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

tf.matrix_set_diag(input, diagonal, name=None) Returns a batched matrix tensor with new batched diagonal values.

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

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

tf.sign(x, name=None) Returns an element-wise indication of the sign of a number. y = sign(x)

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

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

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

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

tf.matrix_transpose(a, name='matrix_transpose') Transposes last two dimensions of tensor a. For