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TinyTorch/modules/source
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Vijay Janapa Reddi 976f0ed278 feat(memoization): Add profiling motivation section 
- Shows O(n²) latency growth in transformer generation
- Demonstrates problem before teaching solution
- Prepares module for reorganization to Module 15
2025-11-09 09:16:08 -05:00
..
01_tensor
…
02_activations
…
03_layers
…
04_losses
…
05_autograd
Merge transformer-training into dev
2025-10-30 17:48:11 -04:00
06_optimizers
…
07_training
feat(autograd): Fix gradient flow through all transformer components
2025-10-30 10:20:33 -04:00
08_dataloader
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09_spatial
…
10_tokenization
Merge transformer-training into dev
2025-10-30 17:48:11 -04:00
11_embeddings
feat: Add PyTorch-style __call__ methods and update milestone syntax
2025-10-28 13:46:05 -04:00
12_attention
feat(autograd): Fix gradient flow through all transformer components
2025-10-30 10:20:33 -04:00
13_transformers
Merge transformer-training into dev
2025-10-30 17:48:11 -04:00
14_kvcaching
feat(memoization): Add profiling motivation section
2025-11-09 09:16:08 -05:00
15_profiling
feat(profiler): Add helper functions for optimization modules
2025-11-09 09:15:13 -05:00
16_acceleration
Rename ProfilerComplete to Profiler for cleaner API
2025-11-06 20:35:21 -05:00
17_quantization
Add Profiler demo to Module 17 Quantization
2025-11-06 20:38:44 -05:00
18_compression
Add Profiler demo to Module 18 Compression
2025-11-06 20:38:50 -05:00
19_benchmarking
Add normalized scoring and MLPerf principles to Module 19
2025-11-07 20:04:46 -05:00
20_capstone
Implement MLPerf Edu Competition module (Module 20)
2025-11-07 20:04:57 -05:00
20_competition
Implement MLPerf Edu Competition module (Module 20)
2025-11-07 20:04:57 -05:00