tf.matrix_diag_part(input, name=None) Returns the batched diagonal part of a batched tensor. This

tf.igamma(a, x, name=None) Compute the lower regularized incomplete Gamma function Q(a, x). The

tf.matmul(a, b, transpose_a=False, transpose_b=False, a_is_sparse=False, b_is_sparse=False, name=None) Multiplies matrix a

tf.log(x, name=None) Computes natural logarithm of x element-wise. I.e., \(y = \log_e x\).

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

tf.sin(x, name=None) Computes sin of x element-wise. Args:

tf.atan(x, name=None) Computes atan of x element-wise. Args:

tf.squared_difference(x, y, name=None) Returns (x - y)(x - y) element-wise. NOTE:

tf.tan(x, name=None) Computes tan of x element-wise. Args:

tf.neg(x, name=None) Computes numerical negative value element-wise. I.e., (y = -x).