tf.compat.v1.hessians | TensorFlow v2.16.1 (original) (raw)
tf.compat.v1.hessians
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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 yswith 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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Last updated 2024-04-26 UTC.