laddu_runtime/
lib.rs

1//! Execution backends, dataset queries, and reduction support for compiled laddu models.
2
3mod backend;
4mod cpu;
5mod error;
6mod execution;
7#[cfg(feature = "jit")]
8mod jit;
9mod normalization;
10mod preparation;
11mod query;
12
13pub use backend::{PreparedDataset, PreparedModel};
14pub use cpu::*;
15pub use error::{ExecutionError, RuntimeError, RuntimeResult};
16pub use execution::{
17    CpuOptions, Device, Execution, ExecutionOptions, GpuBackend, GpuDeviceSelector, GpuOptions,
18    JitPolicy, NormalizationMode, Precision, ThreadPolicy,
19};
20pub use laddu_memory::{
21    CapacitySource, DeviceIdentity, MemoryBudget, MemoryDecision, MemoryError, MemoryLease,
22    MemoryPlan, MemoryPool, MemoryPoolReport, MemoryReport, MemoryResource, MemoryResourceKind,
23    MemoryState, ProcessMemoryReport,
24};
25pub use normalization::{PreparedNormalization, PreparedNormalizationDiagnostics};
26pub use query::{BinSpec, Comparison, DatasetBin, DatasetExprExt, IntervalClosure, Predicate};
27
28use laddu_compile::CompiledModel;
29use laddu_expr::ExprNode;
30
31pub(crate) fn required_event_scalars(model: &CompiledModel) -> Vec<String> {
32    let mut required = Vec::new();
33    for node in model.graph().nodes() {
34        if let ExprNode::EventScalar(name) = node
35            && !required.iter().any(|required| required == name.as_ref())
36        {
37            required.push(name.to_string());
38        }
39    }
40    required
41}
laddu_runtime/lib.rs

laddu_runtime/
lib.rs
