def testSortable(self):
new_batch_trial = self.experiment.new_batch_trial()
self.assertTrue(self.batch < new_batch_trial)
abandoned_arm = get_abandoned_arm()
abandoned_arm_2 = get_abandoned_arm()
abandoned_arm_2.name = "0_1"
self.assertTrue(abandoned_arm < abandoned_arm_2)
generator_run = get_generator_run()
generator_run_struct = GeneratorRunStruct(generator_run=generator_run,
weight=1.0)
generator_run_struct_2 = GeneratorRunStruct(
generator_run=generator_run, weight=2.0)
self.assertTrue(generator_run_struct < generator_run_struct_2)
def trial_from_sqa(self, trial_sqa: SQATrial,
experiment: Experiment) -> BaseTrial:
"""Convert SQLAlchemy Trial to Ax Trial."""
if trial_sqa.is_batch:
trial = BatchTrial(experiment=experiment,
optimize_for_power=trial_sqa.optimize_for_power)
generator_run_structs = [
GeneratorRunStruct(
generator_run=self.generator_run_from_sqa(
generator_run_sqa=generator_run_sqa),
weight=generator_run_sqa.weight or 1.0,
) for generator_run_sqa in trial_sqa.generator_runs
]
if trial_sqa.status_quo_name is not None:
new_generator_run_structs = []
for struct in generator_run_structs:
if (struct.generator_run.generator_run_type ==
GeneratorRunType.STATUS_QUO.name):
status_quo_weight = struct.generator_run.weights[0]
trial._status_quo = struct.generator_run.arms[0]
trial._status_quo_weight_override = status_quo_weight
else:
new_generator_run_structs.append(struct)
generator_run_structs = new_generator_run_structs
trial._generator_run_structs = generator_run_structs
trial._abandoned_arms_metadata = {
abandoned_arm_sqa.name: self.abandoned_arm_from_sqa(
abandoned_arm_sqa=abandoned_arm_sqa)
for abandoned_arm_sqa in trial_sqa.abandoned_arms
}
else:
trial = Trial(experiment=experiment)
if trial_sqa.generator_runs:
if len(trial_sqa.generator_runs) != 1:
raise SQADecodeError( # pragma: no cover
"Cannot decode SQATrial to Trial because trial is not batched "
"but has more than one generator run.")
trial._generator_run = self.generator_run_from_sqa(
generator_run_sqa=trial_sqa.generator_runs[0])
trial._index = trial_sqa.index
trial._trial_type = trial_sqa.trial_type
# Swap `DISPATCHED` for `RUNNING`, since `DISPATCHED` is deprecated and nearly
# equivalent to `RUNNING`.
trial._status = (trial_sqa.status
if trial_sqa.status != TrialStatus.DISPATCHED else
TrialStatus.RUNNING)
trial._time_created = trial_sqa.time_created
trial._time_completed = trial_sqa.time_completed
trial._time_staged = trial_sqa.time_staged
trial._time_run_started = trial_sqa.time_run_started
trial._abandoned_reason = trial_sqa.abandoned_reason
# pyre-fixme[9]: _run_metadata has type `Dict[str, Any]`; used as
# `Optional[Dict[str, Any]]`.
trial._run_metadata = (dict(trial_sqa.run_metadata)
if trial_sqa.run_metadata is not None else None)
trial._num_arms_created = trial_sqa.num_arms_created
trial._runner = (self.runner_from_sqa(trial_sqa.runner)
if trial_sqa.runner else None)
return trial
def trial_from_sqa(self,
trial_sqa: SQATrial,
experiment: Experiment,
reduced_state: bool = False) -> BaseTrial:
"""Convert SQLAlchemy Trial to Ax Trial.
Args:
trial_sqa: `SQATrial` to decode.
reduced_state: Whether to load trial's generator run(s) with a slightly
reduced state (without model state, search space, and optimization config).
"""
if trial_sqa.is_batch:
trial = BatchTrial(
experiment=experiment,
optimize_for_power=trial_sqa.optimize_for_power,
ttl_seconds=trial_sqa.ttl_seconds,
index=trial_sqa.index,
)
generator_run_structs = [
GeneratorRunStruct(
generator_run=self.generator_run_from_sqa(
generator_run_sqa=generator_run_sqa,
reduced_state=reduced_state,
),
weight=generator_run_sqa.weight or 1.0,
) for generator_run_sqa in trial_sqa.generator_runs
]
if trial_sqa.status_quo_name is not None:
new_generator_run_structs = []
for struct in generator_run_structs:
if (struct.generator_run.generator_run_type ==
GeneratorRunType.STATUS_QUO.name):
status_quo_weight = struct.generator_run.weights[0]
trial._status_quo = struct.generator_run.arms[0]
trial._status_quo_weight_override = status_quo_weight
else:
new_generator_run_structs.append(struct)
generator_run_structs = new_generator_run_structs
trial._generator_run_structs = generator_run_structs
if not reduced_state:
trial._abandoned_arms_metadata = {
abandoned_arm_sqa.name: self.abandoned_arm_from_sqa(
abandoned_arm_sqa=abandoned_arm_sqa)
for abandoned_arm_sqa in trial_sqa.abandoned_arms
}
trial._refresh_arms_by_name() # Trigger cache build
else:
trial = Trial(
experiment=experiment,
ttl_seconds=trial_sqa.ttl_seconds,
index=trial_sqa.index,
)
if trial_sqa.generator_runs:
if len(trial_sqa.generator_runs) != 1:
raise SQADecodeError( # pragma: no cover
"Cannot decode SQATrial to Trial because trial is not batched "
"but has more than one generator run.")
trial._generator_run = self.generator_run_from_sqa(
generator_run_sqa=trial_sqa.generator_runs[0],
reduced_state=reduced_state,
)
trial._trial_type = trial_sqa.trial_type
# Swap `DISPATCHED` for `RUNNING`, since `DISPATCHED` is deprecated and nearly
# equivalent to `RUNNING`.
trial._status = (trial_sqa.status
if trial_sqa.status != TrialStatus.DISPATCHED else
TrialStatus.RUNNING)
trial._time_created = trial_sqa.time_created
trial._time_completed = trial_sqa.time_completed
trial._time_staged = trial_sqa.time_staged
trial._time_run_started = trial_sqa.time_run_started
trial._abandoned_reason = trial_sqa.abandoned_reason
# pyre-fixme[9]: _run_metadata has type `Dict[str, Any]`; used as
# `Optional[Dict[str, Any]]`.
# pyre-fixme[8]: Attribute has type `Dict[str, typing.Any]`; used as
# `Optional[typing.Dict[Variable[_KT], Variable[_VT]]]`.
trial._run_metadata = (
# pyre-fixme[6]: Expected `Mapping[Variable[_KT], Variable[_VT]]` for
# 1st param but got `Optional[Dict[str, typing.Any]]`.
dict(trial_sqa.run_metadata)
if trial_sqa.run_metadata is not None else None)
trial._num_arms_created = trial_sqa.num_arms_created
trial._runner = (self.runner_from_sqa(trial_sqa.runner)
if trial_sqa.runner else None)
trial._generation_step_index = trial_sqa.generation_step_index
trial._properties = trial_sqa.properties or {}
trial.db_id = trial_sqa.id
return trial