Module profiling 

Compilation profiling and performance tracking.

This module provides tools for profiling the compilation process, tracking performance metrics, and identifying bottlenecks.

Overview

Compilation profiling helps developers:

• Identify slow compilation passes
• Track memory usage during compilation
• Optimize compilation performance
• Compare different compilation strategies

Features

• Time Tracking: Measure time spent in each compilation phase
• Memory Tracking: Monitor memory allocations and peak usage
• Pass Analysis: Identify expensive optimization passes
• Cache Statistics: Track cache hit rates and effectiveness

Examples

use tensorlogic_compiler::profiling::{CompilationProfiler, ProfileConfig};
use tensorlogic_compiler::compile_to_einsum;
use tensorlogic_ir::{TLExpr, Term};

let mut profiler = CompilationProfiler::new();
profiler.start_phase("compilation");

let expr = TLExpr::pred("p", vec![Term::var("x")]);
let _graph = compile_to_einsum(&expr).unwrap();

profiler.end_phase("compilation");

let report = profiler.generate_report();
println!("{}", report);

Structs

CacheStats

Cache statistics.

CompilationProfiler

Main compilation profiler.

MemorySnapshot

Memory usage snapshot.

PassProfile

Pass-level profiling information.

PhaseTime

Time spent in a compilation phase.

ProfileConfig

Configuration for compilation profiling.