network_append_tensor#

cuquantum.bindings.cutensornet.network_append_tensor( intptr_t handle, intptr_t network_desc, int32_t num_modes, extents, mode_labels, intptr_t qualifiers, int data_type, ) → int64_t[source]#

Appends an input tensor to the network.

Parameters:

handle (intptr_t) – Opaque handle holding cuTensorNet’s library context.
network_desc (intptr_t) – Opaque handle to a tensor network descriptor, created using create_network().
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.
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.
qualifiers (intptr_t) – Denotes the qualifiers of the input tensor in relation to network_desc. Refer to cutensornetTensorQualifiers_t.
data_type (int) – Denotes the data type of the tensor.

Returns:

On return, if not NULL, will hold the tensor identifier within the network_desc (may be not sequential, but is unique).

Return type:

int64_t