Constructs the Hessian of sum of ys
with respect to x
in xs
.
tf.compat.v1.hessians( ys, xs, name='hessians', colocate_gradients_with_ops=False, gate_gradients=False, aggregation_method=None )
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. |
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.3/api_docs/python/tf/compat/v1/hessians