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.
`name`	Optional name to use for grouping all the gradient ops together. defaults to 'hessians'.
`colocate_gradients_with_ops`	See `gradients()` documentation for details.
`gate_gradients`	See `gradients()` documentation for details.
`aggregation_method`	See `gradients()` documentation for details.

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.

tf.hessians

Args

Returns

Raises