Add missing markdown documentation to 08_dataloader module

- Add documentation for test_unit_dataset_interface function
- Add documentation for test_unit_dataloader function
- Add documentation for test_unit_simple_dataset function
- Add documentation for test_unit_dataloader_pipeline function
- Ensures every code function has preceding explanatory markdown cell
- Maintains educational clarity and structure
This commit is contained in:
Vijay Janapa Reddi
2025-07-20 17:49:03 -04:00
parent f995729f06
commit 8a7550b1fb

View File

@@ -966,6 +966,10 @@ print("📈 Final Progress: Complete data pipeline ready for production ML!")
# %% [markdown]
"""
## 🔧 DEVELOPMENT
### 🧪 Unit Test: Dataset Interface Implementation
This test validates the abstract Dataset interface, ensuring proper inheritance, method implementation, and interface compliance for creating custom datasets in the TinyTorch data loading pipeline.
"""
# %%
@@ -986,6 +990,14 @@ def test_unit_dataset_interface():
print("✅ Dataset interface works correctly")
# %% [markdown]
"""
### 🧪 Unit Test: DataLoader Implementation
This test validates the DataLoader class functionality, ensuring proper batch creation, iteration capability, and integration with datasets for efficient data loading in machine learning training pipelines.
"""
# %%
def test_unit_dataloader():
"""Unit test for the DataLoader implementation."""
print("🔬 Unit Test: DataLoader...")
@@ -1005,6 +1017,14 @@ def test_unit_dataloader():
print("✅ DataLoader works correctly")
# %% [markdown]
"""
### 🧪 Unit Test: Simple Dataset Implementation
This test validates the SimpleDataset class, ensuring it can handle real-world data scenarios including proper data storage, indexing, and compatibility with the DataLoader for practical machine learning workflows.
"""
# %%
def test_unit_simple_dataset():
"""Unit test for the SimpleDataset implementation."""
print("🔬 Unit Test: SimpleDataset...")
@@ -1023,6 +1043,14 @@ def test_unit_simple_dataset():
print("✅ SimpleDataset works correctly")
# %% [markdown]
"""
### 🧪 Unit Test: Complete Data Pipeline Integration
This comprehensive test validates the entire data pipeline from dataset creation through DataLoader batching, ensuring all components work together seamlessly for end-to-end machine learning data processing workflows.
"""
# %%
def test_unit_dataloader_pipeline():
"""Comprehensive unit test for the complete data pipeline."""
print("🔬 Comprehensive Test: Data Pipeline...")