gae | Implementation of Graph Auto-Encoders in TensorFlow | Machine Learning library
kandi X-RAY | gae Summary
kandi X-RAY | gae Summary
Implementation of Graph Auto-Encoders in TensorFlow
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Top functions reviewed by kandi - BETA
- Construct test set of test edges
- Convert a sparse matrix into a tuple
- Load the test data for a given dataset
- Parse an index file
- Call the function
- Dropout layer
- Compute the ROC score
- Construct a feed dictionary
- Preprocess the adjacency matrix
- Convert a sparse matrix into a tuple
- Builds the graph
gae Key Features
gae Examples and Code Snippets
Lines of Code : 19
License : No License
Copyupload: https://.appspot.com/blob_upload
or: http://localhost:8080/blob_upload
js:
css:
pdf: Test PDF
img:
images: https://lhN.ggpht.com/NlCARAtN.........3NQW9ZxYpms=s698
other: https://storage.googleapis.com/default_buck apply plugin: 'gae'
buildscript {
repositories {
mavenCentral()
}
dependencies {
classpath 'org.gradle.api.plugins:gradle-gae-plugin:0.9'
}
}
dependencies {
gaeSdk 'com.google.appengine:appengine-java-sdk:1.7.3' $ cd /path/to/project-name
$ npm install
$ gulp
$ gulp reset
$ npm install
$ gulp
$ npm install -g gulp
Community Discussions
Trending Discussions on gae
QUESTION
I am using imagekit.io CDN in front of Cloud Storage rendering with the next/image component. I had next/image working prior seeing online that it was not compatible with the GAE standard environment. This concerns me... even though it is working, I'm wondering if there is some kind of inefficiency because next cannot cache images outside of /tmp. next/image is kind of a magic black box to me.
next.config.js ...ANSWER
Answered 2022-Mar-16 at 22:34TL; DR Google App Engine Standard is not a great option for Next
As you've pointed out from the tutorial:
Nextjs Features like Image Component with Optimization, Incremental Static Regeneration requires nextjs cache folder to be read/written on runtime. But our Standard Environment has read and write access only to the /tmp directory.
Is not suitable to use next/image component on App Engine Standard due to the limitation that you could not write on runtime. This conclusion is based on the official documentation from both, Google App Engine Standard and NextJS
NextJS (next/image)Google App Engine Standard:Images are optimized dynamically upon request and stored in the
/cache/imagesdirectory. The optimized image file will be served for subsequent requests until the expiration is reached.
All files in this directory are stored in the instance's RAM, therefore writing to
/tmptakes up system memory. In addition, files in the/tmpdirectory are only available to the app instance that created the files. When the instance is deleted, the temporary files are deleted.
This seems to be a common struggle between developers using some NextJS components that requires to write to the /cache folder running on App Engine Standard, as shown on this GitHub discussion:
Currently, the image optimiser caches images locally, in the servers filesystem, typically under
.next/cache/images. While this is fine on some platform, it's not uncommon for managed deployment target to restrict write access to the filesystem (e.g. Google App Engine only provides write access to an in-memory/tmpfolder) ... Currently, the only option we have to use next image optimization within Google App Engine is to use a custom server, override the handler for_next/imageswith an handler that does exactly the same as the image optimizer
And on this GitHub issue:
Did you have a solution for this one? Considering moving our marketing site to AWS temporarily over this. Can't use next/image on GCP GAE.
If you really need to deploy to GCP GAE, you can set your application to a flex environment.
See also:
QUESTION
I'm unable to create a Cloud Function in my GCP project using GUI, but have admin roles for GCF, SA and IAM.
Here is the error message:
Missing necessary permission iam.serviceAccounts.actAs for cloud-client-api-gae on the service account serviceaccountname@DOMAIN.iam.gserviceaccount.com. Grant the role 'roles/iam.serviceAccountUser' to cloud-client-api-gae on the service account serviceaccountname@DOMAIN.iam.gserviceaccount.com.
cloud-client-api-gae is not an SA nor User on my IAM list. It must be a creature living underneath Graphical User Interfrace.
I have Enabled API for GCF, AppEngine and I have Service Account Admin role.
I had literally 0 search results when googling for cloud-client-api-gae.
ANSWER
Answered 2022-Jan-18 at 13:53I contacted GCP support and it seems I was missing a single permission for my user:
Service Account User - that's it.
PS: Person from support didn't know what this thing called "cloud-client-api-gae" is.
QUESTION
So what I am attemping to do is filter some data through a csv from a csv and when it goes through it searches the column and give me all the values that have a matching value in the 2nd CSV from the 1st one. However the values its giving are the groups when in fact I need the devices that are in the groups. So kinda like a group of object inside of an object.
...ANSWER
Answered 2022-Feb-10 at 00:07The Object[] in the result CSV means that there are multiple values found per DisplayName (i.e.: iPad-PER-Students-ML03 has multiple appearances in the big CSV) hence why there are multiple serials and multiple objectIDs. This would require 2 nested loops to unroll all the data:
- An outer loop to enumerate all rows of the Azure Groups CSV.
- And, an inner loop to enumerate all rows of the Big CSV per appearance of DisplayName / NewGroup.
QUESTION
I have a web application on GAE node.js standard environment. The server receives a POST request containing json in its body (not ready json file). I want to write this json file to Cloud Storage. How to do this?
...ANSWER
Answered 2022-Jan-23 at 21:39You have to get the body (the JSON) and save it in a cloud storage file. That should be enough
QUESTION
We are using command prompt c:\gcloud app deploy app.yaml, but get the following error:
ANSWER
Answered 2022-Jan-06 at 09:24Your setuptools version is likely to be yanked:
https://pypi.org/project/setuptools/60.3.0/
Not sure how to fix that without a working pip though.
QUESTION
I'm trying to connect from a nodejs/typescript codebase running in GAE to a GCP managed Postgres db via secret manager.
I'm getting:
...ANSWER
Answered 2021-Dec-21 at 12:59First, make sure you've granted Secrets Access to the GAE service account in IAM.
Then use the following code example to get your ENV vars from secret manager.
QUESTION
Google App Engine (GAE) creates a table for each day of logging with lines containing several logs information, such as "status" (e.g.: 500, 404), etc.
Yet, this table does not contain the Resolution Status for the errors in Error Reporting. E.g.:
At the moment, I would like to get how many "Acknowledged" errors happen per day. I can get which errors happen per day through the appengine_googleapis_com_request_log_* (e.g.: appengine_googleapis_com_request_log_20211130). However, I don't know how can I get if the error is Acknowledged or Open.
Does anyone know how can I combine those information, or at least if Error Reporting saves its information in any BigQuery table?
...ANSWER
Answered 2021-Dec-02 at 20:04Reviewing Google documentation to help with your question, apparently, it is impossible to get the resolution status.
You can view your errors on the Error Reporting page of your GCP Console, which displays a list of all errors in the order of frequency. Errors with the same root cause are grouped together. The error reporting list provides the following information for all reported errors:
- Resolution status
- Occurrences
- Users
- Error
- Seen in
- First seen
- Last seen
- Response code
In case you would like to have more information, you can review the viewing error documentation.
Now, as I said, there is no way to get the resolution status; however, what you can try to do is a feature request.
Here is some documentation that shows what you can get with the API, it could help you with the feature request.
- https://cloud.google.com/support/docs/issue-trackers
- https://cloud.google.com/error-reporting/reference/rest/v1beta1/ErrorEvent
Additionally, here is a link I found regarding the Error Processing and Log Monitoring documentation using GCP.
QUESTION
In app.yaml I have
...ANSWER
Answered 2021-Nov-25 at 22:12Adding
QUESTION
I am using Google App Engine Flexible with a standard Python 3 runtime. I had been using pandas 1.0.5 until now. I want to start using pandas 1.3.4. So I updated requirements.txt and tried deploying to GAE. I got an error
ANSWER
Answered 2021-Nov-20 at 02:47My original app.yaml had python_version: 3. The Google Cloud docs here state that python_version: 3 in app.yaml refers to Python 3.7.2. However, the build logs contained a line RUN virtualenv --no-download /env -p python3.6.
SOLUTION:
Change the config to python_version: 3.7. Now the corresponding line in the build log says RUN virtualenv --no-download /env -p python3.7.
QUESTION
We are currently migrating our App Engine from Java 8 to Java 11 using the bundled services (https://cloud.google.com/blog/products/serverless/support-for-app-engine-services-in-second-generation-runtimes).
We made it as far as that the application seems to be running as expected - BE, FE and Datastore all seem to work in our staging GCP project.
The following errors are showing up in our logs every 10 seconds, however:
...ANSWER
Answered 2021-Oct-22 at 12:09As per the App Engine documentation regarding issuing HTTP requests, if you use URL Fetch, it will cause requests to cloud client libraries (and that includes the Google Cloud Debugger Client for Java) to fail.
As wer are using the bundled services, we are still using an appengine-web.xml file.
We had the following line in there:
urlfetch
Removing that line fixed the issue for us.
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Install gae
You can use gae like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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