I am looking to download Gurobi in python but when I follow gurobi's instructions to do so, I get this error.
Python installation directory (hit ENTER to use c:\Python27):
The system cannot find the path specified.
[Hit ENTER to exit]
Please let me know if anyone has recently done this and can share some insight.
How exactly did you "download Gurobi in Python"? You can either install it via Anaconda:
conda config --add channels http://conda.anaconda.org/gurobi
conda install gurobi
Or you can start up any Python environment and run this from within the GUROBI_HOME installation directory:
python setup.py install
Check out this guide for more detailed instructions.
Related
I am trying to install tensorflow-text through miniconda in Spyder. I have managed to install other modules in Spyder such as tensorflow itself, pandas, scikit-learn, etc. However, using the same command as all the other installations (with the specific package name replaced by tensorflow-text)
conda install spyder-kernels tensorflow-text -y
I continue to get the same error whenever I try to install tensorflow-text:
PackagesNotFoundError: The following packages are not available from current channels:
- tensorflow-text
followed by a suggestion to search for the package on anaconda.org. As such, I searched for the tensorflow-text package on the anaconda site and found one, albeit for linux, by rocketce. Attempting to run the commands listed under the tensorflow-text installation instructions on that webpage also yielded the same error.
At first, I tried to install tensorflow-text through pip and was able to successfully run the command
pip install -U tensorflow-text==2.10.0
which seemed to install tensorflow-text. But I could not figure out how to access it or if it was correctly installed. Specifically, I am looking to use tensorflow-text in the Spyder IDE. I was able to get tensorflow working in the IDE, but not the specific tensorflow-text.
I am using a Windows 10 system; I could not find anything on the anaconda site for Windows 10. I am rather inexperienced (if you could not already tell from the nature and description of the problem), so patience and clear explanations are appreciated. Thanks in advance!
Check if Conan is not installed correctly.install failed,The initial installation is through the PIP installation
1、pip install conan
2、conan
An error occurs at step 2（windows 7）
failed create aprocess
There is a good page in Conan docs about installation.
The recommended way is using pip
If you are running Windows, please read carefully the notes in installation page.
Anyway, your problem is listed in troubleshooting page, where there is an explanation how to solve it.
Regards
I want to use Google Colab in a research project using Kaldi ASR. Is it possible to install it? and Where Can I find Kaldi files after installation?
Here's a notebook demonstrating the install steps for a managed backend:
https://colab.research.google.com/drive/1rp2eZRHW9OYnA1WpRGeblG6fDSyyH-my
The install takes a while. You might want to do this once on your machine and use Colab's local runtimes support.
I have made it into my kora library.
Now you can install kaldi and pykaldi with just 2 lines of code.
!pip install kora -q
import kora.install.kaldi
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
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",