A comprehensive reference covering the 10 most common PyTorch RuntimeErrors related to tensor shapes. Each error includes the exact error text, root cause analysis, and a concrete code fix.
Quick-reference formulas for every common neural network layer type. Includes worked examples with real numbers for Conv2d, Linear, LSTM, MaxPool2d, and more.
TENSOR PREFLIGHT · DOWNLOADABLE PYTORCH TOOLKIT
Trace a local forward pass, inspect tensor shapes in an HTML report, and turn a repair into a regression check. Includes eight broken-and-fixed workflows, source code and setup instructions.
Use the free calculator for a layer formula or a quick shape check.
Consider Tensor Preflight when you have a local PyTorch model and want a forward-pass report plus repeatable checks. Python 3.9+ and PyTorch 2.8+ are required. It does not run your model in this website or automatically repair it.
Open the sample report before buying to check the output format.
Python 3.9+ · PyTorch 2.8+ · Runs locally