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v2.14.0+cu130
Intro
Learn the Basics
Introduction to PyTorch - YouTube Series
Deep Learning with PyTorch: A 60 Minute Blitz
Learning PyTorch with Examples
What is torch.nn really?
Understanding requires_grad, retain_grad, Leaf, and Non-leaf Tensors
NLP from Scratch
Visualizing Models, Data, and Training with TensorBoard
A guide on good usage of non_blocking and pin_memory() in PyTorch
Data Loading Optimization in PyTorch
Visualizing Gradients
Compilers
Introduction to torch.compile
torch.compile End-to-End Tutorial
Compiled Autograd: Capturing a larger backward graph for torch.compile
Inductor CPU backend debugging and profiling
Dynamic Compilation Control with torch.compiler.set_stance
Demonstration of torch.export flow, common challenges and the solutions to address them
(beta) Compiling the optimizer with torch.compile
(beta) Running the compiled optimizer with an LR Scheduler
Using Variable Length Attention in PyTorch
Using User-Defined Triton Kernels with torch.compile
Compile Time Caching in torch.compile
Reducing torch.compile cold start compilation time with regional compilation
torch.export Tutorial
torch.export AOTInductor Tutorial for Python runtime (Beta)
Demonstration of torch.export flow, common challenges and the solutions to address them
Introduction to ONNX
Export a PyTorch model to ONNX
Extending the ONNX Exporter Operator Support
Export a model with control flow to ONNX
Building a Convolution/Batch Norm fuser with torch.compile
(beta) Building a Simple CPU Performance Profiler with FX
Domains
TorchVision Object Detection Finetuning Tutorial
Transfer Learning for Computer Vision Tutorial
Adversarial Example Generation
DCGAN Tutorial
Spatial Transformer Networks Tutorial
Reinforcement Learning (DQN) Tutorial
Reinforcement Learning (PPO) with TorchRL Tutorial
Train a Mario-playing RL Agent
Pendulum: Writing your environment and transforms with TorchRL
Introduction to TorchRec
Exploring TorchRec sharding
Distributed
PyTorch Distributed Overview
Distributed Data Parallel in PyTorch - Video Tutorials
Getting Started with Distributed Data Parallel
Writing Distributed Applications with PyTorch
Getting Started with Fully Sharded Data Parallel (FSDP2)
Introduction to Libuv TCPStore Backend
Large Scale Transformer model training with Tensor Parallel (TP)
Introduction to Distributed Pipeline Parallelism
