Struct cudaLaunchAttributeID

#[repr(transparent)]
pub struct cudaLaunchAttributeID(pub c_uint);

Launch attributes enum; used as id field of ::cudaLaunchAttribute

Tuple Fields

0: c_uint

Implementations

impl cudaLaunchAttributeID

pub const cudaLaunchAttributeIgnore: cudaLaunchAttributeID

< Ignored entry, for convenient composition

impl cudaLaunchAttributeID

pub const cudaLaunchAttributeAccessPolicyWindow: cudaLaunchAttributeID

< Valid for streams, graph nodes, launches. See ::cudaLaunchAttributeValue::accessPolicyWindow.

impl cudaLaunchAttributeID

pub const cudaLaunchAttributeCooperative: cudaLaunchAttributeID

< Valid for graph nodes, launches. See ::cudaLaunchAttributeValue::cooperative.

impl cudaLaunchAttributeID

pub const cudaLaunchAttributeSynchronizationPolicy: cudaLaunchAttributeID

< Valid for streams. See ::cudaLaunchAttributeValue::syncPolicy.

impl cudaLaunchAttributeID

pub const cudaLaunchAttributeClusterDimension: cudaLaunchAttributeID

< Valid for graph nodes, launches. See ::cudaLaunchAttributeValue::clusterDim.

impl cudaLaunchAttributeID

pub const cudaLaunchAttributeClusterSchedulingPolicyPreference: cudaLaunchAttributeID

< Valid for graph nodes, launches. See ::cudaLaunchAttributeValue::clusterSchedulingPolicyPreference.

impl cudaLaunchAttributeID

pub const cudaLaunchAttributeProgrammaticStreamSerialization: cudaLaunchAttributeID

< Valid for launches. Setting ::cudaLaunchAttributeValue::programmaticStreamSerializationAllowed to non-0 signals that the kernel will use programmatic means to resolve its stream dependency, so that the CUDA runtime should opportunistically allow the grid’s execution to overlap with the previous kernel in the stream, if that kernel requests the overlap. The dependent launches can choose to wait on the dependency using the programmatic sync (cudaGridDependencySynchronize() or equivalent PTX instructions).

impl cudaLaunchAttributeID

pub const cudaLaunchAttributeProgrammaticEvent: cudaLaunchAttributeID

< Valid for launches. Set ::cudaLaunchAttributeValue::programmaticEvent to record the event. Event recorded through this launch attribute is guaranteed to only trigger after all block in the associated kernel trigger the event. A block can trigger the event programmatically in a future CUDA release. A trigger can also be inserted at the beginning of each block’s execution if triggerAtBlockStart is set to non-0. The dependent launches can choose to wait on the dependency using the programmatic sync (cudaGridDependencySynchronize() or equivalent PTX instructions). Note that dependents (including the CPU thread calling cudaEventSynchronize()) are not guaranteed to observe the release precisely when it is released. For example, cudaEventSynchronize() may only observe the event trigger long after the associated kernel has completed. This recording type is primarily meant for establishing programmatic dependency between device tasks. Note also this type of dependency allows, but does not guarantee, concurrent execution of tasks.
The event supplied must not be an interprocess or interop event. The event must disable timing (i.e. must be created with the ::cudaEventDisableTiming flag set).

impl cudaLaunchAttributeID

pub const cudaLaunchAttributePriority: cudaLaunchAttributeID

< Valid for streams, graph nodes, launches. See ::cudaLaunchAttributeValue::priority.

impl cudaLaunchAttributeID

pub const cudaLaunchAttributeMemSyncDomainMap: cudaLaunchAttributeID

< Valid for streams, graph nodes, launches. See ::cudaLaunchAttributeValue::memSyncDomainMap.

impl cudaLaunchAttributeID

pub const cudaLaunchAttributeMemSyncDomain: cudaLaunchAttributeID

< Valid for streams, graph nodes, launches. See ::cudaLaunchAttributeValue::memSyncDomain.

impl cudaLaunchAttributeID

pub const cudaLaunchAttributeLaunchCompletionEvent: cudaLaunchAttributeID

< Valid for launches. Set ::cudaLaunchAttributeValue::launchCompletionEvent to record the event.
Nominally, the event is triggered once all blocks of the kernel have begun execution. Currently this is a best effort. If a kernel B has a launch completion dependency on a kernel A, B may wait until A is complete. Alternatively, blocks of B may begin before all blocks of A have begun, for example if B can claim execution resources unavailable to A (e.g. they run on different GPUs) or if B is a higher priority than A. Exercise caution if such an ordering inversion could lead to deadlock.
A launch completion event is nominally similar to a programmatic event with \c triggerAtBlockStart set except that it is not visible to \c cudaGridDependencySynchronize() and can be used with compute capability less than 9.0.
The event supplied must not be an interprocess or interop event. The event must disable timing (i.e. must be created with the ::cudaEventDisableTiming flag set).

impl cudaLaunchAttributeID

pub const cudaLaunchAttributeDeviceUpdatableKernelNode: cudaLaunchAttributeID

< Valid for graph nodes, launches. This attribute is graphs-only, and passing it to a launch in a non-capturing stream will result in an error.
:cudaLaunchAttributeValue::deviceUpdatableKernelNode::deviceUpdatable can only be set to 0 or 1. Setting the field to 1 indicates that the corresponding kernel node should be device-updatable. On success, a handle will be returned via ::cudaLaunchAttributeValue::deviceUpdatableKernelNode::devNode which can be passed to the various device-side update functions to update the node’s kernel parameters from within another kernel. For more information on the types of device updates that can be made, as well as the relevant limitations thereof, see ::cudaGraphKernelNodeUpdatesApply.
Nodes which are device-updatable have additional restrictions compared to regular kernel nodes. Firstly, device-updatable nodes cannot be removed from their graph via ::cudaGraphDestroyNode. Additionally, once opted-in to this functionality, a node cannot opt out, and any attempt to set the deviceUpdatable attribute to 0 will result in an error. Device-updatable kernel nodes also cannot have their attributes copied to/from another kernel node via ::cudaGraphKernelNodeCopyAttributes. Graphs containing one or more device-updatable nodes also do not allow multiple instantiation, and neither the graph nor its instantiated version can be passed to ::cudaGraphExecUpdate.
If a graph contains device-updatable nodes and updates those nodes from the device from within the graph, the graph must be uploaded with ::cuGraphUpload before it is launched. For such a graph, if host-side executable graph updates are made to the device-updatable nodes, the graph must be uploaded before it is launched again.

impl cudaLaunchAttributeID

pub const cudaLaunchAttributePreferredSharedMemoryCarveout: cudaLaunchAttributeID

< Valid for launches. On devices where the L1 cache and shared memory use the same hardware resources, setting ::cudaLaunchAttributeValue::sharedMemCarveout to a percentage between 0-100 signals sets the shared memory carveout preference in percent of the total shared memory for that kernel launch. This attribute takes precedence over ::cudaFuncAttributePreferredSharedMemoryCarveout. This is only a hint, and the driver can choose a different configuration if required for the launch.

Trait Implementations

impl Clone for cudaLaunchAttributeID

fn clone(&self) -> cudaLaunchAttributeID

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for cudaLaunchAttributeID

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Hash for cudaLaunchAttributeID

fn hash<__H: Hasher>(&self, state: &mut __H)

Feeds this value into the given Hasher.

fn hash_slice<H>(data: &[Self], state: &mut H)

where H: Hasher, Self: Sized,

Feeds a slice of this type into the given Hasher.

impl PartialEq for cudaLaunchAttributeID

fn eq(&self, other: &cudaLaunchAttributeID) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Copy for cudaLaunchAttributeID

impl Eq for cudaLaunchAttributeID

impl StructuralPartialEq for cudaLaunchAttributeID