Keras: `install_keras()` doesn't work within RStudio
I have been trying to load keras module on a Windows machine in RStudio 1.2 and development (3.6.0)version of R and I can't seem to make it work.
Any solutions?
- attempt-1
library(keras)
install_keras()
Creating r-tensorflow conda environment for TensorFlow installation...
Solving environment: ...working... failed
CondaHTTPError: HTTP 000 CONNECTION FAILED for url <https://repo.anaconda.com/pkgs/r/noarch/repodata.json.bz2>
Elapsed: -
An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.
If your current network has https://www.anaconda.com blocked, please file
a support request with your network engineering team.
SSLError(MaxRetryError('HTTPSConnectionPool(host=\'repo.anaconda.com\', port=443): Max retries exceeded with url: /pkgs/r/noarch/repodata.json.bz2 (Caused by SSLError("Can\'t connect to HTTPS URL because the SSL module is not available."))'))
Error: Error 1 occurred creating conda environment r-tensorflow
- attempt-2 (fails for the same reason)
library(keras)
use_condaenv("r-tensorflow")
Sys.setenv(KERAS_BACKEND="theano")
install_keras()
#> Creating r-tensorflow conda environment for TensorFlow installation...
#> Error: Error 1 occurred creating conda environment r-tensorflow
- Setup
Checking setup (details based on recommendations made in similar issues threads in this repo)
library(reticulate)
reticulate::py_available(initialize = TRUE)
#> [1] TRUE
reticulate::py_versions_windows()
#> type hive install_path
#> 1 PythonCore HCU C:\\Users\\inp099\\AppData\\Local\\CONTIN~1\\ANACON~1
#> 2 Anaconda HCU C:\\Users\\inp099\\AppData\\Local\\CONTIN~1\\ANACON~1
#> executable_path
#> 1 C:\\Users\\inp099\\AppData\\Local\\CONTIN~1\\ANACON~1\\python.exe
#> 2 C:\\Users\\inp099\\AppData\\Local\\CONTIN~1\\ANACON~1\\python.exe
#> version arch
#> 1 3.7 x64
#> 2 3.7 x64
reticulate::py_config()
#> python: C:\Users\inp099\AppData\Local\CONTIN~1\ANACON~1\python.exe
#> libpython: C:/Users/inp099/AppData/Local/CONTIN~1/ANACON~1/python37.dll
#> pythonhome: C:\Users\inp099\AppData\Local\CONTIN~1\ANACON~1
#> version: 3.7.1 (default, Dec 10 2018, 22:54:23) [MSC v.1915 64 bit (AMD64)]
#> Architecture: 64bit
#> numpy: [NOT FOUND]
#>
#> python versions found:
#> C:\Users\inp099\AppData\Local\CONTIN~1\ANACON~1\python.exe
#> C:\Users\inp099\AppData\Local\Continuum\anaconda3\python.exe
reticulate::py_discover_config("keras")
#> python: C:\Users\inp099\AppData\Local\CONTIN~1\ANACON~1\python.exe
#> libpython: C:/Users/inp099/AppData/Local/CONTIN~1/ANACON~1/python37.dll
#> pythonhome: C:\Users\inp099\AppData\Local\CONTIN~1\ANACON~1
#> version: 3.7.1 (default, Dec 10 2018, 22:54:23) [MSC v.1915 64 bit (AMD64)]
#> Architecture: 64bit
#> numpy: C:\Users\inp099\AppData\Local\CONTIN~1\ANACON~1\lib\site-packages\numpy
#> numpy_version: 1.15.4
#> keras: [NOT FOUND]
#>
#> python versions found:
#> C:\Users\inp099\AppData\Local\CONTIN~1\ANACON~1\python.exe
#> C:\Users\inp099\AppData\Local\Continuum\anaconda3\python.exe
reticulate::py_discover_config("tensorflow")
#> python: C:\Users\inp099\AppData\Local\CONTIN~1\ANACON~1\python.exe
#> libpython: C:/Users/inp099/AppData/Local/CONTIN~1/ANACON~1/python37.dll
#> pythonhome: C:\Users\inp099\AppData\Local\CONTIN~1\ANACON~1
#> version: 3.7.1 (default, Dec 10 2018, 22:54:23) [MSC v.1915 64 bit (AMD64)]
#> Architecture: 64bit
#> numpy: C:\Users\inp099\AppData\Local\CONTIN~1\ANACON~1\lib\site-packages\numpy
#> numpy_version: 1.15.4
#> tensorflow: [NOT FOUND]
#>
#> python versions found:
#> C:\Users\inp099\AppData\Local\CONTIN~1\ANACON~1\python.exe
#> C:\Users\inp099\AppData\Local\Continuum\anaconda3\python.exe
Created on 2019-01-26 by the reprex package (v0.2.1)
- Session information
devtools::session_info()
#> - Session info ----------------------------------------------------------
#> setting value
#> version R Under development (unstable) (2018-11-30 r75724)
#> os Windows 10 x64
#> system x86_64, mingw32
#> ui RTerm
#> language (EN)
#> collate English_United States.1252
#> ctype English_United States.1252
#> tz America/New_York
#> date 2019-01-26
#>
#> - Packages --------------------------------------------------------------
#> package * version date lib source
#> assertthat 0.2.0 2017-04-11 [1] CRAN (R 3.5.1)
#> backports 1.1.3 2018-12-14 [1] CRAN (R 3.6.0)
#> callr 3.1.1 2018-12-21 [1] CRAN (R 3.6.0)
#> cli 1.0.1.9000 2019-01-20 [1] Github (r-lib/cli@94e2fc5)
#> crayon 1.3.4 2017-09-16 [1] CRAN (R 3.5.1)
#> desc 1.2.0 2019-01-21 [1] Github (r-lib/desc@42b9578)
#> devtools 2.0.1.9000 2019-01-23 [1] Github (r-lib/devtools@3c368ad)
#> digest 0.6.18 2018-10-10 [1] CRAN (R 3.5.1)
#> evaluate 0.12 2018-10-09 [1] CRAN (R 3.5.1)
#> fs 1.2.6 2018-08-23 [1] CRAN (R 3.5.1)
#> glue 1.3.0 2018-07-17 [1] CRAN (R 3.5.1)
#> highr 0.7 2018-06-09 [1] CRAN (R 3.5.1)
#> htmltools 0.3.6 2017-04-28 [1] CRAN (R 3.5.1)
#> jsonlite 1.6 2018-12-07 [1] CRAN (R 3.6.0)
#> knitr 1.21 2018-12-10 [1] CRAN (R 3.6.0)
#> lattice 0.20-38 2018-11-04 [2] CRAN (R 3.6.0)
#> magrittr 1.5 2014-11-22 [1] CRAN (R 3.5.1)
#> Matrix 1.2-15 2018-11-01 [1] CRAN (R 3.5.1)
#> memoise 1.1.0 2017-04-21 [1] CRAN (R 3.5.1)
#> pkgbuild 1.0.2 2018-10-16 [1] CRAN (R 3.5.1)
#> pkgload 1.0.2 2018-10-29 [1] CRAN (R 3.6.0)
#> prettyunits 1.0.2 2015-07-13 [1] CRAN (R 3.5.1)
#> processx 3.2.1 2018-12-05 [1] CRAN (R 3.6.0)
#> ps 1.3.0 2018-12-21 [1] CRAN (R 3.6.0)
#> R6 2.3.0 2018-10-04 [1] CRAN (R 3.5.1)
#> Rcpp 1.0.0 2018-11-07 [1] CRAN (R 3.6.0)
#> remotes 2.0.2 2018-10-30 [1] CRAN (R 3.6.0)
#> reticulate * 1.10 2018-08-05 [1] CRAN (R 3.5.2)
#> rlang 0.3.1 2019-01-08 [1] CRAN (R 3.6.0)
#> rmarkdown 1.11 2018-12-08 [1] CRAN (R 3.6.0)
#> rprojroot 1.3-2 2018-01-03 [1] CRAN (R 3.5.1)
#> sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 3.6.0)
#> stringi 1.2.4 2018-07-20 [1] CRAN (R 3.6.0)
#> stringr 1.3.1 2018-05-10 [1] CRAN (R 3.5.1)
#> testthat 2.0.1 2018-10-13 [1] CRAN (R 3.5.1)
#> usethis 1.4.0.9000 2019-01-24 [1] Github (r-lib/usethis@3339fe9)
#> withr 2.1.2 2018-03-15 [1] CRAN (R 3.5.1)
#> xfun 0.4 2018-10-23 [1] CRAN (R 3.6.0)
#> yaml 2.2.0 2018-07-25 [1] CRAN (R 3.5.1)
#>
#> [1] C:/Users/inp099/Documents/R/win-library/3.6
#> [2] C:/Program Files/R/R-devel/library
IndrajeetPatil
All 13 comments
I am facing the same problem. Could any one help please.
Bijurikaaa
on 28 Jan 2019
@Bijurikaaa @IndrajeetPatil I had the same issue on two macs. Then I installed R studio on the platform Anaconda, installed keras package and r-tensorflow. Everything works well now, you can try it.
sjwscjj
on 29 Jan 2019
Sounds good. Shall try this. Thanks much.
Bijurika Baidya
Phone (9051137154)
On Tue 29 Jan, 2019, 08:22 sjwscjj <[email protected] wrote:
@Bijurikaaa https://github.com/Bijurikaaa @IndrajeetPatil
https://github.com/IndrajeetPatil I had the same issue on two macs.
Then I installed R studio on the platform Anaconda, installed keras package
and r-tensorflow. Everything works well now, you can try it.—
You are receiving this because you were mentioned.
Reply to this email directly, view it on GitHub
https://github.com/rstudio/keras/issues/649#issuecomment-458387699, or mute
the thread
https://github.com/notifications/unsubscribe-auth/As7gwC2yWpBxziKjrMXVCew2oC-Ocz8tks5vH7eIgaJpZM4aUNfy
.
Bijurikaaa
on 29 Jan 2019
For those who are facing a similar issue, here is how this can be solved. It's not easy to install keras from your installed version of RStudio.
Instead, install anaconda (https://www.anaconda.com/) and install a new version of RStudio in the conda environment. You should then be able to launch this new RStudio.
In this RStudio, you can do-
library(keras)
install_keras()
Voila!! It should work.
IndrajeetPatil
on 29 Jan 2019
Hello to everybody on this thread,
if you still have problems using install_tensorflow() from RStudio, please try again now.
First install tensorflow directly from GitHub, as in
devtools::install_github("rstudio/tensorflow")
devtools::install_github("rstudio/keras")
Then do
tensorflow::install_tensorflow()
tensorflow::tf_config()
which should give you version 1.12.
We have been installing TF 1.10 until yesterday because of a bug in that will only be fixed in TF 1.13 (which should be out anytime but unfortunately isn't yet). Now with people having installation problems due to incompatibilities with numpy as installed by conda, we decided to switch to TF 1.12 now and as soon as TF 1.13 is actually available, we'll install that by default.
Thanks for reporting the problem!
If you still run into problems installing, please open another issue and describe the problem, indicating the output of
reticulate::py_discover_config()
reticulate::use_condaenv("r-tensorflow")
reticulate::py_config()
Thanks!
skeydan
on 6 Feb 2019
reticulate::py_discover_config()
python: C:\Users\ajitb\ANACON~1\python.exe
libpython: C:/Users/ajitb/ANACON~1/python36.dll
pythonhome: C:\Users\ajitb\ANACON~1
version: 3.6.5 |Anaconda, Inc.| (default, Mar 29 2018, 13:32:41) [MSC v.1900 64 bit (AMD64)]
Architecture: 64bit
numpy: C:\Users\ajitb\ANACON~1\lib\site-packagesnumpy
numpy_version: 1.14.3
python versions found:
C:\Users\ajitb\ANACON~1\python.exe
C:\Users\ajitb\AppData\Local\Programs\Python\PYTHON~1\python.exe
C:\Users\ajitb\Anaconda3\python.exe
C:\Users\ajitb\Anaconda3\envs\r-tensorflow\python.exe
reticulate::use_condaenv("r-tensorflow")
reticulate::py_config()
python: C:\Users\ajitb\ANACON~1\python.exe
libpython: C:/Users/ajitb/ANACON~1/python36.dll
pythonhome: C:\Users\ajitb\ANACON~1
version: 3.6.5 |Anaconda, Inc.| (default, Mar 29 2018, 13:32:41) [MSC v.1900 64 bit (AMD64)]
Architecture: 64bit
numpy: C:\Users\ajitb\ANACON~1\lib\site-packagesnumpy
numpy_version: 1.14.3
tensorflow: [NOT FOUND]
python versions found:
C:\Users\ajitb\Anaconda3\envs\r-tensorflow\python.exe
C:\Users\ajitb\ANACON~1\python.exe
C:\Users\ajitb\AppData\Local\Programs\Python\PYTHON~1\python.exe
C:\Users\ajitb\Anaconda3\python.exe
ajitb1948
on 13 May 2019
Hello to everybody on this thread,
if you still have problems using
install_tensorflow()from RStudio, please try again now.First install
tensorflowdirectly from GitHub, as indevtools::install_github("rstudio/tensorflow") devtools::install_github("rstudio/keras")Then do
tensorflow::install_tensorflow() tensorflow::tf_config()which should give you version 1.12.
We have been installing TF 1.10 until yesterday because of a bug in that will only be fixed in TF 1.13 (which should be out anytime but unfortunately isn't yet). Now with people having installation problems due to incompatibilities with
numpyas installed byconda, we decided to switch to TF 1.12 now and as soon as TF 1.13 is actually available, we'll install that by default.Thanks for reporting the problem!
If you still run into problems installing, please open another issue and describe the problem, indicating the output of
reticulate::py_discover_config() reticulate::use_condaenv("r-tensorflow") reticulate::py_config()Thanks!
Thank a lot!!!
juanjosetsm
on 20 Jun 2019
In case this helps someone:
I was having the same problems as OP, however, I got tensorflow-gpu and keras-gpu running by going to /Documents/.conda/envs and deleting the folder "r-reticulate". Not sure why/how it was created, but that seemed to be the cause of the messed up environment.
Now go back into R, then reinstall reticulate and everything should be working!
Armandjg
on 26 Aug 2019
This is the only Keras Rstudio installation method that has ever worked for me:
https://irudnyts.github.io/custom-set-up-of-keras-and-tensorflow-for-r-and-python/
works seamlessly
maaxnaax
on 11 Sep 2019
I was having issues with this as well due to having some gnarly Python installations on the VM I'm working from (partly my fault; partly my organization's fault). What finally got it to work as that I had a separate installation of Anaconda just for my user, so I went in and modified my PATH environment variable to look there before any other Python environments. The keras::install_keras() worked perfectly after that.
mkuehn10
on 24 Oct 2019
For those who are facing a similar issue, here is how this can be solved. It's not easy to install
kerasfrom your installed version ofRStudio.Instead, install
anaconda(https://www.anaconda.com/) and install a new version ofRStudioin thecondaenvironment. You should then be able to launch this new RStudio.
In this RStudio, you can do-
library(keras) install_keras()Voila!! It should work.
Hi,
I have tried this method, it worked till I compiled the network then I got a fatal error.
tried it multiples times and kept getting the same error.
How can I solve it?
mousa-saeed
on 2 Nov 2019
In case this helps someone:
I was having the same problems as OP, however, I got tensorflow-gpu and keras-gpu running by going to /Documents/.conda/envs and deleting the folder "r-reticulate". Not sure why/how it was created, but that seemed to be the cause of the messed up environment.
Now go back into R, then reinstall reticulate and everything should be working!
thanks it works for me
Metalesaek
on 8 Apr 2020
This is the only Keras Rstudio installation method that has ever worked for me:
https://irudnyts.github.io/custom-set-up-of-keras-and-tensorflow-for-r-and-python/works seamlessly
This worked for me after so many other things failed!
Thank you!!
venciso
on 15 Jun 2020
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Most helpful comment
For those who are facing a similar issue, here is how this can be solved. It's not easy to install
kerasfrom your installed version ofRStudio.Instead, install
anaconda(https://www.anaconda.com/) and install a new version ofRStudioin thecondaenvironment. You should then be able to launch this new RStudio.In this RStudio, you can do-
Voila!! It should work.