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Update project status: Module 15 Profiling complete
Progress: 15/19 modules complete (79%)
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@@ -11,17 +11,18 @@ TinyTorch is a comprehensive educational ML framework designed for a Machine Lea
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### Current Status: **Core Complete, Optimization Modules In Progress**
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- **14/19 modules** fully implemented and exported ✅
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- **15/19 modules** fully implemented and exported ✅
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- **All 5 historical milestones** functional and tested ✅
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- **Transformer module** with complete gradient flow ✅
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- **KV Caching module** with 10-15x speedup ✅ NEW!
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- **5 advanced modules** ready for implementation (15-19)
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- **KV Caching module** with 10-15x speedup ✅
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- **Profiling module** with scientific performance measurement ✅ NEW!
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- **4 advanced modules** ready for implementation (16-19)
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---
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## 📊 Module Implementation Status
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### ✅ Fully Implemented (Modules 01-13)
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### ✅ Fully Implemented (Modules 01-15)
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These modules are complete, tested, and exported to `tinytorch/`:
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@@ -41,17 +42,17 @@ These modules are complete, tested, and exported to `tinytorch/`:
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| 12 | **Attention** | `tinytorch/core/attention.py` | ✅ Complete | 1,142 |
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| 13 | **Transformers** | `tinytorch/models/transformer.py` | ✅ Complete | 1,726 |
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| 14 | **KV Caching** | `tinytorch/generation/kv_cache.py` | ✅ Complete | 805 |
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| 15 | **Profiling** | `tinytorch/profiling/profiler.py` | ✅ Complete | 155 |
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**Total:** 18,255+ lines of educational ML code (including tests)
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**Total:** 18,410+ lines of educational ML code (including tests)
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### 🔧 Ready for Implementation (Modules 15-19)
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### 🔧 Ready for Implementation (Modules 16-19)
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These modules have source files created but need export:
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| Module | Name | Purpose | Priority |
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|--------|------|---------|----------|
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| 15 | **Profiling** | Performance measurement tools | 🔴 High |
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| 16 | **Acceleration** | Optimization techniques | 🟡 Medium |
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| 16 | **Acceleration** | Optimization techniques | 🔴 High |
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| 17 | **Quantization** | Model compression (INT8/FP16) | 🟡 Medium |
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| 18 | **Compression** | Pruning and distillation | 🟢 Low |
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| 19 | **Benchmarking** | Fair performance comparison | 🟢 Low |
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