Files
TinyTorch/assignments/source/00_setup/setup_dev.ipynb
Vijay Janapa Reddi 3d81f76897 Clean up stale documentation - remove outdated workflow patterns
- Remove 5 outdated development guides that contradicted clean NBGrader/nbdev architecture
- Update all documentation to reflect assignments/ directory structure
- Remove references to deprecated #| hide approach and old command patterns
- Ensure clean separation: NBGrader for assignments, nbdev for package export
- Update README, Student Guide, and Instructor Guide with current workflows
2025-07-12 12:36:31 -04:00

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{
"cells": [
{
"cell_type": "markdown",
"id": "fc1bae4e",
"metadata": {
"cell_marker": "\"\"\""
},
"source": [
"# Assignment 0: Setup - TinyTorch Development Environment (INSTRUCTOR VERSION)\n",
"\n",
"This is the instructor solution version showing how solutions are filled in."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "876aef2e",
"metadata": {},
"outputs": [],
"source": [
"#| default_exp core.utils"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e9d346d7",
"metadata": {},
"outputs": [],
"source": [
"#| export\n",
"# Required imports for TinyTorch utilities\n",
"import sys\n",
"import platform\n",
"from datetime import datetime\n",
"import os\n",
"from pathlib import Path"
]
},
{
"cell_type": "markdown",
"id": "687b365f",
"metadata": {
"cell_marker": "\"\"\"",
"lines_to_next_cell": 1
},
"source": [
"## Problem 1: Hello Function (10 points)\n",
"\n",
"Write a function that displays a welcome message for TinyTorch."
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c8f5870e",
"metadata": {
"lines_to_next_cell": 1,
"nbgrader": {
"grade": false,
"grade_id": "hello_function",
"locked": false,
"schema_version": 3,
"solution": true,
"task": false
}
},
"outputs": [],
"source": [
"#| export\n",
"def hello_tinytorch():\n",
" \"\"\"\n",
" Display a welcome message for TinyTorch.\n",
" \n",
" This function should:\n",
" 1. Try to load ASCII art from 'tinytorch_flame.txt' if it exists\n",
" 2. If the file doesn't exist, display a simple text banner\n",
" 3. Print \"TinyTorch\" and \"Build ML Systems from Scratch!\"\n",
" 4. Handle any exceptions gracefully\n",
" \"\"\"\n",
" ### BEGIN SOLUTION\n",
" # YOUR CODE HERE\n",
" raise NotImplementedError()\n",
" ### END SOLUTION"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3a6d8a5a",
"metadata": {
"lines_to_next_cell": 1,
"nbgrader": {
"grade": false,
"grade_id": "add_function",
"locked": false,
"schema_version": 3,
"solution": true,
"task": false
}
},
"outputs": [],
"source": [
"#| export\n",
"def add_numbers(a, b):\n",
" \"\"\"\n",
" Add two numbers together.\n",
" \n",
" Args:\n",
" a: First number (int or float)\n",
" b: Second number (int or float)\n",
" \n",
" Returns:\n",
" Sum of a and b\n",
" \"\"\"\n",
" ### BEGIN SOLUTION\n",
" # YOUR CODE HERE\n",
" raise NotImplementedError()\n",
" ### END SOLUTION"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "693d10ea",
"metadata": {
"lines_to_next_cell": 1,
"nbgrader": {
"grade": false,
"grade_id": "systeminfo_class",
"locked": false,
"schema_version": 3,
"solution": true,
"task": false
}
},
"outputs": [],
"source": [
"#| export\n",
"class SystemInfo:\n",
" \"\"\"\n",
" A class for collecting and displaying system information.\n",
" \"\"\"\n",
" \n",
" def __init__(self):\n",
" \"\"\"\n",
" Initialize the SystemInfo object.\n",
" Collect Python version, platform, and machine information.\n",
" \"\"\"\n",
" ### BEGIN SOLUTION\n",
" # YOUR CODE HERE\n",
" raise NotImplementedError()\n",
" ### END SOLUTION\n",
" \n",
" def __str__(self):\n",
" \"\"\"\n",
" Return a formatted string representation of system information.\n",
" Format: \"Python X.Y.Z on Platform (Architecture)\"\n",
" \"\"\"\n",
" ### BEGIN SOLUTION\n",
" # YOUR CODE HERE\n",
" raise NotImplementedError()\n",
" ### END SOLUTION\n",
" \n",
" def is_compatible(self):\n",
" \"\"\"\n",
" Check if the Python version is compatible (>= 3.8).\n",
" Returns True if compatible, False otherwise.\n",
" \"\"\"\n",
" ### BEGIN SOLUTION\n",
" # YOUR CODE HERE\n",
" raise NotImplementedError()\n",
" ### END SOLUTION"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "77e585a9",
"metadata": {
"nbgrader": {
"grade": false,
"grade_id": "developer_profile_class",
"locked": false,
"schema_version": 3,
"solution": true,
"task": false
}
},
"outputs": [],
"source": [
"#| export\n",
"class DeveloperProfile:\n",
" \"\"\"\n",
" A class representing a developer profile.\n",
" \"\"\"\n",
" \n",
" def __init__(self, name=\"Student\", email=\"student@example.com\", affiliation=\"TinyTorch Community\", specialization=\"ML Systems\"):\n",
" \"\"\"\n",
" Initialize a developer profile.\n",
" \n",
" Args:\n",
" name: Developer's name\n",
" email: Developer's email\n",
" affiliation: Developer's affiliation or organization\n",
" specialization: Developer's area of specialization\n",
" \"\"\"\n",
" ### BEGIN SOLUTION\n",
" # YOUR CODE HERE\n",
" raise NotImplementedError()\n",
" ### END SOLUTION\n",
" \n",
" def __str__(self):\n",
" \"\"\"\n",
" Return a basic string representation of the developer.\n",
" Format: \"Name (email)\"\n",
" \"\"\"\n",
" ### BEGIN SOLUTION\n",
" # YOUR CODE HERE\n",
" raise NotImplementedError()\n",
" ### END SOLUTION\n",
" \n",
" def get_signature(self):\n",
" \"\"\"\n",
" Return a formatted signature for the developer.\n",
" Should include name, affiliation, and specialization.\n",
" \"\"\"\n",
" ### BEGIN SOLUTION\n",
" # YOUR CODE HERE\n",
" raise NotImplementedError()\n",
" ### END SOLUTION\n",
" \n",
" def get_profile_info(self):\n",
" \"\"\"\n",
" Return comprehensive profile information as a dictionary.\n",
" \"\"\"\n",
" ### BEGIN SOLUTION\n",
" # YOUR CODE HERE\n",
" raise NotImplementedError()\n",
" ### END SOLUTION "
]
}
],
"metadata": {
"jupytext": {
"main_language": "python"
}
},
"nbformat": 4,
"nbformat_minor": 5
}