create_tensor_descriptor#

cuquantum.bindings.cutensornet.create_tensor_descriptor( intptr_t handle, int32_t num_modes, extents, strides, mode_labels, int data_type, ) → intptr_t[source]#

Initializes a cutensornetTensorDescriptor_t, describing the information of a tensor.

Parameters:

handle (intptr_t) – Opaque handle holding cuTensorNet’s library context.
num_modes (int32_t) – The number of modes of the tensor.
extents (object) –
Array of size num_modes; extents[j] corresponding to the extent of the j-th mode of the tensor. It can be:
- an int as the pointer address to the array, or
- a Python sequence of int64_t.
strides (object) –
Array of size num_modes; strides[j] corresponding to the linearized offset – in physical memory – between two logically-neighboring elements w.r.t the j-th mode of the tensor. It can be:
- an int as the pointer address to the array, or
- a Python sequence of int64_t.
mode_labels (object) –
Array of size num_modes; mode_labels[j] denotes the label of j-th mode of the tensor. It can be:
- an int as the pointer address to the array, or
- a Python sequence of int32_t.
data_type (int) – Denotes the data type for the tensor.

Returns:

Pointer to a cutensornetTensorDescriptor_t.

Return type:

intptr_t