cuda::experimental::stf::slice_graph_interface#
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template<typename T, size_t dimensions = 1>
class slice_graph_interface : public cuda::experimental::stf::graph_data_interface<slice<T, 1>># Slice data interface implementation over CUDA graphs.
The type manipulated will be
slice<T, dimensions>
.- Template Parameters:
T – Element type for the slice
dimensions – rank of the slice
Public Types
-
using base = graph_data_interface<slice<T, dimensions>>#
Alias for the base class.
Public Functions
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inline slice_graph_interface(slice<T, dimensions> s)#
Constructor from slice.
- Parameters:
s – either a slice or the shape of a slice
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inline slice_graph_interface(shape_of<slice<T, dimensions>> s)#
Constructor from shape.
- Parameters:
s – either a slice or the shape of a slice
- inline virtual void data_allocate(
- backend_ctx_untyped &bctx,
- block_allocator_untyped &custom_allocator,
- const data_place &memory_node,
- instance_id_t instance_id,
- ::std::ptrdiff_t &s,
- void **extra_args,
- event_list &prereqs,
Implementation of interface primitive.
- inline virtual void data_deallocate(
- backend_ctx_untyped &bctx,
- block_allocator_untyped &custom_allocator,
- const data_place &memory_node,
- instance_id_t instance_id,
- void *extra_args,
- event_list &prereqs,
Implementation of interface primitive.
- inline virtual cudaGraphNode_t graph_data_copy(
- cudaMemcpyKind kind,
- instance_id_t src_instance_id,
- instance_id_t dst_instance_id,
- cudaGraph_t graph,
- const cudaGraphNode_t *input_nodes,
- size_t input_cnt,
Implementation of interface primitive.
- inline virtual bool pin_host_memory(
- instance_id_t instance_id,
Implementation of interface primitive.
-
inline virtual void unpin_host_memory(instance_id_t) override#
Implementation of interface primitive.
- inline virtual void data_copy(
- backend_ctx_untyped &ctx_,
- const data_place &dst_memory_node,
- instance_id_t dst_instance_id,
- const data_place &src_memory_node,
- instance_id_t src_instance_id,
- event_list &prereqs,
Copy data from one memory node to another, returning a prerequisite event list.
- Parameters:
ctx – Backend context state
dst_memory_node – The destination memory node
dst_instance_id – The destination instance ID
src_memory_node – The source memory node
src_instance_id – The source instance ID
arg – Additional arguments required for copying data
prereqs – Prerequisite event list, will be updated as a side effect
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template<typename T>
inline const T &shape() const# Get the part of the data interface that is common to all data instances.
- Template Parameters:
T – The type of the data shape
- Returns:
A const reference to the data shape
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inline T &instance(instance_id_t instance_id)#
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inline const T &instance(instance_id_t instance_id) const#
- inline virtual size_t data_hash(
- instance_id_t instance_id,
Get the hash of the data representation for the given instance ID.
- Parameters:
instance_id – The ID of the data instance
- Returns:
The hash of the data representation
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inline size_t data_footprint() const final#
- inline ::std::optional<cudaMemoryType> get_memory_type( )#
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template<typename T>
inline const T &instance_const( - instance_id_t instance_id,
Get a const reference to the data instance of the given ID.
- Template Parameters:
T – The type of the data instance
- Parameters:
instance_id – The ID of the data instance
- Returns:
A const reference to the data instance
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template<typename backend_ctx_untyped>
inline instance_id_t get_default_instance_id( - backend_ctx_untyped&,
- const logical_data_untyped &d,
- task &tp,
Returns the index (ID) of the data instance for this logical data in the current task context.
If this is called outside a task, this will result in an error.
- Parameters:
ctx – The backend context state
d – The logical data_untyped
- Returns:
The ID of the data instance for this logical data
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inline virtual bool is_void_interface() const#
Indicates whether this is a void data interface, which permits to skip some operations to allocate or move data for example.