|---| | [ View source on GitHub](https://github.com/tensorflow/probability/blob/v0.25.0/tensorflow_probability/python/math/minimize.py#L30-L56) | Namedtuple of quantities that may be traced from [`tfp.math.minimize`](https://www.tensorflow.org/probability/api_docs/python/tfp/math/minimize). tfp.math.MinimizeTraceableQuantities( step, loss, gradients, parameters, has_converged, convergence_criterion_state, optimizer_state, seed ) These are (in order): - `step`: int `Tensor` index (starting from zero) of the current optimization step. - `loss`: float `Tensor` value returned from the user-provided `loss_fn`. - `gradients`: list of `Tensor` gradients of `loss` with respect to the parameters. - `parameters`: list of `Tensor` values of parameters being optimized. This corresponds to `trainable_variables` passed to `minimize`, or `init` passed to `minimize_stateless`. - `has_converged`: boolean `Tensor` of the same shape as `loss_fn`, with `True` values corresponding to loss entries that have converged according to the user-provided convergence criterion. If no convergence criterion was specified, this is `None`. - `convergence_criterion_state`: structure of `Tensor`s containing any auxiliary state (e.g., moving averages of loss or other quantities) maintained by the user-provided convergence criterion. - `optimizer_state`: structure of `Tensor`s containing optional state from a user-provided pure optimizer.


| ## Attributes || |---|---| | `step` | A `namedtuple` alias for field number 0 | | `loss` | A `namedtuple` alias for field number 1 | | `gradients` | A `namedtuple` alias for field number 2 | | `parameters` | A `namedtuple` alias for field number 3 | | `has_converged` | A `namedtuple` alias for field number 4 | | `convergence_criterion_state` | A `namedtuple` alias for field number 5 | | `optimizer_state` | A `namedtuple` alias for field number 6 | | `seed` | A `namedtuple` alias for field number 7 |