How do you install Bazel in a python2 environment? The tensorflow website has an error posted on the such as this "Caution: Because of an bazel bug, we only support building the Android demo app within a Python 2 environment", (See related Bazel installation on windows">Bazel installation on Windows). How do you install Bazel in a python2 environment( to get apps working on Windows, using bazel)? The Bazel install in a python2 environment may be a workaround for the error shown earlier on the Tensorflow website, they do not seem to have any other workarounds known.
Download and install Python2 (e.g. from python.org: Python 2.7.15, 64-bit version[1])
Use the --python_path flag[2] to tell Bazel where's the Python interpreter.
For example if you installed Python2 under c:\python2, run Bazel like so:
c:\tensorflow> bazel build --python_path=c:/python2/python.exe //foo:bar
If you want Bazel to always use this flag in this workspace (c:\tensorflow), add the following line to c:\tensorflow\.bazelrc:
build --python_path=c:/python2/python.exe
(You may need to add this line every time you re-run the configure script.)
Update: here's more info about .bazelrc files[3], what they are, where they are, how to specify them.
[1] https://www.python.org/ftp/python/2.7.15/python-2.7.15.amd64.msi
[2] https://docs.bazel.build/versions/master/command-line-reference.html
[3] https://docs.bazel.build/versions/master/user-manual.html#bazelrc
Related
I have been trying to install ONOS using Bazel's new version i.e., Bazel-5.1.1 in Ubuntu 20.04 LTS for mininet/containernet. I have been having issues regarding Bazel build onos command. I have searched for the installation process all over and tried as well many. But have similar issues. Is there any link or article where there is a clear step-by-step procedure to do so? I am having a task for the installation which I need to finish in a week. Any help would be appreciated. Thanks in Advance.
The error I get:
sendate#sendate04:~/onos$ bazel build onos
ERROR: The project you're trying to build requires Bazel 3.7.2 (specified in /home/sendate/onos/.bazelversion), but it wasn't found in /home/sendate/.bazel/bin.
Bazel binaries for all official releases can be downloaded from here:
https://github.com/bazelbuild/bazel/releases
You can download the required version directly using this command:
(cd "/home/sendate/.bazel/bin" && curl -fLO https://releases.bazel.build/3.7.2/release/bazel-3.7.2-linux-x86_64 && chmod +x bazel-3.7.2-linux-x86_64)
I tried doing the steps given like downloading the same version and also tried to change the version in the .bazelversion file. But nothing succeeded in Bazel build.
1.bazel —-version
If you didn’t download bazel version 3.7.x download it. If you download java version 11.You need create java default symbolic link. It will be /bar/lib/jam. . Test echo $PATH it will give ONON path. Then run sudo apt install —-reinstall build-essential. Build onos
I am trying to install TensorFlow on Linux, Ubuntu 18.10 by following these instructions: https://www.tensorflow.org/install/
I am using python 2.7
I first tried to install it using the pip package and after:
pip install --user --upgrade tensorflow # install in $HOME
I got a message to say that tensorflow 1.12.0 was successfully installed, however when I did the next line:
python -c "import tensorflow as tf; tf.enable_eager_execution(); print(tf.reduce_sum(tf.random_normal([1000, 1000])))"
I got the error
The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine
I then tried to build from source and it failed when I tried to checkout the current branch
bazel test -c opt -- //tensorflow/... -//tensorflow/compiler/... -//tensorflow/lite/...
I skipped the GPU steps as this said optional but am wondering if it is needed?
Not 100% certain what you have going on but in short no Tensorflow does not require a GPU and you shouldn't have to build it from source unless you just feel like it.
Might I suggest you try uninstalling whatever version of Tenforflow you might have, and then reinstall it.
# Try both of these just to be safe
pip uninstall tensorflow
pip uninstall tensorflow-gpu
# I recommend using conda when possible
conda install tensorflow
# but if you don't have conda then pip will work just fine
pip install tensorflow
The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine
Of note that this is a warning only and would not stop TF from running proprely.
TF version you can install from PIP is compiled to be usable on a broad range of systems, but TF can be compiled with system-specific optimizations from source. This warning is intended to remind you of it.
See also https://github.com/tensorflow/tensorflow/issues/7778
I am trying to build from source for RedHawk installation and trying to replace uhd3.5.3 with a higher version of uhd for USRP_UHD module. I saw USRP_UHD source code, but found nowhere for uhd3.5.3 source code. I am guessing it might simply use "yum install ..." to download and install uhd host code and suporting libraries. Does anybody know where this code is located in redhawk_src_2.0 package? Or is there an efficient way in linux to search for this among all the files in redhawk_src_2.0 package?
Thanks in advance!
UHD is the USRP Harware driver softwware from Ettus Research. The UHD is distributed from:
http://files.ettus.com/binaries/uhd_stable/
Version 3.5.3 is here:
http://files.ettus.com/binaries/uhd_stable/uhd_003.005.003-release/
The current release is 3.9.2:
http://files.ettus.com/binaries/uhd_stable/uhd_003.009.002-release/
Hopefully this helps. I wasn't 100% sure what you are asking for.
First, clone the uhd library:
git clone git://github.com/EttusResearch/uhd.git
Then checkout the 3.9.2 tag:
git checkout release_003_009_002
Using the instructions from Ettus (http://files.ettus.com/manual/page_build_guide.html), install the dependencies listed under the Fedora section:
sudo yum -y install boost-devel libusb1-devel python-mako doxygen python-docutils cmake make gcc gcc-c++
Next, generate the Makefiles with CMake:
cd <uhd-repo-path>/host
mkdir build
cd build
cmake -DCMAKE_INSTALL_PREFIX=/opt/uhd ../
I recommend using an alternate install prefix at first to preserve the 3.5.3 version, just in case, but if you don't want to, just run:
cmake ../
instead of the longer command with the -DCMAKE_INSTALL_PREFIX flag. (Note: I couldn't get cmake to find the installed boost version, so you may have to do some other research on that since it is probably a whole different stackoverflow post in and of itself)
Now build and install the uhd library:
make
make test
sudo make install
Now that the library is installed, you should edit the USRP_UHD/cpp/configure.ac so that the PKG_CONFIG_PATH points to your install prefix (either the one specified in the flag above, or if you did the default, just leave it, as it should already be pointing to /usr/local/lib/pkgconfig). Also in the configure.ac file, make sure to change the uhd version number to 3.9.2.
Now you should be able to rebuild the USRP_UHD Device:
./reconf && ./configure && make install
I don't guarantee that the Device will build against the new version of the uhd library, that will depend on what (if anything) has been deprecated an removed from the library between the supported version and the newest one.
Finally, if you get through all of those steps successfully and if you specified a non-standard install prefix, you will have to add this prefix to either the LD_LIBRARY_PATH or an /etc/ld.so.conf.d/ script in order for the Device to correctly execute.
Clarification - you can follow the Redhawk manual appendix B for building Redhawk from source AFTER installing UHD v3.9.3 from source as per pwolframs instructions. The UHD v3.5.3 is not packaged with the Redhawk source code, only the Redhawk RPM, disregard all those RPMs when building UHD and Redhawk from source.
I'm trying to use the GLPK solver with Pyomo. I have a working model that's been tested, but keep getting an error saying GLPK can't be found.
WARNING: Could not locate the 'glpsol' executable, which is required for solver 'glpk'
I've installed glpk sucessfully. I also added the directory to my path variable so the executed can be called globally. I tested this with glpsol --help from my command line, and see the help info printed.
The below thread says it should be working, but alas, it is not.
How do you install glpk-solver along with pyomo in Winpython
Any ideas?
This answer is late but I want to share the solution that worked for me.
solvername='glpk'
solverpath_folder='C:\\glpk\\w64' #does not need to be directly on c drive
solverpath_exe='C:\\glpk\\w64\\glpsol' #does not need to be directly on c drive
I used to do this:
sys.path.append(solverpath_folder)
solver=SolverFactory(solvername)
This works for the cbc solver in coin-or but it does not work for glpk. Then I tried something different:
solver=SolverFactory(solvername,executable=solverpath_exe)
This worked for both cbc and glpk. No idea why this works (I really didn't do anything else).
Version: Python 2.7 or Python 3.7 (tested both), glpk 4.65
You can install glpk solver using this command -
brew install glpk
Installing the glpk package worked for me. As I use Anaconda:
conda install -c conda-forge glpk
This was after already including the 'glpsol' exectuable's folder path in my PATH variables.
So it looks like the set path variable is not handled by your Python installation.
A normal Python installation is set up for a seperated "PYTHONPATH" environment variable to look up additional modules.
There is also the option to make an entry in the windows registry or (like you already mentioned) move the files to the Python home directory, which is recognized relative to your installation directory if "PYTHONHOME" is not set.
More information in the Python Documentary under 3.3.3.
https://docs.python.org/2/using/windows.html#finding-modules
I was having the same issue. I don't know if this is a solution but it definitely got the solver working.
After downloading the Windows installation. I copied all the files in the w64 folder and pasted them directly into my Python working directory.
After that my python code could locate the solver.
NOTE: this was for Python 3.4.3.4, Windows 8.1 64 bit
Reading the source code here suggests you try:
from pyutilib.services import register_executable, registered_executable
register_executable(name='glpsol')
maybe will it give a clue
I had the same issue on Windows 10 and it was down to glpk being installed in a different conda environment. Full steps for installing pyomo and glpk below.
Test the installation by running 'Repeated Solves' example from https://pyomo.readthedocs.io/en/latest/working_models.html
Instructions (run at an anaconda prompt)
conda create --name myenv
conda activate myenv
conda install -c conda-forge pyomo
conda install -c conda-forge pyomo.extras
conda install -c conda-forge glpk
Run spyder from myenv so that if finds everything
spyder activate myenv
Here is the relevant part where pyomo 6.2 searches for the glpsol executable
https://github.com/Pyomo/pyomo/blob/568c6595a56570c6ea69c3ae3198b73b9f473abd/pyomo/common/fileutils.py#L288
def _path():
return (os.environ.get('PATH','') or os.defpath).split(os.pathsep)
There are two options to solve the PATH problem:
Putting the executable in an available folder in PATH (recommended practice). The glpsol executable must be in one of the folders present in the PATH system environment variable. Use in your code print(os.environ['PATH']) to see the available folders and put it there.
Adding the folder to PATH at runtime. You can add it to the system PATH statically or use code to add it dynamically (only while your script is running):
GLPK_FOLDER_PATH = "path/to/glpk"
os.environ["PATH"] += os.pathsep + str(GLPK_FOLDER_PATH)
In my case, my Python project has a virtual environment .venv, and I have an installation process that pastes the files essential to the glpsol executable when I install the project inside the .venv/Scripts folder. Because that folder is added automatically to the system PATH when Python is called from the virtual environment, libraries like Pyomo can find it. And I don't have to remember to add the folder to PATH at runtime whenever I want to use Pyomo.
For anyone that has the same issue, I found a workaround (not a solution!). I copied all the glpk files into my C:/Python27 directory, and (Surprise!) Python can now find them.
I'll hold out for a real solution before accepting this one.
I am configuring pygtk in my centos 5.4 machine. But I am facing few issues.
I want pygtk to be configured to Python 2.7(The default python version is Python 2.4 in centos 5)
So I installed Python 2.7 with different --prefix to my local space and then installed pygobject2.28 and then pygtk2.24 with the --prefix="where python 2.7 installed".
But when I run python2.7 interpreter I am able to import pygtk but, when I try to import gtk it says "no module named gtk."
I have configured PYTHONPATH and PYTHON environment variables to python2.7/lib/site-packages and python2.7 respectively.
My questions:
if pygtk is a wrapper for gtk then why am not able to import gtk, when I am able to import pygtk.
Where does python(or pygtk) pick the gtk from?
And how can I solve the above problem!?
I tried google and other stack overflow questions. But none of them answered the above quesions.
I wasn't checking the ./configure output properly. The problem was, I was trying to install gtk and pygtk without installing cairo and pango. So pygtk skipped building gtk packages because it did not find any cairo package. This was mentioned in the ./ configure script but I had not checked that.
Summarizing:
To configure pygtk to python need to folow these steps
install sqlite-devel #If sqlite needed
install python(2.7)
install gtk(2.24.0) -> requires glib(2.27.3), atk(1.29.2), cairo(1.8.10), pango(1.22.4), gdk-pixbuf(2.21.3)
install pygtk(2.24.0) -> requires pygobject-2.28.3, pycairo(1.8.10)
All the above packages must be compiled to the same prefix, and need to set the PYTHON and PATHONPATH environment variables. The versions of packages also play major role. Added version in parenthesis that worked for me.
There are many dependencies while installing some of the packages so I had to install following packages using yum: libxext, librender, gettext, zlib, libgtk2-devel