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Module « numpy.matlib »

Fonction from_dlpack - module numpy.matlib

Signature de la fonction from_dlpack

Description

help(numpy.matlib.from_dlpack)

from_dlpack(x, /, *, device=None, copy=None)

    Create a NumPy array from an object implementing the ``__dlpack__``
    protocol. Generally, the returned NumPy array is a read-only view
    of the input object. See [1]_ and [2]_ for more details.

    Parameters
    ----------
    x : object
        A Python object that implements the ``__dlpack__`` and
        ``__dlpack_device__`` methods.
    device : device, optional
        Device on which to place the created array. Default: ``None``.
        Must be ``"cpu"`` if passed which may allow importing an array
        that is not already CPU available.
    copy : bool, optional
        Boolean indicating whether or not to copy the input. If ``True``,
        the copy will be made. If ``False``, the function will never copy,
        and will raise ``BufferError`` in case a copy is deemed necessary.
        Passing it requests a copy from the exporter who may or may not
        implement the capability.
        If ``None``, the function will reuse the existing memory buffer if
        possible and copy otherwise. Default: ``None``.


    Returns
    -------
    out : ndarray

    References
    ----------
    .. [1] Array API documentation,
       https://data-apis.org/array-api/latest/design_topics/data_interchange.html#syntax-for-data-interchange-with-dlpack

    .. [2] Python specification for DLPack,
       https://dmlc.github.io/dlpack/latest/python_spec.html

    Examples
    --------
    >>> import torch  # doctest: +SKIP
    >>> x = torch.arange(10)  # doctest: +SKIP
    >>> # create a view of the torch tensor "x" in NumPy
    >>> y = np.from_dlpack(x)  # doctest: +SKIP

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