DJL Error on simple Pytorch binding code about djl HOT 4 OPEN

@eix128

PyTorch 2.4.0 requires DJL 0.30.0 (which is not released yet, you can try 0.30.0-SNAPSHOT version if you want to).
See: https://docs.djl.ai/master/engines/pytorch/pytorch-engine/index.html#supported-pytorch-versions

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@eix128

We strongly recommend you to use BOM to ensure you are using correct version for each module. See: https://docs.djl.ai/master/bom/index.html

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Well this makes code more error prone.
maybe it will be better to make your DJL pack as single dependency.

when will you release 0.30 ? where can i get it ?

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@eix128
We cannot package PyTorch dependency in single dependency:

1. DJL support 11 engines (PyTorch, OnnxRuntime, MXNet, TensorFlow, FastText ...), user may only need one at a time
2. Even PyTorch has more than 10 different flavors (macos, win, linux, aarch64, precxx11, cuda-118, cuda-124 etc), GPU dependency are very big (more than 2G each), the total jar file size is more 20 G.
3. The same DJL version supports multiple version of PyTorch (2.4.0, 2.3.1, 1.13.1)
4. DJL has a lot extension jars and each jar has their own dependencies. Using BOM is common practice.

When 0.3.0 will be released? See: https://docs.djl.ai/master/index.html#release-notes
How to get nightly release: See: https://docs.djl.ai/master/docs/get.html#nightly-snapshots

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