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Ubuntu/R-3.5.0: install_keras() fails with "Error: Error 1 occurred installing TensorFlow" #434
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I would try removing the virtualenv before upgrading. So |
Thanks for input - Unfortunately, this did not resolve the issue:
|
If you want to install for all server users you should do a regular |
Thanks for the link - I will look into it! |
Now I have tried working on the issue for a considerable amount of time, but alas, I am still stuck. The issue somehow seem to pertain to
If I then try to get the pip version installed with
Any suggestions? |
This is an issue that some (very few as far as I can tell) Python systems get into after an upgrade to pip 10. Here are some additional details: pypa/pip#5240. I'm hoping that thread has a way to get your system out of this state. |
Thanks for the link, I did come across it during the last couple of days. Unfortunately, so far I have yet to resolve the issue. I will make sure to come back to this thread, when I succeed. |
Slight progress - The virtual environment pip looks like so:
and fails like so:
However, if I change the
But, when I issue the command I need to somehow avoid the automatic update of |
My impression is that once you resolve the issue the automatic update should be okay. So you could simply comment out the automatic updates for one install and see if that makes the problem go away for good. |
I was thinking something along those lines and I can see I need to look at
I tried copying the entire function to (On a side note... In Danish "pip" is synonym for crazy, which is not far from my current state-of-mind...) |
These are the lines to comment out: https://github.com/rstudio/tensorflow/blob/master/R/install.R#L427-L434 |
@leonjessen Did you have any success. Having exactly the same problem. |
Ok, this works for me.
|
Been away for the WhyR conference and currently semi-offline, I’ll check up on this asap |
@ewenharrison Thank you! This has been driving me crazy for two days. |
I've just made a change to only update pip (and related tools) when pip is < v8.1 (the recommended minimum for installing TF). This should eliminate this issue entirely on newer systems (that code is really there for the built-in Python on Mac OS X, which has an ancient pip v7. |
Despite numerous attempts, I am still unable to get it to work. As it is clearly a |
@leonjessen Does the output now show that you are calling pip 9.0.3? You should not get the "main" issue with this. You are definitely using the files I attached above? |
A pip maintainer here! 👋 You should be able to use |
Cheers @ewenharrison, back from holidays, we're on the same page with your files, right up until:
|
Can you provide the output during installation. |
Sure thing @ewenharrison:
There is some sort of problem with which version installed python is being called, but I cannot seem to find a solution. Any input is much appreciated! 👍 |
I'd try with the standard package before the GPU version.
…On 6 August 2018 at 08:43, Leon Eyrich Jessen ***@***.***> wrote:
Sure thing @ewenharrison <https://github.com/ewenharrison>:
> source("install_tensorflow/install.R")
> source("install_tensorflow/utils.R")
install_tensorflow(version = "gpu", extra_packages = "keras")
Creating virtualenv for TensorFlow at ~/.virtualenvs/r-tensorflow
Already using interpreter /usr/bin/python
New python executable in /home/jessen/.virtualenvs/r-tensorflow/bin/python
Installing setuptools, pip...done.
Upgrading pip ...
Collecting pip==9.0.3
/home/jessen/.virtualenvs/r-tensorflow/local/lib/python2.7/site-packages/pip/_vendor/urllib3/util/ssl_.py:339: SNIMissingWarning: An HTTPS request has been made, but the SNI (Subject Name Indication) extension to TLS is not available on this platform. This may cause the server to present an incorrect TLS certificate, which can cause validation failures. You can upgrade to a newer version of Python to solve this. For more information, see https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
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Downloading https://files.pythonhosted.org/packages/ac/95/a05b56bb975efa78d3557efa36acaf9cf5d2fd0ee0062060493687432e03/pip-9.0.3-py2.py3-none-any.whl (1.4MB)
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Installing collected packages: pip
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You are using pip version 10.0.1, however version 18.0 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
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Collecting wheel
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You should consider upgrading via the 'pip install --upgrade pip' command.
Upgrading setuptools ...
Collecting setuptools
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You should consider upgrading via the 'pip install --upgrade pip' command.
Installing TensorFlow ...
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/home/jessen/.virtualenvs/r-tensorflow/local/lib/python2.7/site-packages/pip/_vendor/urllib3/util/ssl_.py:137: InsecurePlatformWarning: A true SSLContext object is not available. This prevents urllib3 from configuring SSL appropriately and may cause certain SSL connections to fail. You can upgrade to a newer version of Python to solve this. For more information, see https://urllib3.readthedocs.io/en/latest/advanced-usage.html#ssl-warnings
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Building wheels for collected packages: pyyaml, termcolor, absl-py, gast
Running setup.py bdist_wheel for pyyaml ... done
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Successfully built pyyaml termcolor absl-py gast
Installing collected packages: six, funcsigs, pbr, mock, futures, enum34, grpcio, termcolor, numpy, wheel, setuptools, protobuf, markdown, werkzeug, tensorboard, backports.weakref, absl-py, gast, astor, tensorflow-gpu, h5py, pyyaml, idna, urllib3, chardet, certifi, requests, Pillow, scipy, keras-applications, keras-preprocessing, keras
Successfully installed Pillow-5.2.0 absl-py-0.3.0 astor-0.7.1 backports.weakref-1.0.post1 certifi-2018.4.16 chardet-3.0.4 enum34-1.1.6 funcsigs-1.0.2 futures-3.2.0 gast-0.2.0 grpcio-1.14.0 h5py-2.8.0 idna-2.7 keras-2.2.2 keras-applications-1.0.4 keras-preprocessing-1.0.2 markdown-2.6.11 mock-2.0.0 numpy-1.15.0 pbr-4.2.0 protobuf-3.6.0 pyyaml-3.13 requests-2.19.1 scipy-1.1.0 setuptools-40.0.0 six-1.11.0 tensorboard-1.9.0 tensorflow-gpu-1.9.0 termcolor-1.1.0 urllib3-1.23 werkzeug-0.14.1 wheel-0.31.1
You are using pip version 10.0.1, however version 18.0 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
Installation complete.
> library(tensorflow)
Attaching package: ‘tensorflow’
The following object is masked _by_ ‘.GlobalEnv’:
install_tensorflow
> sess = tf$Session()
Error: Installation of TensorFlow not found.
Python environments searched for 'tensorflow' package:
/home/jessen/.virtualenvs/r-tensorflow/bin/python
/usr/bin/python2.7
/usr/bin/python3.4
You can install TensorFlow using the install_tensorflow() function.
There is some sort of problem with which version installed python is being
called, but I cannot seem to find a solution. Any input is much
appreciated! 👍
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Ewen M Harrison MB ChB MSc PhD FRCS (Gen Surg)
Senior Lecturer in General Surgery | Consultant Transplant and
Hepatobiliary Surgeon
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GlobalSurg <http://globalsurg.org> Research Collaborative Lead
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I understand, but It has to be the GPU version... It's a petty letting a perfectly nice nvidia tesla card sitting idle - I need to put it to work 👍 |
To debug your installation install the CPU version.
Then start on the necessary systems required for the GPU system.
https://tensorflow.rstudio.com/tools/local_gpu.html
…On 6 August 2018 at 08:59, Leon Eyrich Jessen ***@***.***> wrote:
I understand, but It has to be the GPU version... It's a petty letting a
perfectly nice nvidia tesla card sitting idle - I need to put it to work
👍
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Ewen M Harrison MB ChB MSc PhD FRCS (Gen Surg)
Senior Lecturer in General Surgery | Consultant Transplant and
Hepatobiliary Surgeon
ChM General Surgery <http://www.chm.rcsed.ac.uk> Programme Director|
GlobalSurg <http://globalsurg.org> Research Collaborative Lead
Surgical Informatics | Centre for Medical Informatics | Usher
Institute | University
of Edinburgh
<http://www.ed.ac.uk/schools-departments/surgery/staff/surgical-profiles/ewen-harrison>
Mobile: +44 (0) 797 442 0495 | [email protected] | Twitter:
@ewenharrison | Web: DataSurg <http://datasurg.net> | SurgicalInformatics
<http://surgicalinformatics.org>
|
Hi Leon, were you able to solve this, so we could close the issue? If not, I can understand this
very well, so I'm just asking, very pragmatically, does it have to be virtualenv? So far, I've never had any problems using conda... |
No need to re-open, just wanted to give my final verdict: I had to give up! I spend hours and hours looking online and tried all proposed solutions and nothing worked. Once your system is caught in an inconsistent state with pip, then you are in deep deep trouble. On my Ubuntu 14.04 I was able to get tensorflow up and running after installing |
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On Ubuntu 14.04 and R-3.5.0 I'm trying to install keras like so:
But then I get:
Any hints are very welcome?
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