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refactor(tinytorch): update test files and READMEs for module renumbering

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- Update MODULE_DEPENDENCIES in test files for new ordering
- Rename test_module_05_autograd.py to test_module_06_autograd.py
- Update tinytorch/README.md with correct module structure
- Foundation tier now 01-08, Architecture tier 09-13
This commit is contained in:
Vijay Janapa Reddi
2025-12-18 13:14:50 -05:00
parent 365bfc616d
commit 86b437db2a
4 changed files with 21 additions and 21 deletions
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12
tinytorch/README.md
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@@ -102,8 +102,8 @@ Build your framework through four progressive parts:
| Part | Modules | What You Build |
|------|---------|----------------|
| **I. Foundations** | 01-07 | Tensors, activations, layers, losses, autograd, optimizers, training |
| **II. Vision** | 08-09 | DataLoaders, Conv2d, CNNs for image classification |
| **I. Foundations** | 01-08 | Tensors, activations, layers, losses, dataloader, autograd, optimizers, training |
| **II. Vision** | 09 | Conv2d, CNNs for image classification |
| **III. Language** | 10-13 | Tokenization, embeddings, attention, transformers |
| **IV. Optimization** | 14-20 | Profiling, quantization, compression, acceleration, benchmarking, capstone |
@@ -173,10 +173,10 @@ TinyTorch/
│ ├── 02_activations/ # Module 02: ReLU, Softmax activations
│ ├── 03_layers/ # Module 03: Linear layers, Module system
│ ├── 04_losses/ # Module 04: MSE, CrossEntropy losses
│ ├── 05_autograd/ # Module 05: Automatic differentiation
│ ├── 06_optimizers/ # Module 06: SGD, Adam optimizers
│ ├── 07_training/ # Module 07: Complete training loops
│ ├── 08_dataloader/ # Module 08: Efficient data pipelines
│ ├── 05_dataloader/ # Module 05: Efficient data pipelines
│ ├── 06_autograd/ # Module 06: Automatic differentiation
│ ├── 07_optimizers/ # Module 07: SGD, Adam optimizers
│ ├── 08_training/ # Module 08: Complete training loops
│ ├── 09_convolutions/ # Module 09: Conv2d, MaxPool2d, CNNs
│ ├── 10_tokenization/ # Module 10: Text processing
│ ├── 11_embeddings/ # Module 11: Token & positional embeddings