serving | performance serving system for machine learning models | Machine Learning library

 by   tensorflow C++ Version: 2.12.1 License: Apache-2.0

kandi X-RAY | serving Summary

kandi X-RAY | serving Summary

serving is a C++ library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Tensorflow applications. serving has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. You can download it from GitHub.

TensorFlow Serving is a flexible, high-performance serving system for machine learning models, designed for production environments. It deals with the inference aspect of machine learning, taking models after training and managing their lifetimes, providing clients with versioned access via a high-performance, reference-counted lookup table. TensorFlow Serving provides out-of-the-box integration with TensorFlow models, but can be easily extended to serve other types of models and data.

            kandi-support Support

              serving has a medium active ecosystem.
              It has 5877 star(s) with 2205 fork(s). There are 241 watchers for this library.
              There were 3 major release(s) in the last 12 months.
              There are 43 open issues and 1375 have been closed. On average issues are closed in 901 days. There are 39 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of serving is 2.12.1

            kandi-Quality Quality

              serving has 0 bugs and 0 code smells.

            kandi-Security Security

              serving has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              serving code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              serving is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              serving releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 2242 lines of code, 138 functions and 25 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of serving
            Get all kandi verified functions for this library.

            serving Key Features

            No Key Features are available at this moment for serving.

            serving Examples and Code Snippets

            Ensures that the input tensors are serving .
            pythondot img1Lines of Code : 42dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _ensure_servable(input_tensors, names_to_output_tensor_infos):
              """Check that the signature outputs don't depend on unreachable placeholders.
                input_tensors: An iterable of `Tensor`s specified as the signature's inputs.
            Adds default serving output .
            pythondot img2Lines of Code : 29dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _maybe_add_default_serving_output(export_outputs):
              """Add a default serving output to the export_outputs if not present.
                export_outputs: Describes the output signatures to be exported to
                  `SavedModel` and used during serving.   
            Add a default serving output .
            pythondot img3Lines of Code : 28dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _maybe_add_default_serving_output(export_outputs):
              """Add a default serving output to the export_outputs if not present.
                export_outputs: Describes the output signatures to be exported to
                  `SavedModel` and used during serving.   

            Community Discussions


            400 response to CORS preflight
            Asked 2022-Apr-02 at 10:21

            I have swagger (docker: swaggerapi/swagger-ui) running on with two definitions for api servers running on and

            Both a and b are flask (python) servers. had CORS set up for a while now due to serving a webapp on a fourth subdomain. This works fine both on that subdomain, as well as in swagger. Now I did the same CORS setup for, however without success.

            The setup on both servers looks like this:



            Answered 2021-Sep-17 at 23:52

            A 400 is a pretty unusual response code for a preflight response. That suggests the endpoint might be configured to expect a certain request body/payload or headers in the request regardless of what the HTTP method is for the request. But since for the preflight OPTIONS request, the browser sends no request body and no additional header, the server code is not receiving what it expects.

            For such cases, the fix is to ensure you have a specific, separate handler for OPTIONS requests configured for that route/endpoint.



            Cosmos DB Emulator Excessive CPU usage
            Asked 2022-Mar-21 at 13:30

            Since upgrading to version 2.14.5 of the Cosmos DB emulator, I'm seeing high CPU usage by what appears to be the tray icon process (Microsoft.Azure.Cosmos.Emulator.exe). See below, using up most of a CPU core constantly on an Intel i9-12900K. This was an upgrade from 2.14.4 on Windows 11.

            Anyone from the emulator team know what might be going on? Seems like the process is doing something silly, given the system is otherwise quiet and the process is not actually doing anything related to serving requests.

            Also worth noting is that opening the "About Azure Cosmos Emulator" dialog immediately drops the CPU usage to 0. When closing the dialog, usage jumps back.



            Answered 2022-Mar-21 at 13:30

            This appears to have been fixed with release of version 2.14.6



            WebSocket not working when trying to send generated answer by keras
            Asked 2022-Feb-17 at 12:52

            I am implementing a simple chatbot using keras and WebSockets. I now have a model that can make a prediction about the user input and send the according answer.

            When I do it through command line it works fine, however when I try to send the answer through my WebSocket, the WebSocket doesn't even start anymore.

            Here is my working WebSocket code:



            Answered 2022-Feb-16 at 19:53

            There is no problem with your websocket route. Could you please share how you are triggering this route? Websocket is a different protocol and I'm suspecting that you are using a HTTP client to test websocket. For example in Postman:

            Postman New Screen

            HTTP requests are different than websocket requests. So, you should use appropriate client to test websocket.



            JavaScript: Multiple cropping selection in one image?
            Asked 2022-Feb-15 at 12:00

            PS: Is it not a research kind of question! I have been trying to do this from very long time.

            I am trying to make web based an image editor where user can select multiple cropping area and after selection save/download all the image area. like below.

            As of now I discovered two libraries

            1.Cropper.JS where is only single selection feature is available.

            2.Jcrop where only single selection area restrictions.

            I am currently using cropper.Js but it seems impossible for me to make multiple selection cropping. Any help is much appreciated.if any other method/library available in JavaScript, Angular or PHP or reactJS for multiple image area selection and crop and download in one go as in the image below.

            As per @Keyhan Answer I am Updating my Jcrop library Code



            Answered 2022-Feb-15 at 10:01

            I tried to explain the code with comments:



            Storybook error when using Webpack5 with Next.JS app + Typescript
            Asked 2022-Feb-08 at 19:42

            I am trying to set up a fresh next.js app using Typescript and Storybook.

            Following some guides online gets me fairly close but I note that the rendered 'HomePage' story is missing styling

            compared with what I get when I simply run



            Answered 2022-Feb-08 at 19:42

            Found the answer here ->

            The solution is simply to add the following to .storybook\main.js



            Nginx cache size not growing above 344GB
            Asked 2022-Feb-06 at 08:14

            I have Nginx cache server built on Ubuntu 18 and with docker image nginx:1.19.10-alpine.

            Ubuntu 18 disk usage details given below for reference



            Answered 2022-Jan-27 at 02:15

            You can try to configure the temporary cache directory



            Idiomatic way to deserialise JSON to type based on string in Go
            Asked 2022-Feb-02 at 13:14

            I'm using Go v1.17.3

            I'm pretty new with Go and coming from an OOP background I'm very aware I'm not in the Gopher mindset yet! So I've split the question in 2 sections, the first is the problem I'm trying to solve, the second is what I've done so far. That way if I've approached the solution in a really strange way from what idiomatic Go should look like the problem should still be clear.

            1. Problem I'm trying to solve:

            Deserialise a JSON request to a struct where the struct name is specified in one of the fields on the request.

            Example code




            Answered 2022-Feb-02 at 13:14
            func CreateCommandHandler(w http.ResponseWriter, r *http.Request) {
                var cmd CreateCommand
                if err := json.NewDecoder(r.Body).Decode(&cmd); err != nil {
                var entities []*entity.Entity
                for _, v := range cmd.DTOs {
                    e, err := v.DTO.ToEntity()
                    if err != nil {
                    entities = append(entities, e)



            Kubernetes NodePort is not available on all nodes - Oracle Cloud Infrastructure (OCI)
            Asked 2022-Jan-31 at 14:37

            I've been trying to get over this but I'm out of ideas for now hence I'm posting the question here.

            I'm experimenting with the Oracle Cloud Infrastructure (OCI) and I wanted to create a Kubernetes cluster which exposes some service.

            The goal is:

            • A running managed Kubernetes cluster (OKE)
            • 2 nodes at least
            • 1 service that's accessible for external parties

            The infra looks the following:

            • A VCN for the whole thing
            • A private subnet on
            • A public subnet on
            • NAT gateway for the private subnet
            • Internet gateway for the public subnet
            • Service gateway
            • The corresponding security lists for both subnets which I won't share right now unless somebody asks for it
            • A containerengine K8S (OKE) cluster in the VCN with public Kubernetes API enabled
            • A node pool for the K8S cluster with 2 availability domains and with 2 instances right now. The instances are ARM machines with 1 OCPU and 6GB RAM running Oracle-Linux-7.9-aarch64-2021.12.08-0 images.
            • A namespace in the K8S cluster (call it staging for now)
            • A deployment which refers to a custom NextJS application serving traffic on port 3000

            And now it's the point where I want to expose the service running on port 3000.

            I have 2 obvious choices:

            • Create a LoadBalancer service in K8S which will spawn a classic Load Balancer in OCI, set up it's listener and set up the backendset referring to the 2 nodes in the cluster, plus it adjusts the subnet security lists to make sure traffic can flow
            • Create a Network Load Balancer in OCI and create a NodePort on K8S and manually configure the NLB to the ~same settings as the classic Load Balancer

            The first one works perfectly fine but I want to use this cluster with minimal costs so I decided to experiment with option 2, the NLB since it's way cheaper (zero cost).

            Long story short, everything works and I can access the NextJS app on the IP of the NLB most of the time but sometimes I couldn't. I decided to look it up what's going on and turned out the NodePort that I exposed in the cluster isn't working how I'd imagine.

            The service behind the NodePort is only accessible on the Node that's running the pod in K8S. Assume NodeA is running the service and NodeB is just there chilling. If I try to hit the service on NodeA, everything is fine. But when I try to do the same on NodeB, I don't get a response at all.

            That's my problem and I couldn't figure out what could be the issue.

            What I've tried so far:

            • Switching from ARM machines to AMD ones - no change
            • Created a bastion host in the public subnet to test which nodes are responding to requests. Turned out only the node responds that's running the pod.
            • Created a regular LoadBalancer in K8S with the same config as the NodePort (in this case OCI will create a classic Load Balancer), that works perfectly
            • Tried upgrading to Oracle 8.4 images for the K8S nodes, didn't fix it
            • Ran the Node Doctor on the nodes, everything is fine
            • Checked the logs of kube-proxy, kube-flannel, core-dns, no error
            • Since the cluster consists of 2 nodes, I gave it a try and added one more node and the service was not accessible on the new node either
            • Recreated the cluster from scratch

            Edit: Some update. I've tried to use a DaemonSet instead of a regular Deployment for the pod to ensure that as a temporary solution, all nodes are running at least one instance of the pod and surprise. The node that was previously not responding to requests on that specific port, it still does not, even though a pod is running on it.

            Edit2: Originally I was running the latest K8S version for the cluster (v1.21.5) and I tried downgrading to v1.20.11 and unfortunately the issue is still present.

            Edit3: Checked if the NodePort is open on the node that's not responding and it is, at least kube-proxy is listening on it.



            Answered 2022-Jan-31 at 12:06

            Might not be the ideal fix, but can you try changing the externalTrafficPolicy to Local. This would prevent the health check on the nodes which don't run the application to fail. This way the traffic will only be forwarded to the node where the application is . Setting externalTrafficPolicy to local is also a requirement to preserve source IP of the connection. Also, can you share the health check config for both NLB and LB that you are using. When you change the externalTrafficPolicy, note that the health check for LB would change and the same needs to be applied to NLB.

            Edit: Also note that you need a security list/ network security group added to your node subnet/nodepool, which allows traffic on all protocols from the worker node subnet.



            Vue 3: Module '"../../node_modules/vue/dist/vue"' has no exported member
            Asked 2022-Jan-24 at 08:38

            After updating my npm packages, some of the imports from the 'vue' module started showing errors:

            TS2305: Module '"../../node_modules/vue/dist/vue"' has no exported member 'X'

            where X is nextTick, onMounted, ref, watch etc. When serving the project, Vue says it's "failed to compile". WebStorm actually recognizes the exports, suggests them and shows types, but the error is shown regardless. Some exports like computed and defineComponent work just fine.

            What I've tried:

            • Rollback to the previously used Vue version "3.2.2" > "3.0.11". It makes the abovementioned type errors disappear, but the app stops working entirely, showing lots of TypeError: Object(...) is not a function errors in console and not rendering the app at all. In the terminal, some new warnings are introduced: "export 'X' (imported as '_X') was not found in 'vue' where X is createElementBlock, createElementVNode, normalizeClass and normalizeStyle.
            • Rollback other dependencies. None of the ones that I tried helped fix the problem, unfortunately.
            • Manually declare the entirety of 'vue' module. We can declare the 'vue' module exports in shims-vue.d.ts, and it actually makes the errors disappear, however, this seems like a terrible, time-consuming workaround, so I would opt out for a better solution if possible.

            My full list of dependencies:



            Answered 2021-Aug-15 at 13:53

            That named exports from composition API are unavailable means that vue is Vue 2 at some place which has only default export. Since Vue 3 is in dependencies and both lock file and node_modules were refreshed, this means that Vue 2 is nested dependency of some direct dependency.

            The problem needs to be investigated in lock file. It shows that @vue/cli-plugin-unit-jest@4.5.13 depends on vue-jest@3 which depends on vue@2.

            A possible solution is to upgrade @vue/cli-plugin-unit-jest to the latest version, next. The same likely applies to other @vue/cli-* packages because they have matching versions.



            How to serve a NextJs frontend using Golang (Go) and gorilla/mux?
            Asked 2022-Jan-02 at 19:54

            I followed this example for serving a NextJs front end single-page application using Golang and the native net/http package:



            Answered 2021-Dec-31 at 05:16

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install serving

            The easiest and most straight-forward way of using TensorFlow Serving is with Docker images. We highly recommend this route unless you have specific needs that are not addressed by running in a container.
            Install Tensorflow Serving using Docker (Recommended)
            Install Tensorflow Serving without Docker (Not Recommended)
            Build Tensorflow Serving from Source with Docker
            Deploy Tensorflow Serving on Kubernetes


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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