Source code for nvalchemiops.torch.types

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"""PyTorch dtype and device conversion utilities for Warp interop."""

from __future__ import annotations

import torch
import warp as wp




def get_wp_dtype(dtype: torch.dtype):
    """Get the Warp scalar dtype corresponding to a PyTorch dtype.

    Parameters
    ----------
    dtype : torch.dtype
        PyTorch floating-point dtype. Supported values: ``torch.float32``,
        ``torch.float64``, ``torch.float16``.

    Returns
    -------
    wp.type
        Corresponding Warp scalar dtype (``wp.float32``, ``wp.float64``, or
        ``wp.float16``).

    Raises
    ------
    ValueError
        If ``dtype`` is not one of the supported floating-point dtypes.
    """
    if dtype == torch.float32:
        return wp.float32
    elif dtype == torch.float64:
        return wp.float64
    elif dtype == torch.float16:
        return wp.float16
    else:
        raise ValueError(f"Unsupported dtype: {dtype}")





def get_wp_vec_dtype(dtype: torch.dtype):
    """Get the Warp 3-vector dtype corresponding to a PyTorch dtype.

    Parameters
    ----------
    dtype : torch.dtype
        PyTorch floating-point dtype. Supported values: ``torch.float32``,
        ``torch.float64``, ``torch.float16``.

    Returns
    -------
    wp.type
        Corresponding Warp vec3 dtype (``wp.vec3f``, ``wp.vec3d``, or
        ``wp.vec3h``).

    Raises
    ------
    ValueError
        If ``dtype`` is not one of the supported floating-point dtypes.
    """
    if dtype == torch.float32:
        return wp.vec3f
    elif dtype == torch.float64:
        return wp.vec3d
    elif dtype == torch.float16:
        return wp.vec3h
    else:
        raise ValueError(f"Unsupported dtype: {dtype}")





def get_wp_mat_dtype(dtype: torch.dtype):
    """Get the Warp 3x3 matrix dtype corresponding to a PyTorch dtype.

    Parameters
    ----------
    dtype : torch.dtype
        PyTorch floating-point dtype. Supported values: ``torch.float32``,
        ``torch.float64``, ``torch.float16``.

    Returns
    -------
    wp.type
        Corresponding Warp mat33 dtype (``wp.mat33f``, ``wp.mat33d``, or
        ``wp.mat33h``).

    Raises
    ------
    ValueError
        If ``dtype`` is not one of the supported floating-point dtypes.
    """
    if dtype == torch.float32:
        return wp.mat33f
    elif dtype == torch.float64:
        return wp.mat33d
    elif dtype == torch.float16:
        return wp.mat33h
    else:
        raise ValueError(f"Unsupported dtype: {dtype}")