Introduction to torch compile

Описание: In this comprehensive tutorial, learn how to use torch.compile to significantly speed up your PyTorch code with minimal changes. We'll cover everything from basic usage to advanced techniques, performance benchmarking, and comparisons with other optimization methods like TorchScript and FX Tracing.

📚 What You'll Learn:
• How to use torch.compile to optimize PyTorch models
• Nested function compilation techniques
• Selective compilation with torch.compiler.disable
• Real-world performance benchmarks (inference & training)
• Comparisons with TorchScript and FX Tracing
• Handling data-dependent control flow and mixed types
• Best practices for production deployment

⏱️ Timestamps:
00:00 - Introduction to torch.compile: Speed Up Your PyTorch Code
01:24 - Part 1: Basic Usage
02:53 - Part 2: Nested Function Compilation
03:43 - Part 3: Selective Compilation with torch.compiler.disable
04:21 - Part 4: Performance Benchmarking
04:51 - Inference Performance Comparison
06:33 - Training Performance Comparison
07:43 - Part 5: Comparison with TorchScript and FX Tracing
07:55 - Data-Dependent Control Flow
09:25 - Handling Mixed Types and Non-PyTorch Functions
10:34 - torch.compile handles it gracefully
12:20 - Summary and Best Practices