8000 Update scheduled params API by copybara-service[bot] · Pull Request #1073 · google/vizier · GitHub
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Update scheduled params API #1073

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Merged
merged 1 commit into from
Mar 21, 2024
Merged

Update scheduled params API #1073

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4 changes: 4 additions & 0 deletions vizier/_src/algorithms/designers/scheduled_designer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -138,6 +138,10 @@ def __attrs_post_init__(self):
self._designer = self._designer_factory(self._problem)
self._update_designer_state()

@property
def scheduled_params(self) -> dict[str, ScheduledParam]:
return self._scheduled_params

def update(
self, completed: vza.CompletedTrials, all_active: vza.ActiveTrials
) -> None:
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26 changes: 16 additions & 10 deletions vizier/_src/algorithms/designers/scheduled_designer_test.py
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Expand Up @@ -125,22 +125,22 @@ def _gp_bandit_factory(problem):

scheduled_desinger = scheduled_gp_bandit.ScheduledGPBanditFactory(
gp_bandit_factory=_gp_bandit_factory,
expected_total_num_trials=5,
init_ucb_coef=4.0,
final_ucb_coef=1.0,
ucb_coef_decay_rate=1.2,
expected_total_num_trials=2,
init_ucb_coefficient=4.0,
final_ucb_coefficient=1.0,
decay_ucb_coefficient=1.2,
)(problem)

self.assertLen(
test_runners.RandomMetricsRunner(
problem,
iters=5,
iters=2,
batch_size=1,
verbose=1,
validate_parameters=True,
seed=1,
).run_designer(scheduled_desinger),
5,
2,
)


Expand All @@ -163,10 +163,16 @@ def _gp_ucb_pe_factory(

scheduled_desinger = scheduled_gp_ucb_pe.ScheduledGPUCBPEFactory(
gp_ucb_pe_factory=_gp_ucb_pe_factory,
expected_total_num_trials=5,
init_ucb_coef=4.0,
final_ucb_coef=1.0,
ucb_coef_decay_rate=1.2,
expected_total_num_trials=3,
init_ucb_coefficient=4.0,
final_ucb_coefficient=1.0,
decay_ucb_coefficient=1.2,
init_explore_region_ucb_coefficient=1.0,
final_explore_region_ucb_coefficient=0.5,
decay_explore_region_ucb_coefficient=1.2,
init_ucb_overwrite_probability=0.25,
final_ucb_overwrite_probability=0.0,
decay_ucb_overwrite_probability=1.0,
)(problem)

self.assertLen(
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17 changes: 8 additions & 9 deletions vizier/_src/algorithms/designers/scheduled_gp_bandit.py
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Expand Up @@ -30,11 +30,10 @@ class ScheduledGPBanditFactory:
"""Scheduled GP-Bandit factory."""

_gp_bandit_factory: Callable[[vz.ProblemStatement], gp_bandit.VizierGPBandit]
_init_ucb_coef: float
_final_ucb_coef: float
_ucb_coef_decay_rate: float
_init_ucb_coefficient: float
_final_ucb_coefficient: float
_decay_ucb_coefficient: float
_expected_total_num_trials: int
_ucb_coef_param_name: str = attrs.field(default='ucb_coef', init=False)

def __call__(
self,
Expand All @@ -45,20 +44,20 @@ def __call__(
def _gp_bandit_state_updater(designer, params):
designer._scoring_function_factory = ( # pylint: disable=protected-access
acquisitions.bayesian_scoring_function_factory(
lambda _: acquisitions.UCB(params[self._ucb_coef_param_name])
lambda _: acquisitions.UCB(params['ucb_coefficient'])
)
)

ucb_coef_param = scheduled_designer.ExponentialScheduledParam(
init_value=self._init_ucb_coef,
final_value=self._final_ucb_coef,
rate=self._ucb_coef_decay_rate,
init_value=self._init_ucb_coefficient,
final_value=self._final_ucb_coefficient,
rate=self._decay_ucb_coefficient,
)

return scheduled_designer.ScheduledDesigner(
problem,
designer_factory=self._gp_bandit_factory,
designer_state_updater=_gp_bandit_state_updater,
scheduled_params={self._ucb_coef_param_name: ucb_coef_param},
scheduled_params={'ucb_coefficient': ucb_coef_param},
expected_total_num_trials=self._expected_total_num_trials,
)
59 changes: 48 additions & 11 deletions vizier/_src/algorithms/designers/scheduled_gp_ucb_pe.py
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Expand Up @@ -25,19 +25,28 @@
from vizier._src.algorithms.designers import scheduled_designer


# TODO: Add scheduling to more params.
@attrs.define(kw_only=True)
class ScheduledGPUCBPEFactory:
"""Scheduled GP-UCB-PE factory."""

_gp_ucb_pe_factory: Callable[
[vz.ProblemStatement], gp_ucb_pe.VizierGPUCBPEBandit
]
_init_ucb_coef: float
_final_ucb_coef: float
_ucb_coef_decay_rate: float
_expected_total_num_trials: int
_ucb_coef_param_name: str = attrs.field(default='ucb_coef', init=False)
# ucb_coefficient
_init_ucb_coefficient: float
_final_ucb_coefficient: float
_decay_ucb_coefficient: float

# explore_region_ucb_coefficient
_init_explore_region_ucb_coefficient: float
_final_explore_region_ucb_coefficient: float
_decay_explore_region_ucb_coefficient: float

# ucb_overwrite_probability
_init_ucb_overwrite_probability: float
_final_ucb_overwrite_probability: float
_decay_ucb_overwrite_probability: float

def __call__(
self,
Expand All @@ -48,22 +57,50 @@ def __call__(
def _gp_ucb_pe_state_updater(designer, params):
# Create a new copy of the config and replace the ucb coefficient value.
updated_config = dc.replace(
designer._config, ucb_coefficient=params[self._ucb_coef_param_name] # pylint: disable=protected-access
designer._config, # pylint: disable=protected-access
ucb_coefficient=params['ucb_coefficient'],
explore_region_ucb_coefficient=params[
'explore_region_ucb_coefficient'
],
ucb_overwrite_probability=params['ucb_overwrite_probability'],
)
# Update the designer config. As the GP_UCB_PE state is recomputed every
# suggest() call based on the config, this effectively updates the state.
# TODO: Instead of changing internal state, use public method.
designer._config = updated_config # pylint: disable=protected-access

ucb_coef_param = scheduled_designer.ExponentialScheduledParam(
init_value=self._init_ucb_coef,
final_value=self._final_ucb_coef,
rate=self._ucb_coef_decay_rate,
ucb_coefficient_param = scheduled_designer.ExponentialScheduledParam(
init_value=self._init_ucb_coefficient,
final_value=self._final_ucb_coefficient,
rate=self._decay_ucb_coefficient,
)

explore_region_ucb_coefficient_param = (
scheduled_designer.ExponentialScheduledParam(
init_value=self._init_explore_region_ucb_coefficient,
final_value=self._final_explore_region_ucb_coefficient,
rate=self._decay_explore_region_ucb_coefficient,
)
)

ucb_overwrite_probability_param = (
scheduled_designer.ExponentialScheduledParam(
init_value=self._init_ucb_overwrite_probability,
final_value=self._final_ucb_overwrite_probability,
rate=self._decay_ucb_overwrite_probability,
)
)

scheduled_params = {
'ucb_coefficient': ucb_coefficient_param,
'explore_region_ucb_coefficient': explore_region_ucb_coefficient_param,
'ucb_overwrite_probability': ucb_overwrite_probability_param,
}

return scheduled_designer.ScheduledDesigner(
problem,
designer_factory=self._gp_ucb_pe_factory,
designer_state_updater=_gp_ucb_pe_state_updater,
scheduled_params={self._ucb_coef_param_name: ucb_coef_param},
scheduled_params=scheduled_params,
expected_total_num_trials=self._expected_total_num_trials,
)
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