{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/10"}],"enrichment":{"capability":"Displays a Keras-style summary of PyTorch neural network models, showing layer types, output shapes, and parameter counts without requiring manual inspection of the model structure.","skillfed_tags":["model-inspection","deprecated"],"use_cases":["Quickly inspect the architecture of a custom neural network during development and debugging.","Estimate total model size in parameters and memory footprint before training or deployment.","Verify that layer output shapes match expectations when designing a new network.","Document model structure in notebooks or reports with a clean, readable summary table.","Check parameter counts across different model variants to compare complexity."],"what_it_does":"torchsummary provides a quick way to inspect neural network models by printing a formatted table of layers, output shapes, and parameter counts\u2014similar to Keras's built-in `model.summary()` method. It works by running a forward pass through the network with dummy input of the specified size and capturing layer information along the way.\n\nThe package has no runtime dependencies and installs easily, but it is no longer actively maintained. The original author's description explicitly directs users to torchinfo as a newer, updated alternative. Use torchsummary only if you are working with legacy code or have a specific reason to avoid migrating.","worth_installing":"No\u2014the package is dormant and its own documentation recommends torchinfo as the maintained successor. Install torchsummary only if you are maintaining legacy code that already depends on it; for new projects, use torchinfo instead."},"id":"torchsummary","links":{"html":"https://skillfed.io/packages/torchsummary","md":"https://skillfed.io/packages/torchsummary.md","pypi":"https://pypi.org/project/torchsummary/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2018-09-26","license_spdx":null,"license_treatment":"unclear","name":"torchsummary","python_support":"unspecified","summary":"Model summary in PyTorch similar to `model.summary()` in Keras"},"popularity":{"monthly_downloads":101495,"position":12930,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"1.5.1"}