mirror of
https://github.com/MLSysBook/TinyTorch.git
synced 2026-05-06 01:59:24 -05:00
0470838c31
- Create bold ASCII art logo with 'tiny' spelled vertically - Add flame banner above TORCH for visual impact - Update tagline to 'Don't import the future. Build it from tensors up.' - Simplify logo command to show philosophy and meaning - Remove unused preferences system - Clean up display logic and improve color scheme The new design features 'tiny' integrated vertically alongside TORCH, creating a unique visual identity that reinforces the framework's philosophy of building from small foundations up to powerful systems.
120 lines
4.9 KiB
Python
120 lines
4.9 KiB
Python
"""
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Logo command for TinyTorch CLI: explains the symbolism and meaning behind TinyTorch.
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"""
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from argparse import ArgumentParser, Namespace
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from rich.console import Console
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from rich.panel import Panel
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from rich.text import Text
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from rich.align import Align
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from pathlib import Path
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from .base import BaseCommand
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class LogoCommand(BaseCommand):
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@property
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def name(self) -> str:
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return "logo"
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@property
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def description(self) -> str:
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return "Learn about the TinyTorch logo and its meaning"
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def add_arguments(self, parser: ArgumentParser) -> None:
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parser.add_argument("--image", action="store_true",
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help="Show path to the actual logo image file")
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def run(self, args: Namespace) -> int:
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console = self.console
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# Display the ASCII logo first
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from ..core.console import print_ascii_logo
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print_ascii_logo()
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# Create the explanation text
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explanation = Text()
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# Title
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explanation.append("\n🔥 The TinyTorch Story\n\n", style="bold yellow")
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# The flame and sparks
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explanation.append("The Flame 🔥\n", style="bold orange1")
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explanation.append(
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"The flame represents the spark of understanding - how learning ML systems "
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"starts with a small flame that can grow into mastery. Just as a torch "
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"lights the way in darkness, TinyTorch illuminates the path to understanding "
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"neural networks from first principles.\n\n",
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style="dim"
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)
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# The sparks
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explanation.append("The Sparks ✨\n", style="bold orange1")
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explanation.append(
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"In our full logo, sparks fly from the flame - representing how knowledge "
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"spreads. Each concept you learn sends off sparks that ignite understanding "
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"in other areas. What starts small can catch fire and grow into something powerful.\n\n",
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style="dim"
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)
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# The "tiny" philosophy
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explanation.append("Why 'Tiny'? \n", style="bold cyan")
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explanation.append(
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"Inspired by TinyML's philosophy: small systems are accessible and powerful. "
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"'Tiny' means we start with the fundamentals, building understanding piece by piece. "
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"By keeping things small and focused, complex concepts become approachable. "
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"Every giant neural network started with tiny building blocks - tensors, gradients, "
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"and simple operations.\n\n",
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style="dim"
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)
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# The "Torch" connection
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explanation.append("Why 'Torch'? \n", style="bold cyan")
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explanation.append(
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"A tribute to PyTorch, the framework that revolutionized deep learning. "
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"While PyTorch is powerful, its complexity can overwhelm beginners. "
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"TinyTorch distills those same concepts into their essence, letting you "
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"build and understand every component. You're not just using a framework - "
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"you're building one.\n\n",
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style="dim"
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)
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# The neural network in the flame
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explanation.append("The Hidden Network 🔥\n", style="bold orange1")
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explanation.append(
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"Look closely at our logo - within the flame, there's a neural network pattern. "
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"This represents the core truth: inside every ML system, no matter how complex, "
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"are simple, connected components working together. The flame contains the network, "
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"just as understanding contains mastery.\n\n",
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style="dim"
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)
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# The philosophy
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explanation.append("The Philosophy 💡\n", style="bold green")
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explanation.append(
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"TinyTorch embodies the belief that anyone can understand ML systems by building them. "
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"Start small, understand deeply, build everything. What begins as a tiny flame of "
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"curiosity becomes the torch that lights your path to ML engineering mastery.\n\n",
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style="dim"
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)
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# Display in a nice panel
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console.print(Panel(
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explanation,
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title="[bold]About the TinyTorch Logo[/bold]",
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border_style="orange1",
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padding=(1, 2)
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))
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# Show logo file path if requested
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if args.image:
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logo_path = Path(__file__).parent.parent.parent / "logo" / "logo.png"
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if logo_path.exists():
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console.print(f"\n[cyan]Logo image location:[/cyan] {logo_path}")
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console.print("[dim]Open this file to see the full logo with sparks[/dim]")
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else:
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console.print(f"\n[yellow]Logo image not found at expected location[/yellow]")
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# Final inspiring message
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console.print("\n[bold yellow]🔥 Start small. Understand deeply. Build everything.[/bold yellow]\n")
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return 0 |