The minimal reproducible code is described below. Consider a standard autocast training framework, where a weight matrix is a learnable parameter stored in float type; and input is a sparse_csr ...
Abstract: Sparse Matrix Multiplication (SpMM) is a crucial algorithm in modern platforms such as Artificial Intelligence (AI), Graph Neural Network (GNN), Graph Convolutional Network (GCN), and neural ...
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