I had Tensorflow installed with Anaconda. Now I want use it in R and I need to reinstall Tensorflow, because the note here
NOTE: You should NOT install TensorFlow with Anaconda as there are
issues with the way Anaconda builds the python shared library that
prevent dynamic linking from R.
I already tried to uninstall from Anaconda and install with pip but its came to the same place in anaconda directory. Tesorflow is working from terminal but in R shows Error: Command failed (1)
Anybody can help me to how I can solve the problem? Should I uninstall anaconda and install Tensorflow using pip?
You have several options on what to do. Probably the cleanest one is to install a system-wide python (if not installed yet) and then create a virtual environment. This basically takes your system python binaries and moves them to its own compartment where everythign is isolated from the rest, incl. anaconda. Once you are inside an activated virtual environment you can install all the necessary Python appendages for TensorFlow. Once that is done, make sure you set up a correct environmental PATH for TensorFlow from where R can reach it:
Sys.setenv(TENSORFLOW_PYTHON="/path/to/virtualenv/python/binary")
devtools::install_github("rstudio/tensorflow")
Example of the path to where you installed the virtual environment project would be, I think, something like ~/minion/medvedi/venv_medvedi/bin/python.
This is no longer an issue, the documentation was updated too.
See here:
https://github.com/rstudio/tensorflow/commit/4e1e11d6ba2fe7efe1a03356f96172dbf8db365e
With the help of Keras, we can install the TensorFlow package in R.
install_keras()
library(keras)
devtools::install_github("rstudio/keras")
install_tensorflow(package_url = "https://pypi.python.org/packages/b8/d6/af3d52dd52150ec4a6ceb7788bfeb2f62ecb6aa2d1172211c4db39b349a2/tensorflow-1.3.0rc0-cp27-cp27mu-manylinux1_x86_64.whl#md5=1cf77a2360ae2e38dd3578618eacc03b")
library(tensorflow)
Keras is a high-level neural network API for deep learning from TensorFlow Google.
my suggestion is to install anaconda and create an environment called "r-reticulate".
you can do it using anaconda navigator or
reticulate::conda_create(envname = "r-reticulate")
then to check that env detected by reticulate, use reticulate::conda_python().it must return directory of python.exe for your env.
after that you can install tensorflow by install_tensorflow(). [not working in my case]
so I install the tesnorflow from CMD.
follow these steps:
open the cmd :]
activate the r-reticulate env using conda activate r-reticulate (you may need your directory to conda directory if you did not add conda to your PATH)
use : conda install -c anaconda tensorflow
now in R, you can use TensorFlow.
for installing Keras, you can use pip install Keras. [i tried install_keras() function after the installation of tensorflow, but it ruined my TensorFlow installation also]
Eventually I found the best and fast method to do it in R:
devtools::install_github("rstudio/keras")
library(keras)
install_keras(method = "conda")
install_keras(tensorflow = "gpu")
tensorflow::install_tensorflow()
Related
I have installed Anaconda 3 for Mac M1 and I am trying to create a new environment for R. However, everytime I try to do this, I am faced with the below error:
Conda Prompt Error Message
I am faced with this error irrespective of whether I try to do this in anaconda navigator or conda prompt. I have already tried removing Anaconda completely and reinstalling it again but to no avail. Is there anything I can do here?
Update: As requested, here is an additional screenshot:
Mamba install r-eesentials
Mamba install r-essentials output
[Disclosure: I am a volunteer on the Conda Forge R team.]
Conda users who want to use R should prioritize Conda Forge. The Anaconda company has not actively maintained R packages since v3.6.
If installing Conda for the first time, I recommend Miniforge variants (specifically, Mambaforge), rather than the Anaconda distributions (which prioritize defaults/anaconda channel).
Also note that osx-arm64 support for R through Conda is currently sparse. We are actively working on migrating, but for simplicity of workflow, I still recommend Conda users to install a osx-64 version of Conda and use that platform when installing R. You can always create native osx-arm64 environments when you actually need them (e.g., native TensorFlow with Metal support).
I used to work in R 3.4.0 version. Hovewer, this version doesn't support such packages as keras and tensorflow.
I was adviced to upgrade my R version to the newest one.
I downloaded the most recent R version 4.0.2 from the official site, then ran the following code:
install.packages("keras")
library(keras)
install_keras()
And got the following error:
Error in install_keras() :
You should call install_keras() only in a fresh R session that has not yet initialized Keras and TensorFlow (this is to avoid DLL in use errors during installation)
After this, when I tried to quit R session by q() , I faced the following error:
Error: option error has NULL value
Error: no more error handlers available (recursive errors?); invoking 'abort' restart
Error: option error has NULL value
I've never faced such an error before. When I used old R version, I typed q() and then had to choose between y and n. No errors appeared.
I'm asking you to help to to solve this problem.
You need to create a new environment and then you can install R 4.+ in Anaconda. Follow these steps.
conda create --name r4-base
After activating r4-base run these commands
conda activate r4-base
conda install -c conda-forge r-base
conda install -c conda-forge/label/gcc7 r-base
Finally, you will notice r-basa version 4 will be installed.
Thereafter, you can install any supported packages. But with this only, you won't have the ability to use it in the Jupyter notebook. You need to install install.packages('IRkernel') and Jupyter notebook as well if you want to use it. Otherwise you are good to go with R-Studio.
For Jupyter Installation and RKernel.
conda install jupyter
Then open the R console. Write in R console
install.packages('IRkernel')
IRkernel::installspec()
Congrats! You can use Notebook for Python and R.
Find the location of R.exe on your computer. In my computer, this executable is at
C:\Program Files\R\R-3.4.3\bin
Open another Anaconda Prompt as Administrator and change directories to wherever R.exe is on your computer with cd file path. On my computer, it’s cd C:\Program Files\R\R-3.4.3\bin, but it might be different for you.
Then run R from within Anaconda Prompt in Admin mode with R.exe
You’ll notice that you’re in an R session. From here, run the following three commands into the terminal.
install.packages("devtools")
devtools::install_github("IRkernel/IRkernel")
IRkernel::installspec()
In order, they (1) install the devtools package which gets you the install_github() function, (2) install the IR Kernel from GitHub, and (3) tell Jupyter where to find the IR Kernel.
Open Jupyter notebook and enjoy your new R kernel!
Get more information here
#Rheatey Bash works perfectly. but i was facing python.exe this program cant start because api-ms-win-core-path-l1-1-0.dll python system error. this is a problem running on windows 7 but i resolved this issue by installing the kernel following https://richpauloo.github.io/2018-05-16-Installing-the-R-kernel-in-Jupyter-Lab/ and it works fine
I'm facing difficulties downloading the r package rsvg. I created first an environment with conda for the latest R version 4.0.2 following these instructions. I was able to download many other R packages & bioconductor packages without problem, however, this one produces huge pile of lines while configuring it and ends with errors downloadind its dependencies (systemfonts, stringi, stringr, gdtools, magick, svglite, knitr). My exact command is install.packages("rsvg", dependencies =T). Trying to download each of those packages produced also a tree of required dependencies (with configuration fail at the end of each).
Among the lines I noticed this error /user/include/freetype2/freetype/config/ftheader.h:3:12: fatal error x86_64-linux-gnu/freetype2/config/fthreader.h no such file or directory which make me suspect that my R installation is incopmlete or corrupted. I tested it with other R versions (e.g. R 3.6.0) yet the same error appear. Installing it on windows (Rstudio 3.6.2) also didn't work, and now I'm wondering if this package needs to be installed differently or it is system related problem? Any help would be highly appreciated
You need to create a new environment and then you can install R 4.+ in Anaconda. Follow these steps.
conda create --name r4-base
After activating r4-base run these commands
conda install -c conda-forge r-base
conda install -c conda-forge/label/gcc7 r-base
Finally, you will notice r-basa version 4 will be installed.
Thereafter, you can install any supported packages. But with this only, you won't have the ability to use it in the Jupyter notebook. You need to install install.packages('IRkernel') and Jupyter notebook as well if you want to use it. Otherwise you are good to go with R-Studio.
For Jupyter Installation and RKernel.
conda install jupyter
Then open the R console. Write in R console
install.packages('IRkernel')
IRkernel::installspec()
Congrats! You can use Notebook for Python and R.
I am trying to install tensorflow on R. As far as I understand I have already installed successlly many times but it won't load
Everytime I run a function from Tensorflow and Keras it does not work.
> testlabels=to_categorical(trainy)
Error: Python module tensorflow.python.keras was not found.
Detected Python configuration:
python: C:\Users\AUSTER~1\ANACON~1\python.exe
libpython: C:/Users/AUSTER~1/ANACON~1/python37.dll
pythonhome: C:\Users\AUSTER~1\ANACON~1
version: 3.7.3 (default, Apr 24 2019, 15:29:51) [MSC v.1915 64 bit (AMD64)]
Architecture: 64bit
numpy: C:\Users\AUSTER~1\ANACON~1\lib\site-packages\numpy
numpy_version: 1.16.4
tensorflow: [NOT FOUND]
When I load the libraries I have no issues. They all load up sucessfully.
library(EBImage)
library(keras)
library(tensorflow)
I have ran all these following commands.
install.packages("keras")
source("http://bioconductor.org/biocLite.R")
biocLite("EBImage")
install.packages("reticulate")
install.packages("remotes")
remotes::install_github("rstudio/tensorflow")
reticulate::py_discover_config("keras")
reticulate::py_discover_config("tensorflow")
install.packages("devtools")
devtools::install_github("rstudio/keras")
tensorflow::install_tensorflow()
devtools::install_github("rstudio/keras")
What could be causing the issue. After I installed tensforflow it said "Installation Complete" and then restarted R. Is R simply unable to find the installation?
I have also ran the following commands still with no luck.
library(tensorflow)
Sys.setenv(TENSORFLOW_PYTHON="/usr/local/bin/python")
Update
I was able to get Tensorflow/Keras to work by opening an Anaconda command prompt and running the following commands. Then my R code using Keras/Tensorflow started to work.
conda install -c conda-forge keras
The keras package makes use of keras through python. When you install the package, it installs the R interface, but not the python package. You must separately install the python package. There is a nice guide for doing that on RBloggers
I checked all of the suggestions. None of them worked.
This worked for me on Windows 10
1- Open rstudio and uninstall these package if you already installed using:
uninstall.packages(c("keras", "tensorflow","tfruns"))
2- uninstall rtools from your computer if exists
3- Install Anaconda from https://www.anaconda.com/products/individual
4- Install the last version of rtools from https://cran.r-project.org/bin/windows/Rtools/
5- Close rstudio if it is opened
6- open new session and write this:
install.packages("reticulate")
install.packages("remotes")
library("reticulate")
remotes::install_github("rstudio/tensorflow")
library(tensorflow)
install_tensorflow(version = "2.0.0b1", method = "conda", envname = "r-reticulate")
remotes::install_github("rstudio/keras", dependencies = TRUE)
library(keras)
7- check if they work:
#if tensorflow works
tf$abs(-1)
#if keras works
mnist <- dataset_mnist()
my suggestion is to install anaconda and create an environment called "r-reticulate".
you can do it using anaconda navigator or
reticulate::conda_create(envname = "r-reticulate")
then to check that env detected by reticulate, use reticulate::conda_python().it must return directory of python.exe for your env.
after that you can install tensorflow by install_tensorflow(). [not working in my case]
so I install the tesnorflow from CMD.
follow these steps:
open the cmd :]
activate the r-reticulate env using conda activate r-reticulate (you may need your directory to conda directory if you did not add conda to your PATH)
use : conda install -c anaconda tensorflow
now in R, you can use TensorFlow.
for installing Keras, you can use pip install Keras. [I tried install_keras() function after the installation of tensorflow, but it n
I used this instruction to install spacyr on RStudio (mac os)
I have both python 2 and 3 so I run
library(spacyr)
spacy_initialize(python_executable = "/usr/local/bin/python")
It returns an error:
Error in check_spacy_model(python_executable, model) :
/usr/local/bin/python is not a python executable
Any advice on how to fix it? Thanks.
I spent a lot of time figuring out this issue for myself. For me the problem was I had installed spacy using conda rather than pip so it was unable to setup symlink.
uninstall spacyr
uninstall spacy from python(if you have installed using conda)
Install spacy with pip only
Install the latest version of spacyr from github.