Like I said in title I installed pytorch with conda install and that downgraded my tensorflow version to 1.13.0 and now conda install tensorflow-gpu=2.0 is not working how can I get the command to execute?
I would suggest that you try to install tensorflow with pip. pip install -U tensorflow-gpu
https://www.tensorflow.org/install/gpu
I am using pytorch, but my env has pytorch 1.2 + tensorflow 2.1
You should have installed pyTorch in another virtual environment but since now it has been installed.
I would recommend you to create a virtual environment and install TF plus other libraries in it. Because I am sure you would not use both PyTorch and TF in the same program for ML.
Related
Last night, I made a virtual environment and the only installs I made were as follows:
conda install jupyter
conda install notebook
pip install transformers
And I was able to run huggingface transformers perfectly, but today I reactivate my conda virtual environment and I'm met with this puzzling error:
And this is the runtime error
I even tried making a new virtual environment with the same depencies and today I got these errors upon performing pip install transformers
And this in jupyter notebook
HuggingFace Transformers need to be installed in conjunction to either Tensorflow or Pytorch. From the HuggingFace installation instructions:
First you need to install one of, or both, TensorFlow 2.0 and PyTorch.
So you should choose which machine learning platform you like more and install that too in your virtual environment.
For Tensorflow either pip install tensorflow or pip install tensorflow-gpu and for Pytorch pip install torch torchvision
For example, in a fresh environment, the following instructions should make your errors disappear (I'm assuming you have a GPU):
conda install jupyter
conda install notebook
pip install tensorflow-gpu
pip install transformers
I installed tensorflow using pip install tensorflow within Anaconda virtual environment on Windows.
I tried to test whether GPU is enabled, and type
import tensorflow as tf
print("Num GPUs Available: ", len(tf.config.experimental.list_physical_devices('GPU')))
and got
Num GPUs Available: 0
My system does have CUDA and CUDNN enabled, as I do not have a problem installing PyTorch GPU version. How do I enable GPU for TensorFlow?
At first, uninstall tensorflow using,
pip uninstall tensorflow
Install tensorflow-gpu version,
pip install tensorflow-gpu==2.2.0
If using pip did't work you can try with conda install command.
conda install -c anaconda tensorflow-gpu
This will automatically install CUDA & cuDNN.
Hope this will solve your issue.
Remove the cpu version tensorflow using pip uninstall tensorflow and install the gpu version of the tensorflow, pip install tensorflow-gpu.
You can check this tutorial link as well.
It can be summarized by the following steps:
Uninstall your old tensorflow
Install tensorflow-gpu pip install tensorflow-gpu
Install Nvidia Graphics Card & Drivers (you probably already have)
Download & Install CUDA
Download & Install cuDNN
Verify with your program.
I have Anaconda under Windows 8.1, Python 3.7 e TensorFlow 1.14. I tried some pip commands but the 1.14 is the only version installed of TensorFlow.
There are other ways to update, for example, version 1.5 ?
Thank a lot for any help!
Tensorflow 1.14 is the latest release for the time being. If you wanna install a specific version
conda install tensorflow=1.5.0
The problem is that tensorflow 1.5 is not compatible with Python 3.7 before 1.13.0rc1.
If you need version 1.5.0, you need to create a virtual environment with Python 3.6 using conda.
conda create -n py36 python=3.6
conda activate py36
conda install tensorflow=1.5.0
# you can also install tensorflow using pip
# choose the package manager you want
conda install tensorflow==1.5.0
Note: Don't use pip and conda to install pkg at the same time in one environment. Check Using Pip in a Conda Environment for more info.
I have both TF and TF-GPU installed in the same virtual environment. when I test it in iPython terminal, it shows that TensorFlow, not TensorFlow-GPU is used. However, I want the GPU version to be used.
How to do that? Shouldn't I installed both in the same environment? Thanks.
I can recommend this:
pip uninstall tensorflow
pip uninstall tensorflow-gpu
pip install tensorflow
pip install tensorflow-gpu
Wish I knew a better answer
I installed Tensorflow for GPU using: pip install tensorflow-gpu
But when I tried the same for Keras pip install keras-gpu, it pulled me an error: could not find the version that satisfies the requirements.
Adding to the answer below which is the correct answer in terms of recommending to use Anaconda package manager, but out of date in that there is now a keras-gpu package on Anaconda Cloud.
So once you have Anaconda installed, you simply need to create a new environment where you want to install keras-gpu and execute the command:
conda install -c anaconda keras-gpu
This will install Keras along with both tensorflow and tensorflow-gpu libraries as the backend. (There is also no need to install separately the CUDA runtime and cudnn libraries as they are also included in the package - tested on Windows 10 and working).
There is not any keras-gpu package [UPDATE: now there is, see other answer above]; Keras is a wrapper around some backends, including Tensorflow, and these backends may come in different versions, such as tensorflow and tensorflow-gpu. But this does not hold for Keras itself, which should be installed simply with
pip install keras
independently of whatever backend is used (see the PyPi docs).
Additionally, and since you have tagged the question as anaconda, too, be informed that it is generally not advisable to mix your package managers (i.e pip with conda), and you may be better off installing Keras from the Anaconda cloud with
conda install -c conda-forge keras
Finally, you may be also interested to know that recent versions of Tensorflow include Keras as a subpackage, so you can use it without any additional installation; see https://www.tensorflow.org/guide/keras
For installing tensorflow-gpu from Anaconda cloud, you should use
conda install -c anaconda tensorflow-gpu
before installing Keras. Be sure you do it in a different virtual environment, or after having uninstalled other versions (i.e. pip-installed ones), as there have been reported problems otherwise.
Adding to the above two answers, ensure your TensorFlow/Keras environment is using Python 3.6. Keras/TensorFlow doesn't work very well with Python 3.7, as of May 10, 2019.
I tried to use Keras/TensorFlow with Python 3.7 and I ended up having to reinstall Anaconda, since it sort of broke my Anaconda Prompt.
To install tensorflow-gpu with particular cuda version 9.0, use:
conda install tensorflow-gpu cudatoolkit==9.0 -c anaconda
Similarly for keras-gpu