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import torch import math torch.set_default_device('cuda') in_dim = 24 out_dim = 2 xavier_stddev = math.sqrt(2.0 / (in_dim + out_dim)) W = torch.normal(0, xavier ...

Abstract: This work explores the potential of the generalized canonical polyadic (GCP) tensor decomposition to be used as a diagnostic tool to determine the underlying statistical nature of a dataset.