Module memory_profiler 

Memory profiling utilities for tracking allocations and memory usage.

This module provides tools for:

• Tracking heap allocations
• Monitoring shared memory usage
• Detecting potential memory leaks
• Measuring peak memory consumption

Examples

use ipfrs_tensorlogic::MemoryProfiler;

let profiler = MemoryProfiler::new();

{
    let _guard = profiler.start_tracking("my_operation");
    // Your operation here
    let data = vec![0u8; 1024 * 1024]; // 1 MB allocation
    drop(data);
}

let stats = profiler.get_stats("my_operation").unwrap();
println!("Peak memory: {} bytes", stats.peak_bytes);

Structs

MemoryProfiler

Memory profiler for tracking allocations and usage

MemoryProfilingReport

A comprehensive memory profiling report

MemoryStats

Memory usage statistics for a tracked operation

MemoryTrackingGuard

A guard that tracks memory usage for the duration of its lifetime