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

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

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

tf.batch_matmul(x, y, adj_x=None, adj_y=None, name=None) Multiplies slices of two tensors in batches. Multiplies

tf.reduce_any(input_tensor, reduction_indices=None, keep_dims=False, name=None) Computes the "logical or" of elements across dimensions

tf.lgamma(x, name=None) Computes the log of the absolute value of Gamma(x) element-wise.

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

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

tf.argmax(input, dimension, name=None) Returns the index with the largest value across dimensions of a tensor.

tf.maximum(x, y, name=None) Returns the max of x and y (i.e. x > y ? x : y) element-wise. NOTE: