# TinyTorch Module Metadata
# Essential system information for CLI tools and build systems

name: "12_benchmarking"
title: "Benchmarking - Systematic ML Performance Evaluation"
description: "Industry-standard benchmarking methodology for ML systems, inspired by MLPerf patterns"

# Dependencies - Used by CLI for module ordering and prerequisites
dependencies:
  prerequisites: [
    "00_setup", "01_tensor", "02_activations", "03_layers", 
    "04_networks", "05_cnn", "06_dataloader", "07_autograd", 
    "08_optimizers", "09_training", "10_compression", "11_kernels"
  ]
  enables: ["13_mlops"]

# Package Export - What gets built into tinytorch package
exports_to: "tinytorch.core.benchmarking"

# File Structure - What files exist in this module
files:
  dev_file: "benchmarking_dev.py"
  readme: "README.md"
  tests: "inline"

# Educational Metadata
difficulty: "⭐⭐⭐⭐"
time_estimate: "4-5 hours"

# Components - What's implemented in this module
components:
  - "TinyTorchPerf"
  - "BenchmarkScenarios"
  - "StatisticalValidator"
  - "ResultsAnalyzer"
  - "PerformanceReporter" 