cuquantum.cutensornet.create_tensor_descriptor¶

cuquantum.cutensornet.create_tensor_descriptor(intptr_t handle, int32_t n_modes, extents, strides, modes, int data_type) → intptr_t[source]¶

Create a tensor descriptor.

Parameters

handle (intptr_t) – The library handle.
n_modes (int32_t) – The number of modes of the tensor.
extents –
The extents of the tensor (on host). It can be
- an int as the pointer address to the array
- a Python sequence of int
strides –
The strides of the tensor (on host). It can be
- an int as the pointer address to the array
- a Python sequence of int
modes –
The modes of the tensor (on host). It can be
- an int as the pointer address to the array
- a Python sequence of int
data_type (cuquantum.cudaDataType) – The data type of the tensor.

Returns

An opaque descriptor handle (as Python int).

Return type

intptr_t

Note

If strides is set to 0 (NULL), it means the tensor is in the Fortran layout (F-contiguous).