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.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:

tf.complex_abs(x, name=None) Computes the complex absolute value of a tensor. Given a tensor x

tf.pow(x, y, name=None) Computes the power of one value to another. Given a tensor x

tf.imag(input, name=None) Returns the imaginary part of a complex number. Given a tensor input

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

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

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