I'm following the instruction here to build user written op library. But my tensorflow is installed with anaconda. On a step I should run the following command in terminal:
$ bazel build -c opt //tensorflow/core/user_ops:zero_out.so
But I got:
The 'build' command is only supported from within a workspace.
Tensorflow was installed by cloning it from the repository.
So where is the workspace??
A simple solution is to run touch WORKSPACE in the directory you are running the build command.
Bazel looks for an empty file named WORKSPACE in your workspace. You can also set the environment variable $WORKSPACE to another path if you don't want to use your current working directory.
There is a little more info here: https://bazel.build/versions/master/docs/tutorial/workspace.html
Related
I am trying to install Inkscape 1.2beta on Linux Ubuntu 20.04. The website currently only offers an AppImage and a source tarball. Since I would like to access the newest features of Inkscape via the command line, I need to build and install the source tarball.
INSTALL.md states that I need all submodules and dependencies before install.
How do I find these dependencies to successfully build and install Inkscape?
This list should satisfy all required dependencies on Linux Ubuntu:
apt install
cmake
imagemagick
libdouble-conversion-dev
libgdl-3-dev
libagg-dev
libpotrace-dev
libboost-all-dev
libsoup2.4-dev
libgc-dev
libwpg-dev
poppler-utils
libpoppler-dev
libpoppler-glib-dev
libpoppler-private-dev
libvisio-dev libvisio-tools
libcdr-dev
libgtkmm-3.0-dev
libgspell-1-dev
libxslt-dev libxslt1-dev
libreadline6-dev
lib2geom-dev
lib2geom-dev is needed to solve error "<ieeefp.h> not found".
For building Inkscape:
Download source tarball for Inkscape v1.2 from inkscape.org and extract
cd <extracted inkscape directory>
mkdir build && cd build
cmake ..
make
make install
If you still get an error during cmake .., please comment below with the names of the missing modules in the error message.
The details on how to build Inkscape (and the dependencies) could be found in the repository itself, or Inkscape website (For completness, the steps are copied from the website here):
To obtain the latest source code, use the following command (downloads into a subdirectory of your current working directory called "inkscape" by default):
git clone --recurse-submodules https://gitlab.com/inkscape/inkscape.git
To update this code later, change into the download folder and use:
git pull --recurse-submodules && git submodule update
By default, git will download every branch and every commit. If you are on a slow machine, have limited disk space, or limited internet bandwidth, you can use shallow clone and single branch clone options to limit the amount of data it will download:
git clone --depth=1 --single-branch --recurse-submodules --shallow-submodule https://gitlab.com/inkscape/inkscape.git
Building Inkscape on Linux
Open a terminal at the root of the folder into which you downloaded the source code in the previous step.
Install build dependencies
Download and run the script to install everything required for compiling Inkscape (check script to see if your distribution is supported):
wget -v https://gitlab.com/inkscape/inkscape-ci-docker/-/raw/master/install_dependencies.sh -O install_dependencies.sh
bash install_dependencies.sh --recommended
Compile
To compile with CMake, do the following:
mkdir build
cd build
cmake .. -DCMAKE_INSTALL_PREFIX=${PWD}/install_dir -DCMAKE_C_COMPILER_LAUNCHER=ccache -DCMAKE_CXX_COMPILER_LAUNCHER=ccache
make -j8
make install
Notes:
Using ccache is optional but speeds up compilation.
The optional -j8 argument to make tells it to run 8 jobs in parallel. Feel free to adjust this to the number of hardware threads (physical cores) available on your computer.
The recommended -DCMAKE_INSTALL_PREFIX argument allows to specify a custom isolated installation location (in the example above install_dir/ inside the build folder). It avoids installation into system locations (where it could conflict with other versions of Inkscape) and allows running multiple versions of Inkscape in parallel. It will still use all the files (including the preferences.xml) that reside in the ~/.config/inkscape directory.
Run
Run it from the build directory:
install_dir/bin/inkscape
When building a libtensorflowlite.so followed by the official tutorial
, but the built share file is empty even bazel build without error shown.
After some tests, I found the problem is bazel version is not correct.
Even following the official web recommend installing the bazel and tensorflow, shown as following
So the solution is that trying a different and new versions of bazel to build the shared file.
To install bazel file download bazel--installer-linux-x86_64.sh from here, then
chmod +x bazel-<version>-installer-linux-x86_64.sh
./bazel-<version>-installer-linux-x86_64.sh --user
So, I've installed Bazel via Chocolatey, installed Python 3.5 and 2.7, installed CUDA v8, and cuDNN v6, and installed JDK 8.0, I'm now trying to custom-build TensorFlow on my Windows 10 device, with AVX, AVX 2 and CUDA. TensorFlow-GPU, the pre-built version, does work, I've already tested and run that successfully.
I've followed the instructions of other articles, both on TensorFlows' actual site (trying to adapt some sections from the Linux/Mac installs), and on here. The furthest I've made it is; cloning the Github repository via Msys2, running configure.py, then attempting to build via bazel build --config=opt --config=cuda //tensorflow/tools/pip_package:build_pip_package I receive an error, the header of which is:
Error reading java.io.IOException: CreateProcess(): The system cannot find the file specified.
: C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v8.0/include/cudnn.h
I've double checked, that file does exist, so I'm not sure why I'm getting this error.
EDIT: Also attempted to run via Powershell, reached the same point.
Any help would be much appreciated.
I had the exact same error while trying to build Tensorflow on Windows (using cuDNN 5.1). I fixed it by launching bazel from the msys2 terminal (instead of from the windows command prompt) and manually setting the BAZEL_SH environment variable before attempting to build.
export BAZEL_SH=c:/tools/msys64/usr/bin/bash.exe
bazel build -c opt --config=win-cuda tensorflow/cc:cc_ops
The following steps helped me to compile Tensorflow on Windows 10.
pacman -Syuu patch
ln -s "c:\python27\python.exe" /usr/bin/python
export BAZEL_SH=c:/tools/msys64/usr/bin/bash.exe
"C:\Documents and Settings\All Users\chocolatey\bin\bazel.exe" build --config=opt --config=win-cuda //tensorflow/tools/pip_package:build_pip_package
But after 1 hour of compilation I got another error:
C:\tools\msys64\tmp_bazel_dmitry\x1e5egqw\execroot\org_tensorflow\external\protobuf_archive\python\google\protobuf\internal\api_implementation.cc
: fatal error C1083: Cannot open compiler generated file: '': Invalid
argument Target //tensorflow/tools/pip_package:build_pip_package
failed to build
I installed TensorFlow on my MacBook Pro 10.12.5 from source code by steps described here.
https://www.tensorflow.org/install/install_sources
TensorFlow itself works well but I cannot run TensorBoard.
It seems tensorboard is not installed properly.
When I try running tensorboard --logdir=... it says -bash: tensorboard: command not found. And locate tensorboard returns empty.
Do I need any additional step to install tensorboard?
You could call tensorboard as a python module like this:
python3 -m tensorboard.main --logdir=~/my/training/dir
or add this to your .profile
alias tensorboard='python3 -m tensorboard.main'
If no other methods work then try this one. It may help you.
1. check the location of Tensorflow
pip show tensorflow
It will show output something like this.
...
Name: tensorflow
Version: 1.4.0
Location: /home/abc/xy/.local/lib/python2.7/site-packages
...
2. Go to that location you get from the above output.
cd /home/abc/xy/.local/lib/python2.7/site-packages
There you can see a directory named tensorboard.
cd tensorboard
3. There must be a file named 'main.py'.
4. Execute the following command to launch the tensorboard.
python main.py --logdir=/path/to/log_file/
If you installed Tensorflow with Virtualenv, then first Check whether you have activated the tensorflow envirnoment or not
If you have activated the tensorflow session then your command prompt will look like this :
If not, Write the below command and try running tensorboard again.
source ~/tensorflow/bin/activate
Run this command:
python3 -m tensorboard.main --logdir=logdir
To run directory you can use,
Change =logdir to ="dir/TensorFlow"
(Directory path)
What version of Tensorflow are you running? Older versions don't include Tensorboard.
If you do have a newer version, I see you are using OSX, which apparently caused some problems for other people: https://github.com/tensorflow/tensorflow/issues/2115 Check this page to fix it!
As a MacPorts user, I'm used to running things from out of the path
/opt/local/bin. When you install a python package via MacPorts, that's
where the executables go --- even if they're just symbolic links to
files to a main python repository in
/opt/local/Library/Frameworks/Python.framework/Versions/2.7/bin/
pip installs things into the latter directory, but apparently does NOT
add the symbolic link to /opt/local/bin
This has never been an issue (or even come up) for me before, because
I've only used pip to install (non-executable) packages which load
from within python. In conclusion, there is a
/opt/local/Library/Frameworks/Python.framework/Versions/2.7/bin/tensorboard
This is a pip / MacPorts-SOP mismatch / user error*, and nothing to do
with tensorboard in particular. Please close this issue. Thanks for
your help.
*my 'locate' database was in the process of updating but hadn't completed
Quickest solution -
echo "alias tensorboard='python3 -m tensorboard.main'" >> ~/.bash_profile
After adding this to your .bash_profile you can use
tensorboard --logdir=/path
If you are using pycharm in windows environment this may help:
python -m tensorboard.main --logdir=logs
During installation I received the following error:
This script will setup the CNTK prequisites and the CNTK Python
environment onto the machine. More help is given by calling 'get-help
.\install.ps1' in your powershell environment.
The script will analyse your machine and will determine which
components are required. The required components will be downloaded in
[C:\local\Scripts\windows\InstallCache] Repeated operation of this
script will reuse already downloaded components.
If required VS2012 Runtime and VS2013 Runtime will be installed
If required MSMPI will be installed
If required the standard Git tool will be installed
CNTK source will be cloned from Git into [c:\repos\CNTK]
Anaconda3 will be installed into [C:\local\Anaconda3-4.1.1-Windows-x86_64]
A CNTK-PY34 environment will be created in [C:\local\Anaconda3-4.1.1-Windows-x86_64\envs]
CNTK will be installed into the CNTK-PY34 environment
1 - I agree and want to continue Q - Quit the installation process
1 Determining Operations to perform. This will take a moment...
The following operations will be performed: * Setup/Update CNTK Wheel
* Clone CNTK from Github repository
Do you want to continue? (y/n) y Performing download operations
Download operations finished
Performing install operations Setup/Update of CNTK Wheel environment.
Please be patient.... You are using pip version 8.1.2, however version
9.0.0 is available. You should consider upgrading via the 'python -m pip install --upgrade pip' command. Cloning CNTK (branch v2.0.beta2.0)
repository....
Fatal error during script execution!
System.InvalidOperationException: This command cannot be run due to
the error: The system cannot find the file specifie d. at
System.Management.Automation.MshCommandRuntime.ThrowTerminatingError(ErrorRecord
errorRecord)
PS C:\local\Scripts\windows>
I'm not familiar with powershell, so I am not sure where to go from here.
Couple of questions. Are you using beta1 or beta2?
If you are using beta1, just a reminder that there is a beta2 now available with bug fixes and also some improvements to the install script, but I don't think this particular problem has been addressed!
It looks like the clone of the cntk git repository is failing.
Was Git installed on your machine? Is there a GIT.EXE in c:\Program Files\Git\bin\?
I think the install found an existing git.exe (in a different location), and is now trying to call it at the 'wrong' location.
The easiest workaround for you (if you have git installed), from a command prompt:
cd c:/
md \repos
cd repos
clone --branch v2.0.beta1.0 --recursive https://github.com/Microsoft/CNTK
If you have moved to beta2, replace the v2.0.beta1.0 with v2.0.beta2.0