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

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

tf.asin(x, name=None) Computes asin 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.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.where(input, name=None) Returns locations of true values in a boolean tensor. This operation

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

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

tf.invert_permutation(x, name=None) Computes the inverse permutation of a tensor. This operation