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Given Arrayfire's ability to run on the GPU and the increasing use of image processing in deep learning, I'm curious if it is desirable to add interoperability with [DLPACK](https://dmlc.github.io/dl…
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I would like to have pytorch code call a subroutine that takes uses DLPack, such that the subroutine is generic across frameworks. However, I noticed that the interface provided by DLPack allows compl…
galv updated
3 months ago
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I've been experimenting with using `tfdlpack` to connect libraries using `__cuda_array_interface__` to TensorFlow with `tfdlpack` and reach a segmentation fault when invoking `to_dlpack` with a TF ten…
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**Concisely describe the proposed feature**
I hope that the compiler can add a dlpack backend, so that other deep learning frameworks can operate their own tensor through taichi's operators or taichi…
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In the recent discussions scattered everywhere, it appears that some functions should better be just implemented by DLPack so that the downstream libraries do not have to reinvent the wheels. The poss…
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### Required prerequisites
- [X] Make sure you've read the [documentation](https://pybind11.readthedocs.io). Your issue may be addressed there.
- [X] Search the [issue tracker](https://github.com/…
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**Description**
pb_utils.Tensor.from_dlpack throws a "DLPack tensor is not contiguous" exception on some (but not all) tensors that have a 0 dimension.
If any dimension is 0, I don't see how the t…
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### Describe the enhancement requested
With the work in https://github.com/apache/arrow/issues/33984 support for `DLPack` (exporting) will be added to `Arrays`. It would be great to do similar for `F…
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### Presentation of the new feature
It would be great to have a JAX compatible API with the form of a logit processor.
Input would be current vocab probabilities and output would just make inval…
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On [ONNX Runtime #6968](https://github.com/microsoft/onnxruntime/pull/6968) added DLPack support to allow tensor exchange between ORT, PyTorch and most major deep learning frameworks.
My request is…