Represents the device where DLTensor memory is allocated. The device is represented by the pair of fields: device_type: DLDeviceType

A wrapper that combines a pycapsule and array_interface for consumption by numpy. Parameters ---------- array_interface : dict A

A wrapper around a numpy array to keep track of references to the underlying memory. Parameters ---------- np_array : np.ndarray

Descriptor of data type for elements of DLTensor. The data type is described by a triple, `DLDataType.type_code`, `DLDataType.bits`, and `DLDa

An integer that encodes the category of DLTensor elements' data type.

The enum that encodes the type of the device where DLTensor memory is allocated.

Structure storing the pointer to the tensor descriptor, deleter callable for the tensor descriptor, and pointer to some additional data. These

Example container wrapping of DLTensor.

Structure describing strided layout of DLTensor. Fields are: data: void pointer device: DLDevice ndim: number of indices nee