tf.sparse_segment_mean(data, indices, segment_ids, name=None) Computes the mean along sparse segments of a tensor.

tf.reduce_max(input_tensor, reduction_indices=None, keep_dims=False, name=None) Computes the maximum of elements across dimensions

tf.diag(diagonal, name=None) Returns a diagonal tensor with a given diagonal values. Given a

tf.scalar_mul(scalar, x) Multiplies a scalar times a Tensor or IndexedSlices object.

tf.segment_mean(data, segment_ids, name=None) Computes the mean along segments of a tensor. Read

tf.ifft(input, name=None) Compute the inverse 1-dimensional discrete Fourier Transform over the inner-most

tf.real(input, name=None) Returns the real part of a complex number. Given a tensor input

tf.digamma(x, name=None) Computes Psi, the derivative of Lgamma (the log of the absolute value of

tf.self_adjoint_eigvals(tensor, name=None) Computes the eigenvalues of one or more self-adjoint matrices.

tf.matrix_solve(matrix, rhs, adjoint=None, name=None) Solves systems of linear equations. Matrix