cuda::experimental::graph_builder_ref
Defined in include/cuda/experimental/__graph/graph_builder_ref.cuh
-
struct graph_builder_ref
An owning wrapper type for a cudaGraph_t handle.
The
graph_builder
class provides a high-level interface for creating, managing, and manipulating CUDA graphs. It ensures proper resource management and simplifies the process of working with CUDA graph APIs.Features:
Supports construction, destruction, and copying of CUDA graphs.
Provides methods for adding nodes and dependencies to the graph.
Allows instantiation of the graph into an executable form.
Ensures proper cleanup of CUDA resources.
Usage:
Create an instance of
graph_builder
to represent a CUDA graph.Use the
add
methods to add nodes and dependencies to the graph.Instantiate the graph using the
instantiate
method to obtain an executable graph.Use the
reset
method to release resources when the graph is no longer needed.
Thread Safety:
This class is not thread-safe. Concurrent access to the same
graph_builer
object must be synchronized externally.
Exception Safety:
Methods that interact with CUDA APIs may throw
cuda::std::cuda_error
if the underlying CUDA operation fails.Move operations leave the source object in a valid but unspecified state.
Subclassed by cuda::experimental::graph_builder
Public Functions
-
inline constexpr graph_builder_ref(cudaGraph_t __graph, device_ref __dev) noexcept
Constructs a new, empty CUDA graph.
- Parameters
__dev – The device on which graph nodes will execute.
- Throws
cuda::std::cuda_error – if
cudaGraphCreate
fails.
-
inline explicit constexpr operator bool() const noexcept
Checks if the graph handle is valid.
This operator allows the graph builder to be used in a boolean context to determine if it is valid. A valid graph builder is one where the internal node pointer is not
nullptr
.- Returns
true
if the internal node pointer is notnullptr
, otherwisefalse
.
-
inline constexpr auto operator!() const noexcept -> bool
Checks if the graph is not null.
- Returns
true
if the internal graph handle is null, otherwisefalse
.
-
inline constexpr void swap(graph_builder_ref &__other) noexcept
Swaps the contents of this
graph_builder
with another.- Parameters
__other – The
graph_builder
object to swap with.- Throws
None –
-
inline constexpr auto get() const noexcept -> cudaGraph_t
Retrieves the underlying CUDA graph object.
- Throws
None –
- Returns
The
cudaGraph_t
handle.
-
inline constexpr auto get_device() const noexcept -> device_ref
Retrieves the device on which the graph is built.
- Returns
The device on which the graph is built.
-
template<class _Node>
inline constexpr auto add(_Node __node) -> graph_node_ref Adds a new root node to the graph.
- Template Parameters
_Node – The type of the node to add.
- Parameters
__node – The descriptor of the node to add to the graph.
- Throws
cuda::std::cuda_error – if adding the node fails.
- Returns
A
graph_node_ref
representing the added node. The graph object owns the new node.
-
template<class _Node, size_t _Np>
inline constexpr auto add(_Node __node, cuda::std::array<cudaGraphNode_t, _Np> __deps) -> graph_node_ref Adds a new node to the graph with specified dependencies.
This function creates a new node in the graph and establishes dependencies between the newly created node and the provided dependency nodes.
The function first creates a new node in the graph using the provided
_Node
object.It initializes an array of “dependant” nodes, where all dependant nodes correspond to the newly created node.
The function then uses the CUDA API
cudaGraphAddDependencies
to establish the dependencies between the newly created node and the nodes provided in the__deps
span.If the number of dependencies is small, a stack-allocated buffer is used; otherwise, a dynamically allocated array is used to store the dependant nodes.
- Template Parameters
_Node – The type of the node to be added.
_Extent – The extent of the span representing the dependencies.
- Parameters
__node – The descriptor of the node to be added to the graph.
__deps – An array of
cudaGraphNode_t
handles representing the dependencies of the new node. Each node in this span will become a dependency of the newly created node.
- Throws
cuda::std::cuda_error – If the CUDA API call
cudaGraphAddDependencies
fails.- Returns
A
graph_node_ref
object representing the newly created node in the graph. The graph object owns the new node.
-
template<class _Node, size_t _Extent>
inline constexpr auto add(_Node __node, cuda::std::span<cudaGraphNode_t, _Extent> __deps) -> graph_node_ref This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
Friends
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inline friend bool operator==(const graph_builder_ref &__lhs, const graph_builder_ref &__rhs) noexcept
Compares two
graph_builder
objects for equality.- Parameters
__lhs – The left-hand side
graph_builder
object to compare.__rhs – The right-hand side
graph_builder
object to compare.
- Returns
true
if bothgraph_builder
objects are equal,false
otherwise.
-
inline friend bool operator!=(const graph_builder_ref &__lhs, const graph_builder_ref &__rhs) noexcept
Compares two
graph_builder
objects for inequality.- Parameters
__lhs – The left-hand side
graph_builder
object to compare.__rhs – The right-hand side
graph_builder
object to compare.
- Returns
true
if bothgraph_builder
objects are not equal,false
otherwise.
-
inline friend bool operator==(cuda::std::nullptr_t, const graph_builder_ref &__rhs) noexcept
Test whether a
graph_builder
object is null.- Returns
true
if__rhs
is null,false
otherwise.
-
inline friend bool operator==(const graph_builder_ref &__lhs, cuda::std::nullptr_t) noexcept
Test whether a
graph_builder
object is null.- Returns
true
if__rhs
is null,false
otherwise.
-
inline friend bool operator!=(cuda::std::nullptr_t, const graph_builder_ref &__rhs) noexcept
Test whether a
graph_builder
object is not null.- Returns
true
if__rhs
is not null,false
otherwise.
-
inline friend bool operator!=(const graph_builder_ref &__lhs, cuda::std::nullptr_t) noexcept
Test whether a
graph_builder
object is not null.- Returns
true
if__lhs
is not null,false
otherwise.