#torchinfo

This tool offers a Keras-like summary in PyTorch for detailed network visualization and debugging, installable via pip or GitHub. It enhances standard print functions by showing detailed architecture not visible otherwise, aiding in model understanding and optimization for various models like CNNs and VGG16.

Torchinfo offers in-depth PyTorch model summaries similar to TensorFlow's model.summary(), aiding in debugging neural networks. The project introduces a refined API beyond torchsummary and torchsummaryX, supporting RNNs, LSTMs, and flexible output formats, including use in Jupyter Notebooks. Features such as verbose mode and input data type support make Torchinfo an invaluable resource for developers seeking detailed insights into model parameters, operations, and architecture for PyTorch 1.4.0 and later.