compute-engine | Highly optimized inference engine for Binarized Neural | Machine Learning library
kandi X-RAY | compute-engine Summary
kandi X-RAY | compute-engine Summary
Larq Compute Engine is being developed by a team of deep learning researchers and engineers at Plumerai to help accelerate both our own research and the general adoption of Binarized Neural Networks.
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Top functions reviewed by kandi - BETA
- Strip Lcequantize operators from a model .
- Convert a keras model into bytes .
- Get a variable from environ .
- Create an Android SDK rule .
- Convert a saved model .
- Setup the Python interpreter .
- Find quantized inputs and dequantize operators .
- Prompt the environment variable from the environment .
- Determine the NDK level .
- Modify an integer quantized model .
compute-engine Key Features
compute-engine Examples and Code Snippets
Community Discussions
Trending Discussions on compute-engine
QUESTION
I am trying to create multi instance in GCP with cloud function, use golang programing.
I refer tutorial in https://medium.com/google-cloud/using-cloud-scheduler-and-cloud-functions-to-deploy-a-periodic-compute-engine-vm-worker-2b897ef68dc5 then write some customize in my context. Here is my code
...ANSWER
Answered 2022-Mar-17 at 09:55I was found my answer. Root cause is each instance must have a disk partition, with different name. So, I change my code with some change, you can see it bellow.
QUESTION
I cannot ssh into my instance. I tried the following
- Created new ssh key pairs and added the project, but that didn't help. I create a brand new instance in the same project and I could ssh easily. So, I don't think the ssh keys are the problem.
- "Block project-wide SSH keys" is not selected either
- Created a machine image and spawned a new instance, that had the same problem
- Enable serial console with the "startup-script" but that didn't help either. It simply won't accept the password.
ANSWER
Answered 2021-Oct-17 at 16:17For your instance, either the Google Cloud packages or the Python installation or both are broken. This issue prevents you from being able to log in.
I recommend that you create a new instance and move the persistent disks from the broken instance to the new instance.
STEP 1:
Create a new instance in the same zone. A micro instance will work.
STEP 2:
Open a Cloud Shell prompt (this also works from your desktop if gcloud is set up). Execute this command. Replace NAME with your instance name (broken system) and DISK with the boot disk name and ZONE with the zone that the system is in:
QUESTION
I added a startup-script entry in the metadatas of my google cloud instance as suggested in the doc here the question Google Compute Engine - Start tmux with startup-script didn't work for me. my startup-script code is:
...ANSWER
Answered 2021-Sep-08 at 06:54First - depending on the image you're running your machine from - it has to have tmux installed. If it's a new machine with Debian 10 you need to put sudo apt install tmux -y at the start of your startup script to install it.
To check if the script ran at the start you can add the touch /tmp/testfile1.txt at the end and when the VM has booted up check if the file exists. That's the easies (and not so reliable way to tell if the script ran).
I'm not familiar with tmux but I've found out that the server service will exit of there are no sessions created, it looks to me like the server exitx before the new sessions are established. You can try using sleep 1 suggested here to solve your issue.
I tried running your script as is but had the same results as you, but I did the debugging I mentioned and everything worked;
I added some "debugging" lines to the script and ran it:
QUESTION
I'm pretty new to python — and programming in general — and I thought it would be nice to work on my new python skills through programming my google sheet. I followed google's python sheets api quickstart using repl.it and then using JupyterLab (see the bottom of the post for the code). It all worked well until the authorization. When I clicked on the link it send me and checked "allow," chrome gave me the error: "This site can’t be reached. localhost refused to connect" on site: http://localhost:49471/.
(The first thing that confused me about that was that I thought repl.it was not interacting with anything local to my computer and was doing everything in the cloud. Has something possibly gone wrong with repl.it or am I not understanding what localhost means?)
I'm on a mac and this happens to me no matter what browser I've tried: chrome, safari, firefox).
This may look like a repeat of another stackoverflow question, but I've tried the recommendations I've found on every other question that looked related and none of them worked for me (google doc api - localhost refusing to connect, Access Google Drive from Sheets: authorization, Http Err 500 when executing Google Sheets API php Quickstart authorization, Accessing Google Sheets API from Google Compute Engine (python)). The things I've tried include:
- In google cloud, I created an API key that takes HTTP referrers:
ANSWER
Answered 2021-Jul-03 at 20:15As far as I can tell, neither Repl.it nor Jupyter allow this kind of incoming connection. I'm working on my app directly from my computer now (and getting a new kind of error). If anyone sees this and thinks it's wrong, please let me know. Also, let me know if anyone knows of an online place to put code that will allow google connections. Otherwise, I'll mark this as answered as soon as stackoverflow allows me to.
QUESTION
I'm gonna be trying to set up my own VPN on GCP. So I'll be needing a static external IP address.
However, it costs a couple dollars every month.
I read this where it says The idea behind this change is to reduce global static IP usage and to encourage users to use private VM instances (without static external IP) and expose them to the outside via Cloud NAT, thus reducing the attack surface.
So is Cloud NAT like a free alternative to static external IPs?
Can I use Cloud NAT to get a static external IP? Or something similar?
If this is a very stupid question, please be patient with me and help me understand.
Thank you.
ANSWER
Answered 2021-May-08 at 06:13Cloud NAT is a SNAT service that allows your virtual machine that don't have an external IP address to have internet access. Cloud NAT cannot be used to receive incoming connections (DNAT) for those machines - you'll need an external IP address for that.
QUESTION
I am trying to decipher the meaning "scopes" in the following error message from Error: Could not load the default credentials. context: firebase login:ci AND firebase auth:export:
...ANSWER
Answered 2021-May-03 at 01:23I'm not familiar with Firebase, but I do recognize this:
QUESTION
Disclaimer: There are lots of similar questions mentioning the same error message but I read many and none of them pertained to my context.
I am trying to automate exporting the Firebase Authentication database using the command firebase --debug auth:export. The command executes flawlessly on my local machine. But when I try to run it on CI it fails with the following error message:
ANSWER
Answered 2021-Apr-30 at 23:46As implied by the Firebase CLI reference section "Use the CLI with CI systems", the --token should be passed to every firebase command:
Use this token when running firebase commands. You can use either of the following two options:
Store the token as the environment variable FIREBASE_TOKEN. Your system will automatically use the token.
Run all firebase commands with the --token flag in your CI system. The order of precedence for token loading is flag, environment variable, desired Firebase project.
Although --token is passed to the firebase use command in the .gitlab-ci.yml script, it is not being passed to the firebase auth:export command. Don't assume that firebase use saves not only the active project selection but also the token. According to firebase help use, its only purpose is to "set an active Firebase project for your working directory". It says nothing about setting an active token.
I have confirmed the following .gitlab-ci.yml script does, in fact, export the Firebase authentication database successfully:
QUESTION
I've created a simple go server and am following documentation to deploy the server on GCE. But I am getting the following error on my build. What am I missing? I've also tried using a specific version number (i.e. "1.16"), but still fails with a similar error message.
...ANSWER
Answered 2021-Apr-23 at 15:21For some reason the golang image isn't available at the moment via this registry. It could be an intermittent issue 🤷♂️
QUESTION
I have a container running Django, Nginx, and Gunicorn running on Compute Engine
I can successfully deploy and SSH into the VM but cannot access the external URL to the container despite creating several firewall rules.
It seems to be closed to port 80 even after exposing it from within the VM.
how do I fix this?
Here's a copy of my:
docker-compose file:
...ANSWER
Answered 2021-Mar-24 at 09:09Error you are getting may be a caused by a firewall rule blocking traffic or the container is not listening on port 80.
To be sure create a new firewall rule explicitly allowing connections to this host on port 80;
QUESTION
I'm trying to scrape the Tradingview web page with my own chart to read boolstates.
Here what I mean exactly
With this HTML code of the website
I'm working with Debian/Linux on a Server and programming with Python. I tried using BeautifulSoup to read the page and found out that BeautifulSoup can't run JavaScript and therefore can't display everything in HTML to work with it.
This code only outputs brackets []. So it didn't found the class I'm searching for
...ANSWER
Answered 2021-Mar-13 at 20:35Might be on the heavier side, but have you thought about doing it with Selenium? You'd be able to run the full browser. If I'm not mistaken, you can still use BeautifulSoup with it as well.
As for the route, you can probably find brokers that offer that info via a proper API, which would obviously be the ideal scenario. Interactive Brokers comes to mind.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install compute-engine
Pick a Larq model You can use Larq to build and train your own model or pick a pre-trained model from Larq Zoo.
Convert the Larq model LCE is built on top of TensorFlow Lite and uses the TensorFlow Lite FlatBuffer format to convert and serialize Larq models for inference. We provide an LCE Converter with additional optimization passes to increase the speed of execution of Larq models on supported target platforms.
Build LCE The LCE documentation provides the build instructions for Android and 64-bit ARM-based boards such as Raspberry Pi. Please follow the provided instructions to create a native LCE build or cross-compile for one of the supported targets.
Run inference LCE uses the TensorFlow Lite Interpreter to perform an inference. In addition to the already available built-in TensorFlow Lite operators, optimized LCE operators are registered to the interpreter to execute the Larq specific subgraphs of the model. An example to create and build an LCE compatible TensorFlow Lite interpreter for your own applications is provided here.
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