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A WebGL accelerated JavaScript library for training and deploying ML models.

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This fixes the error in WebGPU-backed unit tests: OperationError: Failed to execute 'importExternalTexture' on 'GPUDevice': Failed to import texture from video element that doesn't have back resource. To see the...

This PR moves CodeSnippet to benchmark from server sider to client side. Specifically: Previously, CodeSnippet is hard-coded in a server file (benchmark_model.js), which will be executed by BrowserStack instances. This...

This only works on WebGPU. TODO: refine API docs; Add more dtype. Use case: ``` const shape: Shape = [16]; const gpuReadData = new tf.GPUReadData(aBuffer, shape, dtype); const a =...

This may not be considered a bug as the code may be functioning properly so I wanted to drop this here. **System information** - Tested on Ubuntu 22.04 and Windows...

type:others

Seems the cloud build still having trouble to correctly compute the pip deps. Manually set the protobuf version to be the same as tensorflow. ref https://github.com/tensorflow/tfjs/issues/6698 We can find the...

Uncaught (in promise) TypeError: Cannot read properties of undefined (reading 'length') at Module.inferFromImplicitShape (util_base.js:304:21) i have been hitting my head in this issue since two weeks, can you please help...

type:bug

Please make sure that this is a bug. As per our [GitHub Policy](https://github.com/tensorflow/tensorflow/blob/master/ISSUES.md), we only address code/doc bugs, performance issues, feature requests and build/installation issues on GitHub. tag:bug_template **System information**...

type:bug

**System information** - OS Platform and Distribution: MacOS 12.4 M1 - TensorFlow.js version: [0a9fdbd](https://github.com/tensorflow/tfjs/commit/0a9fdbd4501f7f99a6617f619414f47219b3d5d5) - Browser version: Google Chrome 102.0.5005.61 **Describe the current behavior** 6 tests failed with the following...

type:bug
stat:awaiting response

**System information** - Have I written custom code (as opposed to using a stock example script provided in TensorFlow.js): Yes, I have written custom code - OS Platform and Distribution...

type:feature
stat:awaiting response
comp:wasm

I went through the pure GPU pipeline example provided by @lina128 for the webgl backend. Is there any example for webgpu backend as well? I wanted to use the inference...

type:support
comp:webgpu