abracudabra.conversion.ctensor
==============================

.. py:module:: abracudabra.conversion.ctensor

.. autoapi-nested-parse::

   Convert to torch tensor.



Functions
---------

.. autoapisummary::

   abracudabra.conversion.ctensor._to_tensor
   abracudabra.conversion.ctensor.to_tensor


Module Contents
---------------

.. py:function:: _to_tensor(sequence: abracudabra.annotations.Array | abracudabra.annotations.Series | abracudabra.annotations.DataFrame | torch.Tensor, /, *, strict: bool = False) -> torch.Tensor

   Convert an array, series, or dataframe to a torch tensor.

   The device of the tensor is determined by the device of the input.


.. py:function:: to_tensor(sequence: abracudabra.annotations.Array | abracudabra.annotations.Series | torch.Tensor, /, device: abracudabra.device.base.Device | str | None = None, *, strict: bool = False) -> torch.Tensor

   Convert an array, series, or dataframe to a torch tensor.

   :param sequence: The sequence to convert.
   :param device: The device to convert the sequence to. If None, the sequence stays
                  on the same device.
   :param strict: Whether to raise an error if the sequence is not a valid type.
                  A numpy/cupy array, pandas/cudf series or dataframe, or torch tensor
                  are valid types.
                  If False, the sequence is converted to a torch tensor if possible,
                  but it might raise an error if the conversion is not possible.

   :returns: A torch tensor.