Hi!
i've tried to build GPU-version of docker image on my ubuntu 16.04(nvidia 418.67, Cuda 10.1 and got this error in the end.
sudo docker build --file Dockerfile.gpu -t rescuer_la .
Sending build context to Docker daemon 14.56MB
Step 1/24 : FROM tensorflow/tensorflow:1.12.0-gpu-py3
---> 413b9533f92a
Step 2/24 : ENV DEBIAN_FRONTEND noninteractive
---> Using cache
---> 8a52f51116f2
Step 3/24 : RUN apt-get update -qq && apt-get install --no-install-recommends -y build-essential g++ git wget apt-transport-https curl cython libopenblas-base python3-numpy python3-scipy python3-h5py python3-yaml python3-pydot && apt-get clean && rm -rf /var/lib/apt/lists/*
---> Using cache
---> a545cb38439e
Step 4/24 : RUN pip3 --no-cache-dir install -U numpy==1.13.3
---> Using cache
---> 98d345ea0a28
Step 5/24 : ARG KERAS_VERSION=2.2.4
---> Using cache
---> 7b09457df232
Step 6/24 : ENV KERAS_BACKEND=tensorflow
---> Using cache
---> 85a448c8d80b
Step 7/24 : RUN pip3 --no-cache-dir install --no-dependencies git+https://github.com/fchollet/keras.git@${KERAS_VERSION}
---> Using cache
---> 1c91dbe3620b
Step 8/24 : RUN python3 -c "import tensorflow; print(tensorflow.version)" && dpkg-query -l > /dpkg-query-l.txt && pip3 freeze > /pip3-freeze.txt
---> Running in 08e7f4469a36
Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/usr/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "", line 1, in
File "/usr/local/lib/python3.5/dist-packages/tensorflow/init.py", line 24, in
from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/init.py", line 49, in
from tensorflow.python import pywrap_tensorflow
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 74, in
raise ImportError(msg)
ImportError: Traceback (most recent call last):
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "/usr/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcuda.so.1: cannot open shared object file: No such file or directory
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/errors
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
The command '/bin/sh -c python3 -c "import tensorflow; print(tensorflow.version)" && dpkg-query -l > /dpkg-query-l.txt && pip3 freeze > /pip3-freeze.txt' returned a non-zero code: 1
483 Jan 05, 2023
85 Dec 31, 2022
1 Jan 05, 2022
40 Dec 22, 2022
206 Dec 20, 2022
3 Mar 30, 2022
10.6k Jan 01, 2023
1 Jan 13, 2022
1 Nov 10, 2021
77 Dec 16, 2022
10 Nov 30, 2022
4 Nov 03, 2022
50 Nov 26, 2022
2 Mar 15, 2022
2 May 30, 2022
20 Feb 03, 2022
40 Dec 13, 2022
18 Aug 11, 2022
2k Jan 08, 2023
198 Dec 27, 2022
