BundleContainer#

class omni.graph.core.BundleContainer(
context: GraphContext,
node: Node,
attributes,
gpu_bundles: List[str],
read_only: bool = False,
gpu_ptr_kinds: Dict[str, PtrToPtrKind] | None = None,
)#

Bases: object

—– FOR USE BY GENERATED CODE ONLY —–

Simple container to manage the set of bundle objects used during a compute function by a node. This is initialized alongside attribute data in order to minimize the generated code. It will house a set of BundleContents objects, one per attribute that is a bundle type, with properties named after the attributes they represent

context#

Evaluation context for these bundles

Type:

GraphContext

node#

Owner of these bundles

Type:

Node

attributes#

Subset of node attributes to check for being bundles

Type:

list[Attribute]

gpu_bundles#

Subset of bundle attributes whose memory lives on the GPU

Type:

list[str]

read_only#

True if these attributes are read-only

Type:

bool

gpu_ptr_kinds#

Attribute array pointer locations for GPU-based array attributes

Type:

dict[str, PtrToPtrKind]

Methods

__init__(context, node, attributes, gpu_bundles)

Set up the list of members based on the list of node attributes.
__init__(
context: GraphContext,
node: Node,
attributes,
gpu_bundles: List[str],
read_only: bool = False,
gpu_ptr_kinds: Dict[str, PtrToPtrKind] | None = None,
)#

Set up the list of members based on the list of node attributes. These will usually be a subset, e.g. just the inputs, to keep the higher level access simple

Parameters:

  • context (GraphContext) – Evaluation context for these bundles

  • node (Node) – Owner of these bundles

  • attributes (list[Attribute]) – Subset of node attributes to check for being bundles

  • gpu_bundles (list[str]) – Subset of bundle attributes whose memory lives on the GPU

  • read_only (bool) – True if these attributes are read-only

  • gpu_ptr_kinds (dict[str, PtrToPtrKind]) – Attribute array pointer locations for GPU-based array attributes

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