Metal | Examples for Apple 's Metal APIs | iOS library

 by   dehesa Swift Version: Current License: MIT

kandi X-RAY | Metal Summary

kandi X-RAY | Metal Summary

Metal is a Swift library typically used in Mobile, iOS applications. Metal has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This repo contains code with examples on how to use Apple's Metal GPU APIs. Some sample code has been created entirely by me, while others have been picked from Github. The latter ones are in this repo because they have been heavily modified, not only to support the latest version of Swift, but also to add support to iOS or macOS (when applicable). Links to the source Github repos or websites are provided.
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            kandi-support Support

              Metal has a low active ecosystem.
              It has 136 star(s) with 14 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Metal has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Metal is current.

            kandi-Quality Quality

              Metal has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Metal is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Metal releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of Metal
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            Metal Key Features

            No Key Features are available at this moment for Metal.

            Metal Examples and Code Snippets

            No Code Snippets are available at this moment for Metal.

            Community Discussions

            QUESTION

            Why Python native on M1 Max is greatly slower than Python on old Intel i5?
            Asked 2022-Mar-29 at 03:35

            I just got my new MacBook Pro with M1 Max chip and am setting up Python. I've tried several combinational settings to test speed - now I'm quite confused. First put my questions here:

            • Why python run natively on M1 Max is greatly (~100%) slower than on my old MacBook Pro 2016 with Intel i5?
            • On M1 Max, why there isn't significant speed difference between native run (by miniforge) and run via Rosetta (by anaconda) - which is supposed to be slower ~20%?
            • On M1 Max and native run, why there isn't significant speed difference between conda installed Numpy and TensorFlow installed Numpy - which is supposed to be faster?
            • On M1 Max, why run in PyCharm IDE is constantly slower ~20% than run from terminal, which doesn't happen on my old Intel Mac.

            Evidence supporting my questions is as follows:

            Here are the settings I've tried:

            1. Python installed by

            • Miniforge-arm64, so that python is natively run on M1 Max Chip. (Check from Activity Monitor, Kind of python process is Apple).
            • Anaconda. Then python is run via Rosseta. (Check from Activity Monitor, Kind of python process is Intel).

            2. Numpy installed by

            • conda install numpy: numpy from original conda-forge channel, or pre-installed with anaconda.
            • Apple-TensorFlow: with python installed by miniforge, I directly install tensorflow, and numpy will also be installed. It's said that, numpy installed in this way is optimized for Apple M1 and will be faster. Here is the installation commands:
            ...

            ANSWER

            Answered 2021-Dec-06 at 05:53
            Possible Cause: Different BLAS Libraries

            Since the benchmark is running linear algebra routines, what is likely being tested here are the BLAS implementations. A default Anaconda distribution for osx-64 platform is going to come with Intel's MKL implementation; the osx-arm64 platform only has the generic Netlib BLAS and the OpenBLAS implementation options.

            For me (MacOS w/ Intel i9), I get the following benchmark results:

            BLAS Implmentation Mean Timing (s) mkl 0.95932 blis 1.72059 openblas 2.17023 netlib 5.72782

            So, I suspect the old MBP had MKL installed, and the M1 system is installing either Netlib or OpenBLAS. Maybe try figuring out whether Netlib or OpenBLAS are faster on M1, and keep the faster one.

            Specifying BLAS Implementation

            Here are specifically the different environments I tested:

            Source https://stackoverflow.com/questions/70240506

            QUESTION

            Building a static array at compile time
            Asked 2022-Mar-08 at 22:33

            I have a few large static arrays that are used in a resource constrained embedded system (small microcontroller, bare metal). These are occasionally added to over the course of the project, but all follow that same mathematical formula for population. I could just make a Python script to generate a new header with the needed arrays before compilation, but it would be nicer to have it happen in the pre-processor like you might do with template meta-programming in C++. Is there any relatively easy way to do this in C? I've seen ways to get control structures like while loops using just the pre-processor, but that seems a bit unnatural to me.

            Here is an example of once such map, an approximation to arctan, in Python, where the parameter a is used to determine the length and values of the array, and is currently run at a variety of values from about 100 to about 2^14:

            ...

            ANSWER

            Answered 2022-Mar-08 at 22:33

            Is there any relatively easy way to do this in C?

            No.

            Stick to a Python script and incorporate it inside your build system. It is normal to generate C code using other scripts. This will be strongly relatively easier than a million lines of C code.

            Take a look at M4 or Jinja2 (or PHP) - these macro processors allow sharing code with C source in the same file.

            Source https://stackoverflow.com/questions/71396438

            QUESTION

            Attempting to register a user on my devise app causes undefined method `user_url' for #
            Asked 2022-Mar-04 at 13:29

            I am getting this error when I try to sign up a user. After this error, I'm still able to sign in with the user it would've created, but it always shows me this upon registration. Please let me know if there's other information you need. Been stumped on this for a few days.

            Here is the exception causes:

            Here is the callback for the error:

            ...

            ANSWER

            Answered 2022-Jan-03 at 12:08

            This seems to a be a known issue with Rails 7 and Devise now. To fix it in the meantime simply add the following line to your devise.rb.

            config.navigational_formats = ['*/*', :html, :turbo_stream]

            Source: https://github.com/heartcombo/devise/issues/5439

            Source https://stackoverflow.com/questions/70413914

            QUESTION

            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:

            ...

            ANSWER

            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.

            Source https://stackoverflow.com/questions/71099818

            QUESTION

            Efficient code for custom color formatting in tkinter python
            Asked 2022-Jan-11 at 14:31

            [Editing this question completely] Thank you , for those who helped in building the Periodic Table successfully . As I completed it , I tried to link it with another of my project E-Search , which acts like Google and fetches answers , except that it will fetch me the data of the Periodic Table .

            But , I got a problem - not with the searching but with the layout . I'm trying to layout the x-scrollbar in my canvas which will display results regarding the search . However , it is not properly done . Can anyone please help ?

            Below here is my code :

            ...

            ANSWER

            Answered 2021-Dec-29 at 20:33

            I rewrote your code with some better ways to create table. My idea was to pick out the buttons that fell onto a range of type and then loop through those buttons and change its color to those type.

            Source https://stackoverflow.com/questions/70506629

            QUESTION

            Synchronize work between CPU and GPU within single command buffer using MTLSharedEvent
            Asked 2022-Jan-11 at 10:53

            I am trying to use MTLSharedEvent along with MTLSharedEventListener to synchronize computation between GPU and CPU, as in example provided by Apple (https://developer.apple.com/documentation/metal/synchronization/synchronizing_events_between_a_gpu_and_the_cpu). Basically what I want to achieve is have work split into 3 parts executed in order, like so:

            1. GPU computation part 1
            2. CPU computation based on results from GPU computation part 1
            3. GPU computation part 2 after CPU computation

            My problem is that eventListener block is always called before command buffer is being scheduled for execution, which make my CPU task execute first in order.

            To simplify the case, let’s use simple commands that fill MTLBuffer with certain values (my original use case is more complicated, as using compute encoders with custom shaders, but behaves the same):

            ...

            ANSWER

            Answered 2022-Jan-11 at 10:53

            This is perfectly fine that command buffer is committed. In fact if it wouldn't be committed you'll never get to notify block.

            GPU and CPU runs in parallel. So when you use MTLEvent you don't stop executing CPU code (all the Swift code actually). You just tell GPU in what order to execute GPU code.

            So what's happening in your case:

            1. All your code runs in a single CPU thread without any interruption.
            2. GPU starts executing command buffer commands only when you call commit(). Before it GPU actually don't do anything. You just scheduled command to be performed on GPU but don't perform them.
            3. When GPU executes commands it checks for your MTLEvent. It performs part 1, then encodes value 1 to event, performs notify block, encodes value 2, performs second GPU block.

            But again all the actual GPU work starts only when you call commit() on command buffer. That's why buffer is already committed in notify block. Because it is performed after commit().

            Source https://stackoverflow.com/questions/70646270

            QUESTION

            Why is ArgoCD confusing GitHub.com with my own public IP?
            Asked 2022-Jan-10 at 17:37

            I have just set up a kubernetes cluster on bare metal using kubeadm, Flannel and MetalLB. Next step for me is to install ArgoCD.

            I installed the ArgoCD yaml from the "Getting Started" page and logged in.

            When adding my Git repositories ArgoCD gives me very weird error messages: The error message seems to suggest that ArgoCD for some reason is resolving github.com to my public IP address (I am not exposing SSH, therefore connection refused).

            I can not find any reason why it would do this. When using https:// instead of SSH I get the same result, but on port 443.

            I have put a dummy pod in the same namespace as ArgoCD and made some DNS queries. These queries resolved correctly.

            What makes ArgoCD think that github.com resolves to my public IP address?

            EDIT:

            I have also checked for network policies in the argocd namespace and found no policy that was restricting egress.

            I have had this working on clusters in the same network previously and have not changed my router firewall since then.

            ...

            ANSWER

            Answered 2022-Jan-08 at 21:04

            That looks like argoproj/argo-cd issue 1510, where the initial diagnostic was that the cluster is blocking outbound connections to GitHub. And it suggested to check the egress configuration.

            Yet, the issue was resolved with an ingress rule configuration:

            need to define in values.yaml.
            argo-cd default provide subdomain but in our case it was /argocd

            Source https://stackoverflow.com/questions/70600322

            QUESTION

            How to build Apple's Metal-cpp example using CMake?
            Asked 2022-Jan-08 at 16:39

            Recently, Apple has released a library to use Metal directly using C++. The example that I've found online (https://github.com/moritzhof/metal-cpp-examples), works if I copy the source code and follow the steps outlined by Apple (https://developer.apple.com/metal/cpp/) in Xcode. I don't use the included Xcode project files, to avoid any "hidden" settings.

            Now I'm trying to get the same example to build using CMake, with this CMakeLists.txt:

            ...

            ANSWER

            Answered 2022-Jan-08 at 16:39

            All .metal files in an Xcode project that builds an application are compiled and built into a single default library.

            _device->newDefaultLibrary() return a new library object that contains the functions from the default library. This method returns nil if the default library cannot be found.

            Since you are not using Xcode, you should manually compile Metal Shading Language source code and build a Metal library.

            Then, at runtime, call the newLibrary(filePath, &error) method to retrieve and access your library as a MTL::Library object.

            Source https://stackoverflow.com/questions/70632495

            QUESTION

            How to configure cmake to recompile a target when a non .cpp source file is modified
            Asked 2022-Jan-08 at 01:16

            If we look at the minimal example below,

            ...

            ANSWER

            Answered 2022-Jan-08 at 01:16

            One way is to create a custom target and add a custom command to it that will generate your mylib.metallib

            Source https://stackoverflow.com/questions/70628435

            QUESTION

            Rust compiler not optimising lzcnt? (and similar functions)
            Asked 2021-Dec-26 at 01:56
            What was done:

            This follows as a result of experimenting on Compiler Explorer as to ascertain the compiler's (rustc's) behaviour when it comes to the log2()/leading_zeros() and similar functions. I came across this result with seems exceedingly both bizarre and concerning:

            Compiler Explorer link

            Code:

            ...

            ANSWER

            Answered 2021-Dec-26 at 01:56

            Old x86-64 CPUs don't support lzcnt, so rustc/llvm won't emit it by default. (They would execute it as bsr but the behavior is not identical.)

            Use -C target-feature=+lzcnt to enable it. Try.

            More generally, you may wish to use -C target-cpu=XXX to enable all the features of a specific CPU model. Use rustc --print target-cpus for a list.

            In particular, -C target-cpu=native will generate code for the CPU that rustc itself is running on, e.g. if you will run the code on the same machine where you are compiling it.

            Source https://stackoverflow.com/questions/70481312

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

            Vulnerabilities

            No vulnerabilities reported

            Install Metal

            You can download it from GitHub.

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