user1531248
Nov 9 at 22:35
When installing tensorflow-gpu, it does all the dependencies or something else do i need to do?
– user1531248
Nov 9 at 22:35
still failing with same issue but now i am able to get the CUDA version by setting the environment variable and executing $ nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:10:00_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130
– user1531248
Nov 10 at 0:07
still failing with same issue but now i am able to get the CUDA version by setting the environment variable and executing $ nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:10:00_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130
– user1531248
Nov 10 at 0:07
|
show 1 more comment
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did you validate your CUDA 8.0 install?
– Robert Crovella
Nov 9 at 21:37
Not able to execute "nvcc -V" but able to locate version.txt (tensorflow) [srcAI9@ca47dppaia001 cuda]$ ls bin extras lib64 libnvvp nsightee_plugins nvvm samples targets version.txt doc include libnsight LICENSE nvml README share tools (tensorflow) [srcAI9@ca47dppaia001 cuda]$ version.txt -bash: version.txt: command not found (tensorflow) [srcAI9@ca47dppaia001 cuda]$ cat version.txt CUDA Version 10.0.130
– user1531248
Nov 9 at 22:23
Your CUDA is not installed correctly.
– Robert Crovella
Nov 9 at 22:30
When installing tensorflow-gpu, it does all the dependencies or something else do i need to do?
– user1531248
Nov 9 at 22:35
still failing with same issue but now i am able to get the CUDA version by setting the environment variable and executing $ nvcc --version nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2018 NVIDIA Corporation Built on Sat_Aug_25_21:10:00_CDT_2018 Cuda compilation tools, release 10.0, V10.0.130
– user1531248
Nov 10 at 0:07