batuta/pipeline/stages/
optimization.rs

1//! Optimization stage - applies performance optimizations using MoE routing.
2
3use anyhow::Result;
4
5#[cfg(feature = "native")]
6use tracing::info;
7
8// Stub macros for WASM build
9#[cfg(not(feature = "native"))]
10macro_rules! info {
11    ($($arg:tt)*) => {{}};
12}
13
14use crate::pipeline::types::{PipelineContext, PipelineStage};
15
16/// Optimization stage - applies performance optimizations using MoE routing
17pub struct OptimizationStage {
18    pub(crate) enable_gpu: bool,
19    pub(crate) enable_simd: bool,
20    pub(crate) gpu_threshold: usize,
21    pub(crate) backend_selector: crate::backend::BackendSelector,
22}
23
24impl OptimizationStage {
25    pub fn new(enable_gpu: bool, enable_simd: bool, gpu_threshold: usize) -> Self {
26        Self {
27            enable_gpu,
28            enable_simd,
29            gpu_threshold,
30            backend_selector: crate::backend::BackendSelector::new(),
31        }
32    }
33
34    /// Analyze code and recommend backend optimizations using MoE
35    pub fn analyze_optimizations(&self) -> Vec<String> {
36        contract_pre_analyze!(self);
37        use crate::backend::OpComplexity;
38
39        let mut recommendations = Vec::new();
40
41        // Example workload analysis - in practice this would analyze the actual code
42        let workloads = vec![
43            ("Element-wise operations", OpComplexity::Low, 1_000_000),
44            ("Vector reductions", OpComplexity::Medium, 50_000),
45            ("Matrix multiplications", OpComplexity::High, 100_000),
46        ];
47
48        for (name, complexity, size) in workloads {
49            let backend = self.backend_selector.select_with_moe(complexity, size);
50            recommendations
51                .push(format!("{}: {} backend recommended ({} elements)", name, backend, size));
52        }
53
54        recommendations
55    }
56}
57
58#[async_trait::async_trait]
59impl PipelineStage for OptimizationStage {
60    fn name(&self) -> &'static str {
61        "Optimization"
62    }
63
64    async fn execute(&self, mut ctx: PipelineContext) -> Result<PipelineContext> {
65        info!(
66            "Applying optimizations using MoE routing (GPU: {}, SIMD: {})",
67            self.enable_gpu, self.enable_simd
68        );
69
70        // Use MoE to analyze and recommend backend optimizations
71        let moe_recommendations = self.analyze_optimizations();
72
73        info!("MoE backend recommendations:");
74        for rec in &moe_recommendations {
75            info!("  - {}", rec);
76        }
77
78        // Apply traditional optimizations
79        if self.enable_simd {
80            ctx.optimizations.push("SIMD vectorization enabled".to_string());
81        }
82
83        if self.enable_gpu {
84            ctx.optimizations
85                .push(format!("GPU dispatch enabled (threshold: {})", self.gpu_threshold));
86        }
87
88        // Add MoE recommendations
89        ctx.optimizations.extend(moe_recommendations);
90
91        // Store optimization strategy in metadata
92        ctx.metadata
93            .insert("optimizations_applied".to_string(), serde_json::json!(ctx.optimizations));
94
95        ctx.metadata.insert("moe_routing_enabled".to_string(), serde_json::json!(true));
96
97        Ok(ctx)
98    }
99}
batuta/pipeline/stages/optimization.rs

batuta/pipeline/stages/
optimization.rs
