tf.add_n(inputs, name=None) Adds all input tensors element-wise. Args:

tf.cholesky(input, name=None) Computes the Cholesky decomposition of one or more square matrices. The

tf.fft2d(input, name=None) Compute the 2-dimensional discrete Fourier Transform over the inner-most 2

tf.matrix_inverse(input, adjoint=None, name=None) Computes the inverse of one or more square invertible matrices or their

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

tf.transpose(a, perm=None, name='transpose') Transposes a. Permutes the dimensions according to perm

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

tf.erf(x, name=None) Computes the Gauss error function of x element-wise. Args:

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

tf.minimum(x, y, name=None) Returns the min of x and y (i.e. x < y ? x : y) element-wise. NOTE: