tf.hessians

Constructs the Hessian of sum of ys with respect to x in xs.

tf.hessians(
    ys, xs, gate_gradients=False, aggregation_method=None, name='hessians'
)

hessians() adds ops to the graph to output the Hessian matrix of ys with respect to xs. It returns a list of Tensor of length len(xs) where each tensor is the Hessian of sum(ys).

The Hessian is a matrix of second-order partial derivatives of a scalar tensor (see https://en.wikipedia.org/wiki/Hessian_matrix for more details).

Args
ys	A Tensor or list of tensors to be differentiated.
xs	A Tensor or list of tensors to be used for differentiation.
gate_gradients	See gradients() documentation for details.
aggregation_method	See gradients() documentation for details.
name	Optional name to use for grouping all the gradient ops together. defaults to 'hessians'.

Returns
A list of Hessian matrices of sum(ys) for each x in xs.

Raises
LookupError	if one of the operations between xs and ys does not have a registered gradient function.