Source code for ax.exceptions.generation_strategy

#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.

import typing  # noqa F401, this is to enable type-checking

from ax.exceptions.core import AxError, OptimizationComplete

[docs]class MaxParallelismReachedException(AxError): """Special exception indicating that maximum number of trials running in parallel set on a given step (as `GenerationStep.max_parallelism`) has been reached. Upon getting this exception, users should wait until more trials are completed with data, to generate new trials. """ def __init__(self, step_index: int, model_name: str, num_running: int) -> None: super().__init__( f"Maximum parallelism for generation step #{step_index} ({model_name})" f" has been reached: {num_running} trials are currently 'running'. Some " "trials need to be completed before more trials can be generated. See " " to understand why limited parallelism " "improves performance of Bayesian optimization." )
[docs]class GenerationStrategyCompleted(OptimizationComplete): """Special exception indicating that the generation strategy has been completed. """ pass
[docs]class GenerationStrategyRepeatedPoints(GenerationStrategyCompleted): """Special exception indicating that the generation strategy is repeatedly suggesting previously sampled points. """ pass