I tried to make Sage from the source but I failed. It seems that the library _scproxy is missing on Yosemite. I haven't found a very helpful aid here on SO and everywhere on the net. If someone can help me. Here is the log :
Found local metadata for setuptools-12.4
Found local sources at /Users/sam/Downloads/sage-6.7/upstream/setuptools-12.4.tar.gz
Checksum: 427e916ad99a704af54b7aa3124bd52d4ebf04d3 vs 427e916ad99a704af54b7aa3124bd52d4ebf04d3
setuptools-12.4
====================================================
Setting up build directory for setuptools-12.4
Finished set up
****************************************************
Host system:
Darwin dhcp-147-65-172-203.impa.br 14.3.0 Darwin Kernel Version 14.3.0: Mon Mar 23 11:59:05 PDT 2015; root:xnu-2782.20.48~5/RELEASE_X86_64 x86_64
****************************************************
C compiler: gcc
C compiler version:
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/Users/sam/Downloads/sage-6.7/local/libexec/gcc/x86_64-apple-darwin14.3.0/4.9.2/lto-wrapper
Target: x86_64-apple-darwin14.3.0
Configured with: ../src/configure --prefix=/Users/sam/Downloads/sage-6.7/local --with-local-prefix=/Users/sam/Downloads/sage-6.7/local --with-gmp=/Users/sam/Downloads/sage-6.7/local --with-mpfr=/Users/sam/Downloads/sage-6.7/local --with-mpc=/Users/sam/Downloads/sage-6.7/local --with-system-zlib --disable-multilib --disable-nls --enable-languages=c,c++,fortran --disable-libitm --with-build-config=bootstrap-debug --without-isl --without-cloog
Thread model: posix
gcc version 4.9.2 (GCC)
****************************************************
patching file setuptools/command/easy_install.py
Hunk #1 succeeded at 1491 (offset 45 lines).
Hunk #2 succeeded at 1529 with fuzz 1 (offset 45 lines).
Hunk #3 succeeded at 1555 (offset 45 lines).
patching file pkg_resources/__init__.py
Traceback (most recent call last):
File "setup.py", line 21, in <module>
exec(init_file.read(), command_ns)
File "<string>", line 11, in <module>
File "/Users/sam/Downloads/sage-6.7/local/var/tmp/sage/build/setuptools-12.4/src/setuptools/__init__.py", line 11, in <module>
from setuptools.extension import Extension
File "/Users/sam/Downloads/sage-6.7/local/var/tmp/sage/build/setuptools-12.4/src/setuptools/extension.py", line 8, in <module>
from .dist import _get_unpatched
File "/Users/sam/Downloads/sage-6.7/local/var/tmp/sage/build/setuptools-12.4/src/setuptools/dist.py", line 16, in <module>
from setuptools.depends import Require
File "/Users/sam/Downloads/sage-6.7/local/var/tmp/sage/build/setuptools-12.4/src/setuptools/depends.py", line 6, in <module>
from setuptools import compat
File "/Users/sam/Downloads/sage-6.7/local/var/tmp/sage/build/setuptools-12.4/src/setuptools/compat.py", line 19, in <module>
from SimpleHTTPServer import SimpleHTTPRequestHandler
File "/Users/sam/Downloads/sage-6.7/local/lib/python/SimpleHTTPServer.py", line 16, in <module>
import urllib
File "/Users/sam/Downloads/sage-6.7/local/lib/python/urllib.py", line 1399, in <module>
from _scproxy import _get_proxy_settings, _get_proxies
ImportError: No module named _scproxy
real 0m0.113s
user 0m0.059s
sys 0m0.037s
************************************************************************
Error installing package setuptools-12.4
************************************************************************
Please email sage-devel (http://groups.google.com/group/sage-devel)
explaining the problem and including the relevant part of the log file
/Users/sam/Downloads/sage-6.7/logs/pkgs/setuptools-12.4.log
Describe your computer, operating system, etc.
If you want to try to fix the problem yourself, *don't* just cd to
/Users/sam/Downloads/sage-6.7/local/var/tmp/sage/build/setuptools-12.4 and type 'make' or whatever is appropriate.
Instead, the following commands setup all environment variables
correctly and load a subshell for you to debug the error:
(cd '/Users/sam/Downloads/sage-6.7/local/var/tmp/sage/build/setuptools-12.4' && '/Users/sam/Downloads/sage-6.7/sage' --sh)
When you are done debugging, you can type "exit" to leave the subshell.
************************************************************************
EDIT : Ok I don't know what was going on but I restarted for the beginning the building and this seems to work. I don't have any gcc. When i type gcc -v, one answer me that I have clang instead of it ... When i makeit at the first time, the console asked me to rename my directory opt/local because of homebrew. Is think that is what didn't work at the first time. I rename it opt/local during the compilation of sage ...
Probably this is due to a Python build (Sage's Python, that is) that didn't successfully build this module; see this sage-release thread. In principle http://trac.sagemath.org/ticket/17174 should have fixed it (see http://trac.sagemath.org/ticket/17169) but perhaps you are using a non-Sage gcc, such as homebrew? In that event you'll need to either make that change somewhere or perhaps to just use Sage's gcc, which you do with SAGE_INSTALL_GCC=yes (though that will take longer, of course). Good luck!
Related
This is a complete fresh install of MacOS!
Platform:
Apple MacBook Air - M1
MacOS Monterey
Package Info:
Homebrew: 3.3.14
pip: 22.0.3
Python: 3.9.10 (installed via 'brew install python')
Latest-Xcode
My $PATH environment:
/opt/homebrew/bin
/opt/homebrew/sbin
/usr/local/bin
/usr/bin
/bin
/usr/sbin
/sbin
I tried adding a combination of these to my $PATH, to no avail:
/opt/homebrew/lib/python3.9/site-packages
/opt/homebrew/Cellar/pyqt#5/5.15.6/lib/python3.9/site-packages/PyQt5
/opt/homebrew/lib/python3.9/site-packages/PyQt5
/opt/homebrew/opt/pyqt#5/5.15.6/bin
/opt/homebrew/opt/qt#5/5.15.6/bin
What I want to do:
pip install pyqt5
What happens when I try:
Installing build dependencies ... done
Getting requirements to build wheel ... done
Preparing metadata (pyproject.toml) ... error
error: subprocess-exited-with-error
× Preparing metadata (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [29 lines of output]
Traceback (most recent call last):
File "/opt/homebrew/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 156, in prepare_metadata_for_build_wheel
hook = backend.prepare_metadata_for_build_wheel
AttributeError: module 'sipbuild.api' has no attribute 'prepare_metadata_for_build_wheel'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/opt/homebrew/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 363, in <module>
main()
File "/opt/homebrew/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 345, in main
json_out['return_val'] = hook(**hook_input['kwargs'])
File "/opt/homebrew/lib/python3.9/site-packages/pip/_vendor/pep517/in_process/_in_process.py", line 160, in prepare_metadata_for_build_wheel
whl_basename = backend.build_wheel(metadata_directory, config_settings)
File "/opt/homebrew/Cellar/python#3.9/3.9.10/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sipbuild/api.py", line 51, in build_wheel
project = AbstractProject.bootstrap('pep517')
File "/opt/homebrew/Cellar/python#3.9/3.9.10/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sipbuild/abstract_project.py", line 83, in bootstrap
project.setup(pyproject, tool, tool_description)
File "/opt/homebrew/Cellar/python#3.9/3.9.10/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sipbuild/project.py", line 594, in setup
self.apply_user_defaults(tool)
File "project.py", line 63, in apply_user_defaults
super().apply_user_defaults(tool)
File "/opt/homebrew/Cellar/python#3.9/3.9.10/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/pyqtbuild/project.py", line 70, in apply_user_defaults
super().apply_user_defaults(tool)
File "/opt/homebrew/Cellar/python#3.9/3.9.10/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sipbuild/project.py", line 241, in apply_user_defaults
self.builder.apply_user_defaults(tool)
File "/opt/homebrew/Cellar/python#3.9/3.9.10/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/pyqtbuild/builder.py", line 67, in apply_user_defaults
raise PyProjectOptionException('qmake',
sipbuild.pyproject.PyProjectOptionException
[end of output]
note: This error originates from a subprocess, and is likely not a problem with pip.
error: metadata-generation-failed
× Encountered error while generating package metadata.
╰─> See above for output.
note: This is an issue with the package mentioned above, not pip.
hint: See above for details.
If I install it this way, I get no errors:
brew install pyqt#5
But my VS Code shows up like this, and none of submodules work:
My program used to work just fine, but I had recently installed Python 3.10 and have since uninstalled it. Ever since the new Python install, I've had this issue. Not sure how to tackle this. Thank you!
I've asked this question a number of different ways in a number of different places; none of the suggested answers work for me.
The closest thing to an answer that I got to was this:
https://www.zhihu.com/question/437075754/answer/1993415429
If you're unable to read it, it suggests this:
Pre-work, install homebrew, python 3.9.
First enter in the terminal:
brew install pyqt5
echo 'export PATH="/opt/homebrew/opt/qt#5/bin:$PATH"' >> ~/.zshrc
echo 'export PATH="/opt/homebrew/opt/pyqt#5/5.15.4_1/bin:$PATH"' >> ~/.zshrc
source ~/.zshrc
Then, copy all the contents of
/opt/homebrew/Cellar/pyqt#5/5.15.4_1/lib/python3.9/site-packages to
lib/python3.9/site-packages folder. If your homebrew installation
address and python installation address are not the default, you need
to modify these two addresses.
Finally, try it in python
import PyQt5
But this didn't work for me, either.
In the end, I ended up just installing PyQt6:
pip install PyQt6
The install completed without any errors. Now I am working on updating my code. Hopefully this will be useful for someone else coming here from an angry Google search. Code on, my friends.
I had the issue as yours. I solve with the following command.
pip3 install pyqt5
my install setup is
1.brew install qt
2.brew install libxml2
reference by TheCrazySwede answer ↓↓↓
3.brew install pyqt5
enter image description here
4.brew cleanup pyqt#5
5.echo 'export PATH="/opt/homebrew/opt/qt#5/bin:$PATH"' >> ~/.zshrc
6.echo 'export PATH="/opt/homebrew/opt/pyqt#5/5.15.4_1/bin:$PATH"' >> ~/.zshrc
7.source ~/.zshrc
8.pip3 install pyqt5-sip
9.pip3 install pyqt5
enter image description here
enter image description here
10.pip3 install lxml
11.make qt5py3
I hope can help for you.
When building Chromium or libwebrtc with gn on macOS (Catalina 10.15), I get errors from the Python build scripts about bytes and str. For example:
src [heads/master●] % gn gen out/ios_64 --args='target_os="ios" target_cpu="arm64"'
ERROR at //build/config/ios/ios_sdk.gni:109:21: Script returned non-zero exit code.
_ios_sdk_result = exec_script(script_name, ios_sdk_info_args, "scope")
^----------
Current dir: /Users/lynn/code/webrtc_ios/src/out/ios_64/
Command: python /Users/lynn/code/webrtc_ios/src/build/config/mac/sdk_info.py --get_sdk_info iphoneos
Returned 1.
stderr:
Traceback (most recent call last):
File "/Users/lynn/code/webrtc_ios/src/build/config/mac/sdk_info.py", line 107, in <module>
FillXcodeVersion(settings, args.developer_dir)
File "/Users/lynn/code/webrtc_ios/src/build/config/mac/sdk_info.py", line 59, in FillXcodeVersion
settings['xcode_version'] = FormatVersion(lines[0].split()[-1])
File "/Users/lynn/code/webrtc_ios/src/build/config/mac/sdk_info.py", line 43, in FormatVersion
major, minor, patch = SplitVersion(version)
File "/Users/lynn/code/webrtc_ios/src/build/config/mac/sdk_info.py", line 30, in SplitVersion
version = version.split('.')
TypeError: a bytes-like object is required, not 'str'
See //build/config/sysroot.gni:67:3: whence it was imported.
import("//build/config/ios/ios_sdk.gni")
^--------------------------------------
See //build/config/linux/pkg_config.gni:5:1: whence it was imported.
import("//build/config/sysroot.gni")
^----------------------------------
See //BUILD.gn:15:1: whence it was imported.
import("//build/config/linux/pkg_config.gni")
^-------------------------------------------
When I edit the offending Python script to print(sys.version), it shows that it is running Python 3, even though the scripts are supposed to running with the bundled virtual Python 2.7 environment defined in .vpython.
How do I configure gn to run these scripts with the appropriate Python version?
It seems exec_script is running these scripts with the machine Python version. gn help exec_script says:
The default script interpreter is Python ("python" on POSIX, "python.exe" or
"python.bat" on Windows). This can be configured by the script_executable
variable, see "gn help dotfile".
For me, python points to Python 3. So I had to add this line to the end of the .gn dotfile:
script_executable = "vpython"
Now the build uses the virtual Python defined in .vpython, which is Python 2.7.
(The vpython executable is provided by Chromium depot_tools, just like gn.)
I'm building TensorFlow from source code. The build appears to succeed; however, when my TensorFlow program invokes import tensorflow, one or both of the following errors appear:
ImportError: libcudart.so.8.0: cannot open shared object file: No such file or directory
ImportError: libcudnn.5: cannot open shared object file: No such file or directory
First, for the following error:
ImportError: libcudart.so.8.0: cannot open shared object file: No such file or directory
make sure your LD_LIBRARY_PATH includes your lib64 directory in whichever path you installed your cuda package in. You can do this by adding an export line in your .bashrc. For Omar, it looked like the following:
I fixed this just adding the cuda path to my .bashrc
export LD_LIBRARY_PATH=/usr/local/cuda/lib64/
For me, I had to do Omar's line and also:
export LD_LIBRARY_PATH=/usr/local/cuda-8.0/lib64/
because I have two directories involving cuda (probably not the best).
Second, are you sure you installed cuDNN? Note that this is different from the regular cuda package. You will need to register, then download and install the package from the following page:
https://developer.nvidia.com/cudnn
Third, I had this same problem:
ImportError: libcudnn.5: cannot open shared object file: No such file or directory
It turns out there is no libcudnn.5 in my /usr/local/cuda/lib64 or /usr/local/cuda-8.0/lib64 directories. However, I do have a libcudnn.so.6.* file. To solve the problem, I created a soft link:
ln -s libcudnn.so.6.* libcudnn.so.5
in my /usr/local/cuda/lib64 directory. Now everything works for me. Your directory might be different if you already had cuDNN, and your libcudnn.so.6.* might be a different version, so check that.
I came across the same issue
In [1]: import tensorflow
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
/usr/local/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
40 sys.setdlopenflags(_default_dlopen_flags | ctypes.RTLD_GLOBAL)
---> 41 from tensorflow.python.pywrap_tensorflow_internal import *
42 from tensorflow.python.pywrap_tensorflow_internal import __version__
/usr/local/lib/python3.5/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
/usr/local/lib/python3.5/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/local/lib/python3.5/imp.py in load_module(name, file, filename, details)
241 else:
--> 242 return load_dynamic(name, filename, file)
243 elif type_ == PKG_DIRECTORY:
/usr/local/lib/python3.5/imp.py in load_dynamic(name, path, file)
341 name=name, loader=loader, origin=path)
--> 342 return _load(spec)
343
ImportError: libcudnn.so.5: 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-1-a649b509054f> in <module>()
----> 1 import tensorflow
/usr/local/lib/python3.5/site-packages/tensorflow/__init__.py in <module>()
22
23 # pylint: disable=wildcard-import
---> 24 from tensorflow.python import *
25 # pylint: enable=wildcard-import
26
/usr/local/lib/python3.5/site-packages/tensorflow/python/__init__.py in <module>()
49 import numpy as np
50
---> 51 from tensorflow.python import pywrap_tensorflow
52
53 # Protocol buffers
/usr/local/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
50 for some common reasons and solutions. Include the entire stack trace
51 above this error message when asking for help.""" % traceback.format_exc()
---> 52 raise ImportError(msg)
53
54 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
ImportError: Traceback (most recent call last):
File "/usr/local/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/usr/local/lib/python3.5/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/usr/local/lib/python3.5/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/local/lib/python3.5/imp.py", line 242, in load_module
return load_dynamic(name, filename, file)
File "/usr/local/lib/python3.5/imp.py", line 342, in load_dynamic
return _load(spec)
ImportError: libcudnn.so.5: 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.
I have installed cudnn 6.0 while it needs libcudnn.so.5, apparently it couldn't find libcudnn.so.5. It seems that your tensorflow needs cudnn 5.x, so install cudnn 5.x
Make sure you have already installed cuda 8.0 and exported the PATH and LD_LIBRARY_PATH
To install cudnn 5.x, try the following commands
Extract tgz files
$ tar -zxvf cudnn-8.0-linux-x64-v5.1.tgz
Check the files
$ cd cuda/lib64/
$ ls -l
total 150908
lrwxrwxrwx 1 doom doom 13 Nov 7 2016 libcudnn.so -> libcudnn.so.5
lrwxrwxrwx 1 doom doom 18 Nov 7 2016 libcudnn.so.5 -> libcudnn.so.5.1.10
-rwxr-xr-x 1 doom doom 84163560 Nov 7 2016 libcudnn.so.5.1.10
-rw-r--r-- 1 doom doom 70364814 Nov 7 2016 libcudnn_static.a
Here you will see 2 symbolic link files, and just copy libcudnn.so.5.1.10 and libcudnn_static.a to /usr/local/cuda/lib64
Make symbolic link files
$ cd /usr/local/cuda/lib64/
$ sudo ln -s libcudnn.so.5.1.10 libcudnn.so.5
$ sudo ln -s libcudnn.so.5 libcudnn.so
$ ls -l libcudnn*
lrwxrwxrwx 1 root root 13 May 24 09:24 libcudnn.so -> libcudnn.so.5
lrwxrwxrwx 1 root root 18 May 24 09:24 libcudnn.so.5 -> libcudnn.so.5.1.10
-rwxr-xr-x 1 root root 84163560 May 24 09:23 libcudnn.so.5.1.10
-rw-r--r-- 1 root root 70364814 May 24 09:23 libcudnn_static.a
Copy cudnn.h in include directory to /usr/local/cuda/include
$ sudo cp cudnn.h /usr/local/cuda/include/
Hope it will help you!
I fixed this just adding the cuda path to my .bashrc
export LD_LIBRARY_PATH=/usr/local/cuda/lib64/
Just have in mind that first you need to go to nvidia Deep Learning page, register and download cuDNN, extract and copy the files from include and lib64 folders into your cuda installation.
I have seen a similar error (bottom of this post), but complaining about libcudnn.so.6 instead of libcudart.so.8.0 (see a note below).
Solution:
Download 'cuDNN v6.0 Library for Linux':
Go to https://developer.nvidia.com/rdp/cudnn-download
Click on 'Download cuDNN v6.0 (April 27, 2017), for CUDA 8.0'
Then click on 'cuDNN v6.0 Library for Linux'. A file (named 'cudnn-8.0-linux-x64-v6.0.tgz') will be downloaded.
Follow the instructions of Alexander Yau above to install the cuDNN v6.0 library.
Note:
the Tensorflow installation instructions (as of 20/Aug/2017) require installing cuDNN v5.1, but my Tensorflow installation (following the instructions for installing in a virtualenv) required cuDNN v6.x (as indicated by the error). I don't know if it is a mistake on my side or a Tensorflow documentation one. Nevertheless, above solution worked for me.
Encountered error:
In [1]: import tensorflow as tf
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-1-41389fad42b5> in <module>()
----> 1 import tensorflow as tf
/home/haseeb/.virtualenvs/attention_transformer/local/lib/python2.7/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/haseeb/.virtualenvs/attention_transformer/local/lib/python2.7/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/haseeb/.virtualenvs/attention_transformer/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py in <module>()
50 for some common reasons and solutions. Include the entire stack trace
51 above this error message when asking for help.""" % traceback.format_exc()
---> 52 raise ImportError(msg)
53
54 # pylint: enable=wildcard-import,g-import-not-at-top,unused-import,line-too-long
ImportError: Traceback (most recent call last):
File "/home/haseeb/.virtualenvs/attention_transformer/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow.py", line 41, in <module>
from tensorflow.python.pywrap_tensorflow_internal import *
File "/home/haseeb/.virtualenvs/attention_transformer/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 28, in <module>
_pywrap_tensorflow_internal = swig_import_helper()
File "/home/haseeb/.virtualenvs/attention_transformer/local/lib/python2.7/site-packages/tensorflow/python/pywrap_tensorflow_internal.py", line 24, in swig_import_helper
_mod = imp.load_module('_pywrap_tensorflow_internal', fp, pathname, description)
ImportError: libcudnn.so.6: 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.
As of now tensor-flow supports cuda-9.0
Do following things. Hope it helps :
$ sudo apt-get install cuda-9.0
$ export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:/usr/local/cuda-9.0/lib64
Download cuDNN for 9.0 (You need to register before downloading)
https://developer.nvidia.com/rdp/form/cudnn-download-survey
$ sudo dpkg -i libcudnn7_7.1.2.21-1+cuda9.0_amd64.deb
Close all terminal and open new
$ source activate tensorflow
$ python
>> import tensorflow as tf
You should not get any error after this.
Mysteriously, my libcudnn.so.5 was installed at ~/cuda/lib64. For people like me, you need to change
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:~/cuda/lib64"
to
export LD_LIBRARY_PATH="$LD_LIBRARY_PATH:/home/yourusername/cuda/lib64"
The preceding errors are typically caused by not specifying a version number for the Cuda SDK or cuDNN when you run the configure script. In other words, when running the configure script, always specify a version number in response to the following two questions:
Please specify the Cuda SDK version you want to use, e.g. 7.0.
Please specify the cuDNN version you want to use.
Don't accept the system defaults.
On MacOS, this issue is often caused by bazel running in a sandbox environment, thus not respecting the LD_LIBRARY_PATH set in your local shell. I wouldn't bother going into the merit of deep integration of sandboxing in a build tool.
The simple workaround is to symlink the libraries into /usr/local/lib.
cd /usr/local/lib && ln -s ../cuda/lib/libcudart.8.0.dylib
First, Install CUDA library (version 7.5) from here
Installation Instructions:
1- sudo dpkg -i cuda-repo-ubuntu1404-7-5-local_7.5-18_amd64.deb
2- sudo apt-get update
3- sudo apt-get install cuda
Second, install the cuDNN from here
Third, export cuDNN path:
export LD_LIBRARY_PATH=/usr/local/cuda/lib64/
In case you have an error like "The package libcudnnX needs to be reinstalled", follow those steps here
Check the NVIDIA requirements to run TensorFlow with GPU support (link):
CUDA® Toolkit 8.0
The NVIDIA drivers associated with CUDA Toolkit 8.0
cuDNN v6.0
GPU card with CUDA Compute Capability 3.0 or higher
The libcupti-dev library, which is the NVIDIA CUDA Profile Tools Interface
I installed the cuda v5.1 and the message below still remains:
ImportError: libcudart.so.8.0: cannot open shared object file:
No such file or directory
I so I got pissed off because everything looks fine, so I decide to check my GPU with the command (on Linux):
glxinfo | grep GeForce
And I noticed that my NVIDIA GPU is not supported:
OpenGL renderer string: **GeForce GTX 560M**/PCIe/SSE2
In this link you can find a list, like that:
So my solution was use tensor flow without GPU support. So I do:
pip uninstall tensorflow-gpu
I install whithout support:
pip install tensorflow
TensorFlow 1.2.1 is compatible with cuDNN 5.1, but not yet with 6.0. So just install cuDNN 5.1. Besides that you seem to be missing CUDA 8.0.
Common workaround general problem related to GPU, CUDA, and Docker:
A. If you are dealing with machine learning/ deep learning related deployment, use nvidia-docker and not native-docker. To install nvidia-docker follow these simple steps.
Docker containers are platform-agnostic, but also hardware-agnostic. This presents a problem when using specialized hardware such as NVIDIA GPUs which require kernel modules and user-level libraries to operate. As a result, Docker does not natively support NVIDIA GPUs within containers.
B. If you want to access GPU with docker, never build a container from scratch, you will be fried with a number of errors. Instead just use any container from Nvidia-Docker hub. Choose any specific image, copy its Dockerfile and run sudo nvidia-docker build -t happyapp .. [happyapp is your new app name]. In 5 min you will get your container ready (depends on network speed :p).
C. Never download a nvidia-docker having any cuda/cudnn version If you want to install and run Tensorflow on it. If you do so you will get libcudnn.so.6 or libcudnn.so.9 or libcusolver.so.8.0 related errors and you will hardly get around this errors.
Instead just use pre-built Tensorflow Docker image: sudo nvidia-docker run -it tensorflow/tensorflow:latest-gpu /bin/bash
I am trying to get ldap authentication to work on Plone version 4.2. I have hammered at the issue for several hours without results. I have even tried these steps:
Install python-ldap 2.6 (C:\Python26)
Install Plone 4.2 with the installer (D:\Plone)
Edit buildout.cfg with plone.app.ldap in the EGG and ZCML section
Create a new folder called python_ldap-2.3.12-py2.6.egg in D:\Plone\buildout-cache\eggs\
Copy C:\Python26\lib\site-packages\python_ldap-2.3.12-py2.6.egg-info to D:\Plone\buildout-cache\eggs\python_ldap-2.3.12-py2.6.egg\ and rename to EGG-INFO
Also copy the ldap folder in C:\Python26\lib\site-packages\ to D:\Plone\buildout-cache\eggs\python_ldap-2.3.12-py2.6.egg\
Also copy the file ldapurl.py to C:\Python26\lib\site-packages\ to D:\Plone\buildout-cache\eggs\python_ldap-2.3.12-py2.6.egg\
Next copy:
folder: C:\Python26\lib\site-packages\python_ldap-2.3.12-py2.6.egg-info
folder: C:\Python26\lib\site-packages\ldap
to D:\Plone\python\Lib\site-packages
Start commandbox and run bin\buildout
Start Plone, log in as admin and go to the extra products section. Here you will find the LDAP product. Install it and enter you LDAP details.
None of that really helped. When i try bin/buildout, I get the following message:
Installing instance.
Getting distribution for 'dataflake.fakeldap'.
zip_safe flag not set; analyzing archive contents...
Installed /tmp/easy_install-oISsVG/dataflake.fakeldap-1.0/setuptools_git-0.4.2-py2.6.egg
Got dataflake.fakeldap 1.0.
Generated script '/usr/local/Plone/zinstance/bin/instance'.
Installing zopepy.
Generated interpreter '/usr/local/Plone/zinstance/bin/zopepy'.
Installing zopeskel.
Generated script '/usr/local/Plone/zinstance/bin/zopeskel'.
Generated script '/usr/local/Plone/zinstance/bin/paster'.
Updating backup.
Updating chown.
chown: Running
echo Dummy references to force this to execute after referenced parts
echo /usr/local/Plone/zinstance/var/backups sudo -u plone
chmod 600 .installed.cfg
find /usr/local/Plone/zinstance/var -type d -exec chmod 700 {} \;
chmod 744 /usr/local/Plone/zinstance/bin/*
Dummy references to force this to execute after referenced parts
/usr/local/Plone/zinstance/var/backups sudo -u plone
Updating repozo.
Updating unifiedinstaller.
*************** PICKED VERSIONS ****************
[versions]
Products.LDAPMultiPlugins = 1.14
Products.LDAPUserFolder = 2.23
Products.PloneLDAP = 1.1
collective.sendaspdf = 2.6
dataflake.fakeldap = 1.0
jquery.pyproxy = 0.4.1
plone.app.ldap = 1.2.8
*************** /PICKED VERSIONS ***************
When I try bin/buildout, it says daemon process started and gives an id but when i try localhost:8080, it says "Problem loading page" and the page does not load. I tried bin/instance fg to display the errors and i following message.
bin/instance fg
2012-07-24 08:53:18 INFO ZServer HTTP server started at Tue Jul 24 08:53:18 2012
Hostname: 0.0.0.0
Port: 8080
2012-07-24 08:53:18 INFO Zope Set effective user to "plone"
2012-07-24 08:53:19 WARNING SecurityInfo Conflicting security declarations for "setText"
2012-07-24 08:53:19 WARNING SecurityInfo Class "ATTopic" had conflicting security declarations
2012-07-24 08:53:19 ERROR Application Could not import Products.LDAPMultiPlugins
Traceback (most recent call last):
File "/usr/local/Plone/buildout-cache/eggs/Zope2-2.13.15-py2.6.egg/OFS/Application.py", line 606, in import_product
product=__import__(pname, global_dict, global_dict, silly)
File "/usr/local/Plone/buildout-cache/eggs/Products.LDAPMultiPlugins-1.14-py2.6.egg/Products/LDAPMultiPlugins/__init__.py", line 22, in <module>
from Products.LDAPMultiPlugins.LDAPMultiPlugin import addLDAPMultiPluginForm
File "/usr/local/Plone/buildout-cache/eggs/Products.LDAPMultiPlugins-1.14-py2.6.egg/Products/LDAPMultiPlugins/LDAPMultiPlugin.py", line 29, in <module>
from Products.LDAPUserFolder import manage_addLDAPUserFolder
File "/usr/local/Plone/buildout-cache/eggs/Products.LDAPUserFolder-2.23-py2.6.egg/Products/LDAPUserFolder/__init__.py", line 20, in <module>
from Products.LDAPUserFolder.LDAPUserFolder import LDAPUserFolder
File "/usr/local/Plone/buildout-cache/eggs/Products.LDAPUserFolder-2.23-py2.6.egg/Products/LDAPUserFolder/LDAPUserFolder.py", line 52, in <module>
from Products.LDAPUserFolder.LDAPDelegate import filter_format
File "/usr/local/Plone/buildout-cache/eggs/Products.LDAPUserFolder-2.23-py2.6.egg/Products/LDAPUserFolder/LDAPDelegate.py", line 19, in <module>
import ldap
File "/usr/local/Plone/buildout-cache/eggs/python_ldap-2.3.12-py2.6.egg/ldap/__init__.py", line 22, in <module>
from _ldap import *
ImportError: No module named _ldap
Traceback (most recent call last):
File "/usr/local/Plone/buildout-cache/eggs/Zope2-2.13.15-py2.6.egg/Zope2/Startup/run.py", line 76, in <module>
run()
File "/usr/local/Plone/buildout-cache/eggs/Zope2-2.13.15-py2.6.egg/Zope2/Startup/run.py", line 22, in run
starter.prepare()
File "/usr/local/Plone/buildout-cache/eggs/Zope2-2.13.15-py2.6.egg/Zope2/Startup/__init__.py", line 86, in prepare
self.startZope()
File "/usr/local/Plone/buildout-cache/eggs/Zope2-2.13.15-py2.6.egg/Zope2/Startup/__init__.py", line 259, in startZope
Zope2.startup()
File "/usr/local/Plone/buildout-cache/eggs/Zope2-2.13.15-py2.6.egg/Zope2/__init__.py", line 47, in startup
_startup()
File "/usr/local/Plone/buildout-cache/eggs/Zope2-2.13.15-py2.6.egg/Zope2/App/startup.py", line 67, in startup
OFS.Application.import_products()
File "/usr/local/Plone/buildout-cache/eggs/Zope2-2.13.15-py2.6.egg/OFS/Application.py", line 583, in import_products
import_product(product_dir, product_name, raise_exc=debug_mode)
File "/usr/local/Plone/buildout-cache/eggs/Zope2-2.13.15-py2.6.egg/OFS/Application.py", line 606, in import_product
product=__import__(pname, global_dict, global_dict, silly)
File "/usr/local/Plone/buildout-cache/eggs/Products.LDAPMultiPlugins-1.14-py2.6.egg/Products/LDAPMultiPlugins/__init__.py", line 22, in <module>
from Products.LDAPMultiPlugins.LDAPMultiPlugin import addLDAPMultiPluginForm
File "/usr/local/Plone/buildout-cache/eggs/Products.LDAPMultiPlugins-1.14-py2.6.egg/Products/LDAPMultiPlugins/LDAPMultiPlugin.py", line 29, in <module>
from Products.LDAPUserFolder import manage_addLDAPUserFolder
File "/usr/local/Plone/buildout-cache/eggs/Products.LDAPUserFolder-2.23-py2.6.egg/Products/LDAPUserFolder/__init__.py", line 20, in <module>
from Products.LDAPUserFolder.LDAPUserFolder import LDAPUserFolder
File "/usr/local/Plone/buildout-cache/eggs/Products.LDAPUserFolder-2.23-py2.6.egg/Products/LDAPUserFolder/LDAPUserFolder.py", line 52, in <module>
from Products.LDAPUserFolder.LDAPDelegate import filter_format
File "/usr/local/Plone/buildout-cache/eggs/Products.LDAPUserFolder-2.23-py2.6.egg/Products/LDAPUserFolder/LDAPDelegate.py", line 19, in <module>
import ldap
File "/usr/local/Plone/buildout-cache/eggs/python_ldap-2.3.12-py2.6.egg/ldap/__init__.py", line 22, in <module>
from _ldap import *
ImportError: No module named _ldap
What am i doing wrong? Help wil be deeply appreciated
Your buildout ran successfully, there were no problems there. Some of the packages you picked were not pinned, so your buildout reported what versions it choose for you.
Your server itself is not indeed running because the Python LDAP egg you installed seems to be incorrectly installed. The buildout-cache/eggs/python_ldap-2.3.12-py2.6.egg/ldap/_ldap.so library file is missing.
Remove the whole egg (rm -rf buildout-cache-eggs/python_ldap-2.3.12-py2.6.egg) make sure you have the OpenLDAP 2.x library and headers installed on your system (on Ubuntu and Debian the libldap2-dev should be enough). Then re-run buildout to reinstall the egg.
Alternatively, you could try and install the system python-ldap package (remove the egg) and see if buildout picks that up instead.
You need to install 2 libs:
sudo apt-get install libldap2-dev
sudo apt-get install libsasl2-dev
Hope that will help.
I have been trying for months to get numpy installed for Python 3 but despite copious amounts of Googling and even posting to the numpy mailing list I am still no closer to a solution.
I have managed to get it installed via MacPorts but unfortunately there doesn't appear to be a port of MatPlotLib for Python 3 which is the main reason I am trying to install numpy...so I am a bit stuck...
I keep getting the same error whilst trying to build from the setup.py file. I have included the terminal output below.
Thanks for any help you can offer,
Adam.
Here is the terminal output:
lipo: can't figure out the architecture type of: /var/folders/zj/7xymy_2n3s71ws30v3v_qnlw0000gn/T//ccbRr0Hj.out
failure.
removing: _configtest.c _configtest.o
Running from numpy source directory.Traceback (most recent call last):
File "setup.py", line 214, in <module>
setup_package()
File "setup.py", line 207, in setup_package
configuration=configuration )
File "/Users/adammcnicol/Downloads/numpy-1.6.2rc1/build/py3k/numpy/distutils/core.py", line 186, in setup
return old_setup(**new_attr)
File "/Library/Frameworks/Python.framework/Versions/3.2/lib/python3.2/distutils/core.py", line 148, in setup
dist.run_commands()
File "/Library/Frameworks/Python.framework/Versions/3.2/lib/python3.2/distutils/dist.py", line 917, in run_commands
self.run_command(cmd)
File "/Library/Frameworks/Python.framework/Versions/3.2/lib/python3.2/distutils/dist.py", line 936, in run_command
cmd_obj.run()
File "/Users/adammcnicol/Downloads/numpy-1.6.2rc1/build/py3k/numpy/distutils/command/build.py", line 37, in run
old_build.run(self)
File "/Library/Frameworks/Python.framework/Versions/3.2/lib/python3.2/distutils/command/build.py", line 126, in run
self.run_command(cmd_name)
File "/Library/Frameworks/Python.framework/Versions/3.2/lib/python3.2/distutils/cmd.py", line 313, in run_command
self.distribution.run_command(command)
File "/Library/Frameworks/Python.framework/Versions/3.2/lib/python3.2/distutils/dist.py", line 936, in run_command
cmd_obj.run()
File "/Users/adammcnicol/Downloads/numpy-1.6.2rc1/build/py3k/numpy/distutils/command/build_src.py", line 152, in run
self.build_sources()
File "/Users/adammcnicol/Downloads/numpy-1.6.2rc1/build/py3k/numpy/distutils/command/build_src.py", line 169, in build_sources
self.build_extension_sources(ext)
File "/Users/adammcnicol/Downloads/numpy-1.6.2rc1/build/py3k/numpy/distutils/command/build_src.py", line 328, in build_extension_sources
sources = self.generate_sources(sources, ext)
File "/Users/adammcnicol/Downloads/numpy-1.6.2rc1/build/py3k/numpy/distutils/command/build_src.py", line 385, in generate_sources
source = func(extension, build_dir)
File "numpy/core/setup.py", line 410, in generate_config_h
moredefs, ignored = cocache.check_types(config_cmd, ext, build_dir)
File "numpy/core/setup.py", line 41, in check_types
out = check_types(*a, **kw)
File "numpy/core/setup.py", line 271, in check_types
"Cannot compile 'Python.h'. Perhaps you need to "\
SystemError: Cannot compile 'Python.h'. Perhaps you need to install python-dev|python-devel.
Well, I finally managed to get NumPy to install. Not sure it is the best method but it seems to work!
First of all i needed to install distribute:
curl http://python-distribute.org/distribute_setup.py | python3
Then I installed pip:
curl https://raw.github.com/pypa/pip/master/contrib/get-pip.py | python3
After that I had to get pip on to my system path (again there are probably better ways):
Open Terminal
Type the following (single line):
sudo ln -s /Library/Frameworks/Python.framework/Versions/3.2/bin/pip /usr/local/bin
With distribute and pip installed I then installed Nose, which NumPy needs for testing or something:
Again, in Terminal type the following:
pip install nose
Now I needed to make sure I had the latest version of Xcode:
From the AppStore install the latest version of Xcode
If you still have a /Developer folder then rename it Developer-old (not sure whether this will cause problems for me later or not)
Open Terminal and create a symlink to the AppStore version of Xcode (single line):
sudo ln -s /Applications/Xcode.app/Contents/Developer/Platforms/MacOSX.platform/Developer /Developer
With all of that out of the way time to install NumPy:
Download the NumPy source from: http://sourceforge.net/projects/numpy/files/NumPy/1.6.2rc1/
Unarchive the file
Open Terminal again:
cd into the directory created by unarchiving the file e.g.
cd /Users/username/Downloads/numpy-1.6.2rc1
Type into the Terminal the following to change the complier used to build NumPy:
export CC=clang
export CXX=clang
export FFLAGS=-ff2c
export LDSHARED='clang -bundle -undefined dynamic_lookup -arch i386 -arch x86_64 -isysroot /Developer/SDKs/MacOSX10.6.sdk -g' (this is a single line)
python3 setup.py build (this may take a while)
python3 setup.py install
Okay, assuming there were no errors NumPy should be installed. Time to test it out:
Open IDLE
In the Python Shell type:
import numpy
numpy.test('full')
This will test NumPy the final result I received with Python 3.2.3 was:
<nose.result.TextTestResult run=3192 errors=0 failures=1>
So the NumPy installation passes all except one test, which seems pretty good. I haven't had a chance to see if works properly yet as I am still struggling to get matplotlib installed...
Hope these instructions are useful to somebody!
Adam.
I'm using Python 3.3 and OS X 10.7, and I installed numpy using a much easier method than above. I'm posting here in case it can help someone.
Follow these steps:
Download the zip file from numpy on github, and unpack it wherever you want.
Open a terminal and cd to the directory
enter the command python3 setup.py build --fcompiler=gnu95 (requires gfortran. Enter gfortran -v to see if you've got it, I've got version 4.6.2)
enter python3 setup.py install
That's all it took for me. Running numpy.test('full') gives me some errors, however: http://pastebin.com/5XF0qAe5
I don't know what kind of errors I'm going to experience yet.
The above answer worked great for me, except that you mentioned this was for OS X 10.7 (same here) so my build command did complain about the line:
export LDSHARED='clang -bundle -undefined dynamic_lookup -arch i386
-arch x86_64 -isysroot /Developer/SDKs/MacOSX10.6.sdk -g' (this is a single line)
So, I just changed that to 10.7 and it worked fine. Apparently, for OS X 10.7, the /Developer/SDKs/ directory contains MacOSX10.7.sdk and MacOSX10.8.sdk. Thanks for the great answer!
I've come back to this answer a number of times, if you're using 10.8, you need to do a few things to get this to work (but I don't think you need the LDSHARED part).
Install XCode from Apple as well as the command line tools (this gets you the compilers you need).
set environment variables to point to clang and use easy_install (NOT distribute) to install, this line will work:
CC=clang CXX=clang FFLAGS=-ff2c easy_install numpy
Do not try to install other packages at the same time. The numpy install may exit claiming an error, but often it manages to install itself anyways (for example, if you try to install in a virtualenv, this may happen).
for me i installed python3 from their website and then to install numpy,
pip3 install numpy
it works!