 Linear and ConvNd layers will typically have a parameter named <code>weight</code>, a buffer named <code>weight_mask</code>. Additionally, parameters optionally also contain a sparsity buffer (e.g. for ConvNd, named <code>weight_sparsity</code>), which is used by the DynamicSparseTrainingCallback.</p>

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