midPyTorch
What is a computation graph in PyTorch?
Updated May 17, 2026
Short answer
A computation graph represents operations for automatic differentiation.
Deep explanation
PyTorch dynamically builds graph during forward pass for backpropagation.
Real-world example
Used internally in all neural network training.
Common mistakes
- Assuming static graphs like TensorFlow 1.x.
Follow-up questions
- What is dynamic graph?
- Why is it flexible?