pub struct Cuda {
pub graphs: bool,
pub busy_wait_events: bool,
pub graph_spec: Vec<GraphSpec>,
pub output_copy_stream: bool,
}Expand description
@@ @@ .. cpp:var:: message Cuda @@ @@ CUDA-specific optimization settings. @@
Fields§
§graphs: bool@@ .. cpp:var:: bool graphs @@ @@ Use CUDA graphs API to capture model operations and execute @@ them more efficiently. Default value is false. @@ Currently only recognized by TensorRT backend. @@
busy_wait_events: bool@@ .. cpp:var:: bool busy_wait_events @@ @@ Use busy-waiting to synchronize CUDA events to achieve minimum @@ latency from event complete to host thread to be notified, with @@ the cost of high CPU load. Default value is false. @@ Currently only recognized by TensorRT backend. @@
graph_spec: Vec<GraphSpec>@@ .. cpp:var:: GraphSpec graph_spec (repeated) @@ @@ Specification of the CUDA graph to be captured. If not specified @@ and ‘graphs’ is true, the default CUDA graphs will be captured @@ based on model settings. @@ Currently only recognized by TensorRT backend. @@
output_copy_stream: bool@@ .. cpp:var:: bool output_copy_stream @@ @@ Uses a CUDA stream separate from the inference stream to copy the @@ output to host. However, be aware that setting this option to @@ true will lead to an increase in the memory consumption of the @@ model as Triton will allocate twice as much GPU memory for its @@ I/O tensor buffers. Default value is false. @@ Currently only recognized by TensorRT backend. @@
Trait Implementations§
Source§impl Message for Cuda
impl Message for Cuda
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self.impl StructuralPartialEq for Cuda
Auto Trait Implementations§
impl Freeze for Cuda
impl RefUnwindSafe for Cuda
impl Send for Cuda
impl Sync for Cuda
impl Unpin for Cuda
impl UnwindSafe for Cuda
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