tf.cumprod(x, axis=0, exclusive=False, reverse=False, name=None) Compute the cumulative product of the tensor x along

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

tf.sqrt(x, name=None) Computes square root of x element-wise. I.e., (y = \sqrt{x} = x^{1/2}).

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

tf.cumsum(x, axis=0, exclusive=False, reverse=False, name=None) Compute the cumulative sum of the tensor x along

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

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

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

tf.conj(x, name=None) Returns the complex conjugate of a complex number. Given a tensor input

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