hpkfft.com

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icon company hpkfft.com icon location Portland, OR icon location High Performance Kernels provides a library for computing the FFT in one or more dimensions of either real or complex data in half, single, or double precision.

Results 23 comments of hpkfft.com

[QUESTION]: returning `nb::ndarray`

Arsiniy, Please see https://nanobind.readthedocs.io/en/latest/ndarray.html#returning-arrays-from-c-to-python and https://nanobind.readthedocs.io/en/latest/ndarray.html#data-ownership Having nanobind return [DLPack](https://dmlc.github.io/dlpack/latest/) and converting to a specific framework in Python can be a good solution. See: https://nanobind.readthedocs.io/en/latest/ndarray.html#array-libraries For example: ``` #include //...

[OTHER]: Generated stubs for nb::ndarray are too strict about dtype (e.g., NDArray[float64]) when nanobind converts inputs implicitly

For reference: [JAX Typing Best Practices](https://docs.jax.dev/en/latest/jax.typing.html#jax-typing-best-practices)

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