chore(deps): bump ort from 2.0.0-rc.2 to 2.0.0-rc.4

[dependabot[bot]]

Bumps ort from 2.0.0-rc.2 to 2.0.0-rc.4.

Release notes

Sourced from ort's releases.

v2.0.0-rc.4

This release addresses important linking issues with rc3, particularly regarding CUDA on Linux.

cuDNN 9 is no longer required for CUDA 12 builds (but is still the default); set the ORT_CUDNN_VERSION to 8 to use cuDNN 8 with CUDA 12.

If you have any questions about this release, we're here to help:

• Discord: #💬｜ort-discussions
• GitHub Discussions

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v2.0.0-rc.3

Training

ort now supports a (currently limited subset of) ONNX Runtime's Training API. You can use the on-device Training API for fine-tuning, online learning, or even full pretraining, on any CPU or GPU.

The train-clm example pretrains a language model from scratch. There's also a 'simple' API and related example, which offers a basically one-line training solution akin to 🤗 Transformers' Trainer API:

trainer.train(
    TrainingArguments::new(dataloader)
        .with_lr(7e-5)
        .with_max_steps(5000)
        .with_ckpt_strategy(CheckpointStrategy::Steps(500))
)?;

You can learn more about training with ONNX Runtime here. Please try it out and let us know how we can improve the training experience!

ONNX Runtime v1.18

ort now ships with ONNX Runtime v1.18.

The CUDA 12 build requires cuDNN 9.x, so if you're using CUDA 12, you need to update cuDNN. The CUDA 11 build still requires cuDNN 8.x.

IoBinding

IoBinding's previously rather unsound API has been reworked and actually documented.

Output selection & pre-allocation

Sometimes, you don't need to calculate all of the outputs of a session. Other times, you need to pre-allocate a session's outputs to save on slow device copies or expensive re-allocations. Now, you can do both of these things without IoBinding through a new API: OutputSelector.

let options = RunOptions::new()?.with_outputs(
    OutputSelector::no_default()
        .with("output")
        .preallocate("output", Tensor::<f32>::new(&Allocator::default(), [1, 3, 224, 224])?)
);
let outputs = model.run_with_options(inputs!["input" => input.view()]?, &options)?;

... (truncated)

Commits

• 04da381 2.0.0-rc.4
• bc764d3 feat(sys): CUDA 12 + cuDNN 8 builds, ref #235
• b2f4e1f fix: create an environment if one does not exist when registering TensorRT EP...
• bb57252 fix(sys): more robust CUDA version check. fixes #234
• 3dec017 2.0.0-rc.3
• 0a43482 feat: training (#202)
• 0407adb fix: link missing absl libraries, closes #228
• 1bff72d fix: TVM EP register function definition for non-load-dynamic, closes #227
• bf10c18 docs: Add Magika to projects using ort (#224)
• 66b0cb2 fix(sys): only link nsync if required, closes #223
• Additional commits viewable in compare view

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