Troubleshooting
Problem
You can try to use this sequence to enable python on WSL2.1 environment.
library(tensorflow)
library(reticulate)
library(keras)
install_tensorflow()
py_config()
reticulate::py_available()
- You can get connection timed out error while it is installing tensorflow
- You might not have tensorflow and numpy while you to use keras::keras_model_sequential() function
Symptom
You can get connection timed out error while it is installing tensorflow
> library(tensorflow)
> library(reticulate)
> library(keras)
> install_tensorflow()
Creating virtual environment '~/.virtualenvs/r-reticulate' ...
Using python: /opt/conda/bin/python3.7
Collecting pip
Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None))
after connection broken by 'ConnectTimeoutError(<pip._vendor.urllib3.connection.VerifiedHTTPSConnection object at 0x7faab9f23a58>, 'Connection to pypi.org timed out. (connect timeout=15)')': /simple/pip/
You might not have tensorflow and numpy while you to use model <- keras::keras_model_sequential() function
|
Cause
Issue might be with it's find python3.7 and python2.7 versions and it only works on python3.7 environment.
Environment
IBM Watson Studio Local 2.1 installed on IBM Cloud Private
Component: R Studio
Resolving The Problem
You could try to use below and see this could overcome connection timed out error
library(reticulate)
Sys.setenv(PATH='/opt/conda/bin:/opt/conda/envs/R-3.6/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/opt/ibm/dsdriver/bin:/scripts/icp4d:/tmpws:/home/rstudio-admin/.nvm/versions/node/v10.16.3/bin')
use_python("/opt/conda/bin/python")
py_config()
reticulate::py_available()
Issue might be with it finds python3.7 and python2.7 versions and it works on python3.7 environment. We address this conflicts in 3.0, but for now you can use above procedure to activate python3.7.
The above will work for default "admin" user, it might not work for other users. It looks some conflict with python2.7 tensorflow libraries. You can use terminal window and run R and then run below code works fine, but when run on R console it fails.
library(tensorflow)
library(keras)
library(reticulate)
py_config()
reticulate::py_available()
model <- keras::keras_model_sequential()
When you run same code in R console instead of terminal, it hangs and restart R session. We have tested same on CP4D3.0 and it works fine.
Document Location
Worldwide
[{"Business Unit":{"code":"BU059","label":"IBM Software w\/o TPS"},"Product":{"code":"SSHGWL","label":"IBM Watson Studio Local"},"ARM Category":[{"code":"a8m0z000000bmw2AAA","label":"Modeling->Notebook - R"}],"ARM Case Number":"TS003352711","Platform":[{"code":"PF025","label":"Platform Independent"}],"Version":"2.1.x","Line of Business":{"code":"LOB10","label":"Data and AI"}}]
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Document Information
More support for:
IBM Watson Studio Local
Component:
Modeling->Notebook - R
Software version:
2.1.x
Document number:
6202467
Modified date:
30 April 2020
UID
ibm16202467