tvm-webgpu-example | Compiling machine learning to wasm and WebGPU

by tqchen HTML Version: Current License: No License

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kandi X-RAY | tvm-webgpu-example Summary

tvm-webgpu-example is a HTML library typically used in Binary Executable Format applications. tvm-webgpu-example has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

This is an example project for building a tvm webgpu-backed module and deploy it to the web.

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tvm-webgpu-example has a low active ecosystem.

It has 65 star(s) with 4 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 1 have been closed. On average issues are closed in 27 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tvm-webgpu-example is current.

Quality

tvm-webgpu-example has no bugs reported.

Security

tvm-webgpu-example has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

tvm-webgpu-example does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

tvm-webgpu-example releases are not available. You will need to build from source code and install.

Installation instructions, examples and code snippets are available.

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tvm-webgpu-example Key Features

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tvm-webgpu-example Examples and Code Snippets

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Vulnerabilities

No vulnerabilities reported

Install tvm-webgpu-example

You will need the latest version of TVM on the master. Please install the TVM via source build(by setting the PYTHONPATH). Checkout the steps under tvm/web to enable webgpu support. Build the dependent files in the tvm/web. Then run the build script to build the model specific data. You can now serve the content under dist. You can also publish to github using the publish_gh_pages script.

Support

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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