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* Make torch device module `Hashable` and `Comparable` so it can used as key for | ||
`Hashtbl` and `Map`. | ||
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* Automatically detect cuda availability for some installation options | ||
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* Refactor code generation and clarified stubs vs. bindings | ||
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* Require OCaml runtime locks before raising the exception. | ||
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* fixed Npy lib misnaming in `tensor_tool.ml` | ||
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* Release OCaml during backward passes, potentially improving async performance. | ||
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* Amend optional OPAM libtorch dependency to correct version | ||
## Release v0.17.0 | ||
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* Torch 2.2. | ||
* Automatically detected cuda availability for some installation options. | ||
* Released OCaml lock during backward passes, potentially improving async performance. | ||
* Informed OCaml GC of tensor memory allocations, greatly reducing memory usage. | ||
* Various compilation fixes in bin and examples. | ||
* Fixed bug that returned OCaml floats (doubles) in single precision. | ||
* Fixed bug that performed incorrect reductions in some cases. | ||
* Added various new functionality, e.g. optional string arguments for generated functions, | ||
Scalar.to_int. |