I wanted to install the latest TensorFlow from source. I pulled the repository, and then ran
bazel build -c opt //tensorflow/tools/pip_package:build_pip_package
I got this error:
ERROR: /home/samuelchin/tensorflow/tensorflow/models/embedding/BUILD:10:6: First argument of load() is a path, not a label. It should start with a single slash if it is an absolute path.
ERROR: /home/samuelchin/tensorflow/tensorflow/models/embedding/BUILD:10:6: file '/tensorflow:tensorflow.bzl.bzl' was not correctly loaded. Make sure the 'load' statement appears in the global scope in your file.
ERROR: /home/samuelchin/tensorflow/tensorflow/models/embedding/BUILD:104:1: name 'tf_gen_op_wrapper_py' is not defined.
ERROR: /home/samuelchin/tensorflow/tensorflow/tools/pip_package/BUILD:13:1: Target '//tensorflow/models/embedding:package' contains an error and its package is in error and referenced by '//tensorflow/tools/pip_package:build_pip_package'.
ERROR: Loading failed; build aborted.
INFO: Elapsed time: 0.071s.
There was a recent change to the TensorFlow BUILD files that causes the dependency on Bazel 0.1.4. This was announced on the discuss#tensorflow.org mailing list, but hasn't made it into the documentation on the website yet.
As you have already discovered, upgrading Bazel to version 0.1.4 should fix this build error.
Turns out that bazel was outdated. The previous version of my bazel was 0.1.2, which was last updated in December. Bazel has since then been updated to 0.1.4. For those who have this error, updating bazel would do the trick. You can then build as per normal.
I guess in future, if it can't build, you might want to check if bazel is updated to the latest version.
Related
I'm trying to build under Ubuntu 18.04 TensorFlow r1.13 from sources and whichever compatible version of bazel I use I get the same errors:
ERROR: /home/hamlatzis/.cache/bazel/_bazel_hamlatzis/bc20d0623a1a0c4eaa510688c26216cb/external/io_bazel_rules_closure/closure/protobuf/closure_proto_library.bzl:66:21: name 'ProtoInfo' is not defined (did you mean 'protos'?)
ERROR: error loading package '': Extension 'closure/protobuf/closure_proto_library.bzl' has errors
ERROR: error loading package '': Extension 'closure/protobuf/closure_proto_library.bzl' has errors
I need to be on r1.13, but to be on the safe side I've tried with other branches (r1.14 and master) and had no problems with those
Any idea?
Try a different Bazel version.
Bazel 0.21.0 worked for me for Tensorflow r1.13.
I am trying to build TensorFlow cpu only r1.11 from source on a Debian OS following this tutorial: https://www.tensorflow.org/install/source
I installed bazel as indicated using this tutorial https://docs.bazel.build/versions/master/install-ubuntu.html from the binary installer as recommended.
Then I followed each step and everything worked fine until this command:
bazel test -c opt -- //tensorflow/... -//tensorflow/compiler/... -//tensorflow/contrib/lite/...
It shows me this error:
ERROR: error loading package '': Encountered error while reading extension file 'closure/defs.bzl': no such package '#io_bazel_rules_closure//closure': The native http_archive rule is deprecated. load("#bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") for a drop-in replacement.
Use --incompatible_remove_native_http_archive=false to temporarily continue using the native rule.
ERROR: error loading package '': Encountered error while reading extension file 'closure/defs.bzl': no such package '#io_bazel_rules_closure//closure': The native http_archive rule is deprecated. load("#bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") for a drop-in replacement.
Use --incompatible_remove_native_http_archive=false to temporarily continue using the native rule.
INFO: Elapsed time: 0.088s
INFO: 0 processes.
FAILED: Build did NOT complete successfully (0 packages loaded)
FAILED: Build did NOT complete successfully (0 packages loaded)
I read online that this is likely related to bazel. So I tried reinstalling bazel using the Using Bazel custom APT repository but I got the same error.
As of version 1.12.0, TensorFlow uses some deprecated Bazel features that are being completely dropped in recent versions of Bazel. Instead of using the most recent version, try using an older one for now. I was able to build TensorFlow 1.12.0 on Windows using Bazel 0.18.1, most likely that should work with TensorFlow 1.11 too.
I agree with #jdehesa. Even I was struggling to build the tensorflow using from scratch. I tried different versions, 0.26,0.21,0.19.1 and finally it worked with 0.18.1. So, it is a bazel issue rather than Tensorflow. TF_version=1.12.0
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
Hi all I am trying to install tensor flow with GPU compatibility using this guide "guide 1" and guide 2 on ubuntu pc (cuda 8). I am stuck at installing tensorflow,
when I use ./configure, I getting this error
ERROR: /home/krishna/tensorflow/WORKSPACE:3:1: //external:io_bazel_rules_closure: no such attribute 'urls' in 'http_archive' rule.
ERROR: /home/krishna/tensorflow/WORKSPACE:3:1: //external:io_bazel_rules_closure: missing value for mandatory attribute 'url' in 'http_archive' rule.
ERROR: com.google.devtools.build.lib.packages.BuildFileContainsErrorsException: error loading package '': Encountered error while reading extension file 'closure/defs.bzl': no such package '#io_bazel_rules_closure//closure': error loading package 'external': Could not load //external package.
I am new to ubuntu, after reading a lot I understood that, the error has something to do with "version of bazel" (for version above 0.3.1 it does not apper).
When I use the command
$bazel version
Build label: 0.3.0
Build target: bazel-out/local-fastbuild/bin/src/main/java/com/google/devtools/build/lib/bazel/BazelServer_deploy.jar
Build time: Fri Jun 10 11:38:23 2016 (1465558703)
Build timestamp: 1465558703
Build timestamp as int: 1465558703
when i use
$ sudo apt-get install bazel
Reading package lists... Done
Building dependency tree
Reading state information... Done
bazel is already the newest version (0.4.5).
0 upgraded, 0 newly installed, 0 to remove and 3 not upgraded.
and
upgraded it using $ sudo apt-get upgrade bazel. Finally I tried
$ bazel version
Build label: 0.3.0
Build target: bazel-out/local-fastbuild/bin/src/main/java/com/google/devtools/build/lib/bazel/BazelServer_deploy.jar
Build time: Fri Jun 10 11:38:23 2016 (1465558703)
Build timestamp: 1465558703
Build timestamp as int: 1465558703
which shows me that I am at version 0.3.0. I even tried compiling tensorflow again,which gave me the same above error.
It looks like you have two versions of Bazel on your system (0.3.0 and 0.4.5). You can see what the current binary is by running which bazel. You can find all of the bazels on your system by running:
$ updatedb # This will take a while.
$ slocate bazel
Assuming this returns something like:
/etc/bazel/bin/bazel
/usr/bin/bazel
you can figure out which bazel is the "right" one (0.4.5) by running /usr/bin/bazel version etc. for each bazel slocate finds.
Once you find the right bazel, you want that to be the default, so you have to make sure Linux searches for Bazel in that directory first. If the right bazel is /usr/local/bin/bazel, you'd run:
$ export PATH="/usr/local/bin:$PATH"
Then you should be able to call "bazel" normally and your system will find the "right" one (you can also delete any old ones you find).
Alternatively, you can install Bazel using the installer which will tell you what directory it got installed in.
This first time for me to install Tensorflow. I followed the instructions on official website here. I installed from source because I found some people advice to do that instead of pip installation. I used version r0.9 of tensorflow and I installed it on Ubuntu-mate 15.10. I followed all instructions. Installed python, cuda version 7.5, cudnn release 5. Nvidia GPU 5200 with compute capability of 2.1. Every thing went well until I reached bazel build step here,
Latitude-E6430:~/tensorflow$ bazel build -c opt --config=cuda //tensorflow/cc:tutorials_example_trainer
"Latetude-E6430" is the user of the machine.
I got the following errors immediately:
ERROR: /home/meqdad/tensorflow/tensorflow/core/BUILD:91:1: //tensorflow/core:protos_all_py: no such attribute 'imports' in 'py_library' rule.
ERROR: /home/meqdad/tensorflow/tensorflow/cc/BUILD:28:1: Target '//tensorflow/core:sparse_ops_op_lib' contains an error and its package is in error and referenced by '//tensorflow/cc:ops/sparse_ops_gen_cc'.
ERROR: Loading failed; build aborted.
I tried to find a solution to this problem, I was using bazel 0.1 then I upgraded to bazel 0.3. However, on the net, there is several issues like this one but non of them was related to this one. I re-installed py_library but it did nothing to solve the problem.
Please can you advice me how to move on with this step of installation.