Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.

Skip to main content

Modern PyTorch Guide home page

Official Docs
GitHub
GitHub

Building Models

Community
Forums

Getting Started

Overview
Study Plan 1
Study Plan 2

Tensors & Operations

Introduction to Tensors
Tensor Creation
Indexing & Slicing
Tensor Operations
Broadcasting
Views strides
Named tensors
Tensor attributes
Notes

Autograd & Differentiation

Autograd Basics
Computational Graph
Custom Autograd Functions
Gradients Explained
Requires grad
Forward mode

Neural Network Basics

nn.Module Basics
Parameters & Buffers
Forward Pass
Hooks
State dict
Init strategies

Data Loading

Datasets
DataLoaders
Transforms
Samplers
Pin memory
Webdataset

ETL Process

Overview

Custom Autograd Functions

Autograd & Differentiation

Custom Autograd Functions

Define your own forward and backward passes

Custom Autograd Functions

torch.autograd.Function for custom differentiable operations.

Computational Graph

Gradients Explained

x github linkedin

Powered byThis documentation is built and hosted on Mintlify, a developer documentation platform