You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I want to serve R model using App Engine. I am following this example R with app engine, but stuck. everything works when I do not use 'AI Platform Deep Learning Containers' ,details below.
FROM gcr.io/deeplearning-platform-release/r-cpu
#FROM gcr.io/gcer-public/plumber-appengine <-- code works using this container
RUN R -e "install.packages(c('caret', 'xgboost', 'rjson', 'plumber','googleCloudStorageR','googleAuthR'), repos='http://cran.rstudio.com/')"
WORKDIR /payload/
COPY [".", "./"]
EXPOSE 8080
ENTRYPOINT ["R", "-e", "pr <- plumber::plumb(commandArgs()[4]); pr$run(host='0.0.0.0', port=8080,swagger=TRUE)"]
CMD ["main.R"]
main.R
print("in rest controller program")
#* @get /demoR
get_predict_length <- function(){
dataset <- iris
# create the model
model <- lm(Petal.Length ~ Petal.Width, data = dataset)
petal_width = "0.4"
#petal_width = '0.4'
# convert the input to a number
petal_width <- as.numeric(petal_width)
#create the prediction data frame
prediction_data <- data.frame(Petal.Width=petal_width)
# create the prediction
predict(model,prediction_data)
}
I deploy using 'gcloud app deploy and its fails with below error ERROR: (gcloud.app.deploy) Error Response: [4] Your deployment has failed to become healthy in the allotted time and therefore was rolled back. If you believe this was an error, try adjusting the 'app_start_timeout_sec' setting in the 'readiness_check' section.
I increased 'app_start_timeout_sec' gradually from 300 to 1800 and now I get below error:
Updating service [caret1-custom] (this may take several minutes)...failed. ERROR: (gcloud.app.deploy) Operation [apps/my-project-id/operations/7db0da8f-213b-476f-a6ba-9c8102b21cd5] timed out. This operation may still be underway.
Issue:
If I use 'FROM gcr.io/gcer-public/plumber-appengine' in place of google provide container 'gcr.io/deeplearning-platform-release/r-cpu', everything is successful.
Please advice, as I am plan to use google provided containers only.
Ashishsr123
The text was updated successfully, but these errors were encountered:
ashishsr123
changed the title
App Engine Flex + Docker + R +Plumber once deployed get 'site cannot be reached'
App Engine Flex + Docker + R +Plumber does not work only when I use 'AI Platform Deep Learning Containers'
Sep 2, 2019
I want to serve R model using App Engine. I am following this example R with app engine, but stuck. everything works when I do not use 'AI Platform Deep Learning Containers' ,details below.
Please refer to my code app.yaml
Dockerfile
main.R
I deploy using 'gcloud app deploy and its fails with below error
ERROR: (gcloud.app.deploy) Error Response: [4] Your deployment has failed to become healthy in the allotted time and therefore was rolled back. If you believe this was an error, try adjusting the 'app_start_timeout_sec' setting in the 'readiness_check' section.
I increased 'app_start_timeout_sec' gradually from 300 to 1800 and now I get below error:
Updating service [caret1-custom] (this may take several minutes)...failed.
ERROR: (gcloud.app.deploy) Operation [apps/my-project-id/operations/7db0da8f-213b-476f-a6ba-9c8102b21cd5] timed out. This operation may still be underway.
Issue:
If I use 'FROM gcr.io/gcer-public/plumber-appengine' in place of google provide container 'gcr.io/deeplearning-platform-release/r-cpu', everything is successful.
Please advice, as I am plan to use google provided containers only.
Ashishsr123
The text was updated successfully, but these errors were encountered: