Streamlit error in jupyter notebook background - background

OSError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_6872/2503841040.py in <module>
----> 1 get_ipython().system('nohup streamlit run app.py&')
C:\ProgramData\Anaconda3\lib\site-packages\ipykernel\zmqshell.py in system_piped(self, cmd)
620 # os.system() or use ip.system=ip.system_raw
621 # if they really want a background process.
--> 622 raise OSError("Background processes not supported.")
623
624 # we explicitly do NOT return the subprocess status code, because
OSError: Background processes not supported.

Related

I installed tensforflow and used the command but it shows the following error

The code I wrote was this:
from tensorflow.keras.models import Sequential
and this is the error which was given...
it would be great if someone could tell a way out
ImportError Traceback (most recent call last)
~\Python\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in <module>
63 try:
---> 64 from tensorflow.python._pywrap_tensorflow_internal import *
65 # This try catch logic is because there is no bazel equivalent for py_extension.
ImportError: DLL load failed while importing _pywrap_tensorflow_internal: The specified module could not be found.
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-18-f05745da3b73> in <module>
----> 1 from tensorflow.keras.models import Sequential
~\Python\lib\site-packages\tensorflow\__init__.py in <module>
39 import sys as _sys
40
---> 41 from tensorflow.python.tools import module_util as _module_util
42 from tensorflow.python.util.lazy_loader import LazyLoader as _LazyLoader
43
~\Python\lib\site-packages\tensorflow\python\__init__.py in <module>
37 # go/tf-wildcard-import
38 # pylint: disable=wildcard-import,g-bad-import-order,g-import-not-at-top
---> 39 from tensorflow.python import pywrap_tensorflow as _pywrap_tensorflow
40
41 from tensorflow.python.eager import context
~\Python\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in <module>
81 for some common reasons and solutions. Include the entire stack trace
82 above this error message when asking for help.""" % traceback.format_exc()
---> 83 raise ImportError(msg)
84
85 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
ImportError: Traceback (most recent call last):
File "C:\Users\saksh\Python\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 64, in <module>
from tensorflow.python._pywrap_tensorflow_internal import *
ImportError: DLL load failed while importing _pywrap_tensorflow_internal: The specified module could not be found.
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.
Error message says that some DLL files failed load, this because Tensorflow package is not installed properly.
Reason might be you not installed the MSVC 2019 redistributable or
Your CPU does not support AVX2 instructions.
Install the software requirements and make sure your system meet hardware requirements mentioned on the Tensorflow install document.

ImportError: DLL load failed with error code 3221225501 tensorflow

I get the above mentioned error code when importing tensorflow the used version is 1.14 in a separate environment the installation is succesful, through pip install in anaconda, windows 7, installing cudam toolkit, but yet unable to import tensorflow successfully
i get this error
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
~\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in <module>
57
---> 58 from tensorflow.python.pywrap_tensorflow_internal import *
59 from tensorflow.python.pywrap_tensorflow_internal import __version__
~\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py in <module>
27 return _mod
---> 28 _pywrap_tensorflow_internal = swig_import_helper()
29 del swig_import_helper
~\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py in swig_import_helper()
23 try:
---> 24 _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
25 finally:
~\Anaconda3\lib\imp.py in load_module(name, file, filename, details)
241 else:
--> 242 return load_dynamic(name, filename, file)
243 elif type_ == PKG_DIRECTORY:
~\Anaconda3\lib\imp.py in load_dynamic(name, path, file)
341 name=name, loader=loader, origin=path)
--> 342 return _load(spec)
343
ImportError: DLL load failed with error code 3221225501
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-1-64156d691fe5> in <module>
----> 1 import tensorflow as tf
~\Anaconda3\lib\site-packages\tensorflow\__init__.py in <module>
26
27 # pylint: disable=g-bad-import-order
---> 28 from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
29 from tensorflow.python.tools import module_util as _module_util
30
~\Anaconda3\lib\site-packages\tensorflow\python\__init__.py in <module>
47 import numpy as np
48
---> 49 from tensorflow.python import pywrap_tensorflow
50
51 # Protocol buffers
~\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py in <module>
72 for some common reasons and solutions. Include the entire stack trace
73 above this error message when asking for help.""" % traceback.format_exc()
---> 74 raise ImportError(msg)
75
76 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
ImportError: Traceback (most recent call last):
File "C:\Users\Neuralserver\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "C:\Users\Neuralserver\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "C:\Users\Neuralserver\Anaconda3\lib\site-packages\tensorflow\python\pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
File "C:\Users\Neuralserver\Anaconda3\lib\imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "C:\Users\Neuralserver\Anaconda3\lib\imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: DLL load failed with error code 3221225501
Try to access after installing proper CUDA Reference 1, Reference 2
I encountered this error while installing Tensorflow 2.x in a conda environment without CUDA on windows 7.
Ultimately, I managed to install Tensorflow as part of setting up a new conda environment. This was my environment file which managed the install:
# This file defines a conda environment.
# Run as: conda env create -f dev_environment.yml
# Remove old environment using: conda env remove --name dev
name: dev
channels:
- conda-forge
dependencies:
- python=3.7
- notebook
- numpy
- pandas
- tensorflow-mkl=2.1 # <-
- tensorflow-estimator==2.1 # <- (Needed to avoid AttributeError)
I also installed the Microsoft Visual C++ Redistributable, as mentioned in the installation docs as part of my search to get things workings, but I am unsure whether this is vital or not.
Some further remarks:
At the time of writing, tensorflow 2.2 was already available on conda, but gave a AttributeError when importing
Using pip always gave the error described by OP (pip install tensorflow or pip install tensorflow-cpu). I am unsure what the difference is between the pip and conda versions.
Tensorflow hardware requirements mention TF uses AVX cpu instructions starting from version 1.6. However, I was able to install TF using the above method on a machine with an intel i9 cpu, which does not support AVX instructions.

Unable to import tensorflow in jupyter notebook (Linux Mint 19)

I am a beginer in jupyter and tensorflow. I tried to install tensorflow but it doesn't work. I did try several of your advice that has been posted before but nothing seems to work.
virtualenv --version
15.1.0
python3 --version
Python 3.6.7
pip3 --version
pip 19.1.1 from /usr/local/lib/python3.6/dist-packages/pip (python 3.6)
I tried to pip install tensorflow but it keeps giving me this error:
import tensorflow as tf
ImportError Traceback (most recent call last)
/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
57
---> 58 from tensorflow.python.pywrap_tensorflow_internal import *
59 from tensorflow.python.pywrap_tensorflow_internal import __version__
/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py in <module>()
27 return _mod
---> 28 _pywrap_tensorflow_internal = swig_import_helper()
29 del swig_import_helper
/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py in swig_import_helper()
23 try:
---> 24 _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
25 finally:
/usr/lib/python3.6/imp.py in load_module(name, file, filename, details)
242 else:
--> 243 return load_dynamic(name, filename, file)
244 elif type_ == PKG_DIRECTORY:
/usr/lib/python3.6/imp.py in load_dynamic(name, path, file)
342 name=name, loader=loader, origin=path)
--> 343 return _load(spec)
344
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-3-64156d691fe5> in <module>()
----> 1 import tensorflow as tf
/home/tzions/.local/lib/python3.6/site-packages/tensorflow/__init__.py in <module>()
22
23 # pylint: disable=wildcard-import
---> 24 from tensorflow.python import *
25 # pylint: enable=wildcard-import
26
/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/__init__.py in <module>()
47 import numpy as np
48
---> 49 from tensorflow.python import pywrap_tensorflow
50
51 # Protocol buffers
/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
72 for some common reasons and solutions. Include the entire stack trace
73 above this error message when asking for help.""" % traceback.format_exc()
---> 74 raise ImportError(msg)
75
76 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
ImportError: Traceback (most recent call last):
File "/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/tzions/.local/lib/python3.6/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/tzions/.local/lib/python3.6/site-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/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
Failed to load the native TensorFlow runtime.
See https://www.tensorflow.org/install/install_sources#common_installation_problems
for some common reasons and solutions. Include the entire stack trace
above this error message when asking for help.
It would be great if someone can tell me how to make it work. I have installed several other things that have been pointed out as necessary and if anything else needs to be installed please let me know.
On import, the code is looking for a libcublas.so.9.0 folder you would have if your CUDA version were 9.0, but if it is an other version, 9.1 for instance, then this folder is not found because the final number is different.
When you install tensorflow-gpu-1.5, it requires CUDA 9.0, so you can fix that installing tensorflow-gpu-1.4 if your CUDA version is 8.0, because it will be the one required, with:
pip install --upgrade tensorflow-gpu==1.4
If your CUDA version is a later one like CUDA 9.1, you can downgrade CUDA version to 9.0 if you do not need later functionalities, with:
sudo apt-get install cuda-9.0
and stay with tensorflow-gpu-1.5.

Google Colab: ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory

I have been trying to run some tensorflow projects on Google Colab, but everytime I get the error below. I have checked that GPU is enabled, and I tried to use instead tensorflow-gpu 1.4.0 with similar results. Any ideas?
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
57
---> 58 from tensorflow.python.pywrap_tensorflow_internal import *
59 from tensorflow.python.pywrap_tensorflow_internal import __version__
/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py in <module>()
27 return _mod
---> 28 _pywrap_tensorflow_internal = swig_import_helper()
29 del swig_import_helper
/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py in swig_import_helper()
23 try:
---> 24 _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
25 finally:
/usr/lib/python3.6/imp.py in load_module(name, file, filename, details)
242 else:
--> 243 return load_dynamic(name, filename, file)
244 elif type_ == PKG_DIRECTORY:
/usr/lib/python3.6/imp.py in load_dynamic(name, path, file)
342 name=name, loader=loader, origin=path)
--> 343 return _load(spec)
344
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-6-df440c95c76a> in <module>()
9
10 import numpy as np
---> 11 import tensorflow as tf
12
13 import tflib as lib
/usr/local/lib/python3.6/dist-packages/tensorflow/__init__.py in <module>()
22
23 # pylint: disable=g-bad-import-order
---> 24 from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
25
26 try:
/usr/local/lib/python3.6/dist-packages/tensorflow/python/__init__.py in <module>()
47 import numpy as np
48
---> 49 from tensorflow.python import pywrap_tensorflow
50
51 from tensorflow.python.tools import component_api_helper
/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
72 for some common reasons and solutions. Include the entire stack trace
73 above this error message when asking for help.""" % traceback.format_exc()
---> 74 raise ImportError(msg)
75
76 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
ImportError: Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.6/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/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.9.0: 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.
---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
To view examples of installing some common dependencies, click the
"Open Examples" button below.
---------------------------------------------------------------------------
I struggled with this issue for some hours, here is what works for me.
As #Bob Smith mentioned the issue if with the version of CUDA on colab, you can check it using this command :
cat /usr/local/cuda/version.txt
Then you run the following command line by line to install a lower version of CUDA
wget https://developer.nvidia.com/compute/cuda/9.0/Prod/local_installers/cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb
dpkg -i cuda-repo-ubuntu1604-9-0-local_9.0.176-1_amd64-deb
apt-key add /var/cuda-repo-9-0-local/7fa2af80.pub
apt-get update
apt-get install cuda=9.0.176-1
And yupi everything works now, at least at my side :)

Tensorflow won't import in Colab

I'm new to ML and Colab. Trying to play around with the project at https://github.com/tkarras/progressive_growing_of_gans but having a hard time getting it running in Colab.
When I run the import_example.py script from the project, I get immediate errors relating to Tensorflow not loading. So I tried stepping back and simply doing import tensorflow as tf. When I run this, I get the below errors. I've got the runtime set to GPU. I was getting the same issue yesterday with the Colab demo GPU code, but that's working today.
Can anyone give me any pointers? It seems like basic stuff that should just work in the environment.
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
57
---> 58 from tensorflow.python.pywrap_tensorflow_internal import *
59 from tensorflow.python.pywrap_tensorflow_internal import __version__
/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py in <module>()
27 return _mod
---> 28 _pywrap_tensorflow_internal = swig_import_helper()
29 del swig_import_helper
/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py in swig_import_helper()
23 try:
---> 24 _mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
25 finally:
/usr/lib/python3.6/imp.py in load_module(name, file, filename, details)
242 else:
--> 243 return load_dynamic(name, filename, file)
244 elif type_ == PKG_DIRECTORY:
/usr/lib/python3.6/imp.py in load_dynamic(name, path, file)
342 name=name, loader=loader, origin=path)
--> 343 return _load(spec)
344
ImportError: libcublas.so.9.0: cannot open shared object file: No such file or directory
During handling of the above exception, another exception occurred:
ImportError Traceback (most recent call last)
<ipython-input-8-64156d691fe5> in <module>()
----> 1 import tensorflow as tf
/usr/local/lib/python3.6/dist-packages/tensorflow/__init__.py in <module>()
22
23 # pylint: disable=g-bad-import-order
---> 24 from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
25
26 try:
/usr/local/lib/python3.6/dist-packages/tensorflow/python/__init__.py in <module>()
47 import numpy as np
48
---> 49 from tensorflow.python import pywrap_tensorflow
50
51 from tensorflow.python.tools import component_api_helper
/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
72 for some common reasons and solutions. Include the entire stack trace
73 above this error message when asking for help.""" % traceback.format_exc()
---> 74 raise ImportError(msg)
75
76 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
ImportError: Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow.py", line 58, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.6/dist-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.6/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/python3.6/imp.py", line 243, in load_module
return load_dynamic(name, filename, file)
File "/usr/lib/python3.6/imp.py", line 343, in load_dynamic
return _load(spec)
ImportError: libcublas.so.9.0: 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.
---------------------------------------------------------------------------
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
To view examples of installing some common dependencies, click the
"Open Examples" button below.
---------------------------------------------------------------------------
Even I was facing the same issue. Later I realized I forgot to enable GPU in notebook settings.
I enabled it and installed TensorFlow-GPU (GPU version).
You can find notebook settings in Edit > Notebook Settings.
Here's the screenshot
Check if you have installed the version of tensorflow that you need in Colab or not?! (Maybe you have installed a different version of tensorflow-gpu and you have not installed the corresponding tensorflow version. I got the same error in this case)
!pip list
If you do not have tensorflow in the list, you should install both tensorflow and tensorflow-gpu as follow:
!pip install tensorflow=='enter version here'
!pip install tensorflow-gpu=='enter same version as the previous one here'
You just have to read the error carefully:
NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.
Try running:
!pip install tensorflow
inside notebook, and then rerun the cell with the import.
TensorFlow is included by default in Colab. So, I suspect you've somehow broken the existing install.
You can request a new backend by selecting the Runtime -> Reset all runtimes... menu. Then, try import tensorflow as tf again.