customize the wasm paths #1250
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customize the wasm paths #1250
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Thanks for this! I'll do some additional testing, and hopefully have this included with #1231. |
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Superseded by #1231 |
xenova
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Jul 30, 2025
* ONNX Runtime improvements (experimental native webgpu; fix iOS) (#1231) * customize the wasm paths * update implementation * allow using 'webgpu' in nodejs binding * update version of onnxruntime-node * Upgrade onnxruntime-web to same version as onnxruntime-node * Update list of supported devices --------- Co-authored-by: Joshua Lochner <26504141+xenova@users.noreply.github.com> * customize the wasm paths (#1250) * customize the wasm paths * update implementation * [internal] Add is_decoder option to session retrieval for preferred output location * Update tests * Formatting * Bump ort versions * Bump onnxruntime-node version * Bump versions * Bump ORT versions * Bump versions * Only check webgpu fp16 for non-node environments * Fix * Assume node supports webgpu * Update ORT node support comment * Relax test strictness * Update conversion script versions * Downgrade onnxslim * cleanup * Update package-lock.json * Update onnxruntime versions * Update post-build script * Use built-in session release function * Call garbage collection after each tokenizer test * Do not double-throw error * Fix race-condition in build process with file removal * Update versions * Bump jinja version * [version] Update to 3.6.3 * Bump jinja version to support new features * [version] Update to 3.6.3 * Add support for LFM2 models (#1367) * Use prefix in lfm2 output location (#1369) * Update package-lock.json * Run `npm audit fix` * Add special tokens in text-generation pipeline if tokenizer requires (#1370) * Add special tokens in text-generation pipeline if tokenizer requires * Fix logits processors tests * Update bundles.test.js * Update comment * Formatting * Add support for ModernBERT Decoder (#1371) * Use from/to buffer instead of string Actually fixes #1343 * Add support for Voxtral (#1373) * Support longform voxtral processing (#1375) * [version] Update to 3.7.0 * Add support for Arcee (#1377) * Optimize tensor.slice() (#1381) * Optimize tensor.slice() The performance of executing `tensor.slice()` is super poor, especially for the 'logits' tensor with large dimensions. ``` const logits = outputs.logits.slice(null, -1, null);` ``` This is because currently implementation of the `slice` method manually iterates through each element and calculate indices which is a big time consuming if the tensor shape is large. For cases like `slice(null, -1, null)`, where the slicing operation is contiguous along certain dimensions, which can be optimized by bulk copy by using `TypeArray.subarray()` and `TypeArray.set()`. * nit * Add a few more tensor slice unit tests --------- Co-authored-by: Joshua Lochner <26504141+xenova@users.noreply.github.com> --------- Co-authored-by: Yulong Wang <7679871+fs-eire@users.noreply.github.com> Co-authored-by: Wanming Lin <wanming.lin@intel.com>
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This PR updates the logics to have a better customized
wasmPathssetting. Specifically, the following changes were made:(Safari) Fallback to non ASYNCIFY build of webassembly, because of an OOM issue: 🐛 v3 crashes on iOS and macOS devices due to increasing memory usage #1242
Because of the fallback feature, we need to access file ort-wasm-simd-threaded.mjs and ort-wasm-simd-threaded.wasm, which is not in package
@huggingface/transformers. point toonnxruntime-web.only apply override to
wasmPathswhenenv.backends.onnx.versions.webexists. The only situation that it does not exist is the nodejs build.The feature need to be well tested.