I got a message that I needed to upgrade to the newest version of Bazel to build Tensorflow. I followed the instructions for installing bazel using apt-get and it says I have 0.7.0 installed.
However when I issue the command "bazel version", I am still seeing the older 0.4.5 version installed. When I issue "whereis bazel" I get the following results:
bazel: /usr/bin/bazel /etc/bazel.bazelrc /usr/local/bin/bazel /usr/local/lib/bazel
The version at /usr/bin/bazel is the newest version 0.7.0. However the version at /usr/local/bin/bazel is the older version 0.4.5.
I am somewhat new to Linux, but assume there has got to be a way to change the pointer for the path for when I call bazel directly. Is this assumption correct? Any ideas? Thanks!
You should just remove your installation under /usr/local/bin/bazel which was probably installed with an older shell installer: sudo rm /usr/local/bin/bazel
Related
For some reason, I am getting this error on Colab, even if I don't use GPU... Any help would be greatly appreciated! Thanks! The error message is as following:
OSError: libcudart.so.10.2: cannot open shared object file: No such file or directory
The reason is a mismatch of CUDA versions. I ran into this issue because the preinstalled version of pytorch did match the default version which I installed using %pip install torchaudio (CUDA 10.2). print(torch.__version__) gives 1.10.0+cu111 (CUDA 11.1).
So I reinstalled pytorch, torchaudio and torch vision with the command stated on the pytorch website
%pip install torch==1.10.0+cu113 torchvision==0.11.1+cu113 torchaudio==0.10.0+cu113 -f https://download.pytorch.org/whl/cu113/torch_stable.html
After restarting the environment, it should work.
This method uninstalls pytorch and reinstalls another version, it would be faster to just install the matching version of pytorch, in my case:
%pip install -q torchaudio==0.10.0+cu111 -f https://download.pytorch.org/whl/cu111/torch_stable.html
I don't know if it would be better to install the cu113 variant.
Also, I would suggest to check the error logs to find out the python package that causes the error. In my case, it was generated in torch-cluster and it simply resolved by downgrading torch-cluster to 1.5.9 (recent version is 1.6.0 which is release just couple of weeks back and was installed by default)
I've solved it by replacing the version of torchaudio installed by pip with the one from conda.
pip uninstall torchaudio
conda install torchaudio -c pytorch
Notice the message of conda, it installs the version with bundled CUDA lib:
The following NEW packages will be INSTALLED:
torchaudio pytorch/linux-64::torchaudio-0.11.0-py38_cu113
I am trying to install tensorflow 1.12.0. This is the command that I am using pip install tensorflow==1.12.0. I got this command from this link. This is the error that I am getting.
ERROR: Could not find a version that satisfies the requirement
tensorflow==1.12.0 (from versions: 2.5.0rc0, 2.5.0rc1, 2.5.0rc2,
2.5.0rc3, 2.5.0) ERROR: No matching distribution found for tensorflow==1.12.0
What am I doing wrong?
You can install previous versions of Tensorflow directly from the Github release page. For example, the 1.12.0 version can be downloaded from https://github.com/tensorflow/tensorflow/releases/tag/v1.12.0.
My python version was 3.9. Intalling python version 3.6 solved the problem. I installed it in virtual environment with conda.
I have a venv with the following details:
python 3.6
TensorFlow 2.0.0
I tried to install tensorflow-addons using the following:
pip install -q --no-deps tensorflow-addons~=0.6
But then I keep receiving the following error:
Could not find a version that satisfies the requirement tensorflow-addons~=0.6 (from versions: )
No matching distribution found for tensorflow-addons~=0.6
You are using pip version 18.0, however version 19.3.1 is available.
You should consider upgrading via the 'python -m pip install --upgrade pip' command.
I also tried other versions of tensorflow-addons, e. g., 0.4.0, 0.5.0, ..., but it did not work out.
I came across this problem two times and each time I had to solve the problem with a different solution.
1. Solution:
Upgrade pip/pip3 by using the following command.
python3 -m pip install --upgrade pip
Select appropriate version of the tensorflow-addons using the
following link
https://github.com/tensorflow/addons#python-op-compatibility-matrix
Install using the following command
pip install tensorflow-addons==version
2. Solution:
go to https://pypi.org/project/tensorflow-addons/#history
click on appropriate version
click on "Download files" on menu to the left
click on a .whl file that matches your system
requirements/specifications
go to the directory where you download the .whl file and run the
following
pip install tensorflow_addons-name.whl
The problem appears to have been related to installing on Windows platforms in the earlier versions of tensorflow-addons. As of time of updating this comment this issue should disappear completely.
In fact the developers state it has been solved, as it is shown here:
FYI stable release for windows is out. pip install tensorflow-addons
https://github.com/tensorflow/addons/issues/173#issuecomment-573106184
At your command prompt, simply specify the version you want to install.
For me, my python version is 3.7.4 and Tensorflow version is 2.2.0
Therefore, the tensorflow-addons version that matches my python and tensorflow version is 0.10.0
pip install tensorflow-addons==0.10.0
I need to checkout to Tensorflow r1.0 and as suggested the Bazel version should be 0.4.2
I have already installed Bazel and after upgrade bazel version is 0.7.0
Do you know the steps so I can downgrade to Bazel 0.4.2?
I have tried with apt-get install bazel=0.4.2 but this does not work,
and I have also tried to uninstall by executing the command rm -fr ~/.bazel ~/.bazelrc and deleting relevant data in ~/.cache/bazel/ folder, but this did not also work.
Any suggestions ?
Thank you in advance
Considering you are using linux. Download bazel 0.4.2 executable from Here. Remove old version and install
I've been trying to install tensorflow with GPU support using these steps:
http://www.nvidia.com/object/gpu-accelerated-applications-tensorflow-installation.html
and also using:
http://thelazylog.com/install-tensorflow-with-gpu-support-on-sandbox-redhat/
This is the error message that I'm getting when I try to run the bazel build command for building the tensorflow pip package (with the --config-cuda flag set):
The specified --crosstool_top '//third_party/gpus/crosstool:crosstool' is not a valid cc_toolchain_suite rule.
What's strange is that if i remove the --config=cuda flag, I don't get the error message while building and I'm able to install tensorflow successfully - but without GPU support.
I experienced the same issue, using the nvidia instructions. What I did was to drop the git reset line in the instructions, and it works.
Details (from the error message):
Close, reopen terminal
Run git clone (again), and cd tensorflow
Run ./configure
Bazel build, etc
This may be unrelated, but I experienced an issue with the .whl line, the error message was that the wheel cannot be found or something along those lines. This is the "And finally install the TensorFlow pip package" section. To resolve it in my case, I typed in the terminal all the way to "..._pkg/tensorflow", and then pressed tab for auto-completion. The file name that popped up was significantly longer than that in the guide, but it worked. Also, if anyone face a numpy not installed message based on the nvidia instructions, replace the python-pip and dev with python-numpy and run that line again to install.
Configuration: Fresh Ubuntu 16.04, GTX970M, running driver 367.48 (from CUDA installation), CUDA 8.0, CuDNN 5.1
Full setup path:
Fresh Ubuntu, with downloads and 3rd party apps selected during installation.
Control panel => Software and updates => Other Software => Canonical ticked
Install CUDA using nvidia instructions in CUDA documentation, .deb format
CuDNN 5.1 installed, the rest from the nvidia link.
I hope everything works out for you!
(I'm sorry for the poor formatting)
I was going through same problem and recently found the solution. The problem is with the installation of Bazel which leads to this kind of error.
After installation of bazel from installer, make sure that you would give the correct path to ~./bashrc and also activate the path using
source "path-to-your-bin-directory-for-bazel"
Please change the git source version slightly as shown below
$ git clone https://github.com/tensorflow/tensorflow
$ cd tensorflow
// $ git reset --hard 70de76e
$ git reset --hard 287db3a
And please refer the below l
https://github.com/tensorflow/tensorflow/issues/4944
Also, zlib has been updated since this TF build. You need to check http://www.zlib.net/ to get the latest version and SHA-256, then update tensorflow/workspace.bzl with that information (lines 254-266 in this build). At this time, the correct version info would include the following:
url = "http://zlib.net/zlib-1.2.11.tar.gz",
sha256 = "c3e5e9fdd5004dcb542feda5ee4f0ff0744628baf8ed2dd5d66f8ca1197cb1a1",
strip_prefix = "zlib-1.2.11",