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@@ -181,6 +181,14 @@ documentation, e.g. in the candidates from the rewrite library, with or without training using a small portion of the training data, to achieve local performance gains. +The following rewrites are supported: + +* fully-connected - replaces a subgraph with a fully connected layer +* fully-connected-sparsity24 - replaces a subgraph with a pruned 2:4 sparse fully connected layer +* fully-connected-clustering - replaces a subgraph with a clustered fully connected layer +* conv2d-sparsity24 - replaces a subgraph with a pruned 2:4 sparse conv2d layer +* conv2d-clustering - replaces a subgraph with a clustered conv2d layer + **Note:** A ***Keras model*** (.h5 or SavedModel) is required as input to perform pruning and clustering. A ***TensorFlow Lite model*** is required as input to perform a rewrite. |