mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-05-07 12:42:52 -05:00
06ca2ee802
- Remove student-facing bloat (learning objectives, time estimates, pedagogical details) - Remove assessment sections (not needed for operational metadata) - Streamline to essential system information only: - Module identification and dependencies - Package export configuration - File structure and component listings - Updated existing files (6): setup, tensor, activations, layers, autograd, optimizers - Created missing files (3): networks, cnn, dataloader - Consistent 25-26 line format across all 9 modules Result: Pure operational metadata for CLI tools and build systems Perfect for instructor/staff development workflow
27 lines
728 B
YAML
27 lines
728 B
YAML
# TinyTorch Module Metadata
|
|
# Essential system information for CLI tools and build systems
|
|
|
|
name: "optimizers"
|
|
title: "Optimizers"
|
|
description: "Gradient-based parameter optimization algorithms"
|
|
|
|
# Dependencies - Used by CLI for module ordering and prerequisites
|
|
dependencies:
|
|
prerequisites: ["setup", "tensor", "autograd"]
|
|
enables: ["training", "compression", "mlops"]
|
|
|
|
# Package Export - What gets built into tinytorch package
|
|
exports_to: "tinytorch.core.optimizers"
|
|
|
|
# File Structure - What files exist in this module
|
|
files:
|
|
dev_file: "optimizers_dev.py"
|
|
readme: "README.md"
|
|
tests: "inline"
|
|
|
|
# Components - What's implemented in this module
|
|
components:
|
|
- "SGD"
|
|
- "Adam"
|
|
- "StepLR"
|
|
- "gradient_descent_step" |