Some tensor networks are made of symmetric tensors: tensors that are left invariant when we act on their indices with transformations that form a symmetry group. For instance, a tensor can be ...

# latency of a neural network at the expense of some model accuracy. It is # also known as **fine-grained structured sparsity** or **2:4 structured # sparsity**. # question-answering model to be 2:4 ...