Einsum is implemented by parallel einsum operations on each processor of that processor’s input slices, followed by MPI-allreduce across any mesh dimensions corresponding to reduced-out Tensor dimensions. Effective implementation of Gaussian process regression for machine learning. PhD thesis, University of Cambridge, Department of Engineering, Cambridge, UK, 2015. Abstract: This thesis presents frameworks for the effective implementation of Gaussian process regression for machine learning. It addresses this in three parts: effective iterative ... Aug 31, 2017 · It works for particular einsum strings as per their sparse tests, but still relies an einsum operation for higher dimensions/more inputs. The einsum strings that are throwing errors are 'bz,az->abz', 'cz,bz,az->abcz' and 'dz,cz,bz,az->abcdz' (and so on; always N two indices to one length N+1 index). To make our implementation faster we will be applying the transformations of the whole LSTM layer simultaneously. locali2h=nn.Linear(input_size,4*rnn_size)(input)-- input to hiddenlocalh2h=nn.Linear...