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DataLoadingMemoryBench

torsh_benches::benchmarks::data_loading

Struct DataLoadingMemoryBench

pub struct DataLoadingMemoryBench;

Expand description

Memory usage during data loading benchmarks

Monitors memory consumption patterns during data loading operations to identify memory leaks or excessive memory usage.

Implementations§

impl DataLoadingMemoryBench

pub fn calculate_memory_efficiency( &self, stats: &MemoryUsageStats, theoretical_memory: usize, ) -> f64

Calculate memory efficiency metrics

pub fn generate_memory_stats( &self, batches_processed: usize, ) -> MemoryUsageStats

Generate detailed memory usage statistics

Trait Implementations§

impl Benchmarkable for DataLoadingMemoryBench

type Input = TensorDataset

type Output = usize

fn setup(&mut self, size: usize) -> Self::Input

Setup the benchmark input for a given size

fn run(&mut self, input: &Self::Input) -> Self::Output

Run the benchmark operation on the input

fn bytes_accessed(&self, _size: usize) -> usize

Calculate the number of bytes accessed for a given size

fn flops(&self, size: usize) -> usize

Calculate the number of floating-point operations for a given size

Auto Trait Implementations§

impl Freeze for DataLoadingMemoryBench

impl RefUnwindSafe for DataLoadingMemoryBench

impl Send for DataLoadingMemoryBench

impl Sync for DataLoadingMemoryBench

impl Unpin for DataLoadingMemoryBench

impl UnsafeUnpin for DataLoadingMemoryBench

impl UnwindSafe for DataLoadingMemoryBench

Blanket Implementations§

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