tf.contrib.constrained_optimization.ConstrainedOptimizer

Base class representing a constrained optimizer.

tf.contrib.constrained_optimization.ConstrainedOptimizer(
    optimizer
)

A ConstrainedOptimizer wraps a tf.compat.v1.train.Optimizer (or more than one), and applies it to a ConstrainedMinimizationProblem. Unlike a tf.compat.v1.train.Optimizer, which takes a tensor to minimize as a parameter to its minimize() method, a constrained optimizer instead takes a ConstrainedMinimizationProblem.

Args
optimizer	tf.compat.v1.train.Optimizer, used to optimize the ConstraintedMinimizationProblem.

Attributes
optimizer	Returns the tf.compat.v1.train.Optimizer used for optimization.

Methods

minimize

View source

minimize(
    minimization_problem, unconstrained_steps=None, global_step=None, var_list=None,
    gate_gradients=train_optimizer.Optimizer.GATE_OP, aggregation_method=None,
    colocate_gradients_with_ops=False, name=None, grad_loss=None
)

Returns an Operation for minimizing the constrained problem.

This method combines the functionality of minimize_unconstrained and minimize_constrained. If global_step < unconstrained_steps, it will perform an unconstrained update, and if global_step >= unconstrained_steps, it will perform a constrained update.

The reason for this functionality is that it may be best to initialize the constrained optimizer with an approximate optimum of the unconstrained problem.

Args
minimization_problem	ConstrainedMinimizationProblem, the problem to optimize.
unconstrained_steps	int, number of steps for which we should perform unconstrained updates, before transitioning to constrained updates.
global_step	as in tf.compat.v1.train.Optimizer's minimize method.
var_list	as in tf.compat.v1.train.Optimizer's minimize method.
gate_gradients	as in tf.compat.v1.train.Optimizer's minimize method.
aggregation_method	as in tf.compat.v1.train.Optimizer's minimize method.
colocate_gradients_with_ops	as in tf.compat.v1.train.Optimizer's minimize method.
name	as in tf.compat.v1.train.Optimizer's minimize method.
grad_loss	as in tf.compat.v1.train.Optimizer's minimize method.

Returns
Operation, the train_op.

Raises
ValueError	If unconstrained_steps is provided, but global_step is not.

minimize_constrained

View source

minimize_constrained(
    minimization_problem, global_step=None, var_list=None,
    gate_gradients=train_optimizer.Optimizer.GATE_OP, aggregation_method=None,
    colocate_gradients_with_ops=False, name=None, grad_loss=None
)

Returns an Operation for minimizing the constrained problem.

Unlike minimize_unconstrained, this function attempts to find a solution that minimizes the objective portion of the minimization problem while satisfying the constraints portion.

Args
minimization_problem	ConstrainedMinimizationProblem, the problem to optimize.
global_step	as in tf.compat.v1.train.Optimizer's minimize method.
var_list	as in tf.compat.v1.train.Optimizer's minimize method.
gate_gradients	as in tf.compat.v1.train.Optimizer's minimize method.
aggregation_method	as in tf.compat.v1.train.Optimizer's minimize method.
colocate_gradients_with_ops	as in tf.compat.v1.train.Optimizer's minimize method.
name	as in tf.compat.v1.train.Optimizer's minimize method.
grad_loss	as in tf.compat.v1.train.Optimizer's minimize method.

Returns
Operation, the train_op.

minimize_unconstrained

View source

minimize_unconstrained(
    minimization_problem, global_step=None, var_list=None,
    gate_gradients=train_optimizer.Optimizer.GATE_OP, aggregation_method=None,
    colocate_gradients_with_ops=False, name=None, grad_loss=None
)

Returns an Operation for minimizing the unconstrained problem.

Unlike minimize_constrained, this function ignores the constraints (and proxy_constraints) portion of the minimization problem entirely, and only minimizes objective.

Args
minimization_problem	ConstrainedMinimizationProblem, the problem to optimize.
global_step	as in tf.compat.v1.train.Optimizer's minimize method.
var_list	as in tf.compat.v1.train.Optimizer's minimize method.
gate_gradients	as in tf.compat.v1.train.Optimizer's minimize method.
aggregation_method	as in tf.compat.v1.train.Optimizer's minimize method.
colocate_gradients_with_ops	as in tf.compat.v1.train.Optimizer's minimize method.
name	as in tf.compat.v1.train.Optimizer's minimize method.
grad_loss	as in tf.compat.v1.train.Optimizer's minimize method.

Returns
Operation, the train_op.