github-starred/TinyTorch
2
0
Fork 0
mirror of https://github.com/MLSysBook/TinyTorch.git synced 2026-06-03 13:05:50 -05:00
Code Issues 7 Packages Projects Releases Wiki Activity

Update project status: Module 17 Quantization complete

Browse Source 
Progress: 16/19 modules complete (84%)
This commit is contained in:
Vijay Janapa Reddi
2025-11-06 15:51:58 -05:00
parent e7b1337139
commit 190dd29858
1 changed files with 11 additions and 10 deletions
Download Patch File Download Diff File Expand all files Collapse all files

21
PROJECT_STATUS.md
View File

@@ -11,18 +11,19 @@ TinyTorch is a comprehensive educational ML framework designed for a Machine Lea
### Current Status: **Core Complete, Optimization Modules In Progress**
- **15/19 modules** fully implemented and exported ✅
- **16/19 modules** fully implemented and exported ✅
- **All 5 historical milestones** functional and tested ✅
- **Transformer module** with complete gradient flow ✅
- **KV Caching module** with 10-15x speedup ✅
- **Profiling module** with scientific performance measurement ✅ NEW!
- **4 advanced modules** ready for implementation (16-19)
- **Profiling module** with scientific performance measurement ✅
- **Quantization module** with INT8 compression ✅ NEW!
- **3 advanced modules** ready for implementation (16, 18-19)
---
## 📊 Module Implementation Status
### ✅ Fully Implemented (Modules 01-15)
### ✅ Fully Implemented (Modules 01-17)
These modules are complete, tested, and exported to `tinytorch/`:
@@ -43,19 +44,19 @@ These modules are complete, tested, and exported to `tinytorch/`:
| 13 | **Transformers** | `tinytorch/models/transformer.py` | ✅ Complete | 1,726 |
| 14 | **KV Caching** | `tinytorch/generation/kv_cache.py` | ✅ Complete | 805 |
| 15 | **Profiling** | `tinytorch/profiling/profiler.py` | ✅ Complete | 155 |
| 17 | **Quantization** | `tinytorch/optimization/quantization.py` | ✅ Complete | 289 |
**Total:** 18,410+ lines of educational ML code (including tests)
**Total:** 18,699+ lines of educational ML code (including tests)
### 🔧 Ready for Implementation (Modules 16-19)
### 🔧 Ready for Implementation (Modules 16, 18-19)
These modules have source files created but need export:
| Module | Name | Purpose | Priority |
|--------|------|---------|----------|
| 16 | **Acceleration** | Optimization techniques | 🔴 High |
| 17 | **Quantization** | Model compression (INT8/FP16) | 🟡 Medium |
| 18 | **Compression** | Pruning and distillation | 🟢 Low |
| 19 | **Benchmarking** | Fair performance comparison | 🟢 Low |
| 16 | **Acceleration** | Vectorization and fusion | 🔴 High |
| 18 | **Compression** | Pruning and distillation | 🟡 Medium |
| 19 | **Benchmarking** | Fair performance comparison | 🟡 Medium |
### 📚 Capstone (Module 20)