11.08.2021 · Once you’ve installed Anaconda, you can create a new environment and install TensorFlow: conda create --name tensorflow-env python=3.8 pip conda activate tensorflow-env pip install tensorflow Note: you can use a Python version other than 3.8, but as of this post the latest TensorFlow does not yet support 3.9.
May 23, 2020 · Note that "virtualenv" is not available on Windows (as this isn't supported by TensorFlow). Here is what I used. I used the specific version of Tensorflow that is compatible with the newest keras package. install.packages("keras") install_keras(Tensorflow = "1.13.1", restart_session = FALSE )
However, all installing instruction commands not work at all. After that, I looked into pypi.org and found out there are whl files for TensorFlow-macos and ...
I had been stuck on the exact same problem for the past 4 days. I could see 'r - tensorflow' and a few other packages but not the 'tensorflow' package. Apparently, i was using the 32 - bit version of Anaconda. I searched it up and found out that Tensorflow is not supported on 32 - bit platforms.
01.07.2017 · For those still getting the error Installation of TensorFlow not found., one thing to try is uninstalling Anaconda, reinstalling Anaconda, and then running conda update --all to make sure everything is the latest version. This recently fixed the error for a user on RStudio Community. lipinu mentioned this issue on Jun 21, 2020
May 06, 2019 · I am not sure precisely what the problem was, but I probably should not have tried to install local copies of R, Anaconda, and TensorFlow on top of the recommended stack on an HPC cluster. At the time, I thought I was experiencing some issues that may have arose from routine maintenance on the cluster.
05.08.2019 · 解决TensorFlow installation not found - r un ning with reduced feature set的一种可能方法 window 10 TensorFlow 2 在 lo gs的父目录 直接cmd运行 tensorboard -- lo gdir 文件名 可能行不通 没有激活环境 会报错 去web网页会出现下面的情况 一种可能 解决 的方法是 在cmd中 先conda 激活 虚拟环境 然后在浏览器中输入 lo c al ho st :6006 就可以看效果 图 了！ ... 评论 7 请先 登录 后发表 …
It is recommended you create a virtual environment as shown above as this makes managing different versions of Python easier. All packages you install (in this case Tensorflow) will become available whenever you activate this virtual environment, and they will not conflict with other versions of Python you may have.
19.06.2020 · On Windows open the Start menu and open an Anaconda Command Prompt. On macOS or Linux open a terminal window. Use the default bash shell on macOS or Linux. Choose a name for your TensorFlow...
Dec 13, 2020 · conda install tensorflow-gpu=2.1 pip install tensorflow-gpu==2.3.1 (2.4.0 uses cuda 11.0 and cudnn 8.0, however cudnn 8.0 is not in anaconda as of 16/12/2020) Edit: please also see @GZ0's answer, which links to a github discussion with a one-line solution
It is recommended you create a virtual environment as shown above as this makes managing different versions of Python easier. All packages you install (in this case Tensorflow) will become available whenever you activate this virtual environment, and they will not conflict with other versions of Python you may have.
27.04.2020 · How to Fix Could not Find a Version that Satisfies the Requirement for Tensorflow. If the issue is with your Computer or a Laptop you should try using Restoro which can scan the repositories and replace corrupt and missing files.
05.05.2019 · I am not sure precisely what the problem was, but I probably should not have tried to install local copies of R, Anaconda, and TensorFlow on …
Then, use the install_tensorflow() function to install TensorFlow. Note that on Windows you need a working installation of Anaconda. library(tensorflow) ...
23.05.2020 · I installed Keras/TF on Rstudio Cloud a couple of weeks ago but that is a Linux OS. Still, there is a note in the Keras help about installing on windows that might help: Keras and TensorFlow will be installed into an "r-tensorflow" virtual or conda environment. Note that "virtualenv" is not available on Windows (as this isn't supported by ...
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 Share Improve this answer