cuda.bindings._v2.driver.graph_add_node_v3#

cuda.bindings._v2.driver.graph_add_node_v3( intptr_t h_graph, dependencies, dependency_data, size_t num_dependencies, node_params, ) → intptr_t#

Adds a node of arbitrary type to a graph.

Creates a new node in h_graph described by node_params with num_dependencies dependencies specified via dependencies. num_dependencies may be 0. dependencies may be null if num_dependencies is 0. dependencies may not have any duplicate entries. node_params is a tagged union. The node type should be specified in the typename field, and type-specific parameters in the corresponding union member. All unused bytes - that is, reserved0 and all bytes past the utilized union member - must be set to zero. It is recommended to use brace initialization or memset to ensure all bytes are initialized. Note that for some node types, node_params may contain “out parameters” which are modified during the call, such as node_params->alloc.dptr. For kernel nodes, if both the kernel node’s CUfunction and ctx are non- NULL, the underlying device context of ctx must match the device context that the CUfunction was loaded into; otherwise the call returns CUDA_ERROR_INVALID_CONTEXT. A handle to the new node will be returned in ph_graph_node.

Parameters:

h_graph (intptr_t) – Graph to which to add the node.
dependencies (object) –
Dependencies of the node. It can be:
- an int as the pointer address to the array, or
- a Python sequence of ints (as pointer addresses).
dependency_data (intptr_t) – Optional edge data for the dependencies. If NULL, the data is assumed to be default (zeroed) for all dependencies.
num_dependencies (size_t) – Number of dependencies.
node_params (intptr_t) – Specification of the node.

Returns:

Returns newly created node.

Return type:

intptr_t