Abstract: Structured sparsity has been proposed as an efficient way to prune the complexity of Machine Learning (ML) applications and to simplify the handling of sparse data in hardware. Accelerating ...
#2779 Accuracy failures in logspace op 🟢 Open PawelSwider2000 module: ut, skipped, bug_fix_stage5 #2744 [Bug Skip]: extended test failures when test_compare_cpu atol and rtol changed 🟢 Open pbielak ...
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 ...