Optimization

Module: benchmarks.performance.optimization

Source: benchmarks/performance/optimization.py

Overview

Optimization benchmark for generative models.

This module provides benchmarks for evaluating the training performance and optimization strategies for generative models, measuring convergence rates, loss curves, and training efficiency.

Classes

OptimizationBenchmark

class OptimizationBenchmark

OptimizationMetricsConfig

class OptimizationMetricsConfig

OptimizerComparisonBenchmark

class OptimizerComparisonBenchmark

TrainerProtocol

class TrainerProtocol

TrainingConvergenceBenchmark

class TrainingConvergenceBenchmark

TrainingCurvePoint

class TrainingCurvePoint

Functions

init

def __init__()

init

def __init__()

init

def __init__()

evaluate

def evaluate()

init

def init()

run

def run()

run

def run()

train_step

def train_step()

Module Statistics

• Classes: 6
• Functions: 8
• Imports: 7