I am running an optimization model in colab using Gurobi. But, I got a warning and error message "ApplicationError":
opt = SolverFactory("gurobi")
WARNING: Could not locate the 'gurobi' executable, which is required for
solver gurobi
ApplicationError: No executable found for solver 'gurobi'
Try installing Gurobi at the start of your Colab session via this command:
%pip install gurobipy
Related
When I start "Running Train a GPT-2 (or GPT Neo) Text-Generating Model w/ GPU on Colab" in my Colab, following error comes up:
ERROR: tensorflow 2.5.0 has requirement tensorboard~=2.5, but you'll
have tensorboard 2.4.1 which is incompatible. ERROR: pytorch-lightning
1.3.8 has requirement PyYAML<=5.4.1,>=5.1, but you'll have pyyaml 3.13 which is incompatible.
What to do? Is it because of my Mac, or do I need to upgrade my Colab account would that help?
The problem comes from the default packages installed in the Colab environment. I does not depend on the platform you are using to access Colab or on the type of your subscription.
You have to upgrade the Python packages using pip.
In general you can run shell commands like pip in Colab prepending a ! character,
so in your case the following lines should be sufficient to fix the problem
!pip install tensorboard==2.5
!pip install pyyaml==5.4.1
If you need to run more shell commands, you can use more user-friedly methods (see the answers to this question).
Jupyter Notebook kernel dies when importing tensorflow 1.5.0
I have read a lot of posts relating to this but they have all had higher version numbers of tensorflow and have solved it by downgrading to 1.5.0. I also had higher version number and followed the advice to downgrade but I still have the problem.
Does anyone know what to try next?
pip install h5py==2.8.0
worked for me
When trying using the command prompt I got an error message not related to the tensorflow issue (I think);
"Warning! HDF5 library version mismatched error"
The key information from that message body was "Headers are 1.10.1, library is 1.10.2" so I downgraded hdf5 library by "conda install -c anaconda hdf5=1.10.1" and now the error message is gone and the kernel does not die when importing tensorflow.
I got similar problems, any tensorflow or tensorflow related packages (e.g. keras) made my kernel to die when loading, from any interface (jupyter, spyder, console....)
For those having this kind of problems, try running python from the console with verbose mode (python -v) then import tensorflow and look for errors.
I spot errors related to h5py, similar to the reply of #DBSE. I just upgraded the h5py package then everything was solved !
If you are using a conda environment, then the easiest method for fixing this issue is to just create a new environment and install tensorflow with just a single command. I had the same issue, I have tried a lot on most of the version of python and tensorflow. But at the last I have successfully configured it with just a single steps.
Run this command for installing GPU version
conda create --name tf_gpu tensorflow-gpu
The above line of code will automatically install that version of python and tf which is comaptible with your GPU or CPU.
For CPU, Run this command
conda create --name tf_env tensorflow
Both of these command work 100 % with my system for GPU and CPU access and will download the latest version which are compatible with system. It will resolved/fixed "Illegal Instruction (code dumps)" error.
pip install h5py==3.1.0
This is the most updated version which worked for me.
Try using import numpy before Keras and Tensorflow.
I was running tensorFlow in CPU version and with native pip in Windows. While running TensorFlow for the check "Hello TensorFlow" is output with some warnings.
on Running Premade_estimator I got errors:
How can I fix this?
Assuming you have a recent version of Tensorflow, it seems that it is not imported correctly.
I faced this error when I was running a script and in the same folder I have downloaded tensorflow, so that when importing "tensorflow" it imports the tensorflow folder where I was located instead of the tensorflow library installed.
I am trying to compile Tensorflow (tried both: full & lite) on Odroid XU4 (16GB eMMc, Ubuntu 16) but I am getting errors shown in figures: https://www.dropbox.com/sh/j86ysncze1q0eka/AAB8RZtUTkaytqfEGivbev_Ga?dl=0
I am using FlytOS as OS(http://docs.flytbase.com/docs/FlytOS/GettingStarted/OdroidGuide.html). Its customized Ubuntu 16 with OpenCV and ROS setup, makes 11GB after installation. So, I got only 2.4GB free. Therefore, I added 16GB USB as swap memory.
I have installed Bazel without using swap memory. Tried tensorflow full version and lite but failed to compile. However, I downloaded compiled tensorflow lite for Pi and successfully installed on Odroid. Since, Odroid is Octacore, therefore, to make best use of available processing power I need to compile tensorflow on Odroid.
Please let me know if any one has tensorflow compiled on Odroid XU4.
Regards,
Check this guide out. Build Tensorflow on Odroid
IT gives a detailed step by step guide and also has some troubleshooting procedures.
Summarizing the steps here:
Install prerequisites including g++, gcc-4.8, python-pip, python-dev, numpy and Oracle Java (not OpenJDK)
Use a USB/ Flash drive and add some swap memory
Build Bazel. In the compile.sh shell script, modify the run line to add memory flags
run “${JAVAC}” -J-Xms256m -J-Xmx384m -classpath “${classpath}” -sourcepath “${sourcepath}”
Get Tensorflow v1.4 specifically and run ./configure and select relevant options. Disable XLA as it's causing some problems.
Finally run Bazel command.
bazel build -c opt --copt="-funsafe-math-optimizations" --copt="-ftree-vectorize" --copt="-fomit-frame-pointer" --local_resources 8192,8.0,1.0 --verbose_failures tensorflow/tools/pip_package:build_pip_package
Now install it.
bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/tensorflow_pkg
sudo pip2 install /tmp/tensorflow_pkg/tensorflow-1.4.0-cp27-cp27mu-linux_armv7l.whl --upgrade --ignore-installed
Test the install
python
import tensorflow
print(tensorflow.__version__)
1.4.0
I was able to compile it successfully by following the steps given there.
Trying to install Tensorflow in windows7 with CPU support only.
The installation was successful using a native pip, as instructed in tensorflow site. But i am not able to validate the installation. It is generating an error message instead of printing Hello, Tensorflow.
error showing- tf is not defined,.
sees is not defined.
the screenshot of the error: [1]: https://i.stack.imgur.com/hFLvr.png
Working
py -m 3.6 pip install tensorflow
The lack of AVX instruction in CPU can cause this error.
Try this wheel for python3.6