garage.tf.optimizers.lbfgs_optimizer module¶
Limited-memory BFGS (L-BFGS) optimizer.
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class
LbfgsOptimizer
(max_opt_itr=20, callback=None)[source]¶ Bases:
object
Limited-memory BFGS (L-BFGS) optimizer.
Performs unconstrained optimization via L-BFGS.
Parameters: - max_opt_itr (int) – Maximum iteration for update.
- callback (callable) – Function to call during optimization.
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loss
(inputs, extra_inputs=None)[source]¶ The loss.
Parameters: Returns: Loss.
Return type: Raises: Exception
– If loss function is None, i.e. not defined.
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optimize
(inputs, extra_inputs=None, name='optimize')[source]¶ Perform optimization.
Parameters: Raises: Exception
– If loss function is None, i.e. not defined.
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update_opt
(loss, target, inputs, extra_inputs=None, name='LbfgsOptimizer', **kwargs)[source]¶ Construct operation graph for the optimizer.
Parameters: - loss (tf.Tensor) – Loss objective to minimize.
- target (object) – Target object to optimize. The object should implemenet get_params() and get_param_values.
- inputs (list[tf.Tensor]) – List of input placeholders.
- extra_inputs (list[tf.Tensor]) – List of extra input placeholders.
- name (str) – Name scope.
- kwargs (dict) – Extra unused keyword arguments. Some optimizers have extra input, e.g. KL constraint.